Heidi Splete

People with diabetes who had a poor-quality diet and food insecurity were significantly more likely to have poor glycemic and cholesterol control than were those with a healthier diet and food security, based on data from a national study of more than 2,000 individuals.

The American Diabetes Association recommends a high-quality diet for people with diabetes (PWD) to achieve treatment goals; however, roughly 18% of PWD in the United States are food insecure and/or have a poor-quality diet, Sarah S. Casagrande, PhD, of DLH Corporation, Silver Spring, Md., and colleagues wrote in a poster presented at the annual scientific sessions of the ADA in New Orleans.

To examine the impact of food insecurity and diet quality on diabetes and lipid management, the researchers reviewed data from 2,075 adults with self-reported diabetes who completed the National Health and Nutrition Examination Surveys between 2013 and 2018.

Diet quality was divided into quartiles based on the 2015 Healthy Eating Index. Food insecurity was assessed using a standard 10-item questionnaire including questions about running out of food and not being able to afford more, reducing meal sizes, eating less or not at all, and going hungry because of lack of money for food.

The logistic regression analysis controlled for factors including sociodemographics, health care use, smoking, diabetes medications, blood pressure medication use, cholesterol medication use, and body mass index.

Overall, 17.6% of the participants were food insecure and had a low-quality diet, 14.2% were food insecure with a high-quality diet, 33.1% were food secure with a low-quality diet, and 35.2% were food secure with a high-quality diet.

PWD in the food insecure/low-quality diet group were significantly more likely to be younger, non-Hispanic black or Hispanic, and uninsured compared to those in the food secure/high-quality diet group (P < .001 for all).

When the researchers examined glycemic control, they found that PWD in the food insecurity/low-quality diet groups were significantly more likely than were those with food security/high-quality diets to have hemoglobin A1c of at least 7.0% (adjusted odds ratio, 1.85), A1c of at least 8.0% (aOR, 1.79), low HDL cholesterol (aOR, 1.69), and high triglycerides (aOR, 3.26).

PWD with food insecurity but a high-quality diet also were significantly more likely than were those with food security and a high quality diet to have A1c of at least 7.0% (aOR, 1.69), A1c of at least 8.0% (aOR, 1.83), and high triglycerides (aOR, 2.44). PWD with food security but a low-quality diet were significantly more likely than was the food security/high-quality diet group to have A1c of at least 7% (aOR, 1.55).

The study findings were limited by several factors including the cross-sectional design, reliance on self-reports, and inability to distinguish between type 1 and type 2 diabetes, the researchers wrote.

However, the results were strengthened by the large, nationally representative sample and the inclusion of multiple clinical outcomes in the patient assessment, they said.

The results suggest that food insecurity had a significant impact on both glycemic control and cholesterol management independent of diet quality, the researchers noted. Based on these findings, health care providers treating PWD may wish to assess their patients’ food security status, and “interventions could address disparities in food security,” they concluded.
 

Food insecurity a growing problem

“With more communities being pushed into state of war, drought, and famine globally, it is important to track impact of food insecurity and low quality food on common medical conditions like diabetes in our vulnerable communities,” Romesh K. Khardori, MD, professor of medicine: endocrinology, and metabolism at Eastern Virginia Medical School, Norfolk, said in an interview.

Dr. Khardori, who was not involved in the study, said he was not surprised by the current study findings.

“Type of food, amount of food, and quality of food have been stressed in diabetes management for more than 100 years,” he said. “Organizations charged with recommendations, such as the ADA and American Dietetic Association, have regularly updated their recommendations,” he noted. “It was not surprising, therefore, to find food insecurity and low quality tied to poor glycemic control.”

The take-home message for clinicians is to consider the availability and quality of food that their patients are exposed to when evaluating barriers to proper glycemic control, Dr. Khardori emphasized.

However, additional research is needed to explore whether the prescription of a sufficient amount of good quality food would alleviate the adverse impact seen in the current study, he said.

The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. The researchers and Dr. Khardori had no financial conflicts to disclose.

People with diabetes who had a poor-quality diet and food insecurity were significantly more likely to have poor glycemic and cholesterol control than were those with a healthier diet and food security, based on data from a national study of more than 2,000 individuals.

The American Diabetes Association recommends a high-quality diet for people with diabetes (PWD) to achieve treatment goals; however, roughly 18% of PWD in the United States are food insecure and/or have a poor-quality diet, Sarah S. Casagrande, PhD, of DLH Corporation, Silver Spring, Md., and colleagues wrote in a poster presented at the annual scientific sessions of the ADA in New Orleans.

To examine the impact of food insecurity and diet quality on diabetes and lipid management, the researchers reviewed data from 2,075 adults with self-reported diabetes who completed the National Health and Nutrition Examination Surveys between 2013 and 2018.

Diet quality was divided into quartiles based on the 2015 Healthy Eating Index. Food insecurity was assessed using a standard 10-item questionnaire including questions about running out of food and not being able to afford more, reducing meal sizes, eating less or not at all, and going hungry because of lack of money for food.

The logistic regression analysis controlled for factors including sociodemographics, health care use, smoking, diabetes medications, blood pressure medication use, cholesterol medication use, and body mass index.

Overall, 17.6% of the participants were food insecure and had a low-quality diet, 14.2% were food insecure with a high-quality diet, 33.1% were food secure with a low-quality diet, and 35.2% were food secure with a high-quality diet.

PWD in the food insecure/low-quality diet group were significantly more likely to be younger, non-Hispanic black or Hispanic, and uninsured compared to those in the food secure/high-quality diet group (P < .001 for all).

When the researchers examined glycemic control, they found that PWD in the food insecurity/low-quality diet groups were significantly more likely than were those with food security/high-quality diets to have hemoglobin A1c of at least 7.0% (adjusted odds ratio, 1.85), A1c of at least 8.0% (aOR, 1.79), low HDL cholesterol (aOR, 1.69), and high triglycerides (aOR, 3.26).

PWD with food insecurity but a high-quality diet also were significantly more likely than were those with food security and a high quality diet to have A1c of at least 7.0% (aOR, 1.69), A1c of at least 8.0% (aOR, 1.83), and high triglycerides (aOR, 2.44). PWD with food security but a low-quality diet were significantly more likely than was the food security/high-quality diet group to have A1c of at least 7% (aOR, 1.55).

The study findings were limited by several factors including the cross-sectional design, reliance on self-reports, and inability to distinguish between type 1 and type 2 diabetes, the researchers wrote.

However, the results were strengthened by the large, nationally representative sample and the inclusion of multiple clinical outcomes in the patient assessment, they said.

The results suggest that food insecurity had a significant impact on both glycemic control and cholesterol management independent of diet quality, the researchers noted. Based on these findings, health care providers treating PWD may wish to assess their patients’ food security status, and “interventions could address disparities in food security,” they concluded.
 

Food insecurity a growing problem

“With more communities being pushed into state of war, drought, and famine globally, it is important to track impact of food insecurity and low quality food on common medical conditions like diabetes in our vulnerable communities,” Romesh K. Khardori, MD, professor of medicine: endocrinology, and metabolism at Eastern Virginia Medical School, Norfolk, said in an interview.

Dr. Khardori, who was not involved in the study, said he was not surprised by the current study findings.

“Type of food, amount of food, and quality of food have been stressed in diabetes management for more than 100 years,” he said. “Organizations charged with recommendations, such as the ADA and American Dietetic Association, have regularly updated their recommendations,” he noted. “It was not surprising, therefore, to find food insecurity and low quality tied to poor glycemic control.”

The take-home message for clinicians is to consider the availability and quality of food that their patients are exposed to when evaluating barriers to proper glycemic control, Dr. Khardori emphasized.

However, additional research is needed to explore whether the prescription of a sufficient amount of good quality food would alleviate the adverse impact seen in the current study, he said.

The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. The researchers and Dr. Khardori had no financial conflicts to disclose.

People with diabetes who had a poor-quality diet and food insecurity were significantly more likely to have poor glycemic and cholesterol control than were those with a healthier diet and food security, based on data from a national study of more than 2,000 individuals.

The American Diabetes Association recommends a high-quality diet for people with diabetes (PWD) to achieve treatment goals; however, roughly 18% of PWD in the United States are food insecure and/or have a poor-quality diet, Sarah S. Casagrande, PhD, of DLH Corporation, Silver Spring, Md., and colleagues wrote in a poster presented at the annual scientific sessions of the ADA in New Orleans.

To examine the impact of food insecurity and diet quality on diabetes and lipid management, the researchers reviewed data from 2,075 adults with self-reported diabetes who completed the National Health and Nutrition Examination Surveys between 2013 and 2018.

Diet quality was divided into quartiles based on the 2015 Healthy Eating Index. Food insecurity was assessed using a standard 10-item questionnaire including questions about running out of food and not being able to afford more, reducing meal sizes, eating less or not at all, and going hungry because of lack of money for food.

The logistic regression analysis controlled for factors including sociodemographics, health care use, smoking, diabetes medications, blood pressure medication use, cholesterol medication use, and body mass index.

Overall, 17.6% of the participants were food insecure and had a low-quality diet, 14.2% were food insecure with a high-quality diet, 33.1% were food secure with a low-quality diet, and 35.2% were food secure with a high-quality diet.

PWD in the food insecure/low-quality diet group were significantly more likely to be younger, non-Hispanic black or Hispanic, and uninsured compared to those in the food secure/high-quality diet group (P < .001 for all).

When the researchers examined glycemic control, they found that PWD in the food insecurity/low-quality diet groups were significantly more likely than were those with food security/high-quality diets to have hemoglobin A1c of at least 7.0% (adjusted odds ratio, 1.85), A1c of at least 8.0% (aOR, 1.79), low HDL cholesterol (aOR, 1.69), and high triglycerides (aOR, 3.26).

PWD with food insecurity but a high-quality diet also were significantly more likely than were those with food security and a high quality diet to have A1c of at least 7.0% (aOR, 1.69), A1c of at least 8.0% (aOR, 1.83), and high triglycerides (aOR, 2.44). PWD with food security but a low-quality diet were significantly more likely than was the food security/high-quality diet group to have A1c of at least 7% (aOR, 1.55).

The study findings were limited by several factors including the cross-sectional design, reliance on self-reports, and inability to distinguish between type 1 and type 2 diabetes, the researchers wrote.

However, the results were strengthened by the large, nationally representative sample and the inclusion of multiple clinical outcomes in the patient assessment, they said.

The results suggest that food insecurity had a significant impact on both glycemic control and cholesterol management independent of diet quality, the researchers noted. Based on these findings, health care providers treating PWD may wish to assess their patients’ food security status, and “interventions could address disparities in food security,” they concluded.
 

Food insecurity a growing problem

“With more communities being pushed into state of war, drought, and famine globally, it is important to track impact of food insecurity and low quality food on common medical conditions like diabetes in our vulnerable communities,” Romesh K. Khardori, MD, professor of medicine: endocrinology, and metabolism at Eastern Virginia Medical School, Norfolk, said in an interview.

Dr. Khardori, who was not involved in the study, said he was not surprised by the current study findings.

“Type of food, amount of food, and quality of food have been stressed in diabetes management for more than 100 years,” he said. “Organizations charged with recommendations, such as the ADA and American Dietetic Association, have regularly updated their recommendations,” he noted. “It was not surprising, therefore, to find food insecurity and low quality tied to poor glycemic control.”

The take-home message for clinicians is to consider the availability and quality of food that their patients are exposed to when evaluating barriers to proper glycemic control, Dr. Khardori emphasized.

However, additional research is needed to explore whether the prescription of a sufficient amount of good quality food would alleviate the adverse impact seen in the current study, he said.

The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. The researchers and Dr. Khardori had no financial conflicts to disclose.

Life expectancy in the United States plateaued in recent years, and persistent racial disparities vary by state, according to an analysis of death records and Census data from 1990 to 2019.

“Life expectancy is an important measure of the health of the entire population,” corresponding author Gregory Roth, MD, a cardiologist at the University of Washington, Seattle, said in an interview. “We know race, ethnicity and where you live all affect health, but we wanted to look at the long arc over many decades to understand where subpopulations have been, and where they are headed. Also, it is important to understand how race and place interact, so we looked at race/ethnicity groups within each state to see where disparities exist that need to be addressed.”

In the study, published in Annals of Internal Medicine, researchers led by Catherine O. Johnson, PhD, of the University of Washington, Seattle, reviewed data from 23 states, using regression models based on Census data and deidentified death records. They examined life expectancy for subgroups of individuals reporting Hispanic, non-Hispanic Black, or non-Hispanic White race or ethnicity.

Overall, most states showed an improvement in life expectancy between 1990 and 2019. For women, the mean life expectancy across states increased from 79.3 years in 1990 to 81.3 years in 2019. For men, the mean life expectancy across states increased from 72.6 years in 1990 to 76.3 years in 2019.

However, the researchers found significant disparities across the three racial subgroups between and within states when life expectancy was examined by race/ethnicity, independent of the average life expectancy for an entire state overall. They defined disparity as the difference in life expectancy between states for those in different racial/ethnic groups.

Without considering race/ethnicity, disparities in life expectancy across states decreased from 8.0 years and 12.2 years in 1990 to 7.9 and 7.8 years in 2019, for females and males, respectively.

When race/ethnicity was taken into account, disparities in life expectancy decreased, but the differences across states were greater than when race was not considered; 20.7 years for females and 24.5 years for males in 1990, decreasing to 18.5 years for females and 23.7 years for males in 2019.

Despite the overall improvements, disparities in life expectancy persisted across all states within each race/ethnicity group.

Among females, for example, non-Hispanic Black females had the lowest mean life expectancy across states in 1990 (74.2 years) but had the greatest improvement on average (6.9% increase) by 2019. However, the mean LE for non-Hispanic Black females remained lower than it did for non-Hispanic White and Hispanic females.

Among males, the researchers found differences in life expectancies across states between the people of the three different ethnicities they studied. The greatest difference in life expectancies in 1990 was 24.5 years. This occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Georgia. The life expectancy for these non-Hispanic Black males was 59.4 years, versus 83.8 years for these Hispanic males that year.

This reduced life expectancy for non-Hispanic Black males persisted, although it improved slightly by 2019. That year, the largest race-based disparity – which was approximately 24 years – occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Virginia. For the Hispanic males in Virgina, the LE was 90.7 years versus 66.9 years for non-Hispanic Black males in the District of Columbia.

The findings were limited by several factors including the review of data from only 23 states, the focus on life expectancy from birth versus other ages, and the challenges of defining Hispanic ethnicity, the researchers noted. However, the results support that the potential use of state-level analysis that includes race/ethnicity could be a valuable tool for measuring health inequity as part of national average trends, they said.
 

Health has truly stagnated for some in certain states

“Subpopulations in some states have much longer life expectancy now than 30 years ago. But in some states, we were struck by how health has truly stagnated for some,” Dr. Roth said in an interview. “We were surprised by the scale of the overall gap; a difference of about 8 years between states is more than twice that if you drill down to race/ethnicity groups in each state.”

A key message from the study is the need for all clinicians to advocate for improved access to primary care, “which is increasingly hard to obtain for many people,” said Dr. Roth. “So much of health is determined by key risk factors such as high blood pressure, high cholesterol, obesity, diabetes, alcohol use, tobacco use. But many of the determinants of health are not in the healthcare system, and include efforts to improve education, interrupt cycles of poverty, and teach healthy behaviors at a very young age. “Racism remains a underdiscussed part of these disparities, and we need better ways to measure the impact of social policies that end up impacting health down the road,” he said.

Looking ahead: “There is a lot to be learned from the states that have improved life expectancy the most. We need researchers to work together to identify and communicate what are those best practices, and what state governments can do to play their part.”

State-level differences reveal variations in health care

“The findings add to our growing knowledge of large and persistent racial/ethnic health disparities and changes in disparities during recent stagnation in U.S. life expectancy,” wrote Hedwig Lee, PhD, of Washington University in St. Louis, and Kathleen M. Harris, PhD, of the University of North Carolina at Chapel Hill, in an accompanying editorial.

The focus on state-level differences provides a unique window into the huge variation in life expectancy by race/ethnicity across the United States. The data suggest that “a person’s life expectancy in the United States may depend more on where you live than it has in the past,” they noted. For example, the editorialists highlighted that life expectancy for non-Hispanic Black men in 2019 averaged 81.1 years in Rhode Island, but 66.9 years in the District of Columbia.

They also noted the study’s lack of data for many states with high mortality rates and high proportions of non-Hispanic Black persons, Hispanic persons, and those with low socioeconomic states. Including data from these areas may have yielded even greater disparities in life expectancy.

“Despite substantial declines in mortality among Black persons during the study period, a non-Hispanic Black person’s life expectancy remained persistently lower than that of non-Hispanic White and Hispanic persons, both within and across states,” the editorialists wrote. “Future research needs to unpack the complex web of factors driving health and well-being by enabling better understanding of the places where we see persistent health disadvantage and advantage and the state-based explanations for these increasingly important differences determining population risk and resilience. We should be outraged by disparities in longevity and called to act to eliminate them.”
 

Identifying the problem is the first step

“In order to address or fix a problem we should first identify and quantify the problem,” Noel Deep, MD, an internal medicine physician in private practice in Antigo, Wisc., said in an interview.

“This study provides us with the information regarding the trends in life expectancy within states and the disparities in life expectancy when race/ ethnicity and gender are factored into the equation,” said Dr. Deep, who was not involved in the study. “Based on previously available data, we are aware of the increase in life expectancy in the United States over the last few decades, as well as differences in life expectancy for the different ethnicities/races and genders, but these data provide averages, not state or geographical differences. By having this knowledge at a state level, we can use that data to make health policies that address those health inequities and allocate appropriate resources at a state or local level.”

Several studies have identified disparities in health care and life expectancy based on the zip codes, such as the U.S. Small-Area Life Expectancy Estimates Project in 2018. The current study “provides further information for health care professionals and policy makers about the disparities in health outcomes and life expectancy based on race as well as gender, and it is quite detailed,” he said. 

“As clinicians, we should strive to ensure that we are addressing these health inequities through our provision of clinical care and through our advocacy on behalf of our patients so that our nation’s health will improve overall,” he said.

“I would like to see future studies look at the socioeconomic status (income), urban versus rural residence, and place of birth (especially for immigrants),” said Dr. Deep. He also emphasized a need for studies to include the demographics for Hispanic populations; given the possible selection error “because of only healthy individuals immigrating to the United States or the older sicker Hispanics who might be migrating back to their homelands and not being included in the data and falsely increasing the life expectancy for this race/ ethnic groups.

“I would also like to see some research into the cultural and social factors that might explain why Hispanic populations might have a higher life expectancy even if their socioeconomic status is poor,” he said.

The study was supported by the National Heart, Lung, and Blood Institute. The researchers had no financial conflicts to disclose. The editorialists had no financial conflicts to disclose. Dr. Deep had no financial conflicts to disclose, but serves on the editorial advisory board of Internal Medicine News and as chair of the AMA’s Council on Science and Public Health.

Life expectancy in the United States plateaued in recent years, and persistent racial disparities vary by state, according to an analysis of death records and Census data from 1990 to 2019.

“Life expectancy is an important measure of the health of the entire population,” corresponding author Gregory Roth, MD, a cardiologist at the University of Washington, Seattle, said in an interview. “We know race, ethnicity and where you live all affect health, but we wanted to look at the long arc over many decades to understand where subpopulations have been, and where they are headed. Also, it is important to understand how race and place interact, so we looked at race/ethnicity groups within each state to see where disparities exist that need to be addressed.”

In the study, published in Annals of Internal Medicine, researchers led by Catherine O. Johnson, PhD, of the University of Washington, Seattle, reviewed data from 23 states, using regression models based on Census data and deidentified death records. They examined life expectancy for subgroups of individuals reporting Hispanic, non-Hispanic Black, or non-Hispanic White race or ethnicity.

Overall, most states showed an improvement in life expectancy between 1990 and 2019. For women, the mean life expectancy across states increased from 79.3 years in 1990 to 81.3 years in 2019. For men, the mean life expectancy across states increased from 72.6 years in 1990 to 76.3 years in 2019.

However, the researchers found significant disparities across the three racial subgroups between and within states when life expectancy was examined by race/ethnicity, independent of the average life expectancy for an entire state overall. They defined disparity as the difference in life expectancy between states for those in different racial/ethnic groups.

Without considering race/ethnicity, disparities in life expectancy across states decreased from 8.0 years and 12.2 years in 1990 to 7.9 and 7.8 years in 2019, for females and males, respectively.

When race/ethnicity was taken into account, disparities in life expectancy decreased, but the differences across states were greater than when race was not considered; 20.7 years for females and 24.5 years for males in 1990, decreasing to 18.5 years for females and 23.7 years for males in 2019.

Despite the overall improvements, disparities in life expectancy persisted across all states within each race/ethnicity group.

Among females, for example, non-Hispanic Black females had the lowest mean life expectancy across states in 1990 (74.2 years) but had the greatest improvement on average (6.9% increase) by 2019. However, the mean LE for non-Hispanic Black females remained lower than it did for non-Hispanic White and Hispanic females.

Among males, the researchers found differences in life expectancies across states between the people of the three different ethnicities they studied. The greatest difference in life expectancies in 1990 was 24.5 years. This occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Georgia. The life expectancy for these non-Hispanic Black males was 59.4 years, versus 83.8 years for these Hispanic males that year.

This reduced life expectancy for non-Hispanic Black males persisted, although it improved slightly by 2019. That year, the largest race-based disparity – which was approximately 24 years – occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Virginia. For the Hispanic males in Virgina, the LE was 90.7 years versus 66.9 years for non-Hispanic Black males in the District of Columbia.

The findings were limited by several factors including the review of data from only 23 states, the focus on life expectancy from birth versus other ages, and the challenges of defining Hispanic ethnicity, the researchers noted. However, the results support that the potential use of state-level analysis that includes race/ethnicity could be a valuable tool for measuring health inequity as part of national average trends, they said.
 

Health has truly stagnated for some in certain states

“Subpopulations in some states have much longer life expectancy now than 30 years ago. But in some states, we were struck by how health has truly stagnated for some,” Dr. Roth said in an interview. “We were surprised by the scale of the overall gap; a difference of about 8 years between states is more than twice that if you drill down to race/ethnicity groups in each state.”

A key message from the study is the need for all clinicians to advocate for improved access to primary care, “which is increasingly hard to obtain for many people,” said Dr. Roth. “So much of health is determined by key risk factors such as high blood pressure, high cholesterol, obesity, diabetes, alcohol use, tobacco use. But many of the determinants of health are not in the healthcare system, and include efforts to improve education, interrupt cycles of poverty, and teach healthy behaviors at a very young age. “Racism remains a underdiscussed part of these disparities, and we need better ways to measure the impact of social policies that end up impacting health down the road,” he said.

Looking ahead: “There is a lot to be learned from the states that have improved life expectancy the most. We need researchers to work together to identify and communicate what are those best practices, and what state governments can do to play their part.”

State-level differences reveal variations in health care

“The findings add to our growing knowledge of large and persistent racial/ethnic health disparities and changes in disparities during recent stagnation in U.S. life expectancy,” wrote Hedwig Lee, PhD, of Washington University in St. Louis, and Kathleen M. Harris, PhD, of the University of North Carolina at Chapel Hill, in an accompanying editorial.

The focus on state-level differences provides a unique window into the huge variation in life expectancy by race/ethnicity across the United States. The data suggest that “a person’s life expectancy in the United States may depend more on where you live than it has in the past,” they noted. For example, the editorialists highlighted that life expectancy for non-Hispanic Black men in 2019 averaged 81.1 years in Rhode Island, but 66.9 years in the District of Columbia.

They also noted the study’s lack of data for many states with high mortality rates and high proportions of non-Hispanic Black persons, Hispanic persons, and those with low socioeconomic states. Including data from these areas may have yielded even greater disparities in life expectancy.

“Despite substantial declines in mortality among Black persons during the study period, a non-Hispanic Black person’s life expectancy remained persistently lower than that of non-Hispanic White and Hispanic persons, both within and across states,” the editorialists wrote. “Future research needs to unpack the complex web of factors driving health and well-being by enabling better understanding of the places where we see persistent health disadvantage and advantage and the state-based explanations for these increasingly important differences determining population risk and resilience. We should be outraged by disparities in longevity and called to act to eliminate them.”
 

Identifying the problem is the first step

“In order to address or fix a problem we should first identify and quantify the problem,” Noel Deep, MD, an internal medicine physician in private practice in Antigo, Wisc., said in an interview.

“This study provides us with the information regarding the trends in life expectancy within states and the disparities in life expectancy when race/ ethnicity and gender are factored into the equation,” said Dr. Deep, who was not involved in the study. “Based on previously available data, we are aware of the increase in life expectancy in the United States over the last few decades, as well as differences in life expectancy for the different ethnicities/races and genders, but these data provide averages, not state or geographical differences. By having this knowledge at a state level, we can use that data to make health policies that address those health inequities and allocate appropriate resources at a state or local level.”

Several studies have identified disparities in health care and life expectancy based on the zip codes, such as the U.S. Small-Area Life Expectancy Estimates Project in 2018. The current study “provides further information for health care professionals and policy makers about the disparities in health outcomes and life expectancy based on race as well as gender, and it is quite detailed,” he said. 

“As clinicians, we should strive to ensure that we are addressing these health inequities through our provision of clinical care and through our advocacy on behalf of our patients so that our nation’s health will improve overall,” he said.

“I would like to see future studies look at the socioeconomic status (income), urban versus rural residence, and place of birth (especially for immigrants),” said Dr. Deep. He also emphasized a need for studies to include the demographics for Hispanic populations; given the possible selection error “because of only healthy individuals immigrating to the United States or the older sicker Hispanics who might be migrating back to their homelands and not being included in the data and falsely increasing the life expectancy for this race/ ethnic groups.

“I would also like to see some research into the cultural and social factors that might explain why Hispanic populations might have a higher life expectancy even if their socioeconomic status is poor,” he said.

The study was supported by the National Heart, Lung, and Blood Institute. The researchers had no financial conflicts to disclose. The editorialists had no financial conflicts to disclose. Dr. Deep had no financial conflicts to disclose, but serves on the editorial advisory board of Internal Medicine News and as chair of the AMA’s Council on Science and Public Health.

Life expectancy in the United States plateaued in recent years, and persistent racial disparities vary by state, according to an analysis of death records and Census data from 1990 to 2019.

“Life expectancy is an important measure of the health of the entire population,” corresponding author Gregory Roth, MD, a cardiologist at the University of Washington, Seattle, said in an interview. “We know race, ethnicity and where you live all affect health, but we wanted to look at the long arc over many decades to understand where subpopulations have been, and where they are headed. Also, it is important to understand how race and place interact, so we looked at race/ethnicity groups within each state to see where disparities exist that need to be addressed.”

In the study, published in Annals of Internal Medicine, researchers led by Catherine O. Johnson, PhD, of the University of Washington, Seattle, reviewed data from 23 states, using regression models based on Census data and deidentified death records. They examined life expectancy for subgroups of individuals reporting Hispanic, non-Hispanic Black, or non-Hispanic White race or ethnicity.

Overall, most states showed an improvement in life expectancy between 1990 and 2019. For women, the mean life expectancy across states increased from 79.3 years in 1990 to 81.3 years in 2019. For men, the mean life expectancy across states increased from 72.6 years in 1990 to 76.3 years in 2019.

However, the researchers found significant disparities across the three racial subgroups between and within states when life expectancy was examined by race/ethnicity, independent of the average life expectancy for an entire state overall. They defined disparity as the difference in life expectancy between states for those in different racial/ethnic groups.

Without considering race/ethnicity, disparities in life expectancy across states decreased from 8.0 years and 12.2 years in 1990 to 7.9 and 7.8 years in 2019, for females and males, respectively.

When race/ethnicity was taken into account, disparities in life expectancy decreased, but the differences across states were greater than when race was not considered; 20.7 years for females and 24.5 years for males in 1990, decreasing to 18.5 years for females and 23.7 years for males in 2019.

Despite the overall improvements, disparities in life expectancy persisted across all states within each race/ethnicity group.

Among females, for example, non-Hispanic Black females had the lowest mean life expectancy across states in 1990 (74.2 years) but had the greatest improvement on average (6.9% increase) by 2019. However, the mean LE for non-Hispanic Black females remained lower than it did for non-Hispanic White and Hispanic females.

Among males, the researchers found differences in life expectancies across states between the people of the three different ethnicities they studied. The greatest difference in life expectancies in 1990 was 24.5 years. This occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Georgia. The life expectancy for these non-Hispanic Black males was 59.4 years, versus 83.8 years for these Hispanic males that year.

This reduced life expectancy for non-Hispanic Black males persisted, although it improved slightly by 2019. That year, the largest race-based disparity – which was approximately 24 years – occurred between non-Hispanic Black males in the District of Columbia and Hispanic males in Virginia. For the Hispanic males in Virgina, the LE was 90.7 years versus 66.9 years for non-Hispanic Black males in the District of Columbia.

The findings were limited by several factors including the review of data from only 23 states, the focus on life expectancy from birth versus other ages, and the challenges of defining Hispanic ethnicity, the researchers noted. However, the results support that the potential use of state-level analysis that includes race/ethnicity could be a valuable tool for measuring health inequity as part of national average trends, they said.
 

Health has truly stagnated for some in certain states

“Subpopulations in some states have much longer life expectancy now than 30 years ago. But in some states, we were struck by how health has truly stagnated for some,” Dr. Roth said in an interview. “We were surprised by the scale of the overall gap; a difference of about 8 years between states is more than twice that if you drill down to race/ethnicity groups in each state.”

A key message from the study is the need for all clinicians to advocate for improved access to primary care, “which is increasingly hard to obtain for many people,” said Dr. Roth. “So much of health is determined by key risk factors such as high blood pressure, high cholesterol, obesity, diabetes, alcohol use, tobacco use. But many of the determinants of health are not in the healthcare system, and include efforts to improve education, interrupt cycles of poverty, and teach healthy behaviors at a very young age. “Racism remains a underdiscussed part of these disparities, and we need better ways to measure the impact of social policies that end up impacting health down the road,” he said.

Looking ahead: “There is a lot to be learned from the states that have improved life expectancy the most. We need researchers to work together to identify and communicate what are those best practices, and what state governments can do to play their part.”

State-level differences reveal variations in health care

“The findings add to our growing knowledge of large and persistent racial/ethnic health disparities and changes in disparities during recent stagnation in U.S. life expectancy,” wrote Hedwig Lee, PhD, of Washington University in St. Louis, and Kathleen M. Harris, PhD, of the University of North Carolina at Chapel Hill, in an accompanying editorial.

The focus on state-level differences provides a unique window into the huge variation in life expectancy by race/ethnicity across the United States. The data suggest that “a person’s life expectancy in the United States may depend more on where you live than it has in the past,” they noted. For example, the editorialists highlighted that life expectancy for non-Hispanic Black men in 2019 averaged 81.1 years in Rhode Island, but 66.9 years in the District of Columbia.

They also noted the study’s lack of data for many states with high mortality rates and high proportions of non-Hispanic Black persons, Hispanic persons, and those with low socioeconomic states. Including data from these areas may have yielded even greater disparities in life expectancy.

“Despite substantial declines in mortality among Black persons during the study period, a non-Hispanic Black person’s life expectancy remained persistently lower than that of non-Hispanic White and Hispanic persons, both within and across states,” the editorialists wrote. “Future research needs to unpack the complex web of factors driving health and well-being by enabling better understanding of the places where we see persistent health disadvantage and advantage and the state-based explanations for these increasingly important differences determining population risk and resilience. We should be outraged by disparities in longevity and called to act to eliminate them.”
 

Identifying the problem is the first step

“In order to address or fix a problem we should first identify and quantify the problem,” Noel Deep, MD, an internal medicine physician in private practice in Antigo, Wisc., said in an interview.

“This study provides us with the information regarding the trends in life expectancy within states and the disparities in life expectancy when race/ ethnicity and gender are factored into the equation,” said Dr. Deep, who was not involved in the study. “Based on previously available data, we are aware of the increase in life expectancy in the United States over the last few decades, as well as differences in life expectancy for the different ethnicities/races and genders, but these data provide averages, not state or geographical differences. By having this knowledge at a state level, we can use that data to make health policies that address those health inequities and allocate appropriate resources at a state or local level.”

Several studies have identified disparities in health care and life expectancy based on the zip codes, such as the U.S. Small-Area Life Expectancy Estimates Project in 2018. The current study “provides further information for health care professionals and policy makers about the disparities in health outcomes and life expectancy based on race as well as gender, and it is quite detailed,” he said. 

“As clinicians, we should strive to ensure that we are addressing these health inequities through our provision of clinical care and through our advocacy on behalf of our patients so that our nation’s health will improve overall,” he said.

“I would like to see future studies look at the socioeconomic status (income), urban versus rural residence, and place of birth (especially for immigrants),” said Dr. Deep. He also emphasized a need for studies to include the demographics for Hispanic populations; given the possible selection error “because of only healthy individuals immigrating to the United States or the older sicker Hispanics who might be migrating back to their homelands and not being included in the data and falsely increasing the life expectancy for this race/ ethnic groups.

“I would also like to see some research into the cultural and social factors that might explain why Hispanic populations might have a higher life expectancy even if their socioeconomic status is poor,” he said.

The study was supported by the National Heart, Lung, and Blood Institute. The researchers had no financial conflicts to disclose. The editorialists had no financial conflicts to disclose. Dr. Deep had no financial conflicts to disclose, but serves on the editorial advisory board of Internal Medicine News and as chair of the AMA’s Council on Science and Public Health.

Experiencing cyberbullying as a victim was a significant risk factor for suicidality in early adolescents aged 10-13 years, based on data from more than 10,000 individuals.

Adolescent suicidality, defined as suicidal ideation or suicide attempts, remains a major public health issue, Shay Arnon, MA, of Reichman University, Herzliya, Israel, and colleagues wrote.

Although cyberbullying experiences and perpetration have been associated with mental health issues, their roles as specific suicidality risk factors have not been explored, they said.

In a study published in JAMA Network Open, the researchers analyzed data on cyberbullying experiences collected between July 2018 and January 2021 as part of the Adolescent Brain Cognitive Development (ABCD) study, with a diverse population of young adolescents aged 10-13 years.

The study population included 10,414 participants; the mean age was 12 years, 47.6% were female.

Overall, 7.6% of the participants had reported suicidality during the study period. A total of 930 (8.9%) reported experiencing cyberbullying as victims, and 96 (0.9%) reported perpetrating cyberbullying; 66 (69%) of the perpetrators also experienced cyberbullying.

Experiencing cyberbullying was associated with a fourfold increased risk of suicidality (odds ratio, 4.2), that remained significant after controlling for factors including demographics and multiple environmental risk and protective factors, including negative life events, family conflict, parental monitoring, school environment, and racial/ethnic discrimination (OR, 2.5), and after controlling for internalizing and externalizing psychopathology (OR, 1.8).

Adolescents who were both target and perpetrator of offline peer aggression had an increased risk of suicidality (OR, 1.5 for both), and cyberbullying experiences also remained associated with suicidality when included with offline bullying as target and perpetrator (OR, 1.7).

The results contradict previous studies showing an increased risk of suicidality in cyberbullying perpetrators as well as victims, the researchers noted. Some possible reasons for this difference are the anonymity of many cyberbullying perpetrators, and the tendency of many adolescents on social media to make quick-turn comments without thinking of their actions as offensive to others.

The study findings were limited by several factors including the cross-sectional design, which prevented conclusions about causality, a low-resolution screening for cyberbullying experiences, and the effect of unmeasured confounding variables, the researchers noted. Other limitations include the collection of data before the COVID-19 pandemic, so the effects of the pandemic on peer online communication and cyberbullying could not be determined.

However, the results suggest that experiencing cyberbullying is significantly associated with suicidality in young adolescents independent of other peer aggression experiences. “Assessment of cyberbullying experiences among children and adolescents should be a component of the comprehensive suicide risk assessment,” they concluded.
 

Pandemic pushed existing cyberbullying problems

“Electronic media use has increased significantly in the early adolescent demographic, particularly during the COVID-19 pandemic,” Peter L. Loper Jr., MD, of the University of South Carolina, Columbia, said in an interview.

“In many cases, the majority of an adolescent’s peer-peer interactions are now occurring on electronic devices. This has dramatically increased the incidence and prevalence of cyberbullying, making this study very timely and relevant,” said Dr. Loper, who was not involved in the study.

“From an experiential, ethnographic standpoint working on a psychiatric acute crisis stabilization unit, we have consistently recognized cyberbullying as a common and frequent etiology of suicidal ideation or attempt in the adolescents admitted to our unit,” said Dr. Loper. 

“Unfortunately, much of the peer-peer interactions vital to supporting healthy adolescent development are now occurring on electronic devices instead of real-time and in person,” said Dr. Loper. “This comes with great risk to our adolescents and makes them susceptible to multiple potential dangers, not the least of which is cyberbullying.

“The biggest challenge in mitigating the impact of cyberbullying is that most adolescences want to have access to electronic media,” he said. “Limiting adolescents’ access to electronic media, and monitoring adolescents’ electronic media use are vital steps to preventing cyberbullying. Apps such as ‘Bark’ can used by parents to monitor their adolescents’ electronic media activity to ensure their safety and well-being.”

Additional research is needed to focus on other areas in which electronic media use may be affecting adolescents’ social, emotional, and psychological well-being and development, “which will become more and more important as electronic media use in this demographic continues to increase,” Dr. Loper said.

The study was supported by the National Institute of Mental Health and the Lifespan Brain Institute of Children’s Hospital of Philadelphia and Penn Medicine, University of Pennsylvania. The researchers had no financial conflicts to disclose. Dr. Loper had no financial conflicts to disclose.

Experiencing cyberbullying as a victim was a significant risk factor for suicidality in early adolescents aged 10-13 years, based on data from more than 10,000 individuals.

Adolescent suicidality, defined as suicidal ideation or suicide attempts, remains a major public health issue, Shay Arnon, MA, of Reichman University, Herzliya, Israel, and colleagues wrote.

Although cyberbullying experiences and perpetration have been associated with mental health issues, their roles as specific suicidality risk factors have not been explored, they said.

In a study published in JAMA Network Open, the researchers analyzed data on cyberbullying experiences collected between July 2018 and January 2021 as part of the Adolescent Brain Cognitive Development (ABCD) study, with a diverse population of young adolescents aged 10-13 years.

The study population included 10,414 participants; the mean age was 12 years, 47.6% were female.

Overall, 7.6% of the participants had reported suicidality during the study period. A total of 930 (8.9%) reported experiencing cyberbullying as victims, and 96 (0.9%) reported perpetrating cyberbullying; 66 (69%) of the perpetrators also experienced cyberbullying.

Experiencing cyberbullying was associated with a fourfold increased risk of suicidality (odds ratio, 4.2), that remained significant after controlling for factors including demographics and multiple environmental risk and protective factors, including negative life events, family conflict, parental monitoring, school environment, and racial/ethnic discrimination (OR, 2.5), and after controlling for internalizing and externalizing psychopathology (OR, 1.8).

Adolescents who were both target and perpetrator of offline peer aggression had an increased risk of suicidality (OR, 1.5 for both), and cyberbullying experiences also remained associated with suicidality when included with offline bullying as target and perpetrator (OR, 1.7).

The results contradict previous studies showing an increased risk of suicidality in cyberbullying perpetrators as well as victims, the researchers noted. Some possible reasons for this difference are the anonymity of many cyberbullying perpetrators, and the tendency of many adolescents on social media to make quick-turn comments without thinking of their actions as offensive to others.

The study findings were limited by several factors including the cross-sectional design, which prevented conclusions about causality, a low-resolution screening for cyberbullying experiences, and the effect of unmeasured confounding variables, the researchers noted. Other limitations include the collection of data before the COVID-19 pandemic, so the effects of the pandemic on peer online communication and cyberbullying could not be determined.

However, the results suggest that experiencing cyberbullying is significantly associated with suicidality in young adolescents independent of other peer aggression experiences. “Assessment of cyberbullying experiences among children and adolescents should be a component of the comprehensive suicide risk assessment,” they concluded.
 

Pandemic pushed existing cyberbullying problems

“Electronic media use has increased significantly in the early adolescent demographic, particularly during the COVID-19 pandemic,” Peter L. Loper Jr., MD, of the University of South Carolina, Columbia, said in an interview.

“In many cases, the majority of an adolescent’s peer-peer interactions are now occurring on electronic devices. This has dramatically increased the incidence and prevalence of cyberbullying, making this study very timely and relevant,” said Dr. Loper, who was not involved in the study.

“From an experiential, ethnographic standpoint working on a psychiatric acute crisis stabilization unit, we have consistently recognized cyberbullying as a common and frequent etiology of suicidal ideation or attempt in the adolescents admitted to our unit,” said Dr. Loper. 

“Unfortunately, much of the peer-peer interactions vital to supporting healthy adolescent development are now occurring on electronic devices instead of real-time and in person,” said Dr. Loper. “This comes with great risk to our adolescents and makes them susceptible to multiple potential dangers, not the least of which is cyberbullying.

“The biggest challenge in mitigating the impact of cyberbullying is that most adolescences want to have access to electronic media,” he said. “Limiting adolescents’ access to electronic media, and monitoring adolescents’ electronic media use are vital steps to preventing cyberbullying. Apps such as ‘Bark’ can used by parents to monitor their adolescents’ electronic media activity to ensure their safety and well-being.”

Additional research is needed to focus on other areas in which electronic media use may be affecting adolescents’ social, emotional, and psychological well-being and development, “which will become more and more important as electronic media use in this demographic continues to increase,” Dr. Loper said.

The study was supported by the National Institute of Mental Health and the Lifespan Brain Institute of Children’s Hospital of Philadelphia and Penn Medicine, University of Pennsylvania. The researchers had no financial conflicts to disclose. Dr. Loper had no financial conflicts to disclose.

Experiencing cyberbullying as a victim was a significant risk factor for suicidality in early adolescents aged 10-13 years, based on data from more than 10,000 individuals.

Adolescent suicidality, defined as suicidal ideation or suicide attempts, remains a major public health issue, Shay Arnon, MA, of Reichman University, Herzliya, Israel, and colleagues wrote.

Although cyberbullying experiences and perpetration have been associated with mental health issues, their roles as specific suicidality risk factors have not been explored, they said.

In a study published in JAMA Network Open, the researchers analyzed data on cyberbullying experiences collected between July 2018 and January 2021 as part of the Adolescent Brain Cognitive Development (ABCD) study, with a diverse population of young adolescents aged 10-13 years.

The study population included 10,414 participants; the mean age was 12 years, 47.6% were female.

Overall, 7.6% of the participants had reported suicidality during the study period. A total of 930 (8.9%) reported experiencing cyberbullying as victims, and 96 (0.9%) reported perpetrating cyberbullying; 66 (69%) of the perpetrators also experienced cyberbullying.

Experiencing cyberbullying was associated with a fourfold increased risk of suicidality (odds ratio, 4.2), that remained significant after controlling for factors including demographics and multiple environmental risk and protective factors, including negative life events, family conflict, parental monitoring, school environment, and racial/ethnic discrimination (OR, 2.5), and after controlling for internalizing and externalizing psychopathology (OR, 1.8).

Adolescents who were both target and perpetrator of offline peer aggression had an increased risk of suicidality (OR, 1.5 for both), and cyberbullying experiences also remained associated with suicidality when included with offline bullying as target and perpetrator (OR, 1.7).

The results contradict previous studies showing an increased risk of suicidality in cyberbullying perpetrators as well as victims, the researchers noted. Some possible reasons for this difference are the anonymity of many cyberbullying perpetrators, and the tendency of many adolescents on social media to make quick-turn comments without thinking of their actions as offensive to others.

The study findings were limited by several factors including the cross-sectional design, which prevented conclusions about causality, a low-resolution screening for cyberbullying experiences, and the effect of unmeasured confounding variables, the researchers noted. Other limitations include the collection of data before the COVID-19 pandemic, so the effects of the pandemic on peer online communication and cyberbullying could not be determined.

However, the results suggest that experiencing cyberbullying is significantly associated with suicidality in young adolescents independent of other peer aggression experiences. “Assessment of cyberbullying experiences among children and adolescents should be a component of the comprehensive suicide risk assessment,” they concluded.
 

Pandemic pushed existing cyberbullying problems

“Electronic media use has increased significantly in the early adolescent demographic, particularly during the COVID-19 pandemic,” Peter L. Loper Jr., MD, of the University of South Carolina, Columbia, said in an interview.

“In many cases, the majority of an adolescent’s peer-peer interactions are now occurring on electronic devices. This has dramatically increased the incidence and prevalence of cyberbullying, making this study very timely and relevant,” said Dr. Loper, who was not involved in the study.

“From an experiential, ethnographic standpoint working on a psychiatric acute crisis stabilization unit, we have consistently recognized cyberbullying as a common and frequent etiology of suicidal ideation or attempt in the adolescents admitted to our unit,” said Dr. Loper. 

“Unfortunately, much of the peer-peer interactions vital to supporting healthy adolescent development are now occurring on electronic devices instead of real-time and in person,” said Dr. Loper. “This comes with great risk to our adolescents and makes them susceptible to multiple potential dangers, not the least of which is cyberbullying.

“The biggest challenge in mitigating the impact of cyberbullying is that most adolescences want to have access to electronic media,” he said. “Limiting adolescents’ access to electronic media, and monitoring adolescents’ electronic media use are vital steps to preventing cyberbullying. Apps such as ‘Bark’ can used by parents to monitor their adolescents’ electronic media activity to ensure their safety and well-being.”

Additional research is needed to focus on other areas in which electronic media use may be affecting adolescents’ social, emotional, and psychological well-being and development, “which will become more and more important as electronic media use in this demographic continues to increase,” Dr. Loper said.

The study was supported by the National Institute of Mental Health and the Lifespan Brain Institute of Children’s Hospital of Philadelphia and Penn Medicine, University of Pennsylvania. The researchers had no financial conflicts to disclose. Dr. Loper had no financial conflicts to disclose.

Infertility, pregnancy loss, and stillbirth increased women’s later risk of both nonfatal and fatal stroke, based on data from more than 600,000 women.

“To date, multiple studies have generated an expanding body of evidence on the association between pregnancy complications (e.g., gestational diabetes and preeclampsia) and the long-term risk of stroke, but studies on associations with infertility, miscarriage, or stillbirth have produced mixed evidence,” Chen Liang, a PhD candidate at the University of Queensland, Brisbane, Australia, and colleagues wrote.

In a study published in the BMJ, the researchers reviewed data from eight observational cohort studies across seven countries (Australia, China, Japan, the Netherlands, Sweden, the United Kingdom, and the United States). The participants were part of the InterLACE (International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events) consortium established in 2021. Most observational studies included in the analysis began between 1990 and 2000.

The study population included 618,851 women aged 32-73 years at baseline for whom data on infertility, miscarriage, or stillbirth, were available. The primary outcome was the association of infertility, recurrent miscarriage, and stillbirth with risk of first fatal or nonfatal stroke, and the results were further stratified by subtype. Stroke was identified through self-reports, linked hospital data, national patient registers, or death registry data. Baseline was defined as the first incidence of infertility, miscarriage, or stillbirth. The exception was the National Survey of Health and Development, a British birth cohort started in 1946, that collected data retrospectively.

The median follow-up period was 13 years for nonfatal stroke and 9.4 years for fatal stroke.

Overall, 17.2%, 16.6%, and 4.6% of the women experienced infertility, miscarriage, and stillbirth, respectively.

Women with a history of infertility had a significantly higher nonfatal stroke risk, compared with those without infertility (hazard ratio, 1.14). Further analysis by stroke subtypes showed an increased association between miscarriage and ischemic stroke (HR, 1.15).

Those with a history of miscarriage also had an increased risk of nonfatal stroke, compared with those without miscarriages (HR, 1.11). In the miscarriage group, the risk of stroke increased with the number of miscarriages, with adjusted HRs of 1.07, 1.12, and 1.35 for women with one, two, and three or more miscarriages, respectively. When stratified by stroke subtype, women with three or more miscarriages were more likely than women with no miscarriages to experience ischemic and hemorrhagic nonfatal strokes.

Associations were similar between miscarriage history and fatal stroke risk. Women with one, two, and three or more miscarriages had increased risk of fatal stroke, compared with those with no miscarriages (aHR, 1.08, 1.26, and 1.82, respectively, and women with three or more miscarriages had a higher risk of ischemic and hemorrhagic stroke (aHR, 1.83 and 1.84, respectively).

Women with a history of stillbirth had an approximately 31% increased risk of nonfatal stroke, compared with those with no history of stillbirth, with aHRs similar for single and recurrent stillbirths (1.32 and 1.29, respectively). Ischemic nonfatal stroke risk was higher in women with any stillbirth, compared with those without stillbirth (aHR, 1.77). Fatal stroke risk also was higher in women with any stillbirth, compared with those without, and this risk increased with the number of stillbirths (HR, 0.97 and HR, 1.26 for those with one stillbirth and two or more, respectively).

“The increased risk of stroke associated with infertility or recurrent stillbirths was mainly driven by a single subtype of stroke (nonfatal ischemic stroke or fatal hemorrhagic stroke, respectively), whereas the risk of stroke associated with recurrent miscarriages was driven by both subtypes,” the researchers wrote.

The researchers cited endothelial dysfunction as a potential underlying mechanism for increased stroke risk associated with pregnancy complications. “Endothelial dysfunction might lead to pregnancy loss through placentation-related defects, persist after a complicated pregnancy, and contribute to the development of stroke through reduced vasodilation, proinflammatory status, and prothrombic properties,” and that history of recurrent pregnancy loss might be a female-specific risk factor for stroke.

To mitigate this risk, they advised early monitoring of women with a history of recurrent miscarriages and stillbirths for stroke risk factors such as high blood pressure, blood sugar levels, and lipid levels.

The study findings were limited by several factors including the use of questionnaires to collect information on infertility, miscarriage, and stillbirth, and the potential variation in definitions of infertility, miscarriage, and stillbirth across the included studies, and a lack of data on the effect of different causes or treatments based on reproductive histories, the researchers noted. Other limitations include incomplete data on stroke subtypes and inability to adjust for all covariates such as thyroid disorders and endometriosis. However, the results were strengthened by the large study size and geographically and racially diverse population, extend the current knowledge on associations between infertility, miscarriage, and stillbirth with stroke, and highlight the need for more research on underlying mechanisms.
 

Data support gender-specific stroke risk stratification

“Studies that seek to understand gender differences and disparities in adverse outcomes, such as stroke risk, are extremely important given that women historically were excluded from research studies,” Catherine M. Albright, MD, of the University of Washington, Seattle, said in an interview. “By doing these studies, we are able to better risk stratify people in order to better predict and modify risks,” added Dr. Albright, who was not involved in the current study.

“It is well known than adverse pregnancy outcomes such as hypertension in pregnancy, fetal growth restriction, and preterm birth, lead to increased risk of cardiovascular disease and stroke later in life, so the general findings of an association between other adverse reproductive and pregnancy outcomes leads to increased stroke risk are not surprising,” she said.

“The take-home message is that outcomes for pregnancy really do provide a window to future health,” said Dr. Albright. “For clinicians, especially non-ob.gyns., knowing a complete pregnancy history for any new patient is important and can help risk-stratify patients, especially as we continue to gain knowledge like what is shown in this study.”

However, “this study did not evaluate why individual patients may have had infertility, recurrent pregnancy loss, or stillbirth, so research to look further into this association to determine if there is an underlying medical condition that could be treated and therefore possibly reduce both pregnancy complications and future stroke risks would be important,” Dr. Albright noted.

The study was supported by the Australian National Health and Medical Research Council Centres of Research Excellence; one corresponding author was supported by an Australian National Health and Medical Research Council Investigator grant. The researchers had no financial conflicts to disclose. Dr. Albright had no financial conflicts to disclose.

Infertility, pregnancy loss, and stillbirth increased women’s later risk of both nonfatal and fatal stroke, based on data from more than 600,000 women.

“To date, multiple studies have generated an expanding body of evidence on the association between pregnancy complications (e.g., gestational diabetes and preeclampsia) and the long-term risk of stroke, but studies on associations with infertility, miscarriage, or stillbirth have produced mixed evidence,” Chen Liang, a PhD candidate at the University of Queensland, Brisbane, Australia, and colleagues wrote.

In a study published in the BMJ, the researchers reviewed data from eight observational cohort studies across seven countries (Australia, China, Japan, the Netherlands, Sweden, the United Kingdom, and the United States). The participants were part of the InterLACE (International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events) consortium established in 2021. Most observational studies included in the analysis began between 1990 and 2000.

The study population included 618,851 women aged 32-73 years at baseline for whom data on infertility, miscarriage, or stillbirth, were available. The primary outcome was the association of infertility, recurrent miscarriage, and stillbirth with risk of first fatal or nonfatal stroke, and the results were further stratified by subtype. Stroke was identified through self-reports, linked hospital data, national patient registers, or death registry data. Baseline was defined as the first incidence of infertility, miscarriage, or stillbirth. The exception was the National Survey of Health and Development, a British birth cohort started in 1946, that collected data retrospectively.

The median follow-up period was 13 years for nonfatal stroke and 9.4 years for fatal stroke.

Overall, 17.2%, 16.6%, and 4.6% of the women experienced infertility, miscarriage, and stillbirth, respectively.

Women with a history of infertility had a significantly higher nonfatal stroke risk, compared with those without infertility (hazard ratio, 1.14). Further analysis by stroke subtypes showed an increased association between miscarriage and ischemic stroke (HR, 1.15).

Those with a history of miscarriage also had an increased risk of nonfatal stroke, compared with those without miscarriages (HR, 1.11). In the miscarriage group, the risk of stroke increased with the number of miscarriages, with adjusted HRs of 1.07, 1.12, and 1.35 for women with one, two, and three or more miscarriages, respectively. When stratified by stroke subtype, women with three or more miscarriages were more likely than women with no miscarriages to experience ischemic and hemorrhagic nonfatal strokes.

Associations were similar between miscarriage history and fatal stroke risk. Women with one, two, and three or more miscarriages had increased risk of fatal stroke, compared with those with no miscarriages (aHR, 1.08, 1.26, and 1.82, respectively, and women with three or more miscarriages had a higher risk of ischemic and hemorrhagic stroke (aHR, 1.83 and 1.84, respectively).

Women with a history of stillbirth had an approximately 31% increased risk of nonfatal stroke, compared with those with no history of stillbirth, with aHRs similar for single and recurrent stillbirths (1.32 and 1.29, respectively). Ischemic nonfatal stroke risk was higher in women with any stillbirth, compared with those without stillbirth (aHR, 1.77). Fatal stroke risk also was higher in women with any stillbirth, compared with those without, and this risk increased with the number of stillbirths (HR, 0.97 and HR, 1.26 for those with one stillbirth and two or more, respectively).

“The increased risk of stroke associated with infertility or recurrent stillbirths was mainly driven by a single subtype of stroke (nonfatal ischemic stroke or fatal hemorrhagic stroke, respectively), whereas the risk of stroke associated with recurrent miscarriages was driven by both subtypes,” the researchers wrote.

The researchers cited endothelial dysfunction as a potential underlying mechanism for increased stroke risk associated with pregnancy complications. “Endothelial dysfunction might lead to pregnancy loss through placentation-related defects, persist after a complicated pregnancy, and contribute to the development of stroke through reduced vasodilation, proinflammatory status, and prothrombic properties,” and that history of recurrent pregnancy loss might be a female-specific risk factor for stroke.

To mitigate this risk, they advised early monitoring of women with a history of recurrent miscarriages and stillbirths for stroke risk factors such as high blood pressure, blood sugar levels, and lipid levels.

The study findings were limited by several factors including the use of questionnaires to collect information on infertility, miscarriage, and stillbirth, and the potential variation in definitions of infertility, miscarriage, and stillbirth across the included studies, and a lack of data on the effect of different causes or treatments based on reproductive histories, the researchers noted. Other limitations include incomplete data on stroke subtypes and inability to adjust for all covariates such as thyroid disorders and endometriosis. However, the results were strengthened by the large study size and geographically and racially diverse population, extend the current knowledge on associations between infertility, miscarriage, and stillbirth with stroke, and highlight the need for more research on underlying mechanisms.
 

Data support gender-specific stroke risk stratification

“Studies that seek to understand gender differences and disparities in adverse outcomes, such as stroke risk, are extremely important given that women historically were excluded from research studies,” Catherine M. Albright, MD, of the University of Washington, Seattle, said in an interview. “By doing these studies, we are able to better risk stratify people in order to better predict and modify risks,” added Dr. Albright, who was not involved in the current study.

“It is well known than adverse pregnancy outcomes such as hypertension in pregnancy, fetal growth restriction, and preterm birth, lead to increased risk of cardiovascular disease and stroke later in life, so the general findings of an association between other adverse reproductive and pregnancy outcomes leads to increased stroke risk are not surprising,” she said.

“The take-home message is that outcomes for pregnancy really do provide a window to future health,” said Dr. Albright. “For clinicians, especially non-ob.gyns., knowing a complete pregnancy history for any new patient is important and can help risk-stratify patients, especially as we continue to gain knowledge like what is shown in this study.”

However, “this study did not evaluate why individual patients may have had infertility, recurrent pregnancy loss, or stillbirth, so research to look further into this association to determine if there is an underlying medical condition that could be treated and therefore possibly reduce both pregnancy complications and future stroke risks would be important,” Dr. Albright noted.

The study was supported by the Australian National Health and Medical Research Council Centres of Research Excellence; one corresponding author was supported by an Australian National Health and Medical Research Council Investigator grant. The researchers had no financial conflicts to disclose. Dr. Albright had no financial conflicts to disclose.

Infertility, pregnancy loss, and stillbirth increased women’s later risk of both nonfatal and fatal stroke, based on data from more than 600,000 women.

“To date, multiple studies have generated an expanding body of evidence on the association between pregnancy complications (e.g., gestational diabetes and preeclampsia) and the long-term risk of stroke, but studies on associations with infertility, miscarriage, or stillbirth have produced mixed evidence,” Chen Liang, a PhD candidate at the University of Queensland, Brisbane, Australia, and colleagues wrote.

In a study published in the BMJ, the researchers reviewed data from eight observational cohort studies across seven countries (Australia, China, Japan, the Netherlands, Sweden, the United Kingdom, and the United States). The participants were part of the InterLACE (International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events) consortium established in 2021. Most observational studies included in the analysis began between 1990 and 2000.

The study population included 618,851 women aged 32-73 years at baseline for whom data on infertility, miscarriage, or stillbirth, were available. The primary outcome was the association of infertility, recurrent miscarriage, and stillbirth with risk of first fatal or nonfatal stroke, and the results were further stratified by subtype. Stroke was identified through self-reports, linked hospital data, national patient registers, or death registry data. Baseline was defined as the first incidence of infertility, miscarriage, or stillbirth. The exception was the National Survey of Health and Development, a British birth cohort started in 1946, that collected data retrospectively.

The median follow-up period was 13 years for nonfatal stroke and 9.4 years for fatal stroke.

Overall, 17.2%, 16.6%, and 4.6% of the women experienced infertility, miscarriage, and stillbirth, respectively.

Women with a history of infertility had a significantly higher nonfatal stroke risk, compared with those without infertility (hazard ratio, 1.14). Further analysis by stroke subtypes showed an increased association between miscarriage and ischemic stroke (HR, 1.15).

Those with a history of miscarriage also had an increased risk of nonfatal stroke, compared with those without miscarriages (HR, 1.11). In the miscarriage group, the risk of stroke increased with the number of miscarriages, with adjusted HRs of 1.07, 1.12, and 1.35 for women with one, two, and three or more miscarriages, respectively. When stratified by stroke subtype, women with three or more miscarriages were more likely than women with no miscarriages to experience ischemic and hemorrhagic nonfatal strokes.

Associations were similar between miscarriage history and fatal stroke risk. Women with one, two, and three or more miscarriages had increased risk of fatal stroke, compared with those with no miscarriages (aHR, 1.08, 1.26, and 1.82, respectively, and women with three or more miscarriages had a higher risk of ischemic and hemorrhagic stroke (aHR, 1.83 and 1.84, respectively).

Women with a history of stillbirth had an approximately 31% increased risk of nonfatal stroke, compared with those with no history of stillbirth, with aHRs similar for single and recurrent stillbirths (1.32 and 1.29, respectively). Ischemic nonfatal stroke risk was higher in women with any stillbirth, compared with those without stillbirth (aHR, 1.77). Fatal stroke risk also was higher in women with any stillbirth, compared with those without, and this risk increased with the number of stillbirths (HR, 0.97 and HR, 1.26 for those with one stillbirth and two or more, respectively).

“The increased risk of stroke associated with infertility or recurrent stillbirths was mainly driven by a single subtype of stroke (nonfatal ischemic stroke or fatal hemorrhagic stroke, respectively), whereas the risk of stroke associated with recurrent miscarriages was driven by both subtypes,” the researchers wrote.

The researchers cited endothelial dysfunction as a potential underlying mechanism for increased stroke risk associated with pregnancy complications. “Endothelial dysfunction might lead to pregnancy loss through placentation-related defects, persist after a complicated pregnancy, and contribute to the development of stroke through reduced vasodilation, proinflammatory status, and prothrombic properties,” and that history of recurrent pregnancy loss might be a female-specific risk factor for stroke.

To mitigate this risk, they advised early monitoring of women with a history of recurrent miscarriages and stillbirths for stroke risk factors such as high blood pressure, blood sugar levels, and lipid levels.

The study findings were limited by several factors including the use of questionnaires to collect information on infertility, miscarriage, and stillbirth, and the potential variation in definitions of infertility, miscarriage, and stillbirth across the included studies, and a lack of data on the effect of different causes or treatments based on reproductive histories, the researchers noted. Other limitations include incomplete data on stroke subtypes and inability to adjust for all covariates such as thyroid disorders and endometriosis. However, the results were strengthened by the large study size and geographically and racially diverse population, extend the current knowledge on associations between infertility, miscarriage, and stillbirth with stroke, and highlight the need for more research on underlying mechanisms.
 

Data support gender-specific stroke risk stratification

“Studies that seek to understand gender differences and disparities in adverse outcomes, such as stroke risk, are extremely important given that women historically were excluded from research studies,” Catherine M. Albright, MD, of the University of Washington, Seattle, said in an interview. “By doing these studies, we are able to better risk stratify people in order to better predict and modify risks,” added Dr. Albright, who was not involved in the current study.

“It is well known than adverse pregnancy outcomes such as hypertension in pregnancy, fetal growth restriction, and preterm birth, lead to increased risk of cardiovascular disease and stroke later in life, so the general findings of an association between other adverse reproductive and pregnancy outcomes leads to increased stroke risk are not surprising,” she said.

“The take-home message is that outcomes for pregnancy really do provide a window to future health,” said Dr. Albright. “For clinicians, especially non-ob.gyns., knowing a complete pregnancy history for any new patient is important and can help risk-stratify patients, especially as we continue to gain knowledge like what is shown in this study.”

However, “this study did not evaluate why individual patients may have had infertility, recurrent pregnancy loss, or stillbirth, so research to look further into this association to determine if there is an underlying medical condition that could be treated and therefore possibly reduce both pregnancy complications and future stroke risks would be important,” Dr. Albright noted.

The study was supported by the Australian National Health and Medical Research Council Centres of Research Excellence; one corresponding author was supported by an Australian National Health and Medical Research Council Investigator grant. The researchers had no financial conflicts to disclose. Dr. Albright had no financial conflicts to disclose.

Infants who were introduced to a low-protein diet – high in fruit, vegetables, and roots – ate more fruits and vegetables at 12 and 18 months of age, compared with those who ate a conventional diet, in a new study.

The “Nordic diet” has shown health benefits in children and adults, but has not been studied in infants, said Ulrica Johansson, MD, of Umeå (Sweden) University, in a presentation on the study at the annual meeting of the European Society for Paediatric Gastroenterology, Hepatology, and Nutrition.

A healthy and sustainable diet early in life could have a significant impact on future health, Dr. Johansson said in an interview.

Dr. Johansson and colleagues aimed to investigate the effect of a Nordic diet in infants aged 4-18 months in the OTIS trial. All infants were breastfed or formula-fed at baseline.
 

Study methods and results

A total of 250 infants aged 4-6 months were randomized to consuming a Nordic diet or a conventional diet. Those in the Nordic group received exposures to Nordic foods and flavors, including Nordic fruit, berries, vegetables, and roots. Those in the conventional group received baby food products that followed the current Swedish dietary recommendations for infants. The researchers collected data on dietary intake, biomarkers, and growth from baseline up to 18 months of age.

Notably, acceptance of all the flavors in the Nordic diet was high, including those with sour or bitter taste, such as cranberry and white radish, Dr. Johansson said in her presentation. Food refusals were few, and did not differ among the Nordic food offerings.

At both 12- and 18-month follow-ups, infants in the Nordic group consumed 42%-45% more fruits and vegetables compared with those in the conventional group (P < .001). Plasma folate levels also were significantly higher in the Nordic group compared with in the conventional group, at both 12 months and 18 months (P < .001 and P < .003, respectively).

The daily mean protein intake ranged from 17% to 29% lower in the Nordic group compared with in the conventional group, at both 12 months and 18 months. The intake of protein in terms of g/kg of body weight was significantly lower in the Nordic group, at both time points. Lower protein intake was confirmed by blood urea nitrogen measurements.

The protein intake in the Nordic group still fell within the safe level recommended for healthy growth in young children by the World Health Organization, noted Dr. Johansson, and no significant differences were observed in growth between the groups. Total energy intake, iron status, and duration of breastfeeding also remained similar between the groups throughout the study period.

Parents received support from research nurses via social media and monthly clinic visits, which she believes contributed to the success of the intervention, she said.
 

Nordic diet offers feasible encouragement of healthy eating

The key message for clinicians, and for parents of young children, is that “the protein-reduced, Nordic diet is both feasible and safe for infants’ growth, nutritional requirements, and development during the complementary feeding period,” Dr. Johansson said in an interview. “Thus, it may serve as a healthy and environmentally sustainable diet alternative for infants and their parents in the future.”

“Nordic foods are feasible to use when exposing infants to a variety of flavors so that healthy food preferences can be established early in life; Nordic berries and some root vegetables are preferable when introducing bitter and sour tastes during the sensitive period,” she added.

“Multicomponent interventions with long-term follow-up are required to advance the field of child nutrition research,” Dr. Johansson emphasized. Home-based interventions are lacking, and “more studies are needed to bridge the gap in research between the transfer period from baby food to family food at 1-2 years of age.”

Large, randomized controlled studies of Nordic diet during infancy and later childhood are needed as well, said Dr. Johansson. “The long-term effects of the Nordic diet during this highly dynamic period of childhood need continued follow-up to school age to give indications of any lasting health effects,” and the researchers plan to follow the current study population at 7 years of age.

Findings reinforce need for better nutrition

Previous research documents concern for childhood obesity associated with higher intake of protein, fats and overall calories in infancy, said Cathy Haut, DNP, CPNP-AC, CPNP-PC, a pediatric nurse practitioner in Rehoboth Beach, Del., in an interview. “The inclusion of high-calorie, high-fat foods contributes to obesity in all children, so focusing on intake of fruits and vegetables is extremely important early in life,” she said.

A key barrier to the widespread use of a Nordic-type diet is that and vegetables tend to be more expensive than other foods and may not be readily available to all families, especially lower income families, Dr. Haut added.

However, for primary care clinicians, the current study reinforces the need to encourage the intake of fruits and vegetables at all ages, beginning in infancy, she said.

Looking ahead, “there is still limited information in the literature about the ideal recommended daily protein, except for increased amounts needed for preterm infants, early infancy, and during periods of healing,” Dr. Haut emphasized. “Some controls for this study were not included in the abstract, such as monitoring what foods were given to the infants in the conventional group. Parent and caregiver interpretation of recommendations can be highly variable,” she noted. Also, “The activity levels of late infancy and toddlers can vary in terms of energy usage, especially when crawling, walking, running and other exercise-related activities begin. These factors were not readily available in the abstract/study,” she said.  

The OTIS trial was sponsored by Semper. Dr. Johansson had no financial conflicts to disclose. Dr. Haut had no financial conflicts to disclose, but serves on the Editorial Advisory Board of Pediatric News.

Infants who were introduced to a low-protein diet – high in fruit, vegetables, and roots – ate more fruits and vegetables at 12 and 18 months of age, compared with those who ate a conventional diet, in a new study.

The “Nordic diet” has shown health benefits in children and adults, but has not been studied in infants, said Ulrica Johansson, MD, of Umeå (Sweden) University, in a presentation on the study at the annual meeting of the European Society for Paediatric Gastroenterology, Hepatology, and Nutrition.

A healthy and sustainable diet early in life could have a significant impact on future health, Dr. Johansson said in an interview.

Dr. Johansson and colleagues aimed to investigate the effect of a Nordic diet in infants aged 4-18 months in the OTIS trial. All infants were breastfed or formula-fed at baseline.
 

Study methods and results

A total of 250 infants aged 4-6 months were randomized to consuming a Nordic diet or a conventional diet. Those in the Nordic group received exposures to Nordic foods and flavors, including Nordic fruit, berries, vegetables, and roots. Those in the conventional group received baby food products that followed the current Swedish dietary recommendations for infants. The researchers collected data on dietary intake, biomarkers, and growth from baseline up to 18 months of age.

Notably, acceptance of all the flavors in the Nordic diet was high, including those with sour or bitter taste, such as cranberry and white radish, Dr. Johansson said in her presentation. Food refusals were few, and did not differ among the Nordic food offerings.

At both 12- and 18-month follow-ups, infants in the Nordic group consumed 42%-45% more fruits and vegetables compared with those in the conventional group (P < .001). Plasma folate levels also were significantly higher in the Nordic group compared with in the conventional group, at both 12 months and 18 months (P < .001 and P < .003, respectively).

The daily mean protein intake ranged from 17% to 29% lower in the Nordic group compared with in the conventional group, at both 12 months and 18 months. The intake of protein in terms of g/kg of body weight was significantly lower in the Nordic group, at both time points. Lower protein intake was confirmed by blood urea nitrogen measurements.

The protein intake in the Nordic group still fell within the safe level recommended for healthy growth in young children by the World Health Organization, noted Dr. Johansson, and no significant differences were observed in growth between the groups. Total energy intake, iron status, and duration of breastfeeding also remained similar between the groups throughout the study period.

Parents received support from research nurses via social media and monthly clinic visits, which she believes contributed to the success of the intervention, she said.
 

Nordic diet offers feasible encouragement of healthy eating

The key message for clinicians, and for parents of young children, is that “the protein-reduced, Nordic diet is both feasible and safe for infants’ growth, nutritional requirements, and development during the complementary feeding period,” Dr. Johansson said in an interview. “Thus, it may serve as a healthy and environmentally sustainable diet alternative for infants and their parents in the future.”

“Nordic foods are feasible to use when exposing infants to a variety of flavors so that healthy food preferences can be established early in life; Nordic berries and some root vegetables are preferable when introducing bitter and sour tastes during the sensitive period,” she added.

“Multicomponent interventions with long-term follow-up are required to advance the field of child nutrition research,” Dr. Johansson emphasized. Home-based interventions are lacking, and “more studies are needed to bridge the gap in research between the transfer period from baby food to family food at 1-2 years of age.”

Large, randomized controlled studies of Nordic diet during infancy and later childhood are needed as well, said Dr. Johansson. “The long-term effects of the Nordic diet during this highly dynamic period of childhood need continued follow-up to school age to give indications of any lasting health effects,” and the researchers plan to follow the current study population at 7 years of age.

Findings reinforce need for better nutrition

Previous research documents concern for childhood obesity associated with higher intake of protein, fats and overall calories in infancy, said Cathy Haut, DNP, CPNP-AC, CPNP-PC, a pediatric nurse practitioner in Rehoboth Beach, Del., in an interview. “The inclusion of high-calorie, high-fat foods contributes to obesity in all children, so focusing on intake of fruits and vegetables is extremely important early in life,” she said.

A key barrier to the widespread use of a Nordic-type diet is that and vegetables tend to be more expensive than other foods and may not be readily available to all families, especially lower income families, Dr. Haut added.

However, for primary care clinicians, the current study reinforces the need to encourage the intake of fruits and vegetables at all ages, beginning in infancy, she said.

Looking ahead, “there is still limited information in the literature about the ideal recommended daily protein, except for increased amounts needed for preterm infants, early infancy, and during periods of healing,” Dr. Haut emphasized. “Some controls for this study were not included in the abstract, such as monitoring what foods were given to the infants in the conventional group. Parent and caregiver interpretation of recommendations can be highly variable,” she noted. Also, “The activity levels of late infancy and toddlers can vary in terms of energy usage, especially when crawling, walking, running and other exercise-related activities begin. These factors were not readily available in the abstract/study,” she said.  

The OTIS trial was sponsored by Semper. Dr. Johansson had no financial conflicts to disclose. Dr. Haut had no financial conflicts to disclose, but serves on the Editorial Advisory Board of Pediatric News.

Infants who were introduced to a low-protein diet – high in fruit, vegetables, and roots – ate more fruits and vegetables at 12 and 18 months of age, compared with those who ate a conventional diet, in a new study.

The “Nordic diet” has shown health benefits in children and adults, but has not been studied in infants, said Ulrica Johansson, MD, of Umeå (Sweden) University, in a presentation on the study at the annual meeting of the European Society for Paediatric Gastroenterology, Hepatology, and Nutrition.

A healthy and sustainable diet early in life could have a significant impact on future health, Dr. Johansson said in an interview.

Dr. Johansson and colleagues aimed to investigate the effect of a Nordic diet in infants aged 4-18 months in the OTIS trial. All infants were breastfed or formula-fed at baseline.
 

Study methods and results

A total of 250 infants aged 4-6 months were randomized to consuming a Nordic diet or a conventional diet. Those in the Nordic group received exposures to Nordic foods and flavors, including Nordic fruit, berries, vegetables, and roots. Those in the conventional group received baby food products that followed the current Swedish dietary recommendations for infants. The researchers collected data on dietary intake, biomarkers, and growth from baseline up to 18 months of age.

Notably, acceptance of all the flavors in the Nordic diet was high, including those with sour or bitter taste, such as cranberry and white radish, Dr. Johansson said in her presentation. Food refusals were few, and did not differ among the Nordic food offerings.

At both 12- and 18-month follow-ups, infants in the Nordic group consumed 42%-45% more fruits and vegetables compared with those in the conventional group (P < .001). Plasma folate levels also were significantly higher in the Nordic group compared with in the conventional group, at both 12 months and 18 months (P < .001 and P < .003, respectively).

The daily mean protein intake ranged from 17% to 29% lower in the Nordic group compared with in the conventional group, at both 12 months and 18 months. The intake of protein in terms of g/kg of body weight was significantly lower in the Nordic group, at both time points. Lower protein intake was confirmed by blood urea nitrogen measurements.

The protein intake in the Nordic group still fell within the safe level recommended for healthy growth in young children by the World Health Organization, noted Dr. Johansson, and no significant differences were observed in growth between the groups. Total energy intake, iron status, and duration of breastfeeding also remained similar between the groups throughout the study period.

Parents received support from research nurses via social media and monthly clinic visits, which she believes contributed to the success of the intervention, she said.
 

Nordic diet offers feasible encouragement of healthy eating

The key message for clinicians, and for parents of young children, is that “the protein-reduced, Nordic diet is both feasible and safe for infants’ growth, nutritional requirements, and development during the complementary feeding period,” Dr. Johansson said in an interview. “Thus, it may serve as a healthy and environmentally sustainable diet alternative for infants and their parents in the future.”

“Nordic foods are feasible to use when exposing infants to a variety of flavors so that healthy food preferences can be established early in life; Nordic berries and some root vegetables are preferable when introducing bitter and sour tastes during the sensitive period,” she added.

“Multicomponent interventions with long-term follow-up are required to advance the field of child nutrition research,” Dr. Johansson emphasized. Home-based interventions are lacking, and “more studies are needed to bridge the gap in research between the transfer period from baby food to family food at 1-2 years of age.”

Large, randomized controlled studies of Nordic diet during infancy and later childhood are needed as well, said Dr. Johansson. “The long-term effects of the Nordic diet during this highly dynamic period of childhood need continued follow-up to school age to give indications of any lasting health effects,” and the researchers plan to follow the current study population at 7 years of age.

Findings reinforce need for better nutrition

Previous research documents concern for childhood obesity associated with higher intake of protein, fats and overall calories in infancy, said Cathy Haut, DNP, CPNP-AC, CPNP-PC, a pediatric nurse practitioner in Rehoboth Beach, Del., in an interview. “The inclusion of high-calorie, high-fat foods contributes to obesity in all children, so focusing on intake of fruits and vegetables is extremely important early in life,” she said.

A key barrier to the widespread use of a Nordic-type diet is that and vegetables tend to be more expensive than other foods and may not be readily available to all families, especially lower income families, Dr. Haut added.

However, for primary care clinicians, the current study reinforces the need to encourage the intake of fruits and vegetables at all ages, beginning in infancy, she said.

Looking ahead, “there is still limited information in the literature about the ideal recommended daily protein, except for increased amounts needed for preterm infants, early infancy, and during periods of healing,” Dr. Haut emphasized. “Some controls for this study were not included in the abstract, such as monitoring what foods were given to the infants in the conventional group. Parent and caregiver interpretation of recommendations can be highly variable,” she noted. Also, “The activity levels of late infancy and toddlers can vary in terms of energy usage, especially when crawling, walking, running and other exercise-related activities begin. These factors were not readily available in the abstract/study,” she said.  

The OTIS trial was sponsored by Semper. Dr. Johansson had no financial conflicts to disclose. Dr. Haut had no financial conflicts to disclose, but serves on the Editorial Advisory Board of Pediatric News.

Racial residential segregation was significantly associated with poor glycemic control in Black adolescents with type 1 diabetes, according to data from 144 individuals.

Racial residential segregation is considered a form of systemic racism that involves limited access to resources, including health care resources, Deborah A. Ellis, MD, of Wayne State University, Detroit, and colleagues wrote in a poster presented at the annual meeting of the American Diabetes Association.

In the study, the researchers recruited youth aged 10-15 years with type 1 diabetes from seven pediatric clinics in two large U.S. cities. The mean age of the participants was 13.3 years, and the mean hemoglobin A1c was 11.5%.

Diabetes management was based on self-reports using the Diabetes Management Scale (DMS). Racial residential segregation, which refers to the separation of groups within a geographic area, was determined using data from the U.S. Census using Location Quotient (LQ) at the block group level; this showed the ratio of the Black population to the total population, compared with the same ratio in the metropolitan area.

The mean family income was $34,163, and the mean LQ was 3.04, “indicating residence in highly segregated neighborhoods,” the researchers wrote.

Overall, racial residential segregation was significantly associated with A1c (P = .001) but not with DMS (P = .311). The researchers also conducted a stepwise multiple regression analysis including age, insulin delivery method, neighborhood adversity (a 9-item composite with variables including percentage of persons living in poverty, percentage of households with no vehicle), and family income. They found that only age, insulin delivery method, and racial residential segregation had significant impacts of A1c levels.

The study was limited by several factors, including the use of self-reports.

However, the results are consistent with previous studies showing the potential negative health effects of structural racism, the researchers wrote. The findings suggest that racial residential segregation has an independent effect on glycemic control in Black youth with type 1 diabetes, and consequently, “advocacy and policy making to address such inequities could improve diabetes population health.”
 

Location makes a difference

“Poor neighborhoods have been associated with high rates of obesity, hypertension, type 2 diabetes and high cholesterol,” Romesh K. Khardori, MD, professor of medicine at Eastern Virginia Medical School, Norfolk, said in an interview. However, “not much is known about impact of racial segregation on type 1 diabetes,” said Dr. Khardori, who was not involved in the study.

Dr. Khardori was not surprised by the current study findings. “In our practice, Black youth coming from racially segregated or low-income housing projects often tend have poor diabetes control, with repeated admissions to local hospitals for managing acute/chronic complications of type 1 diabetes,” he said.

The current findings reflect Dr. Khardori’s clinical experience and highlight the need for clinicians to recognize the increased risk for poor glycemic control and poor outcomes in this vulnerable population.

More research is needed to expand the observations of the current study, Dr. Khardori said. Future researchers also should “involve community leaders and politicians to educate and garner more support for mitigation efforts.”

The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. Dr. Ellis and Dr. Khardori had no financial conflicts to disclose.

Racial residential segregation was significantly associated with poor glycemic control in Black adolescents with type 1 diabetes, according to data from 144 individuals.

Racial residential segregation is considered a form of systemic racism that involves limited access to resources, including health care resources, Deborah A. Ellis, MD, of Wayne State University, Detroit, and colleagues wrote in a poster presented at the annual meeting of the American Diabetes Association.

In the study, the researchers recruited youth aged 10-15 years with type 1 diabetes from seven pediatric clinics in two large U.S. cities. The mean age of the participants was 13.3 years, and the mean hemoglobin A1c was 11.5%.

Diabetes management was based on self-reports using the Diabetes Management Scale (DMS). Racial residential segregation, which refers to the separation of groups within a geographic area, was determined using data from the U.S. Census using Location Quotient (LQ) at the block group level; this showed the ratio of the Black population to the total population, compared with the same ratio in the metropolitan area.

The mean family income was $34,163, and the mean LQ was 3.04, “indicating residence in highly segregated neighborhoods,” the researchers wrote.

Overall, racial residential segregation was significantly associated with A1c (P = .001) but not with DMS (P = .311). The researchers also conducted a stepwise multiple regression analysis including age, insulin delivery method, neighborhood adversity (a 9-item composite with variables including percentage of persons living in poverty, percentage of households with no vehicle), and family income. They found that only age, insulin delivery method, and racial residential segregation had significant impacts of A1c levels.

The study was limited by several factors, including the use of self-reports.

However, the results are consistent with previous studies showing the potential negative health effects of structural racism, the researchers wrote. The findings suggest that racial residential segregation has an independent effect on glycemic control in Black youth with type 1 diabetes, and consequently, “advocacy and policy making to address such inequities could improve diabetes population health.”
 

Location makes a difference

“Poor neighborhoods have been associated with high rates of obesity, hypertension, type 2 diabetes and high cholesterol,” Romesh K. Khardori, MD, professor of medicine at Eastern Virginia Medical School, Norfolk, said in an interview. However, “not much is known about impact of racial segregation on type 1 diabetes,” said Dr. Khardori, who was not involved in the study.

Dr. Khardori was not surprised by the current study findings. “In our practice, Black youth coming from racially segregated or low-income housing projects often tend have poor diabetes control, with repeated admissions to local hospitals for managing acute/chronic complications of type 1 diabetes,” he said.

The current findings reflect Dr. Khardori’s clinical experience and highlight the need for clinicians to recognize the increased risk for poor glycemic control and poor outcomes in this vulnerable population.

More research is needed to expand the observations of the current study, Dr. Khardori said. Future researchers also should “involve community leaders and politicians to educate and garner more support for mitigation efforts.”

The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. Dr. Ellis and Dr. Khardori had no financial conflicts to disclose.

Racial residential segregation was significantly associated with poor glycemic control in Black adolescents with type 1 diabetes, according to data from 144 individuals.

Racial residential segregation is considered a form of systemic racism that involves limited access to resources, including health care resources, Deborah A. Ellis, MD, of Wayne State University, Detroit, and colleagues wrote in a poster presented at the annual meeting of the American Diabetes Association.

In the study, the researchers recruited youth aged 10-15 years with type 1 diabetes from seven pediatric clinics in two large U.S. cities. The mean age of the participants was 13.3 years, and the mean hemoglobin A1c was 11.5%.

Diabetes management was based on self-reports using the Diabetes Management Scale (DMS). Racial residential segregation, which refers to the separation of groups within a geographic area, was determined using data from the U.S. Census using Location Quotient (LQ) at the block group level; this showed the ratio of the Black population to the total population, compared with the same ratio in the metropolitan area.

The mean family income was $34,163, and the mean LQ was 3.04, “indicating residence in highly segregated neighborhoods,” the researchers wrote.

Overall, racial residential segregation was significantly associated with A1c (P = .001) but not with DMS (P = .311). The researchers also conducted a stepwise multiple regression analysis including age, insulin delivery method, neighborhood adversity (a 9-item composite with variables including percentage of persons living in poverty, percentage of households with no vehicle), and family income. They found that only age, insulin delivery method, and racial residential segregation had significant impacts of A1c levels.

The study was limited by several factors, including the use of self-reports.

However, the results are consistent with previous studies showing the potential negative health effects of structural racism, the researchers wrote. The findings suggest that racial residential segregation has an independent effect on glycemic control in Black youth with type 1 diabetes, and consequently, “advocacy and policy making to address such inequities could improve diabetes population health.”
 

Location makes a difference

“Poor neighborhoods have been associated with high rates of obesity, hypertension, type 2 diabetes and high cholesterol,” Romesh K. Khardori, MD, professor of medicine at Eastern Virginia Medical School, Norfolk, said in an interview. However, “not much is known about impact of racial segregation on type 1 diabetes,” said Dr. Khardori, who was not involved in the study.

Dr. Khardori was not surprised by the current study findings. “In our practice, Black youth coming from racially segregated or low-income housing projects often tend have poor diabetes control, with repeated admissions to local hospitals for managing acute/chronic complications of type 1 diabetes,” he said.

The current findings reflect Dr. Khardori’s clinical experience and highlight the need for clinicians to recognize the increased risk for poor glycemic control and poor outcomes in this vulnerable population.

More research is needed to expand the observations of the current study, Dr. Khardori said. Future researchers also should “involve community leaders and politicians to educate and garner more support for mitigation efforts.”

The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases. Dr. Ellis and Dr. Khardori had no financial conflicts to disclose.

Treatment with an interleukin-6 neutralizing antibody significantly reduced airway mucus hypersecretion (AMH) in chronic obstructive pulmonary disease (COPD), based on data from human and mouse cells in a human organoid model.

AMH plays a large part in aggravating airway obstruction in patients with COPD, Yuan-Yuan Wei, MD, of First Affiliated Hospital of Anhui Medical University, Hefei, China, and colleagues wrote.

Current pharmacotherapies relieve COPD symptoms and improve exercise tolerance, but have not proven effective for relieving the airflow limitations caused by mucus accumulation that “leads to irreversible structural damage and an unfavorable prognosis,” the researchers said. Although reducing AMH could help manage COPD, the molecular mechanisms of action have not been fully explored.

In a study published in Biomedicine & Pharmacotherapy , the researchers examined the relationship between IL-6 and AMH. Since IL-6 has been shown to cause overexpression of the mucin-type protein known as Muc5ac, they hypothesized that IL-6 antibodies (IL-6Ab) might block this protein elevation.

The researchers recruited 30 adults with COPD and 30 controls from a single center. Bronchial epithelial cells were isolated from the participants and measured the levels of Muc5ac protein and mRNA in the lung tissue. Compared with controls, COPD patients had elevated Muc5ac positively correlated with IL-6.

The researchers then created an organoid model of a trachea for COPD patients and controls. In the model, Muc5ac was similarly elevated in COPD patients, compared with controls. “Furthermore, IL-6 significantly induced excessive secretion of mucus in the organoid model of trachea in COPD patients as observed under electron microscope, and IL-6Ab attenuated these effects,” they noted.

IL-6 significantly increased both Muc5ac mRNA and protein expression in the organoid model of trachea (P < .0001 and P < .005, respectively), but both of these significantly decreased when treated with IL-6Ab (P < .0001 and P < .05, respectively).

The researchers also examined human and mouse cells to explore the mechanism of action of IL-6Ab. Using high-throughput sequencing, they found that the IL-6Ab induced nuclear translocation of the Nrt2 gene in COPD patients, and that this action promoted the effect of IL-6Ab on excessive mucus secretion.

The study findings were limited by the relatively small study population from a single center, the researchers noted.

However, the results support the potential of IL-6Ab as “a novel therapeutic strategy in the treatment of IL-6–induced hypersecretion of airway mucus so as to improve airflow limitations in COPD,” they concluded.

The study was supported by supported by the National Natural Science Foundation of China and the Scientific Research Project of Education Department of Anhui Province. The researchers had no financial conflicts to disclose.

Treatment with an interleukin-6 neutralizing antibody significantly reduced airway mucus hypersecretion (AMH) in chronic obstructive pulmonary disease (COPD), based on data from human and mouse cells in a human organoid model.

AMH plays a large part in aggravating airway obstruction in patients with COPD, Yuan-Yuan Wei, MD, of First Affiliated Hospital of Anhui Medical University, Hefei, China, and colleagues wrote.

Current pharmacotherapies relieve COPD symptoms and improve exercise tolerance, but have not proven effective for relieving the airflow limitations caused by mucus accumulation that “leads to irreversible structural damage and an unfavorable prognosis,” the researchers said. Although reducing AMH could help manage COPD, the molecular mechanisms of action have not been fully explored.

In a study published in Biomedicine & Pharmacotherapy , the researchers examined the relationship between IL-6 and AMH. Since IL-6 has been shown to cause overexpression of the mucin-type protein known as Muc5ac, they hypothesized that IL-6 antibodies (IL-6Ab) might block this protein elevation.

The researchers recruited 30 adults with COPD and 30 controls from a single center. Bronchial epithelial cells were isolated from the participants and measured the levels of Muc5ac protein and mRNA in the lung tissue. Compared with controls, COPD patients had elevated Muc5ac positively correlated with IL-6.

The researchers then created an organoid model of a trachea for COPD patients and controls. In the model, Muc5ac was similarly elevated in COPD patients, compared with controls. “Furthermore, IL-6 significantly induced excessive secretion of mucus in the organoid model of trachea in COPD patients as observed under electron microscope, and IL-6Ab attenuated these effects,” they noted.

IL-6 significantly increased both Muc5ac mRNA and protein expression in the organoid model of trachea (P < .0001 and P < .005, respectively), but both of these significantly decreased when treated with IL-6Ab (P < .0001 and P < .05, respectively).

The researchers also examined human and mouse cells to explore the mechanism of action of IL-6Ab. Using high-throughput sequencing, they found that the IL-6Ab induced nuclear translocation of the Nrt2 gene in COPD patients, and that this action promoted the effect of IL-6Ab on excessive mucus secretion.

The study findings were limited by the relatively small study population from a single center, the researchers noted.

However, the results support the potential of IL-6Ab as “a novel therapeutic strategy in the treatment of IL-6–induced hypersecretion of airway mucus so as to improve airflow limitations in COPD,” they concluded.

The study was supported by supported by the National Natural Science Foundation of China and the Scientific Research Project of Education Department of Anhui Province. The researchers had no financial conflicts to disclose.

Treatment with an interleukin-6 neutralizing antibody significantly reduced airway mucus hypersecretion (AMH) in chronic obstructive pulmonary disease (COPD), based on data from human and mouse cells in a human organoid model.

AMH plays a large part in aggravating airway obstruction in patients with COPD, Yuan-Yuan Wei, MD, of First Affiliated Hospital of Anhui Medical University, Hefei, China, and colleagues wrote.

Current pharmacotherapies relieve COPD symptoms and improve exercise tolerance, but have not proven effective for relieving the airflow limitations caused by mucus accumulation that “leads to irreversible structural damage and an unfavorable prognosis,” the researchers said. Although reducing AMH could help manage COPD, the molecular mechanisms of action have not been fully explored.

In a study published in Biomedicine & Pharmacotherapy , the researchers examined the relationship between IL-6 and AMH. Since IL-6 has been shown to cause overexpression of the mucin-type protein known as Muc5ac, they hypothesized that IL-6 antibodies (IL-6Ab) might block this protein elevation.

The researchers recruited 30 adults with COPD and 30 controls from a single center. Bronchial epithelial cells were isolated from the participants and measured the levels of Muc5ac protein and mRNA in the lung tissue. Compared with controls, COPD patients had elevated Muc5ac positively correlated with IL-6.

The researchers then created an organoid model of a trachea for COPD patients and controls. In the model, Muc5ac was similarly elevated in COPD patients, compared with controls. “Furthermore, IL-6 significantly induced excessive secretion of mucus in the organoid model of trachea in COPD patients as observed under electron microscope, and IL-6Ab attenuated these effects,” they noted.

IL-6 significantly increased both Muc5ac mRNA and protein expression in the organoid model of trachea (P < .0001 and P < .005, respectively), but both of these significantly decreased when treated with IL-6Ab (P < .0001 and P < .05, respectively).

The researchers also examined human and mouse cells to explore the mechanism of action of IL-6Ab. Using high-throughput sequencing, they found that the IL-6Ab induced nuclear translocation of the Nrt2 gene in COPD patients, and that this action promoted the effect of IL-6Ab on excessive mucus secretion.

The study findings were limited by the relatively small study population from a single center, the researchers noted.

However, the results support the potential of IL-6Ab as “a novel therapeutic strategy in the treatment of IL-6–induced hypersecretion of airway mucus so as to improve airflow limitations in COPD,” they concluded.

The study was supported by supported by the National Natural Science Foundation of China and the Scientific Research Project of Education Department of Anhui Province. The researchers had no financial conflicts to disclose.

The social behavior associated with the COVID-19 pandemic may have reduced the incidence of Kawasaki disease, according to results of a cohort study of nearly 4,000 children.

The incidence of Kawasaki disease in the United States declined by 28.2% between 2018 and 2020, possibly as a result of factors including school closures, mask mandates, and reduced ambient pollution that might reduce exposure to Kawasaki disease (KD) in the environment, but a potential association has not been explored, wrote Jennifer A. Burney, PhD, of the University of California, San Diego, and colleagues.

KD received greater attention in the public and medical communities because of the emergence of multisystem inflammatory syndrome in children (MIS-C), which is similar to, but distinct from, KD, and because of the noticeable drop in KD cases during the pandemic, the researchers said.

In a multicenter cohort study published in JAMA Network Open , the researchers reviewed data from 2,461 consecutive patients with KD who were diagnosed between Jan. 1, 2018, and Dec. 31, 2020. They conducted a detailed analysis of analysis of 1,461 children with KD who were diagnosed between Jan. 1, 2002, and Nov. 15, 2021, at Rady Children’s Hospital San Diego (RCHSD), using data from before, during, and after the height of the pandemic. The median age of the children in the RCHSD analysis was 2.8 years, 62% were male, and 35% were Hispanic.

Overall, the prevalence of KD declined from 894 in 2018 to 646 in 2020, across the United States, but the decline was uneven, the researchers noted.

In the RCHSD cohort in San Diego, KD cases in children aged 1-5 years decreased significantly from 2020 to 2021 compared to the mean number of cases in previous years (22 vs. 44.9, P = .02). KD cases also decreased significantly among males and Asian children.

Notably, the occurrence of the KD clinical features of strawberry tongue, enlarged cervical lymph node, and subacute periungual desquamation decreased during 2020 compared with the baseline period, although only strawberry tongue reached statistical significance (39% vs. 63%, P = .04). The prevalence of patients with an enlarged lymph node was 21% in 2020 vs. 32% prior to the pandemic (P = .09); the prevalence of periungual desquamation during these periods was 47% vs. 58%, P = .16).

The researchers also used data from Census Block Groups (CBGs) to assess the impact of mobility metrics and environmental exposures on KD during the pandemic for the San Diego patient cohort. They found that KD cases during the pandemic were more likely to occur in neighborhoods of higher socioeconomic status, and that neighborhoods with lower levels of nitrous oxides had fewer KD cases.

Overall, “The reduction in KD case numbers coincided with masking, school closures, reduced circulation of respiratory viruses, and reduced air pollution,” the researchers wrote in their discussion of the findings. “A rebound in KD case numbers to prepandemic levels coincided with the lifting of mask mandates and, subsequently, the return to in-person schooling,” they wrote.

The study findings were limited by several factors including the small sample sizes, which also limit the interpretation of mobility and pollution data, the researchers noted. Other limitations include the high interannual variability of KD and the inclusion of 2021 rebound data from the San Diego region only.

“Although our original hypothesis was that shelter-in-place measures would track with reduced KD cases, this was not borne out by the San Diego region data. Instead, the San Diego case occurrence data suggest that exposures that triggered KD were more likely to occur in the home, with a shift toward households with higher SES during the pandemic,” the researchers noted. However, “The results presented here are consistent with a respiratory portal of entry for the trigger(s) of KD,” they said.
 

Study fails to validate its conclusions

“This study attempts to test the hypothesis that various social restrictions were associated with a decrease in rate of diagnosed Kawasaki disease cases during portions of the SARS-CoV-2 pandemic,” Mark Gorelik, MD, assistant professor of pediatrics at Columbia University, New York, said in an interview.

“However, it appears that it fails to achieve this conclusion and I disagree with the findings,” said Dr. Gorelik, who was not involved in the study but served as first author on an updated Kawasaki disease treatment guideline published earlier this spring in Arthritis & Rheumatology.

“The study does not find statistically significant associations either with shelter in place orders or with cell phone mobility data, as stated in the conclusion, directly contradicting its own claim,” Dr. Gorelik said. “Secondly, the study makes an assumption that various methods, especially the wearing of masks by children and school closures, had a significant effect on the spread of respiratory viruses. There are no prospective, population based, controlled real world studies that validate this claim, and two prospective controlled real-world studies that dispute this,” he emphasized. “Cloth masks and surgical masks, which were the types of masks worn by school students, are also known to have a nonsignificant and paltry – in the latter, certainly less than 50%, and perhaps as little as 10% – effect on the reduction of respiratory viral spread,” he added.

“Mechanistic studies on mask wearing may suggest some mask efficacy, but these studies are as valid as mechanistic studies showing the effect of various antifungal pharmaceuticals on the replication of SARS-CoV-2 virus in culture, meaning only valid as hypothesis generating, and ultimately the latter hypothesis failed to bear out,” Dr. Gorelik explained. “We do not know the reason why other respiratory viruses and non-SARS-CoV-2 coronaviruses declined during the pandemic, but we do know that despite this, the SARS-CoV-2 coronavirus itself did not appear to suffer the same fate. Thus, it is very possible that another factor was at work, and we know that during other viral pandemics, typically circulating viruses decline, potentially due to induction of interferon responses in hosts, in a general effect known as ‘viral interference,’ ” he said.

“Overall, we must have robust evidence to support benefits of hypotheses that have demonstrated clear damage to children during this pandemic (such as school closures), and this study fails to live up to that requirement,” Dr. Gorelik said.  

The study was supported by the Gordon and Marilyn Macklin Foundation and the Patient-Centered Outcomes Research Institute. Dr. Burney and Dr. Gorelik had no financial conflicts to disclose.

The social behavior associated with the COVID-19 pandemic may have reduced the incidence of Kawasaki disease, according to results of a cohort study of nearly 4,000 children.

The incidence of Kawasaki disease in the United States declined by 28.2% between 2018 and 2020, possibly as a result of factors including school closures, mask mandates, and reduced ambient pollution that might reduce exposure to Kawasaki disease (KD) in the environment, but a potential association has not been explored, wrote Jennifer A. Burney, PhD, of the University of California, San Diego, and colleagues.

KD received greater attention in the public and medical communities because of the emergence of multisystem inflammatory syndrome in children (MIS-C), which is similar to, but distinct from, KD, and because of the noticeable drop in KD cases during the pandemic, the researchers said.

In a multicenter cohort study published in JAMA Network Open , the researchers reviewed data from 2,461 consecutive patients with KD who were diagnosed between Jan. 1, 2018, and Dec. 31, 2020. They conducted a detailed analysis of analysis of 1,461 children with KD who were diagnosed between Jan. 1, 2002, and Nov. 15, 2021, at Rady Children’s Hospital San Diego (RCHSD), using data from before, during, and after the height of the pandemic. The median age of the children in the RCHSD analysis was 2.8 years, 62% were male, and 35% were Hispanic.

Overall, the prevalence of KD declined from 894 in 2018 to 646 in 2020, across the United States, but the decline was uneven, the researchers noted.

In the RCHSD cohort in San Diego, KD cases in children aged 1-5 years decreased significantly from 2020 to 2021 compared to the mean number of cases in previous years (22 vs. 44.9, P = .02). KD cases also decreased significantly among males and Asian children.

Notably, the occurrence of the KD clinical features of strawberry tongue, enlarged cervical lymph node, and subacute periungual desquamation decreased during 2020 compared with the baseline period, although only strawberry tongue reached statistical significance (39% vs. 63%, P = .04). The prevalence of patients with an enlarged lymph node was 21% in 2020 vs. 32% prior to the pandemic (P = .09); the prevalence of periungual desquamation during these periods was 47% vs. 58%, P = .16).

The researchers also used data from Census Block Groups (CBGs) to assess the impact of mobility metrics and environmental exposures on KD during the pandemic for the San Diego patient cohort. They found that KD cases during the pandemic were more likely to occur in neighborhoods of higher socioeconomic status, and that neighborhoods with lower levels of nitrous oxides had fewer KD cases.

Overall, “The reduction in KD case numbers coincided with masking, school closures, reduced circulation of respiratory viruses, and reduced air pollution,” the researchers wrote in their discussion of the findings. “A rebound in KD case numbers to prepandemic levels coincided with the lifting of mask mandates and, subsequently, the return to in-person schooling,” they wrote.

The study findings were limited by several factors including the small sample sizes, which also limit the interpretation of mobility and pollution data, the researchers noted. Other limitations include the high interannual variability of KD and the inclusion of 2021 rebound data from the San Diego region only.

“Although our original hypothesis was that shelter-in-place measures would track with reduced KD cases, this was not borne out by the San Diego region data. Instead, the San Diego case occurrence data suggest that exposures that triggered KD were more likely to occur in the home, with a shift toward households with higher SES during the pandemic,” the researchers noted. However, “The results presented here are consistent with a respiratory portal of entry for the trigger(s) of KD,” they said.
 

Study fails to validate its conclusions

“This study attempts to test the hypothesis that various social restrictions were associated with a decrease in rate of diagnosed Kawasaki disease cases during portions of the SARS-CoV-2 pandemic,” Mark Gorelik, MD, assistant professor of pediatrics at Columbia University, New York, said in an interview.

“However, it appears that it fails to achieve this conclusion and I disagree with the findings,” said Dr. Gorelik, who was not involved in the study but served as first author on an updated Kawasaki disease treatment guideline published earlier this spring in Arthritis & Rheumatology.

“The study does not find statistically significant associations either with shelter in place orders or with cell phone mobility data, as stated in the conclusion, directly contradicting its own claim,” Dr. Gorelik said. “Secondly, the study makes an assumption that various methods, especially the wearing of masks by children and school closures, had a significant effect on the spread of respiratory viruses. There are no prospective, population based, controlled real world studies that validate this claim, and two prospective controlled real-world studies that dispute this,” he emphasized. “Cloth masks and surgical masks, which were the types of masks worn by school students, are also known to have a nonsignificant and paltry – in the latter, certainly less than 50%, and perhaps as little as 10% – effect on the reduction of respiratory viral spread,” he added.

“Mechanistic studies on mask wearing may suggest some mask efficacy, but these studies are as valid as mechanistic studies showing the effect of various antifungal pharmaceuticals on the replication of SARS-CoV-2 virus in culture, meaning only valid as hypothesis generating, and ultimately the latter hypothesis failed to bear out,” Dr. Gorelik explained. “We do not know the reason why other respiratory viruses and non-SARS-CoV-2 coronaviruses declined during the pandemic, but we do know that despite this, the SARS-CoV-2 coronavirus itself did not appear to suffer the same fate. Thus, it is very possible that another factor was at work, and we know that during other viral pandemics, typically circulating viruses decline, potentially due to induction of interferon responses in hosts, in a general effect known as ‘viral interference,’ ” he said.

“Overall, we must have robust evidence to support benefits of hypotheses that have demonstrated clear damage to children during this pandemic (such as school closures), and this study fails to live up to that requirement,” Dr. Gorelik said.  

The study was supported by the Gordon and Marilyn Macklin Foundation and the Patient-Centered Outcomes Research Institute. Dr. Burney and Dr. Gorelik had no financial conflicts to disclose.

The social behavior associated with the COVID-19 pandemic may have reduced the incidence of Kawasaki disease, according to results of a cohort study of nearly 4,000 children.

The incidence of Kawasaki disease in the United States declined by 28.2% between 2018 and 2020, possibly as a result of factors including school closures, mask mandates, and reduced ambient pollution that might reduce exposure to Kawasaki disease (KD) in the environment, but a potential association has not been explored, wrote Jennifer A. Burney, PhD, of the University of California, San Diego, and colleagues.

KD received greater attention in the public and medical communities because of the emergence of multisystem inflammatory syndrome in children (MIS-C), which is similar to, but distinct from, KD, and because of the noticeable drop in KD cases during the pandemic, the researchers said.

In a multicenter cohort study published in JAMA Network Open , the researchers reviewed data from 2,461 consecutive patients with KD who were diagnosed between Jan. 1, 2018, and Dec. 31, 2020. They conducted a detailed analysis of analysis of 1,461 children with KD who were diagnosed between Jan. 1, 2002, and Nov. 15, 2021, at Rady Children’s Hospital San Diego (RCHSD), using data from before, during, and after the height of the pandemic. The median age of the children in the RCHSD analysis was 2.8 years, 62% were male, and 35% were Hispanic.

Overall, the prevalence of KD declined from 894 in 2018 to 646 in 2020, across the United States, but the decline was uneven, the researchers noted.

In the RCHSD cohort in San Diego, KD cases in children aged 1-5 years decreased significantly from 2020 to 2021 compared to the mean number of cases in previous years (22 vs. 44.9, P = .02). KD cases also decreased significantly among males and Asian children.

Notably, the occurrence of the KD clinical features of strawberry tongue, enlarged cervical lymph node, and subacute periungual desquamation decreased during 2020 compared with the baseline period, although only strawberry tongue reached statistical significance (39% vs. 63%, P = .04). The prevalence of patients with an enlarged lymph node was 21% in 2020 vs. 32% prior to the pandemic (P = .09); the prevalence of periungual desquamation during these periods was 47% vs. 58%, P = .16).

The researchers also used data from Census Block Groups (CBGs) to assess the impact of mobility metrics and environmental exposures on KD during the pandemic for the San Diego patient cohort. They found that KD cases during the pandemic were more likely to occur in neighborhoods of higher socioeconomic status, and that neighborhoods with lower levels of nitrous oxides had fewer KD cases.

Overall, “The reduction in KD case numbers coincided with masking, school closures, reduced circulation of respiratory viruses, and reduced air pollution,” the researchers wrote in their discussion of the findings. “A rebound in KD case numbers to prepandemic levels coincided with the lifting of mask mandates and, subsequently, the return to in-person schooling,” they wrote.

The study findings were limited by several factors including the small sample sizes, which also limit the interpretation of mobility and pollution data, the researchers noted. Other limitations include the high interannual variability of KD and the inclusion of 2021 rebound data from the San Diego region only.

“Although our original hypothesis was that shelter-in-place measures would track with reduced KD cases, this was not borne out by the San Diego region data. Instead, the San Diego case occurrence data suggest that exposures that triggered KD were more likely to occur in the home, with a shift toward households with higher SES during the pandemic,” the researchers noted. However, “The results presented here are consistent with a respiratory portal of entry for the trigger(s) of KD,” they said.
 

Study fails to validate its conclusions

“This study attempts to test the hypothesis that various social restrictions were associated with a decrease in rate of diagnosed Kawasaki disease cases during portions of the SARS-CoV-2 pandemic,” Mark Gorelik, MD, assistant professor of pediatrics at Columbia University, New York, said in an interview.

“However, it appears that it fails to achieve this conclusion and I disagree with the findings,” said Dr. Gorelik, who was not involved in the study but served as first author on an updated Kawasaki disease treatment guideline published earlier this spring in Arthritis & Rheumatology.

“The study does not find statistically significant associations either with shelter in place orders or with cell phone mobility data, as stated in the conclusion, directly contradicting its own claim,” Dr. Gorelik said. “Secondly, the study makes an assumption that various methods, especially the wearing of masks by children and school closures, had a significant effect on the spread of respiratory viruses. There are no prospective, population based, controlled real world studies that validate this claim, and two prospective controlled real-world studies that dispute this,” he emphasized. “Cloth masks and surgical masks, which were the types of masks worn by school students, are also known to have a nonsignificant and paltry – in the latter, certainly less than 50%, and perhaps as little as 10% – effect on the reduction of respiratory viral spread,” he added.

“Mechanistic studies on mask wearing may suggest some mask efficacy, but these studies are as valid as mechanistic studies showing the effect of various antifungal pharmaceuticals on the replication of SARS-CoV-2 virus in culture, meaning only valid as hypothesis generating, and ultimately the latter hypothesis failed to bear out,” Dr. Gorelik explained. “We do not know the reason why other respiratory viruses and non-SARS-CoV-2 coronaviruses declined during the pandemic, but we do know that despite this, the SARS-CoV-2 coronavirus itself did not appear to suffer the same fate. Thus, it is very possible that another factor was at work, and we know that during other viral pandemics, typically circulating viruses decline, potentially due to induction of interferon responses in hosts, in a general effect known as ‘viral interference,’ ” he said.

“Overall, we must have robust evidence to support benefits of hypotheses that have demonstrated clear damage to children during this pandemic (such as school closures), and this study fails to live up to that requirement,” Dr. Gorelik said.  

The study was supported by the Gordon and Marilyn Macklin Foundation and the Patient-Centered Outcomes Research Institute. Dr. Burney and Dr. Gorelik had no financial conflicts to disclose.

Symptoms of obstructive sleep apnea (OSA) were significantly more common in children with autism spectrum disorder (ASD), compared with controls, based on data from 166 individuals up to age 18 years.

Autism spectrum disorder affects approximately 1 in 54 children in the United States, and recent studies have shown an increased risk of obstructive sleep apnea in this population, compared with the general pediatric population, wrote Pooja Santapuram, MD, of Vanderbilt University, Nashville, Tenn., and colleagues.

In a study published in the International Journal of Pediatric Ototrhinolaryngology , the researchers reviewed data from 166 children and adolescents up to 18 years of age with OSA who underwent adenotonsillectomy at a single center between 2019 and 2021. The primary objective was to assess OSA symptoms in children with and without ASD. The study population included 75 children with ASD and 91 controls. The average age of both the ASD group and control group was approximately 73 months.
 

OSA meets ASD

Obstructive sleep apnea is common in autism spectrum disorder. Children with OSA can present with a range of symptoms, including loud snoring, excessive daytime sleepiness, and changes in cognitive function. Some of these symptoms can overlap with and exacerbate symptoms of ASD, potentially delaying OSA diagnosis in children with both conditions. The primary objective of this study was to assess between-group difference in OSA symptomatology and age at OSA diagnosis in children with and without ASD. To do so, a retrospective chart review was conducted on the 166 pediatric patients.

Overall, significantly more OSA symptoms were reported in children with ASD, compared with controls (P < .001).

Lower autism severity was associated with an increased number of reported OSA symptoms (P = .006). There was not a significant between-group difference in age at OSA diagnosis (P = .999); however, lower autism severity was also associated with an increased age at diagnosis (P = .002). These findings suggest that OSA may present with a higher symptom burden in children with ASD, and children with lower ASD severity often experience delays in OSA diagnosis.

Interestingly, despite the known associations between obesity and OSA, children with an increased body mass index were not diagnosed with OSA at an earlier age in this sample population, the researchers indicated.

Because the current study revealed that children with less severe ASD are more likely to report an increased number of OSA symptoms and be diagnosed at a later age than children without ASD, clinicians should have a heightened sense for OSA evaluation in children with ASD, particularly in children with a lower severity of ASD and an increased BMI, the researchers concluded.

The research study was not externally funded, and the researchers reported that they had no conflicts of interest.

Symptoms of obstructive sleep apnea (OSA) were significantly more common in children with autism spectrum disorder (ASD), compared with controls, based on data from 166 individuals up to age 18 years.

Autism spectrum disorder affects approximately 1 in 54 children in the United States, and recent studies have shown an increased risk of obstructive sleep apnea in this population, compared with the general pediatric population, wrote Pooja Santapuram, MD, of Vanderbilt University, Nashville, Tenn., and colleagues.

In a study published in the International Journal of Pediatric Ototrhinolaryngology , the researchers reviewed data from 166 children and adolescents up to 18 years of age with OSA who underwent adenotonsillectomy at a single center between 2019 and 2021. The primary objective was to assess OSA symptoms in children with and without ASD. The study population included 75 children with ASD and 91 controls. The average age of both the ASD group and control group was approximately 73 months.
 

OSA meets ASD

Obstructive sleep apnea is common in autism spectrum disorder. Children with OSA can present with a range of symptoms, including loud snoring, excessive daytime sleepiness, and changes in cognitive function. Some of these symptoms can overlap with and exacerbate symptoms of ASD, potentially delaying OSA diagnosis in children with both conditions. The primary objective of this study was to assess between-group difference in OSA symptomatology and age at OSA diagnosis in children with and without ASD. To do so, a retrospective chart review was conducted on the 166 pediatric patients.

Overall, significantly more OSA symptoms were reported in children with ASD, compared with controls (P < .001).

Lower autism severity was associated with an increased number of reported OSA symptoms (P = .006). There was not a significant between-group difference in age at OSA diagnosis (P = .999); however, lower autism severity was also associated with an increased age at diagnosis (P = .002). These findings suggest that OSA may present with a higher symptom burden in children with ASD, and children with lower ASD severity often experience delays in OSA diagnosis.

Interestingly, despite the known associations between obesity and OSA, children with an increased body mass index were not diagnosed with OSA at an earlier age in this sample population, the researchers indicated.

Because the current study revealed that children with less severe ASD are more likely to report an increased number of OSA symptoms and be diagnosed at a later age than children without ASD, clinicians should have a heightened sense for OSA evaluation in children with ASD, particularly in children with a lower severity of ASD and an increased BMI, the researchers concluded.

The research study was not externally funded, and the researchers reported that they had no conflicts of interest.

Symptoms of obstructive sleep apnea (OSA) were significantly more common in children with autism spectrum disorder (ASD), compared with controls, based on data from 166 individuals up to age 18 years.

Autism spectrum disorder affects approximately 1 in 54 children in the United States, and recent studies have shown an increased risk of obstructive sleep apnea in this population, compared with the general pediatric population, wrote Pooja Santapuram, MD, of Vanderbilt University, Nashville, Tenn., and colleagues.

In a study published in the International Journal of Pediatric Ototrhinolaryngology , the researchers reviewed data from 166 children and adolescents up to 18 years of age with OSA who underwent adenotonsillectomy at a single center between 2019 and 2021. The primary objective was to assess OSA symptoms in children with and without ASD. The study population included 75 children with ASD and 91 controls. The average age of both the ASD group and control group was approximately 73 months.
 

OSA meets ASD

Obstructive sleep apnea is common in autism spectrum disorder. Children with OSA can present with a range of symptoms, including loud snoring, excessive daytime sleepiness, and changes in cognitive function. Some of these symptoms can overlap with and exacerbate symptoms of ASD, potentially delaying OSA diagnosis in children with both conditions. The primary objective of this study was to assess between-group difference in OSA symptomatology and age at OSA diagnosis in children with and without ASD. To do so, a retrospective chart review was conducted on the 166 pediatric patients.

Overall, significantly more OSA symptoms were reported in children with ASD, compared with controls (P < .001).

Lower autism severity was associated with an increased number of reported OSA symptoms (P = .006). There was not a significant between-group difference in age at OSA diagnosis (P = .999); however, lower autism severity was also associated with an increased age at diagnosis (P = .002). These findings suggest that OSA may present with a higher symptom burden in children with ASD, and children with lower ASD severity often experience delays in OSA diagnosis.

Interestingly, despite the known associations between obesity and OSA, children with an increased body mass index were not diagnosed with OSA at an earlier age in this sample population, the researchers indicated.

Because the current study revealed that children with less severe ASD are more likely to report an increased number of OSA symptoms and be diagnosed at a later age than children without ASD, clinicians should have a heightened sense for OSA evaluation in children with ASD, particularly in children with a lower severity of ASD and an increased BMI, the researchers concluded.

The research study was not externally funded, and the researchers reported that they had no conflicts of interest.

Longer circadian periods and irregular sleep were significantly associated with mental health problems in adolescents including depression, anxiety, suicidality, social anxiety, and panic disorder, according to results from a European study.

A range of psychiatric symptoms and conditions has been linked to sleep pathologies, wrote Liisa Kuula, PhD, of the University of Helsinki, Finland, and colleagues. Some research suggests that late circadian rhythms and irregular sleep patterns increase the risk for psychiatric conditions, but the association has not been well studied, especially in adolescents, although the onset of psychiatric problems often occurs at this age, they said.

In a study published in the Journal of Psychiatric Research (2022 Apr 4. doi: 10.1016/j.jpsychires.2022.03.056.), the investigators reviewed data from 342 adolescents who were part of SleepHelsinki! a large cohort study of delayed sleep phase disorder (DSPD) in adolescents. The mean age of the participants was 17.4 years, and 70% were female.

The participants completed the Mini International Neuropsychiatric Interview (MINI) and wore temperature loggers for 3 days to assess circadian rhythms. The primary outcome was the impact of circadian dynamics on different psychiatric problems. Delayed Sleep Phase (DSP) behavior was defined as going to sleep later than 1 a.m. at least three times a week.

Circadian length was determined through the temperature loggers worn for 3 days. Most participants also completed 1-week GeneActiv Original actigraphy measurements (wearing the actigraph for 1 week) and responded to the Morningness-Eveningness Questionnaire, which divided participants into three circadian preference groups: morning, intermediate, and evening. Sleep duration was calculated as total sleep time, sleep quality was estimated by sleep efficiency, and sleep timing was assessed by the midpoint of the sleep period.

Overall, the MINI interview results suggested that approximately one-third (36%) of the teens had at least one psychiatric problem, and 21% had comorbid conditions.

Severe depression was significantly associated with a longer circadian period (P = .002), while suicidality was significantly associated with a later midpoint and more irregular sleep (P = .007 for both).

Participants with agoraphobia slept longer than did those without, the researchers noted (P = .013). However, sleep duration was not significantly associated with other psychiatric conditions.

Manic episodes and psychotic disorders were associated with irregular sleep timing (P < .018 and P < .017, respectively).

When the researchers examined DSP and circadian preferences, they found that 21.5% of individuals with suicidality had characteristics of DSP, as did 21.5% of those with panic disorder.

Individuals with a preference for eveningness were significantly more likely to meet criteria for severe depression, panic disorder, generalized anxiety disorder, and obsessive-compulsive disorder than were those without a preference for eveningness, the researchers noted.

“Our findings are the first to encompass diverse circadian measures alongside an array of psychiatric symptoms in such a focused age range,” the researchers wrote in their discussion. The data reflect results from other studies and extend the likely role of circadian patterns in mental wellbeing, they said.

The study findings were limited by several factors including the lack of actual diagnoses from medical records and use of self-reported symptoms, the researchers noted. Other limitations included the lack of polysomnography data and small size of subgroups of the study sample.

However, the results were strengthened by the heterogenous study population and use of multiple measures to examine sleep and circadian rhythms, as well as consideration of personal circadian preferences, the researchers said.

“The importance of overall synchronization with environment is perhaps best highlighted by response to treatment: most psychopathologic symptoms benefit from sleep-targeted therapeutic approaches,” they concluded.

The study received no outside funding. The researchers had no financial conflicts to disclose.

Longer circadian periods and irregular sleep were significantly associated with mental health problems in adolescents including depression, anxiety, suicidality, social anxiety, and panic disorder, according to results from a European study.

A range of psychiatric symptoms and conditions has been linked to sleep pathologies, wrote Liisa Kuula, PhD, of the University of Helsinki, Finland, and colleagues. Some research suggests that late circadian rhythms and irregular sleep patterns increase the risk for psychiatric conditions, but the association has not been well studied, especially in adolescents, although the onset of psychiatric problems often occurs at this age, they said.

In a study published in the Journal of Psychiatric Research (2022 Apr 4. doi: 10.1016/j.jpsychires.2022.03.056.), the investigators reviewed data from 342 adolescents who were part of SleepHelsinki! a large cohort study of delayed sleep phase disorder (DSPD) in adolescents. The mean age of the participants was 17.4 years, and 70% were female.

The participants completed the Mini International Neuropsychiatric Interview (MINI) and wore temperature loggers for 3 days to assess circadian rhythms. The primary outcome was the impact of circadian dynamics on different psychiatric problems. Delayed Sleep Phase (DSP) behavior was defined as going to sleep later than 1 a.m. at least three times a week.

Circadian length was determined through the temperature loggers worn for 3 days. Most participants also completed 1-week GeneActiv Original actigraphy measurements (wearing the actigraph for 1 week) and responded to the Morningness-Eveningness Questionnaire, which divided participants into three circadian preference groups: morning, intermediate, and evening. Sleep duration was calculated as total sleep time, sleep quality was estimated by sleep efficiency, and sleep timing was assessed by the midpoint of the sleep period.

Overall, the MINI interview results suggested that approximately one-third (36%) of the teens had at least one psychiatric problem, and 21% had comorbid conditions.

Severe depression was significantly associated with a longer circadian period (P = .002), while suicidality was significantly associated with a later midpoint and more irregular sleep (P = .007 for both).

Participants with agoraphobia slept longer than did those without, the researchers noted (P = .013). However, sleep duration was not significantly associated with other psychiatric conditions.

Manic episodes and psychotic disorders were associated with irregular sleep timing (P < .018 and P < .017, respectively).

When the researchers examined DSP and circadian preferences, they found that 21.5% of individuals with suicidality had characteristics of DSP, as did 21.5% of those with panic disorder.

Individuals with a preference for eveningness were significantly more likely to meet criteria for severe depression, panic disorder, generalized anxiety disorder, and obsessive-compulsive disorder than were those without a preference for eveningness, the researchers noted.

“Our findings are the first to encompass diverse circadian measures alongside an array of psychiatric symptoms in such a focused age range,” the researchers wrote in their discussion. The data reflect results from other studies and extend the likely role of circadian patterns in mental wellbeing, they said.

The study findings were limited by several factors including the lack of actual diagnoses from medical records and use of self-reported symptoms, the researchers noted. Other limitations included the lack of polysomnography data and small size of subgroups of the study sample.

However, the results were strengthened by the heterogenous study population and use of multiple measures to examine sleep and circadian rhythms, as well as consideration of personal circadian preferences, the researchers said.

“The importance of overall synchronization with environment is perhaps best highlighted by response to treatment: most psychopathologic symptoms benefit from sleep-targeted therapeutic approaches,” they concluded.

The study received no outside funding. The researchers had no financial conflicts to disclose.

Longer circadian periods and irregular sleep were significantly associated with mental health problems in adolescents including depression, anxiety, suicidality, social anxiety, and panic disorder, according to results from a European study.

A range of psychiatric symptoms and conditions has been linked to sleep pathologies, wrote Liisa Kuula, PhD, of the University of Helsinki, Finland, and colleagues. Some research suggests that late circadian rhythms and irregular sleep patterns increase the risk for psychiatric conditions, but the association has not been well studied, especially in adolescents, although the onset of psychiatric problems often occurs at this age, they said.

In a study published in the Journal of Psychiatric Research (2022 Apr 4. doi: 10.1016/j.jpsychires.2022.03.056.), the investigators reviewed data from 342 adolescents who were part of SleepHelsinki! a large cohort study of delayed sleep phase disorder (DSPD) in adolescents. The mean age of the participants was 17.4 years, and 70% were female.

The participants completed the Mini International Neuropsychiatric Interview (MINI) and wore temperature loggers for 3 days to assess circadian rhythms. The primary outcome was the impact of circadian dynamics on different psychiatric problems. Delayed Sleep Phase (DSP) behavior was defined as going to sleep later than 1 a.m. at least three times a week.

Circadian length was determined through the temperature loggers worn for 3 days. Most participants also completed 1-week GeneActiv Original actigraphy measurements (wearing the actigraph for 1 week) and responded to the Morningness-Eveningness Questionnaire, which divided participants into three circadian preference groups: morning, intermediate, and evening. Sleep duration was calculated as total sleep time, sleep quality was estimated by sleep efficiency, and sleep timing was assessed by the midpoint of the sleep period.

Overall, the MINI interview results suggested that approximately one-third (36%) of the teens had at least one psychiatric problem, and 21% had comorbid conditions.

Severe depression was significantly associated with a longer circadian period (P = .002), while suicidality was significantly associated with a later midpoint and more irregular sleep (P = .007 for both).

Participants with agoraphobia slept longer than did those without, the researchers noted (P = .013). However, sleep duration was not significantly associated with other psychiatric conditions.

Manic episodes and psychotic disorders were associated with irregular sleep timing (P < .018 and P < .017, respectively).

When the researchers examined DSP and circadian preferences, they found that 21.5% of individuals with suicidality had characteristics of DSP, as did 21.5% of those with panic disorder.

Individuals with a preference for eveningness were significantly more likely to meet criteria for severe depression, panic disorder, generalized anxiety disorder, and obsessive-compulsive disorder than were those without a preference for eveningness, the researchers noted.

“Our findings are the first to encompass diverse circadian measures alongside an array of psychiatric symptoms in such a focused age range,” the researchers wrote in their discussion. The data reflect results from other studies and extend the likely role of circadian patterns in mental wellbeing, they said.

The study findings were limited by several factors including the lack of actual diagnoses from medical records and use of self-reported symptoms, the researchers noted. Other limitations included the lack of polysomnography data and small size of subgroups of the study sample.

However, the results were strengthened by the heterogenous study population and use of multiple measures to examine sleep and circadian rhythms, as well as consideration of personal circadian preferences, the researchers said.

“The importance of overall synchronization with environment is perhaps best highlighted by response to treatment: most psychopathologic symptoms benefit from sleep-targeted therapeutic approaches,” they concluded.

The study received no outside funding. The researchers had no financial conflicts to disclose.