Endocrinology

The incidence of acne in preadolescents was higher in girls than in boys, and was associated with higher body mass index (BMI) percentiles, in a large population-based retrospective study that used age- and sex-matched controls.

The investigators also identified “a potential association” with precocious puberty that they said “should be considered, especially among those presenting [with acne] under 8 or 9 years old.” The study was published in Pediatric Dermatology .

Senior author Megha M. Tollefson, MD, and coauthors used resources of the Rochester Epidemiology Project to identify all residents of Olmstead County, Minn., who were diagnosed with acne between the ages of 7 and 12 years during 2010-2018. They then randomly selected two age and sex-matched community controls in order to evaluate the relationship of preadolescent acne and BMI.

They confirmed 643 acne cases, and calculated an annual age- and sex-adjusted incidence rate for ages 7-12 of 58 per 10,000 person-years (95% confidence interval, 53.5-62.5). The incidence rate was significantly higher in females than males (89.2 vs. 28.2 per 10,000 person-years; P < .001), and it significantly increased with age (incidence rates of 4.3, 24.4, and 144.3 per 10,000 person-years among those ages 7-8, 9-10, and 11-12 years, respectively).

The median BMI percentile among children with acne was significantly higher than those without an acne diagnosis (75.0 vs. 65.0; P <.001). They also were much more likely to be obese: 16.7% of the children with acne had a BMI in at least the 95th percentile, compared with 12.2% among controls with no acne diagnosis (P = .01). (The qualifying 581 acne cases for this analysis had BMIs recorded within 8 months of the index data, in addition to not having pre-existing acne-relevant endocrine disorders.)

“High BMI is a strong risk factor for acne development and severity in adults, but until now pediatric studies have revealed mixed information ... [and have been] largely retrospective reviews without controls,” Dr. Tollefson, professor of pediatrics and dermatology at the Mayo Clinic, Rochester, Minn., and colleagues wrote.


 

‘Valuable’ data

Leah Lalor, MD, a pediatric dermatologist not involved with the research, said she is happy to see it. “It’s really valuable,” she said in an interview. “It’s actually the first study that gives us incidence data for preadolescent acne. We all have [had our estimates], but this study quantifies it ... and it will set the stage for further studies of preadolescents in the future.”

The study also documents that “girls are more likely to present to the clinic with acne, and to do so at younger ages, which we’ve suspected and which makes physiologic sense since girls tend to go through puberty earlier than boys,” said Dr. Lalor, assistant professor of dermatology and pediatrics at the Medical College of Wisconsin and the Children’s Wisconsin Clinics, both in Milwaukee. “And most interestingly, it really reveals that BMI is higher among preadolescents with acne than those without.”

The important caveat, she emphasized, is that the study population in Olmstead County, Minn. has a relatively higher level of education, wealth, and employment than the rest of the United States.

The investigators also found that use of systemic acne medications increased with increasing BMI (odds ratio, 1.43 per 5 kg/m² increase in BMI; 95% CI, 1.07-1.92; P = .015). Approximately 5% of underweight or normal children were prescribed systemic acne medications, compared with 8.1% of overweight children, and 10.3% of those who were obese – data that suggest that most preadolescents with acne had mild to moderate disease and that more severe acne may be associated with increasing BMI percentiles, the authors wrote.

Approximately 4% of the 643 preadolescents with acne were diagnosed with an acne-relevant endocrine disorder prior to or at the time of acne diagnosis – most commonly precocious puberty. Of the 24 diagnoses of precocious puberty, 22 were in females, with a mean age at diagnosis of 7.3 years.

Puberty before age 8 in girls and 9 in boys is classified as precocious puberty. “Thus, a thorough review of systems and exam should be done in this population [with acne] to look for precocious puberty with a low threshold for systemic evaluation if indicated,” the authors wrote, also noting that 19 or the 482 female patients with acne were subsequently diagnosed with polycystic ovary syndrome.

Dr. Lalor said she “automatically” refers children with acne who are younger than 7 for an endocrine workup, but not necessarily children ages 7, 8, or 9 because “that’s considered within the normal realm of starting to get some acne.” Acne in the context of other symptoms such as body odor, hair, or thelarche may prompt referral in these ages, however, she said.
 

Future research

Obesity may influence preadolescent acne development through its effect on puberty, as overweight and obese girls achieve puberty earlier than those with normal BMI. And “insulin resistance, which may be related to obesity, has been implicated with inducing or worsening acne potentially related to shifts in IGF-1 [insulin-like growth factor 1] signaling and hyperandrogenemia,” Dr. Tollefson and colleagues wrote. Nutrition is also a possible confounder in the study.

“Patients and families have long felt that certain foods or practices contribute to acne, though this has been difficult to prove,” Dr. Lalor said. “We know that excess skim milk seems to contribute ... and there’s a correlation between high glycemic load diets [and acne].”

Assessing dietary habits in conjunction with BMI, and acne incidence and severity, would be valuable. So would research to determine “if decreasing the BMI percentile [in children with acne] would improve or prevent acne, without doing any acne treatments,” she said.

The study was supported by the National Institute on Aging and the Rochester Epidemiology Project. The authors reported no conflicts of interest. Dr. Lalor also reported no conflicts of interest.

The incidence of acne in preadolescents was higher in girls than in boys, and was associated with higher body mass index (BMI) percentiles, in a large population-based retrospective study that used age- and sex-matched controls.

The investigators also identified “a potential association” with precocious puberty that they said “should be considered, especially among those presenting [with acne] under 8 or 9 years old.” The study was published in Pediatric Dermatology .

Senior author Megha M. Tollefson, MD, and coauthors used resources of the Rochester Epidemiology Project to identify all residents of Olmstead County, Minn., who were diagnosed with acne between the ages of 7 and 12 years during 2010-2018. They then randomly selected two age and sex-matched community controls in order to evaluate the relationship of preadolescent acne and BMI.

They confirmed 643 acne cases, and calculated an annual age- and sex-adjusted incidence rate for ages 7-12 of 58 per 10,000 person-years (95% confidence interval, 53.5-62.5). The incidence rate was significantly higher in females than males (89.2 vs. 28.2 per 10,000 person-years; P < .001), and it significantly increased with age (incidence rates of 4.3, 24.4, and 144.3 per 10,000 person-years among those ages 7-8, 9-10, and 11-12 years, respectively).

The median BMI percentile among children with acne was significantly higher than those without an acne diagnosis (75.0 vs. 65.0; P <.001). They also were much more likely to be obese: 16.7% of the children with acne had a BMI in at least the 95th percentile, compared with 12.2% among controls with no acne diagnosis (P = .01). (The qualifying 581 acne cases for this analysis had BMIs recorded within 8 months of the index data, in addition to not having pre-existing acne-relevant endocrine disorders.)

“High BMI is a strong risk factor for acne development and severity in adults, but until now pediatric studies have revealed mixed information ... [and have been] largely retrospective reviews without controls,” Dr. Tollefson, professor of pediatrics and dermatology at the Mayo Clinic, Rochester, Minn., and colleagues wrote.


 

‘Valuable’ data

Leah Lalor, MD, a pediatric dermatologist not involved with the research, said she is happy to see it. “It’s really valuable,” she said in an interview. “It’s actually the first study that gives us incidence data for preadolescent acne. We all have [had our estimates], but this study quantifies it ... and it will set the stage for further studies of preadolescents in the future.”

The study also documents that “girls are more likely to present to the clinic with acne, and to do so at younger ages, which we’ve suspected and which makes physiologic sense since girls tend to go through puberty earlier than boys,” said Dr. Lalor, assistant professor of dermatology and pediatrics at the Medical College of Wisconsin and the Children’s Wisconsin Clinics, both in Milwaukee. “And most interestingly, it really reveals that BMI is higher among preadolescents with acne than those without.”

The important caveat, she emphasized, is that the study population in Olmstead County, Minn. has a relatively higher level of education, wealth, and employment than the rest of the United States.

The investigators also found that use of systemic acne medications increased with increasing BMI (odds ratio, 1.43 per 5 kg/m² increase in BMI; 95% CI, 1.07-1.92; P = .015). Approximately 5% of underweight or normal children were prescribed systemic acne medications, compared with 8.1% of overweight children, and 10.3% of those who were obese – data that suggest that most preadolescents with acne had mild to moderate disease and that more severe acne may be associated with increasing BMI percentiles, the authors wrote.

Approximately 4% of the 643 preadolescents with acne were diagnosed with an acne-relevant endocrine disorder prior to or at the time of acne diagnosis – most commonly precocious puberty. Of the 24 diagnoses of precocious puberty, 22 were in females, with a mean age at diagnosis of 7.3 years.

Puberty before age 8 in girls and 9 in boys is classified as precocious puberty. “Thus, a thorough review of systems and exam should be done in this population [with acne] to look for precocious puberty with a low threshold for systemic evaluation if indicated,” the authors wrote, also noting that 19 or the 482 female patients with acne were subsequently diagnosed with polycystic ovary syndrome.

Dr. Lalor said she “automatically” refers children with acne who are younger than 7 for an endocrine workup, but not necessarily children ages 7, 8, or 9 because “that’s considered within the normal realm of starting to get some acne.” Acne in the context of other symptoms such as body odor, hair, or thelarche may prompt referral in these ages, however, she said.
 

Future research

Obesity may influence preadolescent acne development through its effect on puberty, as overweight and obese girls achieve puberty earlier than those with normal BMI. And “insulin resistance, which may be related to obesity, has been implicated with inducing or worsening acne potentially related to shifts in IGF-1 [insulin-like growth factor 1] signaling and hyperandrogenemia,” Dr. Tollefson and colleagues wrote. Nutrition is also a possible confounder in the study.

“Patients and families have long felt that certain foods or practices contribute to acne, though this has been difficult to prove,” Dr. Lalor said. “We know that excess skim milk seems to contribute ... and there’s a correlation between high glycemic load diets [and acne].”

Assessing dietary habits in conjunction with BMI, and acne incidence and severity, would be valuable. So would research to determine “if decreasing the BMI percentile [in children with acne] would improve or prevent acne, without doing any acne treatments,” she said.

The study was supported by the National Institute on Aging and the Rochester Epidemiology Project. The authors reported no conflicts of interest. Dr. Lalor also reported no conflicts of interest.

The incidence of acne in preadolescents was higher in girls than in boys, and was associated with higher body mass index (BMI) percentiles, in a large population-based retrospective study that used age- and sex-matched controls.

The investigators also identified “a potential association” with precocious puberty that they said “should be considered, especially among those presenting [with acne] under 8 or 9 years old.” The study was published in Pediatric Dermatology .

Senior author Megha M. Tollefson, MD, and coauthors used resources of the Rochester Epidemiology Project to identify all residents of Olmstead County, Minn., who were diagnosed with acne between the ages of 7 and 12 years during 2010-2018. They then randomly selected two age and sex-matched community controls in order to evaluate the relationship of preadolescent acne and BMI.

They confirmed 643 acne cases, and calculated an annual age- and sex-adjusted incidence rate for ages 7-12 of 58 per 10,000 person-years (95% confidence interval, 53.5-62.5). The incidence rate was significantly higher in females than males (89.2 vs. 28.2 per 10,000 person-years; P < .001), and it significantly increased with age (incidence rates of 4.3, 24.4, and 144.3 per 10,000 person-years among those ages 7-8, 9-10, and 11-12 years, respectively).

The median BMI percentile among children with acne was significantly higher than those without an acne diagnosis (75.0 vs. 65.0; P <.001). They also were much more likely to be obese: 16.7% of the children with acne had a BMI in at least the 95th percentile, compared with 12.2% among controls with no acne diagnosis (P = .01). (The qualifying 581 acne cases for this analysis had BMIs recorded within 8 months of the index data, in addition to not having pre-existing acne-relevant endocrine disorders.)

“High BMI is a strong risk factor for acne development and severity in adults, but until now pediatric studies have revealed mixed information ... [and have been] largely retrospective reviews without controls,” Dr. Tollefson, professor of pediatrics and dermatology at the Mayo Clinic, Rochester, Minn., and colleagues wrote.


 

‘Valuable’ data

Leah Lalor, MD, a pediatric dermatologist not involved with the research, said she is happy to see it. “It’s really valuable,” she said in an interview. “It’s actually the first study that gives us incidence data for preadolescent acne. We all have [had our estimates], but this study quantifies it ... and it will set the stage for further studies of preadolescents in the future.”

The study also documents that “girls are more likely to present to the clinic with acne, and to do so at younger ages, which we’ve suspected and which makes physiologic sense since girls tend to go through puberty earlier than boys,” said Dr. Lalor, assistant professor of dermatology and pediatrics at the Medical College of Wisconsin and the Children’s Wisconsin Clinics, both in Milwaukee. “And most interestingly, it really reveals that BMI is higher among preadolescents with acne than those without.”

The important caveat, she emphasized, is that the study population in Olmstead County, Minn. has a relatively higher level of education, wealth, and employment than the rest of the United States.

The investigators also found that use of systemic acne medications increased with increasing BMI (odds ratio, 1.43 per 5 kg/m² increase in BMI; 95% CI, 1.07-1.92; P = .015). Approximately 5% of underweight or normal children were prescribed systemic acne medications, compared with 8.1% of overweight children, and 10.3% of those who were obese – data that suggest that most preadolescents with acne had mild to moderate disease and that more severe acne may be associated with increasing BMI percentiles, the authors wrote.

Approximately 4% of the 643 preadolescents with acne were diagnosed with an acne-relevant endocrine disorder prior to or at the time of acne diagnosis – most commonly precocious puberty. Of the 24 diagnoses of precocious puberty, 22 were in females, with a mean age at diagnosis of 7.3 years.

Puberty before age 8 in girls and 9 in boys is classified as precocious puberty. “Thus, a thorough review of systems and exam should be done in this population [with acne] to look for precocious puberty with a low threshold for systemic evaluation if indicated,” the authors wrote, also noting that 19 or the 482 female patients with acne were subsequently diagnosed with polycystic ovary syndrome.

Dr. Lalor said she “automatically” refers children with acne who are younger than 7 for an endocrine workup, but not necessarily children ages 7, 8, or 9 because “that’s considered within the normal realm of starting to get some acne.” Acne in the context of other symptoms such as body odor, hair, or thelarche may prompt referral in these ages, however, she said.
 

Future research

Obesity may influence preadolescent acne development through its effect on puberty, as overweight and obese girls achieve puberty earlier than those with normal BMI. And “insulin resistance, which may be related to obesity, has been implicated with inducing or worsening acne potentially related to shifts in IGF-1 [insulin-like growth factor 1] signaling and hyperandrogenemia,” Dr. Tollefson and colleagues wrote. Nutrition is also a possible confounder in the study.

“Patients and families have long felt that certain foods or practices contribute to acne, though this has been difficult to prove,” Dr. Lalor said. “We know that excess skim milk seems to contribute ... and there’s a correlation between high glycemic load diets [and acne].”

Assessing dietary habits in conjunction with BMI, and acne incidence and severity, would be valuable. So would research to determine “if decreasing the BMI percentile [in children with acne] would improve or prevent acne, without doing any acne treatments,” she said.

The study was supported by the National Institute on Aging and the Rochester Epidemiology Project. The authors reported no conflicts of interest. Dr. Lalor also reported no conflicts of interest.

In adults with prediabetes, vitamin D helped decrease the risk that these individuals would develop diabetes, suggests a meta-analysis of three trials.

Results of the analysis, led by Anastassios G. Pittas, MD, MS, with the division of endocrinology, diabetes, and metabolism at Tufts Medical Center, in Boston, were published online in Annals of Internal Medicine (2023 Feb 7. doi: 10.7326/M22-3018).

All three eligible trials included in the analysis were randomized, double blinded, and placebo controlled. The three eligible trials tested three oral formulations of Vitamin D: cholecalciferol, 20,000 IU (500 mcg) weekly; cholecalciferol, 4,000 IU (100 mcg) daily; or eldecalcitol, 0.75 mcg daily, against placebos.

The authors of the new paper found that vitamin D reduced the risk for diabetes in people with prediabetes by a statistically significant 15% in adjusted analyses. The 3-year absolute risk reduction was 3.3%.

They found no difference in the rate ratios for adverse events (kidney stones, 1.17, 95% confidence interval, 0.69-1.99; hypercalcemia, 2.34; 95% CI, 0.83-6.66]; hypercalciuria, 1.65; 95% CI, 0.83-3.28]; death, 0.85; 95% CI, 0.31-2.36]) when study participants got vitamin D instead of placebo.

Differences from previous analyses

The relationship between vitamin D levels and risk for type 2 diabetes has been studied in previous trials and results have been mixed.

The authors note that two previous meta-analyses included trials “that had relatively short durations for assessment of diabetes risk (for example, ≤ 1 year), had high risk of bias (for example, open-label trials), or were not specifically designed and conducted for primary prevention of type 2 diabetes, potentially undermining the validity of the results.”

Each of the trials in this meta-analysis had a low risk of bias as determined by the Cochrane risk-of-bias tool, Dr. Pittas and colleagues said.

“The present study does not reach an opposite conclusion from the D2d study,” said Dr. Pittas, who coauthored that paper as well. “Rather, it confirms the results of the D2d study. In D2d and two other similar vitamin D and diabetes prevention trials (one in Norway and one in Japan), vitamin D reduced the rate of progression to diabetes in adults with prediabetes, but the observed differences were not statistically significant because the reported relative risk reductions (10%-13%) were smaller than each trial was powered to detect (25%-36%).”

“Individual participant data meta-analyses increase the statistical power to detect an effect. After combining data, we found that vitamin D reduced the risk of progression from prediabetes to diabetes by 15% and this result was statistically significant. So, the conclusion of the meta-analysis is essentially the same conclusion as in D2d and the other two trials. The difference is that the result is now statistically significant,” Dr. Pittas added.

Small reduction but large population

The authors acknowledged that the absolute risk reduction number is small, especially when compared with the risk reduction seen with intensive lifestyle changes (58%) and metformin (31%), as reported in an article published in the New England of Journal of Medicine (2002 Feb 7;346:393-403). But “extrapolating to the more than 374 million adults worldwide who have prediabetes suggests that inexpensive vitamin D supplementation could delay the development of diabetes in more than 10 million people,” they said.

As for how high vitamin D levels need to be, the authors write that their research indicates that the optimal level of vitamin D in the blood needed to reduce diabetes risk may be higher than an Institute of Medicine committee recommendation in 2011.

“The blood 25-hydroxy vitamin D level needed to optimally reduce diabetes risk may be near and possibly above the range of 125-150 nmol/L (50-60 ng/mL) that the 2011 Institute of Medicine Committee to Review Dietary Reference Intakes for Calcium and Vitamin D provided as the range corresponding to the tolerable upper intake level (UL) of 4,000 IU/d for vitamin D,” the authors of the new paper said.

Editorialists urge caution

In an accompanying editorial also published in the Annals of Internal Medicine, Malachi J. McKenna, MD, with the department of clinical chemistry, at St. Vincent’s University Hospital, and Mary A.T. Flynn, PhD, RD, with the Food Safety Authority of Ireland in Dublin, urge caution regarding vitamin D dosing.

They write that there are important distinctions between vitamin D supplements and vitamin D therapy, and the potential harms of high-dose vitamin D are still unclear.

“Vitamin D supplementation of 10 to 20 mcg (400 to 800 IU) daily can be applied safely at the population level to prevent skeletal and possibly nonskeletal disease. Very-high-dose vitamin D therapy might prevent type 2 diabetes in some patients but may also cause harm,” they note.

Dr. Pittas said in an interview that there have been some studies with high-dose vitamin D (up to 500,000 IU a year in one study) that reported an increased fall risk in older adults who had high fall risk. “However, these findings are not generalizable to other populations that are younger and at low or average fall risk, such as the prediabetes population to which the results of this meta-analysis apply,” he noted.

“The benefit-to-risk ratio for vitamin D depends on the target population and medical condition,” Dr. Pittas said. “The editorial refers to the NAM (National Academy of Medicine) vitamin D guidelines for the general, healthy population to promote bone health. The guidelines should not be extrapolated to specific populations, for example [patients with] prediabetes,” where the vitamin D benefit-to-risk ratio would be different from that in the general population.

Dr. Pittas and colleagues caution that the people studied in this meta-analysis were at high risk for type 2 diabetes, so these results do not apply to the general healthy population. The results also should not be extrapolated to people at average risk for any type of diabetes, they add.

Several physicians either declined to comment or did not respond to requests for comment on this research.

Dr. Pittas reports the National Institutes of Health and the American Diabetes Association made payments to his institution to conduct Vitamin D-related research. He is an unpaid cochair of the Endocrine Society’s Evaluation, Treatment and Prevention of Vitamin D Deficiency Clinical Practice Guideline team.

Coauthor Dr. Jorde reports grants from Novo Nordisk Foundation, North Norwegian Regional Health Authorities, and the Research Council of Norway.

Dr. Dawson-Hughes reports she is on the DSMB for AgNovos Healthcare. AgNovos is developing a bone implant to reduce hip fracture risk and she gets a stipend from the company. She reports Helsinn Therapeutics provided anamorelin and matching placebo for an NIH-funded clinical trial.

Dr. Trikalinos was supported by the D2d study. He is a technical methodological consultant to Latham and Watkins, who is retained by Pacira Pharmaceuticals.

Dr. Angellotti has been employed by Takeda and owns stock in the company.

The editorialists report no relevant financial relationships.

In adults with prediabetes, vitamin D helped decrease the risk that these individuals would develop diabetes, suggests a meta-analysis of three trials.

Results of the analysis, led by Anastassios G. Pittas, MD, MS, with the division of endocrinology, diabetes, and metabolism at Tufts Medical Center, in Boston, were published online in Annals of Internal Medicine (2023 Feb 7. doi: 10.7326/M22-3018).

All three eligible trials included in the analysis were randomized, double blinded, and placebo controlled. The three eligible trials tested three oral formulations of Vitamin D: cholecalciferol, 20,000 IU (500 mcg) weekly; cholecalciferol, 4,000 IU (100 mcg) daily; or eldecalcitol, 0.75 mcg daily, against placebos.

The authors of the new paper found that vitamin D reduced the risk for diabetes in people with prediabetes by a statistically significant 15% in adjusted analyses. The 3-year absolute risk reduction was 3.3%.

They found no difference in the rate ratios for adverse events (kidney stones, 1.17, 95% confidence interval, 0.69-1.99; hypercalcemia, 2.34; 95% CI, 0.83-6.66]; hypercalciuria, 1.65; 95% CI, 0.83-3.28]; death, 0.85; 95% CI, 0.31-2.36]) when study participants got vitamin D instead of placebo.

Differences from previous analyses

The relationship between vitamin D levels and risk for type 2 diabetes has been studied in previous trials and results have been mixed.

The authors note that two previous meta-analyses included trials “that had relatively short durations for assessment of diabetes risk (for example, ≤ 1 year), had high risk of bias (for example, open-label trials), or were not specifically designed and conducted for primary prevention of type 2 diabetes, potentially undermining the validity of the results.”

Each of the trials in this meta-analysis had a low risk of bias as determined by the Cochrane risk-of-bias tool, Dr. Pittas and colleagues said.

“The present study does not reach an opposite conclusion from the D2d study,” said Dr. Pittas, who coauthored that paper as well. “Rather, it confirms the results of the D2d study. In D2d and two other similar vitamin D and diabetes prevention trials (one in Norway and one in Japan), vitamin D reduced the rate of progression to diabetes in adults with prediabetes, but the observed differences were not statistically significant because the reported relative risk reductions (10%-13%) were smaller than each trial was powered to detect (25%-36%).”

“Individual participant data meta-analyses increase the statistical power to detect an effect. After combining data, we found that vitamin D reduced the risk of progression from prediabetes to diabetes by 15% and this result was statistically significant. So, the conclusion of the meta-analysis is essentially the same conclusion as in D2d and the other two trials. The difference is that the result is now statistically significant,” Dr. Pittas added.

Small reduction but large population

The authors acknowledged that the absolute risk reduction number is small, especially when compared with the risk reduction seen with intensive lifestyle changes (58%) and metformin (31%), as reported in an article published in the New England of Journal of Medicine (2002 Feb 7;346:393-403). But “extrapolating to the more than 374 million adults worldwide who have prediabetes suggests that inexpensive vitamin D supplementation could delay the development of diabetes in more than 10 million people,” they said.

As for how high vitamin D levels need to be, the authors write that their research indicates that the optimal level of vitamin D in the blood needed to reduce diabetes risk may be higher than an Institute of Medicine committee recommendation in 2011.

“The blood 25-hydroxy vitamin D level needed to optimally reduce diabetes risk may be near and possibly above the range of 125-150 nmol/L (50-60 ng/mL) that the 2011 Institute of Medicine Committee to Review Dietary Reference Intakes for Calcium and Vitamin D provided as the range corresponding to the tolerable upper intake level (UL) of 4,000 IU/d for vitamin D,” the authors of the new paper said.

Editorialists urge caution

In an accompanying editorial also published in the Annals of Internal Medicine, Malachi J. McKenna, MD, with the department of clinical chemistry, at St. Vincent’s University Hospital, and Mary A.T. Flynn, PhD, RD, with the Food Safety Authority of Ireland in Dublin, urge caution regarding vitamin D dosing.

They write that there are important distinctions between vitamin D supplements and vitamin D therapy, and the potential harms of high-dose vitamin D are still unclear.

“Vitamin D supplementation of 10 to 20 mcg (400 to 800 IU) daily can be applied safely at the population level to prevent skeletal and possibly nonskeletal disease. Very-high-dose vitamin D therapy might prevent type 2 diabetes in some patients but may also cause harm,” they note.

Dr. Pittas said in an interview that there have been some studies with high-dose vitamin D (up to 500,000 IU a year in one study) that reported an increased fall risk in older adults who had high fall risk. “However, these findings are not generalizable to other populations that are younger and at low or average fall risk, such as the prediabetes population to which the results of this meta-analysis apply,” he noted.

“The benefit-to-risk ratio for vitamin D depends on the target population and medical condition,” Dr. Pittas said. “The editorial refers to the NAM (National Academy of Medicine) vitamin D guidelines for the general, healthy population to promote bone health. The guidelines should not be extrapolated to specific populations, for example [patients with] prediabetes,” where the vitamin D benefit-to-risk ratio would be different from that in the general population.

Dr. Pittas and colleagues caution that the people studied in this meta-analysis were at high risk for type 2 diabetes, so these results do not apply to the general healthy population. The results also should not be extrapolated to people at average risk for any type of diabetes, they add.

Several physicians either declined to comment or did not respond to requests for comment on this research.

Dr. Pittas reports the National Institutes of Health and the American Diabetes Association made payments to his institution to conduct Vitamin D-related research. He is an unpaid cochair of the Endocrine Society’s Evaluation, Treatment and Prevention of Vitamin D Deficiency Clinical Practice Guideline team.

Coauthor Dr. Jorde reports grants from Novo Nordisk Foundation, North Norwegian Regional Health Authorities, and the Research Council of Norway.

Dr. Dawson-Hughes reports she is on the DSMB for AgNovos Healthcare. AgNovos is developing a bone implant to reduce hip fracture risk and she gets a stipend from the company. She reports Helsinn Therapeutics provided anamorelin and matching placebo for an NIH-funded clinical trial.

Dr. Trikalinos was supported by the D2d study. He is a technical methodological consultant to Latham and Watkins, who is retained by Pacira Pharmaceuticals.

Dr. Angellotti has been employed by Takeda and owns stock in the company.

The editorialists report no relevant financial relationships.

In adults with prediabetes, vitamin D helped decrease the risk that these individuals would develop diabetes, suggests a meta-analysis of three trials.

Results of the analysis, led by Anastassios G. Pittas, MD, MS, with the division of endocrinology, diabetes, and metabolism at Tufts Medical Center, in Boston, were published online in Annals of Internal Medicine (2023 Feb 7. doi: 10.7326/M22-3018).

All three eligible trials included in the analysis were randomized, double blinded, and placebo controlled. The three eligible trials tested three oral formulations of Vitamin D: cholecalciferol, 20,000 IU (500 mcg) weekly; cholecalciferol, 4,000 IU (100 mcg) daily; or eldecalcitol, 0.75 mcg daily, against placebos.

The authors of the new paper found that vitamin D reduced the risk for diabetes in people with prediabetes by a statistically significant 15% in adjusted analyses. The 3-year absolute risk reduction was 3.3%.

They found no difference in the rate ratios for adverse events (kidney stones, 1.17, 95% confidence interval, 0.69-1.99; hypercalcemia, 2.34; 95% CI, 0.83-6.66]; hypercalciuria, 1.65; 95% CI, 0.83-3.28]; death, 0.85; 95% CI, 0.31-2.36]) when study participants got vitamin D instead of placebo.

Differences from previous analyses

The relationship between vitamin D levels and risk for type 2 diabetes has been studied in previous trials and results have been mixed.

The authors note that two previous meta-analyses included trials “that had relatively short durations for assessment of diabetes risk (for example, ≤ 1 year), had high risk of bias (for example, open-label trials), or were not specifically designed and conducted for primary prevention of type 2 diabetes, potentially undermining the validity of the results.”

Each of the trials in this meta-analysis had a low risk of bias as determined by the Cochrane risk-of-bias tool, Dr. Pittas and colleagues said.

“The present study does not reach an opposite conclusion from the D2d study,” said Dr. Pittas, who coauthored that paper as well. “Rather, it confirms the results of the D2d study. In D2d and two other similar vitamin D and diabetes prevention trials (one in Norway and one in Japan), vitamin D reduced the rate of progression to diabetes in adults with prediabetes, but the observed differences were not statistically significant because the reported relative risk reductions (10%-13%) were smaller than each trial was powered to detect (25%-36%).”

“Individual participant data meta-analyses increase the statistical power to detect an effect. After combining data, we found that vitamin D reduced the risk of progression from prediabetes to diabetes by 15% and this result was statistically significant. So, the conclusion of the meta-analysis is essentially the same conclusion as in D2d and the other two trials. The difference is that the result is now statistically significant,” Dr. Pittas added.

Small reduction but large population

The authors acknowledged that the absolute risk reduction number is small, especially when compared with the risk reduction seen with intensive lifestyle changes (58%) and metformin (31%), as reported in an article published in the New England of Journal of Medicine (2002 Feb 7;346:393-403). But “extrapolating to the more than 374 million adults worldwide who have prediabetes suggests that inexpensive vitamin D supplementation could delay the development of diabetes in more than 10 million people,” they said.

As for how high vitamin D levels need to be, the authors write that their research indicates that the optimal level of vitamin D in the blood needed to reduce diabetes risk may be higher than an Institute of Medicine committee recommendation in 2011.

“The blood 25-hydroxy vitamin D level needed to optimally reduce diabetes risk may be near and possibly above the range of 125-150 nmol/L (50-60 ng/mL) that the 2011 Institute of Medicine Committee to Review Dietary Reference Intakes for Calcium and Vitamin D provided as the range corresponding to the tolerable upper intake level (UL) of 4,000 IU/d for vitamin D,” the authors of the new paper said.

Editorialists urge caution

In an accompanying editorial also published in the Annals of Internal Medicine, Malachi J. McKenna, MD, with the department of clinical chemistry, at St. Vincent’s University Hospital, and Mary A.T. Flynn, PhD, RD, with the Food Safety Authority of Ireland in Dublin, urge caution regarding vitamin D dosing.

They write that there are important distinctions between vitamin D supplements and vitamin D therapy, and the potential harms of high-dose vitamin D are still unclear.

“Vitamin D supplementation of 10 to 20 mcg (400 to 800 IU) daily can be applied safely at the population level to prevent skeletal and possibly nonskeletal disease. Very-high-dose vitamin D therapy might prevent type 2 diabetes in some patients but may also cause harm,” they note.

Dr. Pittas said in an interview that there have been some studies with high-dose vitamin D (up to 500,000 IU a year in one study) that reported an increased fall risk in older adults who had high fall risk. “However, these findings are not generalizable to other populations that are younger and at low or average fall risk, such as the prediabetes population to which the results of this meta-analysis apply,” he noted.

“The benefit-to-risk ratio for vitamin D depends on the target population and medical condition,” Dr. Pittas said. “The editorial refers to the NAM (National Academy of Medicine) vitamin D guidelines for the general, healthy population to promote bone health. The guidelines should not be extrapolated to specific populations, for example [patients with] prediabetes,” where the vitamin D benefit-to-risk ratio would be different from that in the general population.

Dr. Pittas and colleagues caution that the people studied in this meta-analysis were at high risk for type 2 diabetes, so these results do not apply to the general healthy population. The results also should not be extrapolated to people at average risk for any type of diabetes, they add.

Several physicians either declined to comment or did not respond to requests for comment on this research.

Dr. Pittas reports the National Institutes of Health and the American Diabetes Association made payments to his institution to conduct Vitamin D-related research. He is an unpaid cochair of the Endocrine Society’s Evaluation, Treatment and Prevention of Vitamin D Deficiency Clinical Practice Guideline team.

Coauthor Dr. Jorde reports grants from Novo Nordisk Foundation, North Norwegian Regional Health Authorities, and the Research Council of Norway.

Dr. Dawson-Hughes reports she is on the DSMB for AgNovos Healthcare. AgNovos is developing a bone implant to reduce hip fracture risk and she gets a stipend from the company. She reports Helsinn Therapeutics provided anamorelin and matching placebo for an NIH-funded clinical trial.

Dr. Trikalinos was supported by the D2d study. He is a technical methodological consultant to Latham and Watkins, who is retained by Pacira Pharmaceuticals.

Dr. Angellotti has been employed by Takeda and owns stock in the company.

The editorialists report no relevant financial relationships.

Almonds might affect appetite during a weight loss diet and may assist with weight management in the long term, according to researchers at the University of South Australia’s Alliance for Research in Exercise, Nutrition and Activity.

What to know

People who consume as few as 30-50 g of almonds, as opposed to an energy-equivalent carbohydrate snack, can lower their energy intake significantly at the subsequent meal.

People who eat almonds can experience changes in their appetite-regulating hormones that may contribute to less food intake.

Almond consumption can lower C-peptide responses, which can improve insulin sensitivity and reduce the risk of developing diabetes and cardiovascular disease.

Eating almonds can raise levels of glucose-dependent insulinotropic polypeptide glucagon, which can send satiety signals to the brain, and pancreatic polypeptide, which slows digestion, which may reduce food intake, supporting weight loss.

Almonds are high in protein, fiber, and unsaturated fatty acids, which may contribute to their satiating properties and help explain why fewer calories are consumed.

A version of this article originally appeared on Medscape.com.

This is a summary of the article “Acute Feeding With Almonds Compared to a Carbohydrate-Based Snack Improves Appetite-Regulating Hormones With No Effect on Self-reported Appetite Sensations: A Randomised Controlled Trial,” published in the European Journal of Nutrition on Oct. 11, 2022. The full article can be found on link.springer.com.

Almonds might affect appetite during a weight loss diet and may assist with weight management in the long term, according to researchers at the University of South Australia’s Alliance for Research in Exercise, Nutrition and Activity.

What to know

People who consume as few as 30-50 g of almonds, as opposed to an energy-equivalent carbohydrate snack, can lower their energy intake significantly at the subsequent meal.

People who eat almonds can experience changes in their appetite-regulating hormones that may contribute to less food intake.

Almond consumption can lower C-peptide responses, which can improve insulin sensitivity and reduce the risk of developing diabetes and cardiovascular disease.

Eating almonds can raise levels of glucose-dependent insulinotropic polypeptide glucagon, which can send satiety signals to the brain, and pancreatic polypeptide, which slows digestion, which may reduce food intake, supporting weight loss.

Almonds are high in protein, fiber, and unsaturated fatty acids, which may contribute to their satiating properties and help explain why fewer calories are consumed.

A version of this article originally appeared on Medscape.com.

This is a summary of the article “Acute Feeding With Almonds Compared to a Carbohydrate-Based Snack Improves Appetite-Regulating Hormones With No Effect on Self-reported Appetite Sensations: A Randomised Controlled Trial,” published in the European Journal of Nutrition on Oct. 11, 2022. The full article can be found on link.springer.com.

Almonds might affect appetite during a weight loss diet and may assist with weight management in the long term, according to researchers at the University of South Australia’s Alliance for Research in Exercise, Nutrition and Activity.

What to know

People who consume as few as 30-50 g of almonds, as opposed to an energy-equivalent carbohydrate snack, can lower their energy intake significantly at the subsequent meal.

People who eat almonds can experience changes in their appetite-regulating hormones that may contribute to less food intake.

Almond consumption can lower C-peptide responses, which can improve insulin sensitivity and reduce the risk of developing diabetes and cardiovascular disease.

Eating almonds can raise levels of glucose-dependent insulinotropic polypeptide glucagon, which can send satiety signals to the brain, and pancreatic polypeptide, which slows digestion, which may reduce food intake, supporting weight loss.

Almonds are high in protein, fiber, and unsaturated fatty acids, which may contribute to their satiating properties and help explain why fewer calories are consumed.

A version of this article originally appeared on Medscape.com.

This is a summary of the article “Acute Feeding With Almonds Compared to a Carbohydrate-Based Snack Improves Appetite-Regulating Hormones With No Effect on Self-reported Appetite Sensations: A Randomised Controlled Trial,” published in the European Journal of Nutrition on Oct. 11, 2022. The full article can be found on link.springer.com.

“Congratulations on the baby. You look great!” I enthusiastically proclaimed to my classmate. It was the start of the fall semester of my sophomore year of college.

At my small women’s college, the previous semester’s gossip had been about our classmate, S*. She had gone from being very thin to noticeably gaining a lot of weight in a few months. The rumors were that S was pregnant and gave birth over summer break. As a busy biology premed major, this was my first time hearing the news. So when I saw her standing in the hallway, back to her previous weight, I was excited for her.

In true extravert fashion, I commented on the baby and her new size. But no sooner had the words left my mouth than I regretted them.

The hall grew awkwardly silent as S’s face flushed and she asked, “Excuse me?!” Instantly I knew that the rumors weren’t true.

Thankfully, at that moment, the classroom opened and we walked in. Whew! After class, S asked if we could talk. She explained that she had a thyroid tumor and struggled to adjust to the treatments, which caused her weight fluctuations. She had never been pregnant.

My awkward statement had been the first time anyone on campus had directly mentioned her weight, though she suspected that people were talking about her. We became fast friends after this rocky beginning. Although we lost touch after college, S taught me an invaluable lesson about making assumptions about people’s weight: Ask before you assume.

Now, years later, as an internist and obesity specialist, this lesson continues to be reinforced daily.

In daily life, comments about weight can be perceived as rude. In the clinical setting, however, assumptions about weight are a form of weight bias. Weight bias can lead to weight stigma and even be dangerous to health care.

Let’s discuss the insidious influence of weight bias in health care through two commonly used phrases and then look at a few solutions to address weight bias in health care individually and systematically.
 

Common weight bias assumptions

“Great job, you lost weight!” In checking your patient’s vital signs, you notice that this patient with obesity has a significant weight change. You congratulate them upon entering the room. Unfortunately, their weight loss was a result of minimal eating after losing a loved one. This isn’t healthy weight loss. One of the adverse effects of weight bias is that it infers that weight loss is always a good thing, especially in people with larger bodies. This is a dangerous presumption. Let’s remember that the body favors fat storage, hence why “unintentional weight loss” is a recognized medical condition prompting evaluation. We have to be careful not to celebrate weight loss “at all costs,” such as fad diets that haven’t been shown to improve health outcomes.

Furthermore, patients who lose weight quickly (more than 4-8 lb/month) require closer follow-up and evaluation for secondary causes of weight loss. Patients may lose weight at a faster rate with the new antiobesity medications, but clinicians still should ensure that age-appropriate health maintenance screening is done and be vigilant for secondary causes of weight changes.

“Have you tried losing weight yet?” Three times. That’s how many times Chanté Burkett went to her doctor about her painful, enlarging firm stomach. She was advised to continue working on weight loss, which she did diligently. But Ms. Burkett’s abdomen kept growing and her concerns were dismissed. A visit to urgent care and a CT scan revealed that Ms. Burkett’s excess abdominal “fat” was a 13-lb mucinous cystadenoma. Sadly, cases like hers aren’t rare, isolated events. Weight bias can cause anchoring on one diagnosis, preventing consideration of other diagnostic possibilities. Even worse, anchoring will lead to the wrong intervention, such as prescribing weight loss for presumed increased adiposity instead of ordering the appropriate testing.

It’s also essential to recognize that, even if someone does have the disease of obesity, weight loss isn’t the solution to every medical concern. Even if weight loss is helpful, other, more pressing treatments may still be necessary. Telling a person with obesity who has an acute complaint to “just lose weight” is comparable to telling a patient with coronary artery disease who presents with an 80% vessel occlusion and chest pain to follow a low-fat diet. In both cases, you need to address the acute concern appropriately, then focus on the chronic treatment.
 

Ways to reduce clinical weight bias

How do you reduce clinical weight bias?

Ask, don’t assume. The information from the scale is simply data. Instead of judging it positively or negatively and creating a story, ask the patient. An unbiased way to approach the conversation is to say, “Great to see you. You seem [positive adjective of choice]. How have you been?” Wait until the vitals section to objectively discuss weight unless the patient offers the discussion earlier or their chief complaint lists a weight-related concern.

Order necessary tests to evaluate weight. Weight is the vital sign that people wear externally, so we feel that we can readily interpret it without any further assessment. However, resist the urge to interpret scale data without context. Keeping an open mind helps prevent anchoring and missing critical clues in the clinical history.

Address weight changes effectively. Sometimes there is an indication to prescribe weight loss as part of the treatment plan. However, remember that weight loss isn’t simply “calories in vs. calories out.” Obesity is a complex medical disease that requires a multimodal treatment approach. As clinicians, we have access to the most powerful tools for weight loss. Unfortunately, weight bias contributes to limited prescribing of metabolic medications (“antiobesity medications” or AOMs). In addition, systemic weight bias prevents insurance coverage of AOMs. The Treat and Reduce Obesity Act has been introduced into Congress to help improve life-transforming access to AOMs.

Acknowledge your bias. Our experiences make us all susceptible to bias. The Harvard Weight Implicit Association Test is free and a helpful way to assess your level of weight bias. I take it annually to ensure that I remain objective in my practice.

Addressing weight bias needs to extend beyond the individual level.

Systemically, health care needs to address the following:

Language. Use people-centered language. For example, “People aren’t obese. They have obesity.”

Accessibility. Health care settings must be comfortable and accessible for people of all sizes. Furthermore, improvements to access the services that comprehensive obesity care requires, such as AOMs, bariatric procedures and bariatric surgery, mental health care, nutrition, fitness specialists, health coaches, and more, are needed.

Education. Medical students and trainees have to learn the newest obesity science and know how to treat obesity effectively. Acknowledge and address biased tools. Recent data have shown that some of our screening tools, such as body mass index, have inherent bias. It’s time to focus on using improved diagnostic tools and personalized treatments.

We are at a pivotal time in our scientific understanding of body weight regulation and the disease of obesity. Clinical weight bias is primarily rooted in flawed science influenced by biased cultural norms and other forms of discrimination, such as racial and gender bias. We must move past assumptions to give our patients the optimal individualized care they need. So next time you observe a weight change, instead of commenting on their weight, say, “Great to see you! How have you been?”

S*: Initial has been changed to protect privacy.

Dr. Gonsahn-Bollie is an integrative obesity specialist focused on individualized solutions for emotional and biological overeating. Connect with her at www.embraceyouweightloss.com or on Instagram @embraceyoumd. Her bestselling book, “Embrace You: Your Guide to Transforming Weight Loss Misconceptions Into Lifelong Wellness”, was Healthline.com’s Best Overall Weight Loss Book of 2022 and one of Livestrong.com’s 8 Best Weight-Loss Books to Read in 2022. She has disclosed no relevant financial relationships. A version of this article originally appeared on Medscape.com.

“Congratulations on the baby. You look great!” I enthusiastically proclaimed to my classmate. It was the start of the fall semester of my sophomore year of college.

At my small women’s college, the previous semester’s gossip had been about our classmate, S*. She had gone from being very thin to noticeably gaining a lot of weight in a few months. The rumors were that S was pregnant and gave birth over summer break. As a busy biology premed major, this was my first time hearing the news. So when I saw her standing in the hallway, back to her previous weight, I was excited for her.

In true extravert fashion, I commented on the baby and her new size. But no sooner had the words left my mouth than I regretted them.

The hall grew awkwardly silent as S’s face flushed and she asked, “Excuse me?!” Instantly I knew that the rumors weren’t true.

Thankfully, at that moment, the classroom opened and we walked in. Whew! After class, S asked if we could talk. She explained that she had a thyroid tumor and struggled to adjust to the treatments, which caused her weight fluctuations. She had never been pregnant.

My awkward statement had been the first time anyone on campus had directly mentioned her weight, though she suspected that people were talking about her. We became fast friends after this rocky beginning. Although we lost touch after college, S taught me an invaluable lesson about making assumptions about people’s weight: Ask before you assume.

Now, years later, as an internist and obesity specialist, this lesson continues to be reinforced daily.

In daily life, comments about weight can be perceived as rude. In the clinical setting, however, assumptions about weight are a form of weight bias. Weight bias can lead to weight stigma and even be dangerous to health care.

Let’s discuss the insidious influence of weight bias in health care through two commonly used phrases and then look at a few solutions to address weight bias in health care individually and systematically.
 

Common weight bias assumptions

“Great job, you lost weight!” In checking your patient’s vital signs, you notice that this patient with obesity has a significant weight change. You congratulate them upon entering the room. Unfortunately, their weight loss was a result of minimal eating after losing a loved one. This isn’t healthy weight loss. One of the adverse effects of weight bias is that it infers that weight loss is always a good thing, especially in people with larger bodies. This is a dangerous presumption. Let’s remember that the body favors fat storage, hence why “unintentional weight loss” is a recognized medical condition prompting evaluation. We have to be careful not to celebrate weight loss “at all costs,” such as fad diets that haven’t been shown to improve health outcomes.

Furthermore, patients who lose weight quickly (more than 4-8 lb/month) require closer follow-up and evaluation for secondary causes of weight loss. Patients may lose weight at a faster rate with the new antiobesity medications, but clinicians still should ensure that age-appropriate health maintenance screening is done and be vigilant for secondary causes of weight changes.

“Have you tried losing weight yet?” Three times. That’s how many times Chanté Burkett went to her doctor about her painful, enlarging firm stomach. She was advised to continue working on weight loss, which she did diligently. But Ms. Burkett’s abdomen kept growing and her concerns were dismissed. A visit to urgent care and a CT scan revealed that Ms. Burkett’s excess abdominal “fat” was a 13-lb mucinous cystadenoma. Sadly, cases like hers aren’t rare, isolated events. Weight bias can cause anchoring on one diagnosis, preventing consideration of other diagnostic possibilities. Even worse, anchoring will lead to the wrong intervention, such as prescribing weight loss for presumed increased adiposity instead of ordering the appropriate testing.

It’s also essential to recognize that, even if someone does have the disease of obesity, weight loss isn’t the solution to every medical concern. Even if weight loss is helpful, other, more pressing treatments may still be necessary. Telling a person with obesity who has an acute complaint to “just lose weight” is comparable to telling a patient with coronary artery disease who presents with an 80% vessel occlusion and chest pain to follow a low-fat diet. In both cases, you need to address the acute concern appropriately, then focus on the chronic treatment.
 

Ways to reduce clinical weight bias

How do you reduce clinical weight bias?

Ask, don’t assume. The information from the scale is simply data. Instead of judging it positively or negatively and creating a story, ask the patient. An unbiased way to approach the conversation is to say, “Great to see you. You seem [positive adjective of choice]. How have you been?” Wait until the vitals section to objectively discuss weight unless the patient offers the discussion earlier or their chief complaint lists a weight-related concern.

Order necessary tests to evaluate weight. Weight is the vital sign that people wear externally, so we feel that we can readily interpret it without any further assessment. However, resist the urge to interpret scale data without context. Keeping an open mind helps prevent anchoring and missing critical clues in the clinical history.

Address weight changes effectively. Sometimes there is an indication to prescribe weight loss as part of the treatment plan. However, remember that weight loss isn’t simply “calories in vs. calories out.” Obesity is a complex medical disease that requires a multimodal treatment approach. As clinicians, we have access to the most powerful tools for weight loss. Unfortunately, weight bias contributes to limited prescribing of metabolic medications (“antiobesity medications” or AOMs). In addition, systemic weight bias prevents insurance coverage of AOMs. The Treat and Reduce Obesity Act has been introduced into Congress to help improve life-transforming access to AOMs.

Acknowledge your bias. Our experiences make us all susceptible to bias. The Harvard Weight Implicit Association Test is free and a helpful way to assess your level of weight bias. I take it annually to ensure that I remain objective in my practice.

Addressing weight bias needs to extend beyond the individual level.

Systemically, health care needs to address the following:

Language. Use people-centered language. For example, “People aren’t obese. They have obesity.”

Accessibility. Health care settings must be comfortable and accessible for people of all sizes. Furthermore, improvements to access the services that comprehensive obesity care requires, such as AOMs, bariatric procedures and bariatric surgery, mental health care, nutrition, fitness specialists, health coaches, and more, are needed.

Education. Medical students and trainees have to learn the newest obesity science and know how to treat obesity effectively. Acknowledge and address biased tools. Recent data have shown that some of our screening tools, such as body mass index, have inherent bias. It’s time to focus on using improved diagnostic tools and personalized treatments.

We are at a pivotal time in our scientific understanding of body weight regulation and the disease of obesity. Clinical weight bias is primarily rooted in flawed science influenced by biased cultural norms and other forms of discrimination, such as racial and gender bias. We must move past assumptions to give our patients the optimal individualized care they need. So next time you observe a weight change, instead of commenting on their weight, say, “Great to see you! How have you been?”

S*: Initial has been changed to protect privacy.

Dr. Gonsahn-Bollie is an integrative obesity specialist focused on individualized solutions for emotional and biological overeating. Connect with her at www.embraceyouweightloss.com or on Instagram @embraceyoumd. Her bestselling book, “Embrace You: Your Guide to Transforming Weight Loss Misconceptions Into Lifelong Wellness”, was Healthline.com’s Best Overall Weight Loss Book of 2022 and one of Livestrong.com’s 8 Best Weight-Loss Books to Read in 2022. She has disclosed no relevant financial relationships. A version of this article originally appeared on Medscape.com.

“Congratulations on the baby. You look great!” I enthusiastically proclaimed to my classmate. It was the start of the fall semester of my sophomore year of college.

At my small women’s college, the previous semester’s gossip had been about our classmate, S*. She had gone from being very thin to noticeably gaining a lot of weight in a few months. The rumors were that S was pregnant and gave birth over summer break. As a busy biology premed major, this was my first time hearing the news. So when I saw her standing in the hallway, back to her previous weight, I was excited for her.

In true extravert fashion, I commented on the baby and her new size. But no sooner had the words left my mouth than I regretted them.

The hall grew awkwardly silent as S’s face flushed and she asked, “Excuse me?!” Instantly I knew that the rumors weren’t true.

Thankfully, at that moment, the classroom opened and we walked in. Whew! After class, S asked if we could talk. She explained that she had a thyroid tumor and struggled to adjust to the treatments, which caused her weight fluctuations. She had never been pregnant.

My awkward statement had been the first time anyone on campus had directly mentioned her weight, though she suspected that people were talking about her. We became fast friends after this rocky beginning. Although we lost touch after college, S taught me an invaluable lesson about making assumptions about people’s weight: Ask before you assume.

Now, years later, as an internist and obesity specialist, this lesson continues to be reinforced daily.

In daily life, comments about weight can be perceived as rude. In the clinical setting, however, assumptions about weight are a form of weight bias. Weight bias can lead to weight stigma and even be dangerous to health care.

Let’s discuss the insidious influence of weight bias in health care through two commonly used phrases and then look at a few solutions to address weight bias in health care individually and systematically.
 

Common weight bias assumptions

“Great job, you lost weight!” In checking your patient’s vital signs, you notice that this patient with obesity has a significant weight change. You congratulate them upon entering the room. Unfortunately, their weight loss was a result of minimal eating after losing a loved one. This isn’t healthy weight loss. One of the adverse effects of weight bias is that it infers that weight loss is always a good thing, especially in people with larger bodies. This is a dangerous presumption. Let’s remember that the body favors fat storage, hence why “unintentional weight loss” is a recognized medical condition prompting evaluation. We have to be careful not to celebrate weight loss “at all costs,” such as fad diets that haven’t been shown to improve health outcomes.

Furthermore, patients who lose weight quickly (more than 4-8 lb/month) require closer follow-up and evaluation for secondary causes of weight loss. Patients may lose weight at a faster rate with the new antiobesity medications, but clinicians still should ensure that age-appropriate health maintenance screening is done and be vigilant for secondary causes of weight changes.

“Have you tried losing weight yet?” Three times. That’s how many times Chanté Burkett went to her doctor about her painful, enlarging firm stomach. She was advised to continue working on weight loss, which she did diligently. But Ms. Burkett’s abdomen kept growing and her concerns were dismissed. A visit to urgent care and a CT scan revealed that Ms. Burkett’s excess abdominal “fat” was a 13-lb mucinous cystadenoma. Sadly, cases like hers aren’t rare, isolated events. Weight bias can cause anchoring on one diagnosis, preventing consideration of other diagnostic possibilities. Even worse, anchoring will lead to the wrong intervention, such as prescribing weight loss for presumed increased adiposity instead of ordering the appropriate testing.

It’s also essential to recognize that, even if someone does have the disease of obesity, weight loss isn’t the solution to every medical concern. Even if weight loss is helpful, other, more pressing treatments may still be necessary. Telling a person with obesity who has an acute complaint to “just lose weight” is comparable to telling a patient with coronary artery disease who presents with an 80% vessel occlusion and chest pain to follow a low-fat diet. In both cases, you need to address the acute concern appropriately, then focus on the chronic treatment.
 

Ways to reduce clinical weight bias

How do you reduce clinical weight bias?

Ask, don’t assume. The information from the scale is simply data. Instead of judging it positively or negatively and creating a story, ask the patient. An unbiased way to approach the conversation is to say, “Great to see you. You seem [positive adjective of choice]. How have you been?” Wait until the vitals section to objectively discuss weight unless the patient offers the discussion earlier or their chief complaint lists a weight-related concern.

Order necessary tests to evaluate weight. Weight is the vital sign that people wear externally, so we feel that we can readily interpret it without any further assessment. However, resist the urge to interpret scale data without context. Keeping an open mind helps prevent anchoring and missing critical clues in the clinical history.

Address weight changes effectively. Sometimes there is an indication to prescribe weight loss as part of the treatment plan. However, remember that weight loss isn’t simply “calories in vs. calories out.” Obesity is a complex medical disease that requires a multimodal treatment approach. As clinicians, we have access to the most powerful tools for weight loss. Unfortunately, weight bias contributes to limited prescribing of metabolic medications (“antiobesity medications” or AOMs). In addition, systemic weight bias prevents insurance coverage of AOMs. The Treat and Reduce Obesity Act has been introduced into Congress to help improve life-transforming access to AOMs.

Acknowledge your bias. Our experiences make us all susceptible to bias. The Harvard Weight Implicit Association Test is free and a helpful way to assess your level of weight bias. I take it annually to ensure that I remain objective in my practice.

Addressing weight bias needs to extend beyond the individual level.

Systemically, health care needs to address the following:

Language. Use people-centered language. For example, “People aren’t obese. They have obesity.”

Accessibility. Health care settings must be comfortable and accessible for people of all sizes. Furthermore, improvements to access the services that comprehensive obesity care requires, such as AOMs, bariatric procedures and bariatric surgery, mental health care, nutrition, fitness specialists, health coaches, and more, are needed.

Education. Medical students and trainees have to learn the newest obesity science and know how to treat obesity effectively. Acknowledge and address biased tools. Recent data have shown that some of our screening tools, such as body mass index, have inherent bias. It’s time to focus on using improved diagnostic tools and personalized treatments.

We are at a pivotal time in our scientific understanding of body weight regulation and the disease of obesity. Clinical weight bias is primarily rooted in flawed science influenced by biased cultural norms and other forms of discrimination, such as racial and gender bias. We must move past assumptions to give our patients the optimal individualized care they need. So next time you observe a weight change, instead of commenting on their weight, say, “Great to see you! How have you been?”

S*: Initial has been changed to protect privacy.

Dr. Gonsahn-Bollie is an integrative obesity specialist focused on individualized solutions for emotional and biological overeating. Connect with her at www.embraceyouweightloss.com or on Instagram @embraceyoumd. Her bestselling book, “Embrace You: Your Guide to Transforming Weight Loss Misconceptions Into Lifelong Wellness”, was Healthline.com’s Best Overall Weight Loss Book of 2022 and one of Livestrong.com’s 8 Best Weight-Loss Books to Read in 2022. She has disclosed no relevant financial relationships. A version of this article originally appeared on Medscape.com.

A 12-month program of moderate to vigorous exercise reduced the risk of type 2 diabetes by approximately 50% in adults with obesity over 10 years, according to a new analysis of a study.

“Physical exercise combined with diet restriction has been proven to be effective in prevention of diabetes. However, the long-term effect of exercise on prevention of diabetes, and the difference of exercise intensity in prevention of diabetes have not been well studied,” said corresponding author Xiaoying Li, MD, of Zhongshan Hospital, Fudan University, Shanghai, in an interview.

In the research letter published in JAMA Internal Medicine, Dr. Li and colleagues analyzed the results of a study of 220 adults with central obesity and nonalcoholic fatty liver disease, but no incident diabetes, randomized to a 12-month program of vigorous exercise (73 patients), moderate aerobic exercise (73 patients) or no exercise (74 patients).

A total of 208 participants completed the 1-year intervention; of these, 195 and 178 remained to provide data at 2 years and 10 years, respectively. The mean age of the participants was 53.9 years, 32.3% were male, and the mean waist circumference was 96.1 cm at baseline.

The cumulative incidence of type 2 diabetes in the vigorous exercise, moderate exercise, and nonexercise groups was 2.1 per 100 person-years 1.9 per 100 person-years, and 4.1 per 100 person-years, respectively, over the 10-year follow-up period. This translated to a reduction in type 2 diabetes risk of 49% in the vigorous exercise group and 53% in the moderate exercise group compared with the nonexercise group.

In addition, individuals in the vigorous and moderate exercise groups significantly reduced their HbA1c and waist circumference compared with the nonexercisers. Levels of plasma fasting glucose and weight regain were lower in both exercise groups compared with nonexercisers, but these differences were not significant.

The exercise intervention was described in a 2016 study, which was also published in JAMA Internal Medicine. That study’s purpose was to compare the effects of exercise on patients with nonalcoholic fatty liver disease. Participants were coached and supervised for their exercise programs. The program for the vigorous group involved jogging for 150 minutes per week at 65%-80% of maximum heart rate for 6 months and brisk walking 150 minutes per week at 45%-55% of maximum heart rate for another 6 months. The program for the moderate exercise group involved brisk walking 150 minutes per week for 12 months.

Both exercise groups showed a trend towards higher levels of leisure time physical activity after 10 years compared with the nonexercise groups, although the difference was not significant.

The main limitation of the study was that incident prediabetes was not prespecified, which may have led to some confounding, the researchers noted. In addition, the participants were highly supervised for a 12-month program only. However, the results support the long-term value of physical exercise as a method of obesity management and to delay progression to type 2 diabetes in obese individuals, they said. Vigorous and moderate aerobic exercise programs could be implemented for this patient population, they concluded.

“Surprisingly, our findings demonstrated that a 12-month vigorous aerobic exercise or moderate aerobic exercise could significantly reduce the risk of incident diabetes by 50% over the 10-year follow-up,” Dr. Li said in an interview. The results suggest that physical exercise for some period of time can produce a long-term beneficial effect in prevention of type 2 diabetes, he said.

Potential barriers to the routine use of an exercise intervention in patients with obesity include the unwillingness of this population to engage in vigorous exercise, and the potential for musculoskeletal injury, said Dr. Li. In these cases, obese patients should be encouraged to pursue moderate exercise, Dr. Li said.

Looking ahead, more research is needed to examine the potential mechanism behind the effect of exercise on diabetes prevention, said Dr. Li.

Findings fill gap in long-term outcome data

The current study is important because of the long-term follow-up data, said Jill Kanaley, PhD, professor and interim chair of nutrition and exercise physiology at the University of Missouri, in an interview. “We seldom follow up on our training studies, thus it is important to see if there is any long-term impact of these interventions,” she said.

Dr. Kanaley said she was surprised to see the residual benefits of the exercise intervention 10 years later.

“We often wonder how long the impact of the exercise training will stay with someone so that they continue to exercise and watch their weight; this study seems to indicate that there is an educational component that stays with them,” she said.

The main clinical takeaway from the current study was the minimal weight gain over time, Dr. Kanaley said.

Although time may be a barrier to the routine use of an exercise intervention, patients have to realize that they can usually find the time, especially given the multiple benefits, said Dr. Kanaley. “The exercise interventions provide more benefits than just weight control and glucose levels,” she said.

“The 30-60 minutes of exercise does not have to come all at the same time,” Dr. Kanaley noted. “It could be three 15-minute bouts of exercise/physical activity to get their 45 minutes in,” she noted. Exercise does not have to be heavy vigorous exercise, even walking is beneficial, she said. For people who complain of boredom with an exercise routine, Dr. Kanaley encourages mixing it up, with activities such as different exercise classes, running, or walking on a different day of any given week.

Although the current study was conducted in China, the findings may translate to a U.S. population, Dr. Kanaley said in an interview. However, “frequently our Western diet is less healthy than the traditional Chinese diet. This may have provided an immeasurable benefit to these subjects,” although study participants did not make specific adjustments to their diets, she said.  

Additional research is needed to confirm the findings, said Dr. Kanaley. “Ideally, the study should be repeated in a population with a Western diet,” she noted.

Next steps for research include maintenance of activity

Evidence on the long-term benefits of exercise programs is limited, said Amanda Paluch, PhD, a physical activity epidemiologist at the University of Massachusetts, Amherst, in an interview.

“Chronic diseases such as diabetes can take years to develop, so understanding these important health outcomes requires years of follow-up. This study followed their study participants for 10 years, which gives us a nice glimpse of the long-term benefits of exercise training on diabetes prevention,” she said.

Data from previous observational studies of individuals’ current activity levels (without an intervention) suggest that adults who are more physically active have a lower risk of diabetes over time, said Dr. Paluch. However, the current study is one of the few with rigorous exercise interventions with extensive follow-up on diabetes risk, and it provides important evidence that a 12-month structured exercise program in inactive adults with obesity can result in meaningful long-term health benefits by lowering the risk of diabetes, she said.

“The individuals in the current study participated in a structured exercise program where their exercise sessions were supervised and coached,” Dr. Paluch noted. “Having a personalized coach may not be within the budget or time constraints for many people,” she said. Her message to clinicians for their patients: “When looking to start an exercise routine, identify an activity you enjoy and find feasible to fit into your existing life and schedule,” she said.

“Although this study was conducted in China, the results are meaningful for the U.S. population, as we would expect the physiological benefit of exercise to be consistent across various populations,” Dr. Paluch said. “However, there are certainly differences across countries at the individual level to the larger community-wide level that may influence a person’s ability to maintain physical activity and prevent diabetes, so replicating similar studies in other countries, including the U.S., would be of value.” 

“Additionally, we need more research on how to encourage maintenance of physical activity in the long-term, after the initial exercise program is over,” she said.

“From this current study, we cannot tease out whether diabetes risk is reduced because of the 12-month exercise intervention or the benefit is from maintaining physical activity regularly over the 10 years of follow-up, or a combination of the two,” said Dr. Paluch. Future studies should consider teasing out participants who were only active during the exercise intervention, then ceased being active vs. participants who continued with vigorous activity long-term, she said.

The study was supported by the National Nature Science Foundation, the National Key Research and Development Program of China, and the Shanghai Municipal Science and Technology Major Project. The researchers, Dr. Kanaley, and Dr. Paluch had no financial conflicts to disclose.

A 12-month program of moderate to vigorous exercise reduced the risk of type 2 diabetes by approximately 50% in adults with obesity over 10 years, according to a new analysis of a study.

“Physical exercise combined with diet restriction has been proven to be effective in prevention of diabetes. However, the long-term effect of exercise on prevention of diabetes, and the difference of exercise intensity in prevention of diabetes have not been well studied,” said corresponding author Xiaoying Li, MD, of Zhongshan Hospital, Fudan University, Shanghai, in an interview.

In the research letter published in JAMA Internal Medicine, Dr. Li and colleagues analyzed the results of a study of 220 adults with central obesity and nonalcoholic fatty liver disease, but no incident diabetes, randomized to a 12-month program of vigorous exercise (73 patients), moderate aerobic exercise (73 patients) or no exercise (74 patients).

A total of 208 participants completed the 1-year intervention; of these, 195 and 178 remained to provide data at 2 years and 10 years, respectively. The mean age of the participants was 53.9 years, 32.3% were male, and the mean waist circumference was 96.1 cm at baseline.

The cumulative incidence of type 2 diabetes in the vigorous exercise, moderate exercise, and nonexercise groups was 2.1 per 100 person-years 1.9 per 100 person-years, and 4.1 per 100 person-years, respectively, over the 10-year follow-up period. This translated to a reduction in type 2 diabetes risk of 49% in the vigorous exercise group and 53% in the moderate exercise group compared with the nonexercise group.

In addition, individuals in the vigorous and moderate exercise groups significantly reduced their HbA1c and waist circumference compared with the nonexercisers. Levels of plasma fasting glucose and weight regain were lower in both exercise groups compared with nonexercisers, but these differences were not significant.

The exercise intervention was described in a 2016 study, which was also published in JAMA Internal Medicine. That study’s purpose was to compare the effects of exercise on patients with nonalcoholic fatty liver disease. Participants were coached and supervised for their exercise programs. The program for the vigorous group involved jogging for 150 minutes per week at 65%-80% of maximum heart rate for 6 months and brisk walking 150 minutes per week at 45%-55% of maximum heart rate for another 6 months. The program for the moderate exercise group involved brisk walking 150 minutes per week for 12 months.

Both exercise groups showed a trend towards higher levels of leisure time physical activity after 10 years compared with the nonexercise groups, although the difference was not significant.

The main limitation of the study was that incident prediabetes was not prespecified, which may have led to some confounding, the researchers noted. In addition, the participants were highly supervised for a 12-month program only. However, the results support the long-term value of physical exercise as a method of obesity management and to delay progression to type 2 diabetes in obese individuals, they said. Vigorous and moderate aerobic exercise programs could be implemented for this patient population, they concluded.

“Surprisingly, our findings demonstrated that a 12-month vigorous aerobic exercise or moderate aerobic exercise could significantly reduce the risk of incident diabetes by 50% over the 10-year follow-up,” Dr. Li said in an interview. The results suggest that physical exercise for some period of time can produce a long-term beneficial effect in prevention of type 2 diabetes, he said.

Potential barriers to the routine use of an exercise intervention in patients with obesity include the unwillingness of this population to engage in vigorous exercise, and the potential for musculoskeletal injury, said Dr. Li. In these cases, obese patients should be encouraged to pursue moderate exercise, Dr. Li said.

Looking ahead, more research is needed to examine the potential mechanism behind the effect of exercise on diabetes prevention, said Dr. Li.

Findings fill gap in long-term outcome data

The current study is important because of the long-term follow-up data, said Jill Kanaley, PhD, professor and interim chair of nutrition and exercise physiology at the University of Missouri, in an interview. “We seldom follow up on our training studies, thus it is important to see if there is any long-term impact of these interventions,” she said.

Dr. Kanaley said she was surprised to see the residual benefits of the exercise intervention 10 years later.

“We often wonder how long the impact of the exercise training will stay with someone so that they continue to exercise and watch their weight; this study seems to indicate that there is an educational component that stays with them,” she said.

The main clinical takeaway from the current study was the minimal weight gain over time, Dr. Kanaley said.

Although time may be a barrier to the routine use of an exercise intervention, patients have to realize that they can usually find the time, especially given the multiple benefits, said Dr. Kanaley. “The exercise interventions provide more benefits than just weight control and glucose levels,” she said.

“The 30-60 minutes of exercise does not have to come all at the same time,” Dr. Kanaley noted. “It could be three 15-minute bouts of exercise/physical activity to get their 45 minutes in,” she noted. Exercise does not have to be heavy vigorous exercise, even walking is beneficial, she said. For people who complain of boredom with an exercise routine, Dr. Kanaley encourages mixing it up, with activities such as different exercise classes, running, or walking on a different day of any given week.

Although the current study was conducted in China, the findings may translate to a U.S. population, Dr. Kanaley said in an interview. However, “frequently our Western diet is less healthy than the traditional Chinese diet. This may have provided an immeasurable benefit to these subjects,” although study participants did not make specific adjustments to their diets, she said.  

Additional research is needed to confirm the findings, said Dr. Kanaley. “Ideally, the study should be repeated in a population with a Western diet,” she noted.

Next steps for research include maintenance of activity

Evidence on the long-term benefits of exercise programs is limited, said Amanda Paluch, PhD, a physical activity epidemiologist at the University of Massachusetts, Amherst, in an interview.

“Chronic diseases such as diabetes can take years to develop, so understanding these important health outcomes requires years of follow-up. This study followed their study participants for 10 years, which gives us a nice glimpse of the long-term benefits of exercise training on diabetes prevention,” she said.

Data from previous observational studies of individuals’ current activity levels (without an intervention) suggest that adults who are more physically active have a lower risk of diabetes over time, said Dr. Paluch. However, the current study is one of the few with rigorous exercise interventions with extensive follow-up on diabetes risk, and it provides important evidence that a 12-month structured exercise program in inactive adults with obesity can result in meaningful long-term health benefits by lowering the risk of diabetes, she said.

“The individuals in the current study participated in a structured exercise program where their exercise sessions were supervised and coached,” Dr. Paluch noted. “Having a personalized coach may not be within the budget or time constraints for many people,” she said. Her message to clinicians for their patients: “When looking to start an exercise routine, identify an activity you enjoy and find feasible to fit into your existing life and schedule,” she said.

“Although this study was conducted in China, the results are meaningful for the U.S. population, as we would expect the physiological benefit of exercise to be consistent across various populations,” Dr. Paluch said. “However, there are certainly differences across countries at the individual level to the larger community-wide level that may influence a person’s ability to maintain physical activity and prevent diabetes, so replicating similar studies in other countries, including the U.S., would be of value.” 

“Additionally, we need more research on how to encourage maintenance of physical activity in the long-term, after the initial exercise program is over,” she said.

“From this current study, we cannot tease out whether diabetes risk is reduced because of the 12-month exercise intervention or the benefit is from maintaining physical activity regularly over the 10 years of follow-up, or a combination of the two,” said Dr. Paluch. Future studies should consider teasing out participants who were only active during the exercise intervention, then ceased being active vs. participants who continued with vigorous activity long-term, she said.

The study was supported by the National Nature Science Foundation, the National Key Research and Development Program of China, and the Shanghai Municipal Science and Technology Major Project. The researchers, Dr. Kanaley, and Dr. Paluch had no financial conflicts to disclose.

A 12-month program of moderate to vigorous exercise reduced the risk of type 2 diabetes by approximately 50% in adults with obesity over 10 years, according to a new analysis of a study.

“Physical exercise combined with diet restriction has been proven to be effective in prevention of diabetes. However, the long-term effect of exercise on prevention of diabetes, and the difference of exercise intensity in prevention of diabetes have not been well studied,” said corresponding author Xiaoying Li, MD, of Zhongshan Hospital, Fudan University, Shanghai, in an interview.

In the research letter published in JAMA Internal Medicine, Dr. Li and colleagues analyzed the results of a study of 220 adults with central obesity and nonalcoholic fatty liver disease, but no incident diabetes, randomized to a 12-month program of vigorous exercise (73 patients), moderate aerobic exercise (73 patients) or no exercise (74 patients).

A total of 208 participants completed the 1-year intervention; of these, 195 and 178 remained to provide data at 2 years and 10 years, respectively. The mean age of the participants was 53.9 years, 32.3% were male, and the mean waist circumference was 96.1 cm at baseline.

The cumulative incidence of type 2 diabetes in the vigorous exercise, moderate exercise, and nonexercise groups was 2.1 per 100 person-years 1.9 per 100 person-years, and 4.1 per 100 person-years, respectively, over the 10-year follow-up period. This translated to a reduction in type 2 diabetes risk of 49% in the vigorous exercise group and 53% in the moderate exercise group compared with the nonexercise group.

In addition, individuals in the vigorous and moderate exercise groups significantly reduced their HbA1c and waist circumference compared with the nonexercisers. Levels of plasma fasting glucose and weight regain were lower in both exercise groups compared with nonexercisers, but these differences were not significant.

The exercise intervention was described in a 2016 study, which was also published in JAMA Internal Medicine. That study’s purpose was to compare the effects of exercise on patients with nonalcoholic fatty liver disease. Participants were coached and supervised for their exercise programs. The program for the vigorous group involved jogging for 150 minutes per week at 65%-80% of maximum heart rate for 6 months and brisk walking 150 minutes per week at 45%-55% of maximum heart rate for another 6 months. The program for the moderate exercise group involved brisk walking 150 minutes per week for 12 months.

Both exercise groups showed a trend towards higher levels of leisure time physical activity after 10 years compared with the nonexercise groups, although the difference was not significant.

The main limitation of the study was that incident prediabetes was not prespecified, which may have led to some confounding, the researchers noted. In addition, the participants were highly supervised for a 12-month program only. However, the results support the long-term value of physical exercise as a method of obesity management and to delay progression to type 2 diabetes in obese individuals, they said. Vigorous and moderate aerobic exercise programs could be implemented for this patient population, they concluded.

“Surprisingly, our findings demonstrated that a 12-month vigorous aerobic exercise or moderate aerobic exercise could significantly reduce the risk of incident diabetes by 50% over the 10-year follow-up,” Dr. Li said in an interview. The results suggest that physical exercise for some period of time can produce a long-term beneficial effect in prevention of type 2 diabetes, he said.

Potential barriers to the routine use of an exercise intervention in patients with obesity include the unwillingness of this population to engage in vigorous exercise, and the potential for musculoskeletal injury, said Dr. Li. In these cases, obese patients should be encouraged to pursue moderate exercise, Dr. Li said.

Looking ahead, more research is needed to examine the potential mechanism behind the effect of exercise on diabetes prevention, said Dr. Li.

Findings fill gap in long-term outcome data

The current study is important because of the long-term follow-up data, said Jill Kanaley, PhD, professor and interim chair of nutrition and exercise physiology at the University of Missouri, in an interview. “We seldom follow up on our training studies, thus it is important to see if there is any long-term impact of these interventions,” she said.

Dr. Kanaley said she was surprised to see the residual benefits of the exercise intervention 10 years later.

“We often wonder how long the impact of the exercise training will stay with someone so that they continue to exercise and watch their weight; this study seems to indicate that there is an educational component that stays with them,” she said.

The main clinical takeaway from the current study was the minimal weight gain over time, Dr. Kanaley said.

Although time may be a barrier to the routine use of an exercise intervention, patients have to realize that they can usually find the time, especially given the multiple benefits, said Dr. Kanaley. “The exercise interventions provide more benefits than just weight control and glucose levels,” she said.

“The 30-60 minutes of exercise does not have to come all at the same time,” Dr. Kanaley noted. “It could be three 15-minute bouts of exercise/physical activity to get their 45 minutes in,” she noted. Exercise does not have to be heavy vigorous exercise, even walking is beneficial, she said. For people who complain of boredom with an exercise routine, Dr. Kanaley encourages mixing it up, with activities such as different exercise classes, running, or walking on a different day of any given week.

Although the current study was conducted in China, the findings may translate to a U.S. population, Dr. Kanaley said in an interview. However, “frequently our Western diet is less healthy than the traditional Chinese diet. This may have provided an immeasurable benefit to these subjects,” although study participants did not make specific adjustments to their diets, she said.  

Additional research is needed to confirm the findings, said Dr. Kanaley. “Ideally, the study should be repeated in a population with a Western diet,” she noted.

Next steps for research include maintenance of activity

Evidence on the long-term benefits of exercise programs is limited, said Amanda Paluch, PhD, a physical activity epidemiologist at the University of Massachusetts, Amherst, in an interview.

“Chronic diseases such as diabetes can take years to develop, so understanding these important health outcomes requires years of follow-up. This study followed their study participants for 10 years, which gives us a nice glimpse of the long-term benefits of exercise training on diabetes prevention,” she said.

Data from previous observational studies of individuals’ current activity levels (without an intervention) suggest that adults who are more physically active have a lower risk of diabetes over time, said Dr. Paluch. However, the current study is one of the few with rigorous exercise interventions with extensive follow-up on diabetes risk, and it provides important evidence that a 12-month structured exercise program in inactive adults with obesity can result in meaningful long-term health benefits by lowering the risk of diabetes, she said.

“The individuals in the current study participated in a structured exercise program where their exercise sessions were supervised and coached,” Dr. Paluch noted. “Having a personalized coach may not be within the budget or time constraints for many people,” she said. Her message to clinicians for their patients: “When looking to start an exercise routine, identify an activity you enjoy and find feasible to fit into your existing life and schedule,” she said.

“Although this study was conducted in China, the results are meaningful for the U.S. population, as we would expect the physiological benefit of exercise to be consistent across various populations,” Dr. Paluch said. “However, there are certainly differences across countries at the individual level to the larger community-wide level that may influence a person’s ability to maintain physical activity and prevent diabetes, so replicating similar studies in other countries, including the U.S., would be of value.” 

“Additionally, we need more research on how to encourage maintenance of physical activity in the long-term, after the initial exercise program is over,” she said.

“From this current study, we cannot tease out whether diabetes risk is reduced because of the 12-month exercise intervention or the benefit is from maintaining physical activity regularly over the 10 years of follow-up, or a combination of the two,” said Dr. Paluch. Future studies should consider teasing out participants who were only active during the exercise intervention, then ceased being active vs. participants who continued with vigorous activity long-term, she said.

The study was supported by the National Nature Science Foundation, the National Key Research and Development Program of China, and the Shanghai Municipal Science and Technology Major Project. The researchers, Dr. Kanaley, and Dr. Paluch had no financial conflicts to disclose.

A diabetes screening program built into an electronic medical records system identified diabetes or prediabetes in 52% of individuals flagged for abnormal hemoglobin A1c, based on data from more than 2,000 adults.

“Despite the best efforts of clinicians, researchers, and educators, the number of patients living with undiagnosed diabetes is still rising and is currently at approximately 8.5 million, and the number of people unaware of their prediabetes is approximately 77 million,” lead investigator Kristie K. Danielson, PhD, said in an interview. Screening for diabetes is critical to start treatment early, to potentially reverse prediabetes, and to prevent the long-term complications of diabetes and reduced life expectancy.

sittithat tangwitthayaphum/Getty Images

In a pilot study published in JAMA Network Open, Dr. Danielson and colleagues reviewed data from 8,441 adults who visited a single emergency department in Chicago during February–April 2021.

The EMR at the hospital contained a built-in best practice alert (BPA) that flagged patients as being at risk for type 2 diabetes based the American Diabetes Association recommendations; the identification algorithm included age 45 years and older, or those aged 18-44 years with a body mass index of 25 kg/m² or higher, no previous history of diabetes, and no A1c measure in the last 3 years, according to the EMR.

A total of 8,441 adult patients visited the ED during the study period; 2,576 triggered BPA tests, and 2,074 had A1c results for review. Among the patients with A1c results, 52% had elevated values of 5.7% or higher. Of these, a total of 758 individuals were identified with prediabetes (A1c, 5.7%-6.4%), 265 with diabetes (A1c, 6.5%-9.9%), and 62 with severe diabetes (A1c, 10% or higher).

After testing, 352 patients with elevated A1c were contacted by the researchers. The mean age of this group was 52.2 years, 54.5% were women, and nearly two-thirds (64.8%) were non-Hispanic Black. The median income of those contacted was in the 44th percentile, and 50% had public insurance.

Most of those contacted (264 patients) were not aware of a previous diagnosis of prediabetes or diabetes; the remaining 88 had a previous diagnosis, but only 51 self-reported receiving treatment, the researchers noted.

Although the screening program successfully identified a significant number of previously undiagnosed individuals with diabetes, prediabetes, or poorly controlled diabetes, its feasibility in routine practice requires further study, the researchers wrote.

The findings were limited by several factors including the identification of patients previously diagnosed with diabetes but who were not being treated, and the potential bias toward individuals of higher socioeconomic status, the researchers noted. However, the results support further exploration of the program as a way to identify undiagnosed diabetes, especially in underserved populations.
 

Diabetes in underserved groups goes undetected

“We were surprised by the sheer number of people newly diagnosed with diabetes or prediabetes,” which was far greater than expected, commented Dr. Danielson of the University of Illinois at Chicago. “Clearly, we tapped into a new population that has not often been seen by primary care providers or endocrinologists, as is often the case for underserved and vulnerable individuals who visit the emergency department as a first line for health care.”

The screening alert system is straightforward to build into an existing EMR, with technical support, Dr. Danielson said. “In theory, it should be able to be incorporated into other clinical centers and emergency departments. One of the current limitations that we are seeing is that the EMR is still flagging some people already diagnosed with diabetes to be screened for diabetes.” However, “because of this, we also see this as an opportunity to identify and reach out to those with diabetes who are still underserved and not receiving the appropriate diabetes care they need.”

The study results have broader public health implications, Dr. Danielson added. “We have identified a new, large population of people with diabetes who need medical care and diabetes education. This will further add to the burden of health care and costs, and it raises the ethical question of screening and not having full resources readily available to help.

“In my opinion, the study sheds light on a significant issue that will hopefully help drive change at both a health systems and public health level locally and nationally,” she added.

“One of the significant research gaps that has emerged now is how to link these new patients to health care and diabetes education at our institution after they leave the emergency department,” said Dr. Danielson. Diabetes screening in the ED setting is “a very novel area for health system scientists, social workers, and others to now come to the table and collaborate on next steps to help our patients.”

The study was initiated by the investigators, but was supported by a grant from Novo Nordisk to two coauthors. Dr. Danielson also disclosed grant funding from Novo Nordisk during the conduct of the study.

A diabetes screening program built into an electronic medical records system identified diabetes or prediabetes in 52% of individuals flagged for abnormal hemoglobin A1c, based on data from more than 2,000 adults.

“Despite the best efforts of clinicians, researchers, and educators, the number of patients living with undiagnosed diabetes is still rising and is currently at approximately 8.5 million, and the number of people unaware of their prediabetes is approximately 77 million,” lead investigator Kristie K. Danielson, PhD, said in an interview. Screening for diabetes is critical to start treatment early, to potentially reverse prediabetes, and to prevent the long-term complications of diabetes and reduced life expectancy.

sittithat tangwitthayaphum/Getty Images

In a pilot study published in JAMA Network Open, Dr. Danielson and colleagues reviewed data from 8,441 adults who visited a single emergency department in Chicago during February–April 2021.

The EMR at the hospital contained a built-in best practice alert (BPA) that flagged patients as being at risk for type 2 diabetes based the American Diabetes Association recommendations; the identification algorithm included age 45 years and older, or those aged 18-44 years with a body mass index of 25 kg/m² or higher, no previous history of diabetes, and no A1c measure in the last 3 years, according to the EMR.

A total of 8,441 adult patients visited the ED during the study period; 2,576 triggered BPA tests, and 2,074 had A1c results for review. Among the patients with A1c results, 52% had elevated values of 5.7% or higher. Of these, a total of 758 individuals were identified with prediabetes (A1c, 5.7%-6.4%), 265 with diabetes (A1c, 6.5%-9.9%), and 62 with severe diabetes (A1c, 10% or higher).

After testing, 352 patients with elevated A1c were contacted by the researchers. The mean age of this group was 52.2 years, 54.5% were women, and nearly two-thirds (64.8%) were non-Hispanic Black. The median income of those contacted was in the 44th percentile, and 50% had public insurance.

Most of those contacted (264 patients) were not aware of a previous diagnosis of prediabetes or diabetes; the remaining 88 had a previous diagnosis, but only 51 self-reported receiving treatment, the researchers noted.

Although the screening program successfully identified a significant number of previously undiagnosed individuals with diabetes, prediabetes, or poorly controlled diabetes, its feasibility in routine practice requires further study, the researchers wrote.

The findings were limited by several factors including the identification of patients previously diagnosed with diabetes but who were not being treated, and the potential bias toward individuals of higher socioeconomic status, the researchers noted. However, the results support further exploration of the program as a way to identify undiagnosed diabetes, especially in underserved populations.
 

Diabetes in underserved groups goes undetected

“We were surprised by the sheer number of people newly diagnosed with diabetes or prediabetes,” which was far greater than expected, commented Dr. Danielson of the University of Illinois at Chicago. “Clearly, we tapped into a new population that has not often been seen by primary care providers or endocrinologists, as is often the case for underserved and vulnerable individuals who visit the emergency department as a first line for health care.”

The screening alert system is straightforward to build into an existing EMR, with technical support, Dr. Danielson said. “In theory, it should be able to be incorporated into other clinical centers and emergency departments. One of the current limitations that we are seeing is that the EMR is still flagging some people already diagnosed with diabetes to be screened for diabetes.” However, “because of this, we also see this as an opportunity to identify and reach out to those with diabetes who are still underserved and not receiving the appropriate diabetes care they need.”

The study results have broader public health implications, Dr. Danielson added. “We have identified a new, large population of people with diabetes who need medical care and diabetes education. This will further add to the burden of health care and costs, and it raises the ethical question of screening and not having full resources readily available to help.

“In my opinion, the study sheds light on a significant issue that will hopefully help drive change at both a health systems and public health level locally and nationally,” she added.

“One of the significant research gaps that has emerged now is how to link these new patients to health care and diabetes education at our institution after they leave the emergency department,” said Dr. Danielson. Diabetes screening in the ED setting is “a very novel area for health system scientists, social workers, and others to now come to the table and collaborate on next steps to help our patients.”

The study was initiated by the investigators, but was supported by a grant from Novo Nordisk to two coauthors. Dr. Danielson also disclosed grant funding from Novo Nordisk during the conduct of the study.

A diabetes screening program built into an electronic medical records system identified diabetes or prediabetes in 52% of individuals flagged for abnormal hemoglobin A1c, based on data from more than 2,000 adults.

“Despite the best efforts of clinicians, researchers, and educators, the number of patients living with undiagnosed diabetes is still rising and is currently at approximately 8.5 million, and the number of people unaware of their prediabetes is approximately 77 million,” lead investigator Kristie K. Danielson, PhD, said in an interview. Screening for diabetes is critical to start treatment early, to potentially reverse prediabetes, and to prevent the long-term complications of diabetes and reduced life expectancy.

sittithat tangwitthayaphum/Getty Images

In a pilot study published in JAMA Network Open, Dr. Danielson and colleagues reviewed data from 8,441 adults who visited a single emergency department in Chicago during February–April 2021.

The EMR at the hospital contained a built-in best practice alert (BPA) that flagged patients as being at risk for type 2 diabetes based the American Diabetes Association recommendations; the identification algorithm included age 45 years and older, or those aged 18-44 years with a body mass index of 25 kg/m² or higher, no previous history of diabetes, and no A1c measure in the last 3 years, according to the EMR.

A total of 8,441 adult patients visited the ED during the study period; 2,576 triggered BPA tests, and 2,074 had A1c results for review. Among the patients with A1c results, 52% had elevated values of 5.7% or higher. Of these, a total of 758 individuals were identified with prediabetes (A1c, 5.7%-6.4%), 265 with diabetes (A1c, 6.5%-9.9%), and 62 with severe diabetes (A1c, 10% or higher).

After testing, 352 patients with elevated A1c were contacted by the researchers. The mean age of this group was 52.2 years, 54.5% were women, and nearly two-thirds (64.8%) were non-Hispanic Black. The median income of those contacted was in the 44th percentile, and 50% had public insurance.

Most of those contacted (264 patients) were not aware of a previous diagnosis of prediabetes or diabetes; the remaining 88 had a previous diagnosis, but only 51 self-reported receiving treatment, the researchers noted.

Although the screening program successfully identified a significant number of previously undiagnosed individuals with diabetes, prediabetes, or poorly controlled diabetes, its feasibility in routine practice requires further study, the researchers wrote.

The findings were limited by several factors including the identification of patients previously diagnosed with diabetes but who were not being treated, and the potential bias toward individuals of higher socioeconomic status, the researchers noted. However, the results support further exploration of the program as a way to identify undiagnosed diabetes, especially in underserved populations.
 

Diabetes in underserved groups goes undetected

“We were surprised by the sheer number of people newly diagnosed with diabetes or prediabetes,” which was far greater than expected, commented Dr. Danielson of the University of Illinois at Chicago. “Clearly, we tapped into a new population that has not often been seen by primary care providers or endocrinologists, as is often the case for underserved and vulnerable individuals who visit the emergency department as a first line for health care.”

The screening alert system is straightforward to build into an existing EMR, with technical support, Dr. Danielson said. “In theory, it should be able to be incorporated into other clinical centers and emergency departments. One of the current limitations that we are seeing is that the EMR is still flagging some people already diagnosed with diabetes to be screened for diabetes.” However, “because of this, we also see this as an opportunity to identify and reach out to those with diabetes who are still underserved and not receiving the appropriate diabetes care they need.”

The study results have broader public health implications, Dr. Danielson added. “We have identified a new, large population of people with diabetes who need medical care and diabetes education. This will further add to the burden of health care and costs, and it raises the ethical question of screening and not having full resources readily available to help.

“In my opinion, the study sheds light on a significant issue that will hopefully help drive change at both a health systems and public health level locally and nationally,” she added.

“One of the significant research gaps that has emerged now is how to link these new patients to health care and diabetes education at our institution after they leave the emergency department,” said Dr. Danielson. Diabetes screening in the ED setting is “a very novel area for health system scientists, social workers, and others to now come to the table and collaborate on next steps to help our patients.”

The study was initiated by the investigators, but was supported by a grant from Novo Nordisk to two coauthors. Dr. Danielson also disclosed grant funding from Novo Nordisk during the conduct of the study.

Hormone replacement therapy (HRT) introduced early during the menopausal transition may protect against Alzheimer’s dementia in women carrying the APOE4 gene, new research suggests.

Results from a cohort study of almost 1,200 women showed that use of HRT was associated with higher delayed memory scores and larger entorhinal and hippocampal brain volumes – areas that are affected early by Alzheimer’s disease (AD) pathology.

HRT was also found to be most effective, as seen by larger hippocampal volume, when introduced during early perimenopause.

“Clinicians are very much aware of the susceptibility of women to cognitive disturbances during menopause,” lead author Rasha Saleh, MD, senior research associate, University of East Anglia (England), said in an interview.

“Identifying the at-risk APOE4 women and early HRT introduction can be of benefit. Confirming our findings in a clinical trial would be the next step forward,” Dr. Saleh said.

The findings were published online in Alzheimer’s Research and Therapy.
 

Personalized approaches

Dr. Saleh noted that estrogen receptors are localized in various areas of the brain, including cognition-related areas. Estrogen regulates such things as neuroinflammatory status, glucose utilization, and lipid metabolism.

“The decline of estrogen during menopause can lead to disturbance in these functions, which can accelerate AD-related pathology,” she said.

HRT during the menopausal transition and afterward is “being considered as a strategy to mitigate cognitive decline,” the investigators wrote. Early observational studies have suggested that oral estrogen “may be protective against dementia,” but results of clinical trials have been inconsistent, and some have even shown “harmful effects.”

The current researchers were “interested in the personalized approaches in the prevention of AD,” Dr. Saleh said. Preclinical and pilot data from her group have shown that women with APOE4 have “better cognitive test scores with nutritional and hormonal interventions.”

This led Dr. Saleh to hypothesize that HRT would be of more cognitive benefit for those with versus without APOE4, particularly when introduced early during the menopausal transition.

To investigate this hypothesis, the researchers analyzed baseline data from participants in the European Prevention of Alzheimer’s Dementia (EPAD) cohort. This project was initiated in 2015 with the aim of developing longitudinal models over the entire course of AD prior to dementia clinical diagnosis.

Participants were recruited from 10 European countries. All were required to be at least 50 years old, to have not been diagnosed with dementia at baseline, and to have no medical or psychiatric illness that could potentially exclude them from further research.

The current study included 1,178 women (mean age, 65.1 years), who were divided by genotype into non-APOE4 and APOE4 groups. HRT treatment for current or previous users included estrogen alone or estrogen plus progestogens via oral or transdermal administration routes, and at different doses.

The four tests used to assess cognition were the Mini-Mental State Examination dot counting to evaluate verbal working memory, the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) total score, the Four Mountain Test, and the supermarket trolley virtual reality test.

Brain MRI data were collected. The researchers focused on the medial temporal lobe as the “main brain region regulating cognition and memory processing.” This lobe includes the hippocampus, the parahippocampus, the entorhinal cortex, and the amygdala.
 

‘Critical window’

The researchers found a “trend” toward an APOE-HRT interaction (P-interaction = .097) for the total RBANS score. In particular, it was significant for the RBANS delayed memory index, where scores were consistently higher for women with APOE4 who had received HRT, compared with all other groups (P-interaction = .009).

Within-genotype group comparisons showed that HRT users had a higher RBANS total scale score and delayed memory index (P = .045 and P = .002, respectively), but only among APOE4 carriers. Effect size analyses showed a large effect of HRT use on the Four Mountain Test score and the supermarket trolley virtual reality test score (Cohen’s d = 0.988 and 1.2, respectively).

“This large effect was found only in APOE4 carriers,” the investigators noted.

Similarly, a moderate to large effect of HRT on the left entorhinal volume was observed in APOE4 carriers (Cohen’s d = 0.63).

In members of the APOE4 group who received HRT, the left entorhinal and left and right amygdala volumes were larger, compared with both no-APOE4 and non-HRT users (P-interaction = .002, .003, and .005, respectively). Similar trends were observed for the right entorhinal volume (P = .074).

In addition, among HRT users, the left entorhinal volume was larger (P = .03); the right and left anterior cingulate gyrus volumes were smaller (P = .003 and .062, respectively); and the left superior frontal gyrus volume was larger (P = .009) in comparison with women who did not receive HRT, independently of their APOE genotype.

Early use of HRT among APOE4 carriers was associated with larger right and left hippocampal volume (P = .035 and P = .028, respectively) – an association not found in non-APOE4 carriers. The association was also not significant when participants were not stratified by APOE genotype.

“The key important point here is the timing, or the ‘critical window,’ when HRT can be of most benefit,” Dr. Saleh said. “This is most beneficial when introduced early, before the neuropathology becomes irreversible.”

Study limitations include its cross-sectional design, which precludes the establishment of a causal relationship, and the fact that information regarding the type and dose of estrogen was not available for all participants.

HRT is not without risk, Dr. Saleh noted. She recommended that clinicians “carry out various screening tests to make sure that a woman is eligible for HRT and not at risk of hypercoagulability, for instance.”
 

Risk-benefit ratio

In a comment, Howard Fillit, MD, cofounder and chief science officer at the Alzheimer’s Drug Discovery Foundation, called the study “exactly the kind of work that needs to be done.”

Dr. Fillit, who was not involved with the current research, is a clinical professor of geriatric medicine, palliative care medicine, and neuroscience at Mount Sinai Hospital, New York.

He compared the process with that of osteoporosis. “We know that if women are treated [with HRT] at the time of the menopause, you can prevent the rapid bone loss that occurs with rapid estrogen loss. But if you wait 5, 10 years out, once the bone loss has occurred, the HRT doesn’t really have any impact on osteoporosis risk because the horse is already out of the barn,” he said.

Although HRT carries risks, “they can clearly be managed; and if it’s proven that estrogen or hormone replacement around the time of the menopause can be protective [against AD], the risk-benefit ratio of HRT could be in favor of treatment,” Dr. Fillit added.

The study was conducted as part of the Medical Research Council NuBrain Consortium. The investigators and Dr. Fillit reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Hormone replacement therapy (HRT) introduced early during the menopausal transition may protect against Alzheimer’s dementia in women carrying the APOE4 gene, new research suggests.

Results from a cohort study of almost 1,200 women showed that use of HRT was associated with higher delayed memory scores and larger entorhinal and hippocampal brain volumes – areas that are affected early by Alzheimer’s disease (AD) pathology.

HRT was also found to be most effective, as seen by larger hippocampal volume, when introduced during early perimenopause.

“Clinicians are very much aware of the susceptibility of women to cognitive disturbances during menopause,” lead author Rasha Saleh, MD, senior research associate, University of East Anglia (England), said in an interview.

“Identifying the at-risk APOE4 women and early HRT introduction can be of benefit. Confirming our findings in a clinical trial would be the next step forward,” Dr. Saleh said.

The findings were published online in Alzheimer’s Research and Therapy.
 

Personalized approaches

Dr. Saleh noted that estrogen receptors are localized in various areas of the brain, including cognition-related areas. Estrogen regulates such things as neuroinflammatory status, glucose utilization, and lipid metabolism.

“The decline of estrogen during menopause can lead to disturbance in these functions, which can accelerate AD-related pathology,” she said.

HRT during the menopausal transition and afterward is “being considered as a strategy to mitigate cognitive decline,” the investigators wrote. Early observational studies have suggested that oral estrogen “may be protective against dementia,” but results of clinical trials have been inconsistent, and some have even shown “harmful effects.”

The current researchers were “interested in the personalized approaches in the prevention of AD,” Dr. Saleh said. Preclinical and pilot data from her group have shown that women with APOE4 have “better cognitive test scores with nutritional and hormonal interventions.”

This led Dr. Saleh to hypothesize that HRT would be of more cognitive benefit for those with versus without APOE4, particularly when introduced early during the menopausal transition.

To investigate this hypothesis, the researchers analyzed baseline data from participants in the European Prevention of Alzheimer’s Dementia (EPAD) cohort. This project was initiated in 2015 with the aim of developing longitudinal models over the entire course of AD prior to dementia clinical diagnosis.

Participants were recruited from 10 European countries. All were required to be at least 50 years old, to have not been diagnosed with dementia at baseline, and to have no medical or psychiatric illness that could potentially exclude them from further research.

The current study included 1,178 women (mean age, 65.1 years), who were divided by genotype into non-APOE4 and APOE4 groups. HRT treatment for current or previous users included estrogen alone or estrogen plus progestogens via oral or transdermal administration routes, and at different doses.

The four tests used to assess cognition were the Mini-Mental State Examination dot counting to evaluate verbal working memory, the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) total score, the Four Mountain Test, and the supermarket trolley virtual reality test.

Brain MRI data were collected. The researchers focused on the medial temporal lobe as the “main brain region regulating cognition and memory processing.” This lobe includes the hippocampus, the parahippocampus, the entorhinal cortex, and the amygdala.
 

‘Critical window’

The researchers found a “trend” toward an APOE-HRT interaction (P-interaction = .097) for the total RBANS score. In particular, it was significant for the RBANS delayed memory index, where scores were consistently higher for women with APOE4 who had received HRT, compared with all other groups (P-interaction = .009).

Within-genotype group comparisons showed that HRT users had a higher RBANS total scale score and delayed memory index (P = .045 and P = .002, respectively), but only among APOE4 carriers. Effect size analyses showed a large effect of HRT use on the Four Mountain Test score and the supermarket trolley virtual reality test score (Cohen’s d = 0.988 and 1.2, respectively).

“This large effect was found only in APOE4 carriers,” the investigators noted.

Similarly, a moderate to large effect of HRT on the left entorhinal volume was observed in APOE4 carriers (Cohen’s d = 0.63).

In members of the APOE4 group who received HRT, the left entorhinal and left and right amygdala volumes were larger, compared with both no-APOE4 and non-HRT users (P-interaction = .002, .003, and .005, respectively). Similar trends were observed for the right entorhinal volume (P = .074).

In addition, among HRT users, the left entorhinal volume was larger (P = .03); the right and left anterior cingulate gyrus volumes were smaller (P = .003 and .062, respectively); and the left superior frontal gyrus volume was larger (P = .009) in comparison with women who did not receive HRT, independently of their APOE genotype.

Early use of HRT among APOE4 carriers was associated with larger right and left hippocampal volume (P = .035 and P = .028, respectively) – an association not found in non-APOE4 carriers. The association was also not significant when participants were not stratified by APOE genotype.

“The key important point here is the timing, or the ‘critical window,’ when HRT can be of most benefit,” Dr. Saleh said. “This is most beneficial when introduced early, before the neuropathology becomes irreversible.”

Study limitations include its cross-sectional design, which precludes the establishment of a causal relationship, and the fact that information regarding the type and dose of estrogen was not available for all participants.

HRT is not without risk, Dr. Saleh noted. She recommended that clinicians “carry out various screening tests to make sure that a woman is eligible for HRT and not at risk of hypercoagulability, for instance.”
 

Risk-benefit ratio

In a comment, Howard Fillit, MD, cofounder and chief science officer at the Alzheimer’s Drug Discovery Foundation, called the study “exactly the kind of work that needs to be done.”

Dr. Fillit, who was not involved with the current research, is a clinical professor of geriatric medicine, palliative care medicine, and neuroscience at Mount Sinai Hospital, New York.

He compared the process with that of osteoporosis. “We know that if women are treated [with HRT] at the time of the menopause, you can prevent the rapid bone loss that occurs with rapid estrogen loss. But if you wait 5, 10 years out, once the bone loss has occurred, the HRT doesn’t really have any impact on osteoporosis risk because the horse is already out of the barn,” he said.

Although HRT carries risks, “they can clearly be managed; and if it’s proven that estrogen or hormone replacement around the time of the menopause can be protective [against AD], the risk-benefit ratio of HRT could be in favor of treatment,” Dr. Fillit added.

The study was conducted as part of the Medical Research Council NuBrain Consortium. The investigators and Dr. Fillit reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Hormone replacement therapy (HRT) introduced early during the menopausal transition may protect against Alzheimer’s dementia in women carrying the APOE4 gene, new research suggests.

Results from a cohort study of almost 1,200 women showed that use of HRT was associated with higher delayed memory scores and larger entorhinal and hippocampal brain volumes – areas that are affected early by Alzheimer’s disease (AD) pathology.

HRT was also found to be most effective, as seen by larger hippocampal volume, when introduced during early perimenopause.

“Clinicians are very much aware of the susceptibility of women to cognitive disturbances during menopause,” lead author Rasha Saleh, MD, senior research associate, University of East Anglia (England), said in an interview.

“Identifying the at-risk APOE4 women and early HRT introduction can be of benefit. Confirming our findings in a clinical trial would be the next step forward,” Dr. Saleh said.

The findings were published online in Alzheimer’s Research and Therapy.
 

Personalized approaches

Dr. Saleh noted that estrogen receptors are localized in various areas of the brain, including cognition-related areas. Estrogen regulates such things as neuroinflammatory status, glucose utilization, and lipid metabolism.

“The decline of estrogen during menopause can lead to disturbance in these functions, which can accelerate AD-related pathology,” she said.

HRT during the menopausal transition and afterward is “being considered as a strategy to mitigate cognitive decline,” the investigators wrote. Early observational studies have suggested that oral estrogen “may be protective against dementia,” but results of clinical trials have been inconsistent, and some have even shown “harmful effects.”

The current researchers were “interested in the personalized approaches in the prevention of AD,” Dr. Saleh said. Preclinical and pilot data from her group have shown that women with APOE4 have “better cognitive test scores with nutritional and hormonal interventions.”

This led Dr. Saleh to hypothesize that HRT would be of more cognitive benefit for those with versus without APOE4, particularly when introduced early during the menopausal transition.

To investigate this hypothesis, the researchers analyzed baseline data from participants in the European Prevention of Alzheimer’s Dementia (EPAD) cohort. This project was initiated in 2015 with the aim of developing longitudinal models over the entire course of AD prior to dementia clinical diagnosis.

Participants were recruited from 10 European countries. All were required to be at least 50 years old, to have not been diagnosed with dementia at baseline, and to have no medical or psychiatric illness that could potentially exclude them from further research.

The current study included 1,178 women (mean age, 65.1 years), who were divided by genotype into non-APOE4 and APOE4 groups. HRT treatment for current or previous users included estrogen alone or estrogen plus progestogens via oral or transdermal administration routes, and at different doses.

The four tests used to assess cognition were the Mini-Mental State Examination dot counting to evaluate verbal working memory, the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) total score, the Four Mountain Test, and the supermarket trolley virtual reality test.

Brain MRI data were collected. The researchers focused on the medial temporal lobe as the “main brain region regulating cognition and memory processing.” This lobe includes the hippocampus, the parahippocampus, the entorhinal cortex, and the amygdala.
 

‘Critical window’

The researchers found a “trend” toward an APOE-HRT interaction (P-interaction = .097) for the total RBANS score. In particular, it was significant for the RBANS delayed memory index, where scores were consistently higher for women with APOE4 who had received HRT, compared with all other groups (P-interaction = .009).

Within-genotype group comparisons showed that HRT users had a higher RBANS total scale score and delayed memory index (P = .045 and P = .002, respectively), but only among APOE4 carriers. Effect size analyses showed a large effect of HRT use on the Four Mountain Test score and the supermarket trolley virtual reality test score (Cohen’s d = 0.988 and 1.2, respectively).

“This large effect was found only in APOE4 carriers,” the investigators noted.

Similarly, a moderate to large effect of HRT on the left entorhinal volume was observed in APOE4 carriers (Cohen’s d = 0.63).

In members of the APOE4 group who received HRT, the left entorhinal and left and right amygdala volumes were larger, compared with both no-APOE4 and non-HRT users (P-interaction = .002, .003, and .005, respectively). Similar trends were observed for the right entorhinal volume (P = .074).

In addition, among HRT users, the left entorhinal volume was larger (P = .03); the right and left anterior cingulate gyrus volumes were smaller (P = .003 and .062, respectively); and the left superior frontal gyrus volume was larger (P = .009) in comparison with women who did not receive HRT, independently of their APOE genotype.

Early use of HRT among APOE4 carriers was associated with larger right and left hippocampal volume (P = .035 and P = .028, respectively) – an association not found in non-APOE4 carriers. The association was also not significant when participants were not stratified by APOE genotype.

“The key important point here is the timing, or the ‘critical window,’ when HRT can be of most benefit,” Dr. Saleh said. “This is most beneficial when introduced early, before the neuropathology becomes irreversible.”

Study limitations include its cross-sectional design, which precludes the establishment of a causal relationship, and the fact that information regarding the type and dose of estrogen was not available for all participants.

HRT is not without risk, Dr. Saleh noted. She recommended that clinicians “carry out various screening tests to make sure that a woman is eligible for HRT and not at risk of hypercoagulability, for instance.”
 

Risk-benefit ratio

In a comment, Howard Fillit, MD, cofounder and chief science officer at the Alzheimer’s Drug Discovery Foundation, called the study “exactly the kind of work that needs to be done.”

Dr. Fillit, who was not involved with the current research, is a clinical professor of geriatric medicine, palliative care medicine, and neuroscience at Mount Sinai Hospital, New York.

He compared the process with that of osteoporosis. “We know that if women are treated [with HRT] at the time of the menopause, you can prevent the rapid bone loss that occurs with rapid estrogen loss. But if you wait 5, 10 years out, once the bone loss has occurred, the HRT doesn’t really have any impact on osteoporosis risk because the horse is already out of the barn,” he said.

Although HRT carries risks, “they can clearly be managed; and if it’s proven that estrogen or hormone replacement around the time of the menopause can be protective [against AD], the risk-benefit ratio of HRT could be in favor of treatment,” Dr. Fillit added.

The study was conducted as part of the Medical Research Council NuBrain Consortium. The investigators and Dr. Fillit reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

People who are overweight or have obesity appear to show a blunted response to vitamin D supplementation compared with normal-weight individuals in a new analysis of a randomized trial.

“There seems to be something different happening with vitamin D metabolism at higher body weights, and this study may help explain diminished outcomes of supplementation for individuals with an elevated body mass index (BMI),” said first author Deirdre K. Tobias, ScD, an associate epidemiologist at Brigham and Women’s Hospital’s division of preventive medicine in Boston. She made the comments in a press statement issued with the study, published online in JAMA Network Open.

The findings are from a post hoc analysis of the large-scale Vitamin D and Omega-3 Trial (VITAL), which overall, showed no benefits among those randomized to 5 years of vitamin D supplementation (2,000 IU/day) versus placebo in terms of the primary endpoints of cancer or major cardiovascular disease outcomes.

However, prespecified secondary analyses according to body weight showed that those of normal weight (body mass index < 25.0 kg/m²) did have significant benefits from supplementation versus placebo in terms of cancer incidence (24% lower), cancer mortality (42% lower), and autoimmune disease (22% lower), while no corresponding benefits were observed among those who were overweight or had obesity.

The new analysis adds important context to the trial’s overall findings, noted Katherine N. Bachmann, MD, in an accompanying editorial.

“Thanks to its very large sample size and detailed biomarker analyses, the current study is able to provide novel evidence that responses to vitamin D supplementation may be attenuated in individuals with overweight and obesity, and that this may contribute to the differential outcomes by BMI noted in the original VITAL,” she wrote.

“Further studies are warranted to determine the optimal dose or circulating vitamin D level for individuals with obesity for nonskeletal health-related outcomes,” added Dr. Bachmann, division of diabetes, endocrinology, and metabolism at Vanderbilt University Medical Center, Nashville, Tenn.
 

New analysis examined vitamin D and biomarkers at baseline and 2 years

To take a closer look at the specific changes in vitamin D serum and biomarker levels between the different body-weight groups, Dr. Tobias and colleagues evaluated data from 16,515 participants in the trial (of the 25,000 originally included in VITAL) and looked at changes in key vitamin D serum levels and biomarkers at baseline and follow-up.

Consistent with common observations of lower vitamin D levels with obesity, participants in the higher BMI categories had incrementally lower mean levels of serum total 25-hydroxyvitamin D (25-OHD) prior to randomization, with levels ranging from 32.3 ng/mL for normal weight individuals to 28.0 ng/mL for those with obesity class II (P < .001 for a linear trend).

Baseline levels of other vitamin D biomarkers were also lower with higher BMI, including total 25-OHD 3, free vitamin D (FVD), and bioavailable vitamin D (BioD).

Among 2,742 participants with repeated blood collections at year 2, significant mean increases were observed overall at the end of the study period in serum 25-OHD levels (11.9 ng/mL) among those randomized to vitamin D supplementation, compared with little change in the placebo group (–0.7 ng/mL).

There were also significant increases, overall, in mean total 25-OHD, 25-OHD3, FVD, and BioD levels at 2 years among those receiving supplementation, with little or no change in the placebo group.

When stratified by BMI level, however, the magnitude of increase was lower among those with higher baseline BMI (all treatment effect interactions P < .001). For instance, the mean increases in total 25-OHD level at 2 years for supplementation versus placebo were 13.5 ng/mL for those with a BMI less than 25.0 versus only 10.0 ng/mL for those with a BMI of at least 35.0.

Importantly, even after controlling for baseline vitamin D status of sufficiency or insufficiency, BMI was still significantly associated with changes seen with supplementation.

“It was surprising that, even in the context of low vitamin D levels, those with higher BMI still had a blunted response to supplementation, suggesting the interaction between supplementation and BMI with health outcomes is not simply due to higher prevalence of deficiency,” Dr. Tobias said in an interview. “It really does seem that, even with insufficient or low levels at baseline, those with higher BMI are not able to catch up to sufficient levels as well as those with normal BMI.”
 

Mechanisms?

Among leading theories as to why higher BMI would be associated with lower serum vitamin D levels and a lower response to supplementation is that because vitamin D is a fat-soluble vitamin, the increased adiposity and fat storage capacity with higher BMI results in greater removal of the vitamin from circulation.

“Our results are largely consistent with this hypothesis,” the authors noted.

They added that weight-loss studies, including those involving bariatric surgery, have further shown greater increases in serum 25-OHD or circulating vitamin D levels after weight loss compared with baseline.

Other theories suggest that obesity-induced hepatic dysfunction can contribute to impaired vitamin D metabolism.

Without a clear understanding of the exact mechanisms, the potential for addressing the lower vitamin D levels with, for instance, higher doses of supplementation among those with obesity, also remains unclear, Dr. Tobias noted.

“I think once there’s more clarity on what the mechanism is, then it would make sense to consider what doses could be necessary to achieve the internal levels desired,” she said.

The VITAL study received funding from a grant from the National Center for Complementary and Integrative Health and other sources.

A version of this article first appeared on Medscape.com.

People who are overweight or have obesity appear to show a blunted response to vitamin D supplementation compared with normal-weight individuals in a new analysis of a randomized trial.

“There seems to be something different happening with vitamin D metabolism at higher body weights, and this study may help explain diminished outcomes of supplementation for individuals with an elevated body mass index (BMI),” said first author Deirdre K. Tobias, ScD, an associate epidemiologist at Brigham and Women’s Hospital’s division of preventive medicine in Boston. She made the comments in a press statement issued with the study, published online in JAMA Network Open.

The findings are from a post hoc analysis of the large-scale Vitamin D and Omega-3 Trial (VITAL), which overall, showed no benefits among those randomized to 5 years of vitamin D supplementation (2,000 IU/day) versus placebo in terms of the primary endpoints of cancer or major cardiovascular disease outcomes.

However, prespecified secondary analyses according to body weight showed that those of normal weight (body mass index < 25.0 kg/m²) did have significant benefits from supplementation versus placebo in terms of cancer incidence (24% lower), cancer mortality (42% lower), and autoimmune disease (22% lower), while no corresponding benefits were observed among those who were overweight or had obesity.

The new analysis adds important context to the trial’s overall findings, noted Katherine N. Bachmann, MD, in an accompanying editorial.

“Thanks to its very large sample size and detailed biomarker analyses, the current study is able to provide novel evidence that responses to vitamin D supplementation may be attenuated in individuals with overweight and obesity, and that this may contribute to the differential outcomes by BMI noted in the original VITAL,” she wrote.

“Further studies are warranted to determine the optimal dose or circulating vitamin D level for individuals with obesity for nonskeletal health-related outcomes,” added Dr. Bachmann, division of diabetes, endocrinology, and metabolism at Vanderbilt University Medical Center, Nashville, Tenn.
 

New analysis examined vitamin D and biomarkers at baseline and 2 years

To take a closer look at the specific changes in vitamin D serum and biomarker levels between the different body-weight groups, Dr. Tobias and colleagues evaluated data from 16,515 participants in the trial (of the 25,000 originally included in VITAL) and looked at changes in key vitamin D serum levels and biomarkers at baseline and follow-up.

Consistent with common observations of lower vitamin D levels with obesity, participants in the higher BMI categories had incrementally lower mean levels of serum total 25-hydroxyvitamin D (25-OHD) prior to randomization, with levels ranging from 32.3 ng/mL for normal weight individuals to 28.0 ng/mL for those with obesity class II (P < .001 for a linear trend).

Baseline levels of other vitamin D biomarkers were also lower with higher BMI, including total 25-OHD 3, free vitamin D (FVD), and bioavailable vitamin D (BioD).

Among 2,742 participants with repeated blood collections at year 2, significant mean increases were observed overall at the end of the study period in serum 25-OHD levels (11.9 ng/mL) among those randomized to vitamin D supplementation, compared with little change in the placebo group (–0.7 ng/mL).

There were also significant increases, overall, in mean total 25-OHD, 25-OHD3, FVD, and BioD levels at 2 years among those receiving supplementation, with little or no change in the placebo group.

When stratified by BMI level, however, the magnitude of increase was lower among those with higher baseline BMI (all treatment effect interactions P < .001). For instance, the mean increases in total 25-OHD level at 2 years for supplementation versus placebo were 13.5 ng/mL for those with a BMI less than 25.0 versus only 10.0 ng/mL for those with a BMI of at least 35.0.

Importantly, even after controlling for baseline vitamin D status of sufficiency or insufficiency, BMI was still significantly associated with changes seen with supplementation.

“It was surprising that, even in the context of low vitamin D levels, those with higher BMI still had a blunted response to supplementation, suggesting the interaction between supplementation and BMI with health outcomes is not simply due to higher prevalence of deficiency,” Dr. Tobias said in an interview. “It really does seem that, even with insufficient or low levels at baseline, those with higher BMI are not able to catch up to sufficient levels as well as those with normal BMI.”
 

Mechanisms?

Among leading theories as to why higher BMI would be associated with lower serum vitamin D levels and a lower response to supplementation is that because vitamin D is a fat-soluble vitamin, the increased adiposity and fat storage capacity with higher BMI results in greater removal of the vitamin from circulation.

“Our results are largely consistent with this hypothesis,” the authors noted.

They added that weight-loss studies, including those involving bariatric surgery, have further shown greater increases in serum 25-OHD or circulating vitamin D levels after weight loss compared with baseline.

Other theories suggest that obesity-induced hepatic dysfunction can contribute to impaired vitamin D metabolism.

Without a clear understanding of the exact mechanisms, the potential for addressing the lower vitamin D levels with, for instance, higher doses of supplementation among those with obesity, also remains unclear, Dr. Tobias noted.

“I think once there’s more clarity on what the mechanism is, then it would make sense to consider what doses could be necessary to achieve the internal levels desired,” she said.

The VITAL study received funding from a grant from the National Center for Complementary and Integrative Health and other sources.

A version of this article first appeared on Medscape.com.

People who are overweight or have obesity appear to show a blunted response to vitamin D supplementation compared with normal-weight individuals in a new analysis of a randomized trial.

“There seems to be something different happening with vitamin D metabolism at higher body weights, and this study may help explain diminished outcomes of supplementation for individuals with an elevated body mass index (BMI),” said first author Deirdre K. Tobias, ScD, an associate epidemiologist at Brigham and Women’s Hospital’s division of preventive medicine in Boston. She made the comments in a press statement issued with the study, published online in JAMA Network Open.

The findings are from a post hoc analysis of the large-scale Vitamin D and Omega-3 Trial (VITAL), which overall, showed no benefits among those randomized to 5 years of vitamin D supplementation (2,000 IU/day) versus placebo in terms of the primary endpoints of cancer or major cardiovascular disease outcomes.

However, prespecified secondary analyses according to body weight showed that those of normal weight (body mass index < 25.0 kg/m²) did have significant benefits from supplementation versus placebo in terms of cancer incidence (24% lower), cancer mortality (42% lower), and autoimmune disease (22% lower), while no corresponding benefits were observed among those who were overweight or had obesity.

The new analysis adds important context to the trial’s overall findings, noted Katherine N. Bachmann, MD, in an accompanying editorial.

“Thanks to its very large sample size and detailed biomarker analyses, the current study is able to provide novel evidence that responses to vitamin D supplementation may be attenuated in individuals with overweight and obesity, and that this may contribute to the differential outcomes by BMI noted in the original VITAL,” she wrote.

“Further studies are warranted to determine the optimal dose or circulating vitamin D level for individuals with obesity for nonskeletal health-related outcomes,” added Dr. Bachmann, division of diabetes, endocrinology, and metabolism at Vanderbilt University Medical Center, Nashville, Tenn.
 

New analysis examined vitamin D and biomarkers at baseline and 2 years

To take a closer look at the specific changes in vitamin D serum and biomarker levels between the different body-weight groups, Dr. Tobias and colleagues evaluated data from 16,515 participants in the trial (of the 25,000 originally included in VITAL) and looked at changes in key vitamin D serum levels and biomarkers at baseline and follow-up.

Consistent with common observations of lower vitamin D levels with obesity, participants in the higher BMI categories had incrementally lower mean levels of serum total 25-hydroxyvitamin D (25-OHD) prior to randomization, with levels ranging from 32.3 ng/mL for normal weight individuals to 28.0 ng/mL for those with obesity class II (P < .001 for a linear trend).

Baseline levels of other vitamin D biomarkers were also lower with higher BMI, including total 25-OHD 3, free vitamin D (FVD), and bioavailable vitamin D (BioD).

Among 2,742 participants with repeated blood collections at year 2, significant mean increases were observed overall at the end of the study period in serum 25-OHD levels (11.9 ng/mL) among those randomized to vitamin D supplementation, compared with little change in the placebo group (–0.7 ng/mL).

There were also significant increases, overall, in mean total 25-OHD, 25-OHD3, FVD, and BioD levels at 2 years among those receiving supplementation, with little or no change in the placebo group.

When stratified by BMI level, however, the magnitude of increase was lower among those with higher baseline BMI (all treatment effect interactions P < .001). For instance, the mean increases in total 25-OHD level at 2 years for supplementation versus placebo were 13.5 ng/mL for those with a BMI less than 25.0 versus only 10.0 ng/mL for those with a BMI of at least 35.0.

Importantly, even after controlling for baseline vitamin D status of sufficiency or insufficiency, BMI was still significantly associated with changes seen with supplementation.

“It was surprising that, even in the context of low vitamin D levels, those with higher BMI still had a blunted response to supplementation, suggesting the interaction between supplementation and BMI with health outcomes is not simply due to higher prevalence of deficiency,” Dr. Tobias said in an interview. “It really does seem that, even with insufficient or low levels at baseline, those with higher BMI are not able to catch up to sufficient levels as well as those with normal BMI.”
 

Mechanisms?

Among leading theories as to why higher BMI would be associated with lower serum vitamin D levels and a lower response to supplementation is that because vitamin D is a fat-soluble vitamin, the increased adiposity and fat storage capacity with higher BMI results in greater removal of the vitamin from circulation.

“Our results are largely consistent with this hypothesis,” the authors noted.

They added that weight-loss studies, including those involving bariatric surgery, have further shown greater increases in serum 25-OHD or circulating vitamin D levels after weight loss compared with baseline.

Other theories suggest that obesity-induced hepatic dysfunction can contribute to impaired vitamin D metabolism.

Without a clear understanding of the exact mechanisms, the potential for addressing the lower vitamin D levels with, for instance, higher doses of supplementation among those with obesity, also remains unclear, Dr. Tobias noted.

“I think once there’s more clarity on what the mechanism is, then it would make sense to consider what doses could be necessary to achieve the internal levels desired,” she said.

The VITAL study received funding from a grant from the National Center for Complementary and Integrative Health and other sources.

A version of this article first appeared on Medscape.com.

Among people with type 2 diabetes who self-reported regularly using a proton pump inhibitor (PPI), the incidence of cardiovascular disease (CVD) events as well as all-cause death was significantly increased in a study of more than 19,000 people with type 2 diabetes in a prospective U.K. database.

During median follow-up of about 11 years, regular use of a PPI by people with type 2 diabetes was significantly linked with a 27% relative increase in the incidence of coronary artery disease, compared with nonuse of a PPI, after full adjustment for potential confounding variables.

The results also show PPI use was significantly linked after full adjustment with a 34% relative increase in MI, a 35% relative increase in heart failure, and a 30% relative increase in all-cause death, say a team of Chinese researchers in a recent report in the Journal of Clinical Endocrinology and Metabolism.

PPIs are a medication class widely used in both over-the-counter and prescription formulations to reduce acid production in the stomach and to treat gastroesophageal reflux disease and other acid-related disorders. The PPI class includes such widely used agents as esomeprazole (Nexium), lansoprazole (Prevacid), and omeprazole (Prilosec).

The analyses in this report, which used data collected in the UK Biobank, are “rigorous,” and the findings of “a modest elevation of CVD risk are consistent with a growing number of observational studies in populations with and without diabetes,” commented Mary R. Rooney, PhD, an epidemiologist at Johns Hopkins University, Baltimore, who focuses on diabetes and cardiovascular diseases.
 

Prior observational reports

For example, a report from a prospective, observational study of more than 4300 U.S. residents published in 2021 that Dr. Rooney coauthored documented that cumulative PPI exposure for more than 5 years was significantly linked with a twofold increase in the rate of CVD events, compared with people who did not use a PPI. (This analysis did not examine a possible effect of diabetes status.)

And in a separate prospective, observational study of more than 1,000 Australians with type 2 diabetes, initiation of PPI treatment was significantly linked with a 3.6-fold increased incidence of CVD events, compared with PPI nonuse.

However, Dr. Rooney cautioned that the role of PPI use in raising CVD events “is still an unresolved question. It is too soon to tell if PPI use in people with diabetes should trigger additional caution.” Findings are needed from prospective, randomized trials to determine more definitively whether PPIs play a causal role in the incidence of CVD events, she said in an interview.

U.S. practice often results in unwarranted prolongation of PPI treatment, said the authors of an editorial that accompanied the 2021 report by Dr. Rooney and coauthors.
 

Long-term PPI use threatens harm

“The practice of initiating stress ulcer prophylaxis [by administering a PPI] in critical care is common,” wrote the authors of the 2021 editorial, Nitin Malik, MD, and William S. Weintraub, MD. “Although it is data driven and well intentioned, the possibility of causing harm – if it is continued on a long-term basis after resolution of the acute illness – is palpable.”

The new analyses using UK Biobank data included 19,229 adults with type 2 diabetes and no preexisting coronary artery disease, MI, heart failure, or stroke. The cohort included 15,954 people (83%) who did not report using a PPI and 3,275 who currently used PPIs regularly. Study limitations include self-report as the only verification of PPI use and lack of information on type of PPI, dose size, or use duration.

The findings remained consistent in several sensitivity analyses, including a propensity score–matched analysis and after further adjustment for use of histamine₂ receptor antagonists, a drug class with indications similar to those for PPIs.

The authors of the report speculated that mechanisms that might link PPI use and increased CVD and mortality risk could include changes to the gut microbiota and possible interactions between PPIs and antiplatelet agents.

The study received no commercial funding. The authors and Dr. Rooney disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Among people with type 2 diabetes who self-reported regularly using a proton pump inhibitor (PPI), the incidence of cardiovascular disease (CVD) events as well as all-cause death was significantly increased in a study of more than 19,000 people with type 2 diabetes in a prospective U.K. database.

During median follow-up of about 11 years, regular use of a PPI by people with type 2 diabetes was significantly linked with a 27% relative increase in the incidence of coronary artery disease, compared with nonuse of a PPI, after full adjustment for potential confounding variables.

The results also show PPI use was significantly linked after full adjustment with a 34% relative increase in MI, a 35% relative increase in heart failure, and a 30% relative increase in all-cause death, say a team of Chinese researchers in a recent report in the Journal of Clinical Endocrinology and Metabolism.

PPIs are a medication class widely used in both over-the-counter and prescription formulations to reduce acid production in the stomach and to treat gastroesophageal reflux disease and other acid-related disorders. The PPI class includes such widely used agents as esomeprazole (Nexium), lansoprazole (Prevacid), and omeprazole (Prilosec).

The analyses in this report, which used data collected in the UK Biobank, are “rigorous,” and the findings of “a modest elevation of CVD risk are consistent with a growing number of observational studies in populations with and without diabetes,” commented Mary R. Rooney, PhD, an epidemiologist at Johns Hopkins University, Baltimore, who focuses on diabetes and cardiovascular diseases.
 

Prior observational reports

For example, a report from a prospective, observational study of more than 4300 U.S. residents published in 2021 that Dr. Rooney coauthored documented that cumulative PPI exposure for more than 5 years was significantly linked with a twofold increase in the rate of CVD events, compared with people who did not use a PPI. (This analysis did not examine a possible effect of diabetes status.)

And in a separate prospective, observational study of more than 1,000 Australians with type 2 diabetes, initiation of PPI treatment was significantly linked with a 3.6-fold increased incidence of CVD events, compared with PPI nonuse.

However, Dr. Rooney cautioned that the role of PPI use in raising CVD events “is still an unresolved question. It is too soon to tell if PPI use in people with diabetes should trigger additional caution.” Findings are needed from prospective, randomized trials to determine more definitively whether PPIs play a causal role in the incidence of CVD events, she said in an interview.

U.S. practice often results in unwarranted prolongation of PPI treatment, said the authors of an editorial that accompanied the 2021 report by Dr. Rooney and coauthors.
 

Long-term PPI use threatens harm

“The practice of initiating stress ulcer prophylaxis [by administering a PPI] in critical care is common,” wrote the authors of the 2021 editorial, Nitin Malik, MD, and William S. Weintraub, MD. “Although it is data driven and well intentioned, the possibility of causing harm – if it is continued on a long-term basis after resolution of the acute illness – is palpable.”

The new analyses using UK Biobank data included 19,229 adults with type 2 diabetes and no preexisting coronary artery disease, MI, heart failure, or stroke. The cohort included 15,954 people (83%) who did not report using a PPI and 3,275 who currently used PPIs regularly. Study limitations include self-report as the only verification of PPI use and lack of information on type of PPI, dose size, or use duration.

The findings remained consistent in several sensitivity analyses, including a propensity score–matched analysis and after further adjustment for use of histamine₂ receptor antagonists, a drug class with indications similar to those for PPIs.

The authors of the report speculated that mechanisms that might link PPI use and increased CVD and mortality risk could include changes to the gut microbiota and possible interactions between PPIs and antiplatelet agents.

The study received no commercial funding. The authors and Dr. Rooney disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Among people with type 2 diabetes who self-reported regularly using a proton pump inhibitor (PPI), the incidence of cardiovascular disease (CVD) events as well as all-cause death was significantly increased in a study of more than 19,000 people with type 2 diabetes in a prospective U.K. database.

During median follow-up of about 11 years, regular use of a PPI by people with type 2 diabetes was significantly linked with a 27% relative increase in the incidence of coronary artery disease, compared with nonuse of a PPI, after full adjustment for potential confounding variables.

The results also show PPI use was significantly linked after full adjustment with a 34% relative increase in MI, a 35% relative increase in heart failure, and a 30% relative increase in all-cause death, say a team of Chinese researchers in a recent report in the Journal of Clinical Endocrinology and Metabolism.

PPIs are a medication class widely used in both over-the-counter and prescription formulations to reduce acid production in the stomach and to treat gastroesophageal reflux disease and other acid-related disorders. The PPI class includes such widely used agents as esomeprazole (Nexium), lansoprazole (Prevacid), and omeprazole (Prilosec).

The analyses in this report, which used data collected in the UK Biobank, are “rigorous,” and the findings of “a modest elevation of CVD risk are consistent with a growing number of observational studies in populations with and without diabetes,” commented Mary R. Rooney, PhD, an epidemiologist at Johns Hopkins University, Baltimore, who focuses on diabetes and cardiovascular diseases.
 

Prior observational reports

For example, a report from a prospective, observational study of more than 4300 U.S. residents published in 2021 that Dr. Rooney coauthored documented that cumulative PPI exposure for more than 5 years was significantly linked with a twofold increase in the rate of CVD events, compared with people who did not use a PPI. (This analysis did not examine a possible effect of diabetes status.)

And in a separate prospective, observational study of more than 1,000 Australians with type 2 diabetes, initiation of PPI treatment was significantly linked with a 3.6-fold increased incidence of CVD events, compared with PPI nonuse.

However, Dr. Rooney cautioned that the role of PPI use in raising CVD events “is still an unresolved question. It is too soon to tell if PPI use in people with diabetes should trigger additional caution.” Findings are needed from prospective, randomized trials to determine more definitively whether PPIs play a causal role in the incidence of CVD events, she said in an interview.

U.S. practice often results in unwarranted prolongation of PPI treatment, said the authors of an editorial that accompanied the 2021 report by Dr. Rooney and coauthors.
 

Long-term PPI use threatens harm

“The practice of initiating stress ulcer prophylaxis [by administering a PPI] in critical care is common,” wrote the authors of the 2021 editorial, Nitin Malik, MD, and William S. Weintraub, MD. “Although it is data driven and well intentioned, the possibility of causing harm – if it is continued on a long-term basis after resolution of the acute illness – is palpable.”

The new analyses using UK Biobank data included 19,229 adults with type 2 diabetes and no preexisting coronary artery disease, MI, heart failure, or stroke. The cohort included 15,954 people (83%) who did not report using a PPI and 3,275 who currently used PPIs regularly. Study limitations include self-report as the only verification of PPI use and lack of information on type of PPI, dose size, or use duration.

The findings remained consistent in several sensitivity analyses, including a propensity score–matched analysis and after further adjustment for use of histamine₂ receptor antagonists, a drug class with indications similar to those for PPIs.

The authors of the report speculated that mechanisms that might link PPI use and increased CVD and mortality risk could include changes to the gut microbiota and possible interactions between PPIs and antiplatelet agents.

The study received no commercial funding. The authors and Dr. Rooney disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Primary care providers should treat obesity in children and adolescents aggressively including with medication and weight-loss surgery rather than rely on “watchful waiting” and hope the problem solves itself. That’s the upshot of new guidelines from the American Academy of Pediatrics.

The authors of the guidelines also encourage primary care doctors to collaborate with other medical professionals to treat the comorbidities often linked to obesity, rather than take on the entire challenge themselves.

“It’s impossible to treat obesity within the four walls of the clinic. That’s one thing I have learned,” Ihuoma Eneli, MD, associate director of the AAP Institute for Healthy Childhood Weight, told this news organization. For example, a primary care doctor could partner with a gastroenterologist when treating a child who has nonalcoholic fatty liver disease, added Dr. Eneli, a professor of pediatrics at the Ohio State University, Columbus, who helped write the recommendations.

The new document updates 2007 recommendations from AAP about treating children and adolescents who are overweight or obese. The earlier statement focused on behavioral modification and healthy eating behaviors and paid less attention to weight-lowering medications or bariatric surgery for young people. That document did not offer specific advice to health care providers about how to address childhood overweight or obesity.

The 2023 guidelines recommend that pediatricians offer anyone aged 12 years and older with obesity – defined as a body mass index (BMI) at the 95th percentile or higher – the option of receiving weight-loss medications in addition to ongoing support for lifestyle modifications, such as exercising more and eating healthier foods.

The same approach holds for bariatric surgery once children reach age 13, and AAP stressed that no physician should ever stigmatize children or imply that they are to blame for their weight.

AAP did not receive any industry funding to develop the guidelines.

As children reach the threshold BMI levels, physicians should conduct complete physicals and order blood tests to get a fuller picture of the patients’ health.

These are the first guidelines from AAP aimed at giving pediatricians and other primary care providers concrete guidance for managing overweight and obesity in younger patients.

“Obesity is a complex, chronic disease, and that’s a frame shift here,” said Sandra S. Hassink, MD, leader of the guideline group and director of the AAP Institute for Healthy Childhood Weight.

Dr. Hassink compared obesity to asthma, another chronic disease that merits prompt attention and ongoing treatment. A physician would never let a child with asthma go untreated until their breathing problems are so severe that they turn blue, Dr. Hassink said; similarly, physicians should treat obesity in young people promptly and over time.

While some aspects of treating overweight and obesity are the same for children and adults, Dr. Hassink noted distinct differences. “Every child is embedded in a family and extended support structure,” Dr. Hassink said, which means that any obesity management technique needs the buy-in and support of the child’s family too.

AAP’s new advice reflects current understanding that excess weight or obesity in children is a result of biological and social factors, such as living in a food desert or experiencing the effects of structural racism.

The guidelines synthesize the results of hundreds of studies about the best way to treat excess weight in young people. If multiple studies were of high quality and all reached similar conclusions, they received an “A.” Less robust but still informative studies rated a “B.” In aggregate, the guideline about weight-lowering medication is based on “B” evidence that could shift with further research.

The authors recommend that clinicians calculate a child’s BMI beginning at age 2 years, with particular attention to those at the 85th percentile or higher for their age and sex (which would be defined as overweight), at the 95th percentile or higher (obesity), or at the 120th percentile and higher (severe obesity). Clinicians also should monitor blood pressure and cholesterol in their patients with overweight or obesity, particularly once they reach age 10.

Starting at age 6, providers should interview patients and their families about what would motivate them to lose weight, then tailor interventions to those factors rather than just make a blanket declaration that weight loss is necessary. This step should be coupled with intensive support – ideally, at least 26 hours of face-to-face support over the course of a year, although more is better – about effective exercise and dietary habits that result in weight loss.

The intensive support model should remain in place throughout childhood and adolescence and should be coupled with referrals for weight-loss medications or bariatric surgeries as needed once children reach age 12 or 13. Those age cutoffs are based on current evidence as to when weight-loss medications or surgery becomes effective, Dr. Hassink said, and could be shifted to lower ages if that’s what new evidence shows.

“Intensive health behavioral and lifestyle treatment is the base of all other treatment extensions,” Dr. Eneli said.

Young patients who needed weight-lowering medication used to have fewer options, according to Aaron S. Kelly, PhD, the Minnesota American Legion and Auxiliary Chair in Children’s Health at the University of Minnesota, Minneapolis.

.No longer.

Dr. Kelly was not involved in drafting the guidelines but was the lead investigator for trials of liraglutide (Saxenda), which in 2020 received U.S. Food and Drug Administration approval for treating obesity in adolescents. In 2022, the agency approved phentermine and topiramate extended-release capsules (Qsymia) for long-term weight management for patients aged 12 years and older, along with a once-weekly injection of semaglutide (Wegovy) patients in this age group. There are no weight-lowering medications for children younger than 12, Dr. Kelly said.

“Obesity is not a lifestyle problem. A lot of it is driven by the underlying biology,” Dr. Kelly said. “Really, what these medicines do is make it easier for people to make the right lifestyle choices by pushing back against the biology.”

For example, a drug can make people feel full for longer or disrupt chemical pathways that result in craving certain foods. Dr. Kelly emphasized that these drugs do not give license for people to eat as much as they want.

As for bariatric surgery, the new guidelines adhere closely to those in a 2019 AAP statement that bariatric surgery is safe and effective in pediatric settings. This is gratifying to Kirk W. Reichard, MD, MBA, a lead author of the 2019 article and director of the bariatric surgery program at Nemours Children’s Health.

Even if the information isn’t new as of 2023, Dr. Reichard said, AAP’s imprimatur could cause some eligible families to consider bariatric surgery when they may not have done so before.

Dr. Eneli, Dr. Hassink, and Dr. Reichard reported no relevant financial conflicts of interest. Dr. Kelly has relationships with Boehringer Ingelheim, Eli Lilly, Novo Nordisk, and Vivus.

A version of this article first appeared on Medscape.com.

Primary care providers should treat obesity in children and adolescents aggressively including with medication and weight-loss surgery rather than rely on “watchful waiting” and hope the problem solves itself. That’s the upshot of new guidelines from the American Academy of Pediatrics.

The authors of the guidelines also encourage primary care doctors to collaborate with other medical professionals to treat the comorbidities often linked to obesity, rather than take on the entire challenge themselves.

“It’s impossible to treat obesity within the four walls of the clinic. That’s one thing I have learned,” Ihuoma Eneli, MD, associate director of the AAP Institute for Healthy Childhood Weight, told this news organization. For example, a primary care doctor could partner with a gastroenterologist when treating a child who has nonalcoholic fatty liver disease, added Dr. Eneli, a professor of pediatrics at the Ohio State University, Columbus, who helped write the recommendations.

The new document updates 2007 recommendations from AAP about treating children and adolescents who are overweight or obese. The earlier statement focused on behavioral modification and healthy eating behaviors and paid less attention to weight-lowering medications or bariatric surgery for young people. That document did not offer specific advice to health care providers about how to address childhood overweight or obesity.

The 2023 guidelines recommend that pediatricians offer anyone aged 12 years and older with obesity – defined as a body mass index (BMI) at the 95th percentile or higher – the option of receiving weight-loss medications in addition to ongoing support for lifestyle modifications, such as exercising more and eating healthier foods.

The same approach holds for bariatric surgery once children reach age 13, and AAP stressed that no physician should ever stigmatize children or imply that they are to blame for their weight.

AAP did not receive any industry funding to develop the guidelines.

As children reach the threshold BMI levels, physicians should conduct complete physicals and order blood tests to get a fuller picture of the patients’ health.

These are the first guidelines from AAP aimed at giving pediatricians and other primary care providers concrete guidance for managing overweight and obesity in younger patients.

“Obesity is a complex, chronic disease, and that’s a frame shift here,” said Sandra S. Hassink, MD, leader of the guideline group and director of the AAP Institute for Healthy Childhood Weight.

Dr. Hassink compared obesity to asthma, another chronic disease that merits prompt attention and ongoing treatment. A physician would never let a child with asthma go untreated until their breathing problems are so severe that they turn blue, Dr. Hassink said; similarly, physicians should treat obesity in young people promptly and over time.

While some aspects of treating overweight and obesity are the same for children and adults, Dr. Hassink noted distinct differences. “Every child is embedded in a family and extended support structure,” Dr. Hassink said, which means that any obesity management technique needs the buy-in and support of the child’s family too.

AAP’s new advice reflects current understanding that excess weight or obesity in children is a result of biological and social factors, such as living in a food desert or experiencing the effects of structural racism.

The guidelines synthesize the results of hundreds of studies about the best way to treat excess weight in young people. If multiple studies were of high quality and all reached similar conclusions, they received an “A.” Less robust but still informative studies rated a “B.” In aggregate, the guideline about weight-lowering medication is based on “B” evidence that could shift with further research.

The authors recommend that clinicians calculate a child’s BMI beginning at age 2 years, with particular attention to those at the 85th percentile or higher for their age and sex (which would be defined as overweight), at the 95th percentile or higher (obesity), or at the 120th percentile and higher (severe obesity). Clinicians also should monitor blood pressure and cholesterol in their patients with overweight or obesity, particularly once they reach age 10.

Starting at age 6, providers should interview patients and their families about what would motivate them to lose weight, then tailor interventions to those factors rather than just make a blanket declaration that weight loss is necessary. This step should be coupled with intensive support – ideally, at least 26 hours of face-to-face support over the course of a year, although more is better – about effective exercise and dietary habits that result in weight loss.

The intensive support model should remain in place throughout childhood and adolescence and should be coupled with referrals for weight-loss medications or bariatric surgeries as needed once children reach age 12 or 13. Those age cutoffs are based on current evidence as to when weight-loss medications or surgery becomes effective, Dr. Hassink said, and could be shifted to lower ages if that’s what new evidence shows.

“Intensive health behavioral and lifestyle treatment is the base of all other treatment extensions,” Dr. Eneli said.

Young patients who needed weight-lowering medication used to have fewer options, according to Aaron S. Kelly, PhD, the Minnesota American Legion and Auxiliary Chair in Children’s Health at the University of Minnesota, Minneapolis.

.No longer.

Dr. Kelly was not involved in drafting the guidelines but was the lead investigator for trials of liraglutide (Saxenda), which in 2020 received U.S. Food and Drug Administration approval for treating obesity in adolescents. In 2022, the agency approved phentermine and topiramate extended-release capsules (Qsymia) for long-term weight management for patients aged 12 years and older, along with a once-weekly injection of semaglutide (Wegovy) patients in this age group. There are no weight-lowering medications for children younger than 12, Dr. Kelly said.

“Obesity is not a lifestyle problem. A lot of it is driven by the underlying biology,” Dr. Kelly said. “Really, what these medicines do is make it easier for people to make the right lifestyle choices by pushing back against the biology.”

For example, a drug can make people feel full for longer or disrupt chemical pathways that result in craving certain foods. Dr. Kelly emphasized that these drugs do not give license for people to eat as much as they want.

As for bariatric surgery, the new guidelines adhere closely to those in a 2019 AAP statement that bariatric surgery is safe and effective in pediatric settings. This is gratifying to Kirk W. Reichard, MD, MBA, a lead author of the 2019 article and director of the bariatric surgery program at Nemours Children’s Health.

Even if the information isn’t new as of 2023, Dr. Reichard said, AAP’s imprimatur could cause some eligible families to consider bariatric surgery when they may not have done so before.

Dr. Eneli, Dr. Hassink, and Dr. Reichard reported no relevant financial conflicts of interest. Dr. Kelly has relationships with Boehringer Ingelheim, Eli Lilly, Novo Nordisk, and Vivus.

A version of this article first appeared on Medscape.com.

Primary care providers should treat obesity in children and adolescents aggressively including with medication and weight-loss surgery rather than rely on “watchful waiting” and hope the problem solves itself. That’s the upshot of new guidelines from the American Academy of Pediatrics.

The authors of the guidelines also encourage primary care doctors to collaborate with other medical professionals to treat the comorbidities often linked to obesity, rather than take on the entire challenge themselves.

“It’s impossible to treat obesity within the four walls of the clinic. That’s one thing I have learned,” Ihuoma Eneli, MD, associate director of the AAP Institute for Healthy Childhood Weight, told this news organization. For example, a primary care doctor could partner with a gastroenterologist when treating a child who has nonalcoholic fatty liver disease, added Dr. Eneli, a professor of pediatrics at the Ohio State University, Columbus, who helped write the recommendations.

The new document updates 2007 recommendations from AAP about treating children and adolescents who are overweight or obese. The earlier statement focused on behavioral modification and healthy eating behaviors and paid less attention to weight-lowering medications or bariatric surgery for young people. That document did not offer specific advice to health care providers about how to address childhood overweight or obesity.

The 2023 guidelines recommend that pediatricians offer anyone aged 12 years and older with obesity – defined as a body mass index (BMI) at the 95th percentile or higher – the option of receiving weight-loss medications in addition to ongoing support for lifestyle modifications, such as exercising more and eating healthier foods.

The same approach holds for bariatric surgery once children reach age 13, and AAP stressed that no physician should ever stigmatize children or imply that they are to blame for their weight.

AAP did not receive any industry funding to develop the guidelines.

As children reach the threshold BMI levels, physicians should conduct complete physicals and order blood tests to get a fuller picture of the patients’ health.

These are the first guidelines from AAP aimed at giving pediatricians and other primary care providers concrete guidance for managing overweight and obesity in younger patients.

“Obesity is a complex, chronic disease, and that’s a frame shift here,” said Sandra S. Hassink, MD, leader of the guideline group and director of the AAP Institute for Healthy Childhood Weight.

Dr. Hassink compared obesity to asthma, another chronic disease that merits prompt attention and ongoing treatment. A physician would never let a child with asthma go untreated until their breathing problems are so severe that they turn blue, Dr. Hassink said; similarly, physicians should treat obesity in young people promptly and over time.

While some aspects of treating overweight and obesity are the same for children and adults, Dr. Hassink noted distinct differences. “Every child is embedded in a family and extended support structure,” Dr. Hassink said, which means that any obesity management technique needs the buy-in and support of the child’s family too.

AAP’s new advice reflects current understanding that excess weight or obesity in children is a result of biological and social factors, such as living in a food desert or experiencing the effects of structural racism.

The guidelines synthesize the results of hundreds of studies about the best way to treat excess weight in young people. If multiple studies were of high quality and all reached similar conclusions, they received an “A.” Less robust but still informative studies rated a “B.” In aggregate, the guideline about weight-lowering medication is based on “B” evidence that could shift with further research.

The authors recommend that clinicians calculate a child’s BMI beginning at age 2 years, with particular attention to those at the 85th percentile or higher for their age and sex (which would be defined as overweight), at the 95th percentile or higher (obesity), or at the 120th percentile and higher (severe obesity). Clinicians also should monitor blood pressure and cholesterol in their patients with overweight or obesity, particularly once they reach age 10.

Starting at age 6, providers should interview patients and their families about what would motivate them to lose weight, then tailor interventions to those factors rather than just make a blanket declaration that weight loss is necessary. This step should be coupled with intensive support – ideally, at least 26 hours of face-to-face support over the course of a year, although more is better – about effective exercise and dietary habits that result in weight loss.

The intensive support model should remain in place throughout childhood and adolescence and should be coupled with referrals for weight-loss medications or bariatric surgeries as needed once children reach age 12 or 13. Those age cutoffs are based on current evidence as to when weight-loss medications or surgery becomes effective, Dr. Hassink said, and could be shifted to lower ages if that’s what new evidence shows.

“Intensive health behavioral and lifestyle treatment is the base of all other treatment extensions,” Dr. Eneli said.

Young patients who needed weight-lowering medication used to have fewer options, according to Aaron S. Kelly, PhD, the Minnesota American Legion and Auxiliary Chair in Children’s Health at the University of Minnesota, Minneapolis.

.No longer.

Dr. Kelly was not involved in drafting the guidelines but was the lead investigator for trials of liraglutide (Saxenda), which in 2020 received U.S. Food and Drug Administration approval for treating obesity in adolescents. In 2022, the agency approved phentermine and topiramate extended-release capsules (Qsymia) for long-term weight management for patients aged 12 years and older, along with a once-weekly injection of semaglutide (Wegovy) patients in this age group. There are no weight-lowering medications for children younger than 12, Dr. Kelly said.

“Obesity is not a lifestyle problem. A lot of it is driven by the underlying biology,” Dr. Kelly said. “Really, what these medicines do is make it easier for people to make the right lifestyle choices by pushing back against the biology.”

For example, a drug can make people feel full for longer or disrupt chemical pathways that result in craving certain foods. Dr. Kelly emphasized that these drugs do not give license for people to eat as much as they want.

As for bariatric surgery, the new guidelines adhere closely to those in a 2019 AAP statement that bariatric surgery is safe and effective in pediatric settings. This is gratifying to Kirk W. Reichard, MD, MBA, a lead author of the 2019 article and director of the bariatric surgery program at Nemours Children’s Health.

Even if the information isn’t new as of 2023, Dr. Reichard said, AAP’s imprimatur could cause some eligible families to consider bariatric surgery when they may not have done so before.

Dr. Eneli, Dr. Hassink, and Dr. Reichard reported no relevant financial conflicts of interest. Dr. Kelly has relationships with Boehringer Ingelheim, Eli Lilly, Novo Nordisk, and Vivus.

A version of this article first appeared on Medscape.com.