Sleep Medicine

Gary* is a 60-year-old race car driver with a history of insulin resistance, elevated cholesterol, and severe reflux. His wife sent him to me when his snoring became so loud and “violent” that she could no longer sleep in the same bedroom. 

She was desperate to help him lose weight in a sustained fashion. All his previous efforts were short-lived due to his self-described pizza and burger addiction. At 5 ft 9 in and 180 lb, his body mass index (BMI) was approximately 26.5 (normal is 18.5-24.9). 

On exam, his arms and legs were relatively thin, but he had a hard, protuberant belly. Given his body habits, comorbidities, and family history of early heart disease, I was worried that his weight would eventually become life-threatening. Solely on the basis of BMI criteria, however, he is not considered to be at high risk. 

This begs the question, are we relying too much on BMI and ignoring central adiposity (ie, belly fat) and comorbid conditions when identifying at-risk patients?

The European Association for the Study of Obesity (EASO) argues exactly this point in its new guidelines published in July 2024. Titled “A New Framework for the Diagnosis, Staging, and Management of Obesity in Adults,” the guidelines assert that obesity should be redefined as a chronic and relapsing adiposity-based disease which may start off as asymptomatic but often becomes life-threatening. 

The guidelines further argue that BMI does not appropriately predict cardiometabolic risk in patients with BMI < 35. Instead, in such patients we should incorporate the use of waist-to-height ratios to reflect the potentially deleterious presence of increased visceral fat. It expands the definition of high-risk patients to include those with BMI > 25 and a waist-to-height ratio > 0.5.

It also suggests that DEXA (dual-energy x-ray absorptiometry) or bioimpedance testing be used when BMI results are ambiguous. The European guidelines recommend considering screening more routinely for eating disorders (with psychometric testing) and depression. The guidelines highlight the importance of long-term goals and of physical activity, nutrition, and psychological support in addition to pharmaceutical treatments.

On the basis of these new guidelines, I attempted to start Gary on Wegovy (semaglutide) along with sending him to a health coach, dietitian, and trainer. Unfortunately, despite documenting a waist-to-height ratio of > 0.6 and elevated fat percentage of just over 30% using bioimpedance, my prior authorization and appeal were summarily rejected by his insurance provider. 

In the United States, pharmacotherapy is typically approved for patients with a BMI of 27 or higher with a comorbidity (like high blood pressure or elevated cholesterol levels) or a BMI over 30. This clearly highlights the need for updated criteria for weight loss medication. Thank goodness for compounded semaglutide to fill this void until the medical world catches up with the EASO guidelines. 

Now on compounded semaglutide, Gary has lost 15 lb. His once rounded belly is nearly flat, and he has a normal waist-to-height ratio. While his dietary choices still leave something to be desired, his portion sizes are much smaller. His snoring has improved considerably. His most recent bioimpedance testing showed a reduced fat percentage of just under 25%.

*Patient’s name has been changed 

Caroline Messer, MD, is Clinical Assistant Professor, Mount Sinai School of Medicine, and Associate Professor, Hofstra School of Medicine, both in New York. She has disclosed no relevant financial relationships.

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

Gary* is a 60-year-old race car driver with a history of insulin resistance, elevated cholesterol, and severe reflux. His wife sent him to me when his snoring became so loud and “violent” that she could no longer sleep in the same bedroom. 

She was desperate to help him lose weight in a sustained fashion. All his previous efforts were short-lived due to his self-described pizza and burger addiction. At 5 ft 9 in and 180 lb, his body mass index (BMI) was approximately 26.5 (normal is 18.5-24.9). 

On exam, his arms and legs were relatively thin, but he had a hard, protuberant belly. Given his body habits, comorbidities, and family history of early heart disease, I was worried that his weight would eventually become life-threatening. Solely on the basis of BMI criteria, however, he is not considered to be at high risk. 

This begs the question, are we relying too much on BMI and ignoring central adiposity (ie, belly fat) and comorbid conditions when identifying at-risk patients?

The European Association for the Study of Obesity (EASO) argues exactly this point in its new guidelines published in July 2024. Titled “A New Framework for the Diagnosis, Staging, and Management of Obesity in Adults,” the guidelines assert that obesity should be redefined as a chronic and relapsing adiposity-based disease which may start off as asymptomatic but often becomes life-threatening. 

The guidelines further argue that BMI does not appropriately predict cardiometabolic risk in patients with BMI < 35. Instead, in such patients we should incorporate the use of waist-to-height ratios to reflect the potentially deleterious presence of increased visceral fat. It expands the definition of high-risk patients to include those with BMI > 25 and a waist-to-height ratio > 0.5.

It also suggests that DEXA (dual-energy x-ray absorptiometry) or bioimpedance testing be used when BMI results are ambiguous. The European guidelines recommend considering screening more routinely for eating disorders (with psychometric testing) and depression. The guidelines highlight the importance of long-term goals and of physical activity, nutrition, and psychological support in addition to pharmaceutical treatments.

On the basis of these new guidelines, I attempted to start Gary on Wegovy (semaglutide) along with sending him to a health coach, dietitian, and trainer. Unfortunately, despite documenting a waist-to-height ratio of > 0.6 and elevated fat percentage of just over 30% using bioimpedance, my prior authorization and appeal were summarily rejected by his insurance provider. 

In the United States, pharmacotherapy is typically approved for patients with a BMI of 27 or higher with a comorbidity (like high blood pressure or elevated cholesterol levels) or a BMI over 30. This clearly highlights the need for updated criteria for weight loss medication. Thank goodness for compounded semaglutide to fill this void until the medical world catches up with the EASO guidelines. 

Now on compounded semaglutide, Gary has lost 15 lb. His once rounded belly is nearly flat, and he has a normal waist-to-height ratio. While his dietary choices still leave something to be desired, his portion sizes are much smaller. His snoring has improved considerably. His most recent bioimpedance testing showed a reduced fat percentage of just under 25%.

*Patient’s name has been changed 

Caroline Messer, MD, is Clinical Assistant Professor, Mount Sinai School of Medicine, and Associate Professor, Hofstra School of Medicine, both in New York. She has disclosed no relevant financial relationships.

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

Gary* is a 60-year-old race car driver with a history of insulin resistance, elevated cholesterol, and severe reflux. His wife sent him to me when his snoring became so loud and “violent” that she could no longer sleep in the same bedroom. 

She was desperate to help him lose weight in a sustained fashion. All his previous efforts were short-lived due to his self-described pizza and burger addiction. At 5 ft 9 in and 180 lb, his body mass index (BMI) was approximately 26.5 (normal is 18.5-24.9). 

On exam, his arms and legs were relatively thin, but he had a hard, protuberant belly. Given his body habits, comorbidities, and family history of early heart disease, I was worried that his weight would eventually become life-threatening. Solely on the basis of BMI criteria, however, he is not considered to be at high risk. 

This begs the question, are we relying too much on BMI and ignoring central adiposity (ie, belly fat) and comorbid conditions when identifying at-risk patients?

The European Association for the Study of Obesity (EASO) argues exactly this point in its new guidelines published in July 2024. Titled “A New Framework for the Diagnosis, Staging, and Management of Obesity in Adults,” the guidelines assert that obesity should be redefined as a chronic and relapsing adiposity-based disease which may start off as asymptomatic but often becomes life-threatening. 

The guidelines further argue that BMI does not appropriately predict cardiometabolic risk in patients with BMI < 35. Instead, in such patients we should incorporate the use of waist-to-height ratios to reflect the potentially deleterious presence of increased visceral fat. It expands the definition of high-risk patients to include those with BMI > 25 and a waist-to-height ratio > 0.5.

It also suggests that DEXA (dual-energy x-ray absorptiometry) or bioimpedance testing be used when BMI results are ambiguous. The European guidelines recommend considering screening more routinely for eating disorders (with psychometric testing) and depression. The guidelines highlight the importance of long-term goals and of physical activity, nutrition, and psychological support in addition to pharmaceutical treatments.

On the basis of these new guidelines, I attempted to start Gary on Wegovy (semaglutide) along with sending him to a health coach, dietitian, and trainer. Unfortunately, despite documenting a waist-to-height ratio of > 0.6 and elevated fat percentage of just over 30% using bioimpedance, my prior authorization and appeal were summarily rejected by his insurance provider. 

In the United States, pharmacotherapy is typically approved for patients with a BMI of 27 or higher with a comorbidity (like high blood pressure or elevated cholesterol levels) or a BMI over 30. This clearly highlights the need for updated criteria for weight loss medication. Thank goodness for compounded semaglutide to fill this void until the medical world catches up with the EASO guidelines. 

Now on compounded semaglutide, Gary has lost 15 lb. His once rounded belly is nearly flat, and he has a normal waist-to-height ratio. While his dietary choices still leave something to be desired, his portion sizes are much smaller. His snoring has improved considerably. His most recent bioimpedance testing showed a reduced fat percentage of just under 25%.

*Patient’s name has been changed 

Caroline Messer, MD, is Clinical Assistant Professor, Mount Sinai School of Medicine, and Associate Professor, Hofstra School of Medicine, both in New York. She has disclosed no relevant financial relationships.

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

What if a drug could help you live a longer, healthier life?

Scientists at the University of Connecticut are working on it. In a new study in Cell Metabolism, researchers described how to target specific cells to extend the lifespan and improve the health of mice late in life.

The study builds on a growing body of research, mostly in animals, testing interventions to slow aging and prolong health span, the length of time that one is not just alive but also healthy.

“Aging is the most important risk factor for every disease that we deal with in adult human beings,” said cardiologist Douglas Vaughan, MD, director of the Potocsnak Longevity Institute at Northwestern University’s Feinberg School of Medicine, Chicago. (Dr. Vaughan was not involved in the new study.) “So the big hypothesis is: If we could slow down aging just a little bit, we can push back the onset of disease.”

As we age, our cells wear out. It’s called cellular senescence — a state of irreversible cell cycle arrest — and it’s increasingly recognized as a key contributor to aging.

Senescent cells — or “zombie cells” — secrete harmful substances that disrupt tissue functioning. They’ve been linked to chronic inflammation, tissue damage, and the development of age-related diseases.

Senescence can be characterized by the accumulation of cells with high levels of specific markers like p21, or p21^high cells. Almost any cell can become a p21^high cell, and they accumulate with age, said Ming Xu, PhD, a professor at the UConn Center on Aging, UConn Health, Farmington, Connecticut, who led the study.

By targeting and eliminating p21^high senescent cells, Dr. Xu hopes to develop novel therapies that might help people live longer and enjoy more years in good health.

Such a treatment could be ready for human trials in 2-5 years, Dr. Xu said.
 

What the Researchers Did

Xu and colleagues used genetic engineering to eliminate p21^high cells in mice, introducing into their genome something they describe as an inducible “suicide gene.” Giving the mice a certain drug (a low dose of tamoxifen) activated the suicide gene in all p21^high cells, causing them to die. Administering this treatment once a month, from age 20 months (older age) until the end of life, significantly extended the rodents’ lifespan, reduced inflammation, and decreased gene activity linked to aging.

Treated mice lived, on average, for 33 months — 3 months longer than the untreated mice. The oldest treated mouse lived to 43 months — roughly 130 in human years.

But the treated mice didn’t just live longer; they were also healthier. In humans, walking speed and grip strength can be clues of overall health and vitality. The old, treated mice were able to walk faster and grip objects with greater strength than untreated mice of the same age.

Dr. Xu’s lab is now testing drugs that target p21^high cells in hopes of finding one that would work in humans. Leveraging immunotherapy technology to target these cells could be another option, Dr. Xu said.

The team also plans to test whether eliminating p21^high cells could prevent or alleviate diabetes or Alzheimer’s disease.
 

Challenges and Criticisms

The research provides “important evidence that targeting senescence and the molecular components of that pathway might provide some benefit in the long term,” Dr. Vaughan said.

But killing senescent cells could come with downsides.

“Senescence protects us from hyperproliferative responses,” potentially blocking cells from becoming malignant, Dr. Vaughan said. “There’s this effect on aging that is desirable, but at the same time, you may enhance your risk of cancer or malignancy or excessive proliferation in some cells.”

And of course, we don’t necessarily need drugs to prolong healthy life, Dr. Vaughan pointed out.

For many people, a long healthy life is already within reach. Humans live longer on average than they used to, and simple lifestyle choices — nourishing your body well, staying active, and maintaining a healthy weight — can increase one’s chances of good health.

The most consistently demonstrated intervention for extending lifespan “in almost every animal species is caloric restriction,” Dr. Vaughan said. (Dr. Xu’s team is also investigating whether fasting and exercise can lead to a decrease in p21^high cells.)

As for brain health, Dr. Vaughan and colleagues at Northwestern are studying “super agers,” people who are cognitively intact into their 90s.

“The one single thing that they found that contributes to that process, and contributes to that success, is really a social network and human bonds and interaction,” Dr. Vaughan said.

A version of this article appeared on Medscape.com.

What if a drug could help you live a longer, healthier life?

Scientists at the University of Connecticut are working on it. In a new study in Cell Metabolism, researchers described how to target specific cells to extend the lifespan and improve the health of mice late in life.

The study builds on a growing body of research, mostly in animals, testing interventions to slow aging and prolong health span, the length of time that one is not just alive but also healthy.

“Aging is the most important risk factor for every disease that we deal with in adult human beings,” said cardiologist Douglas Vaughan, MD, director of the Potocsnak Longevity Institute at Northwestern University’s Feinberg School of Medicine, Chicago. (Dr. Vaughan was not involved in the new study.) “So the big hypothesis is: If we could slow down aging just a little bit, we can push back the onset of disease.”

As we age, our cells wear out. It’s called cellular senescence — a state of irreversible cell cycle arrest — and it’s increasingly recognized as a key contributor to aging.

Senescent cells — or “zombie cells” — secrete harmful substances that disrupt tissue functioning. They’ve been linked to chronic inflammation, tissue damage, and the development of age-related diseases.

Senescence can be characterized by the accumulation of cells with high levels of specific markers like p21, or p21^high cells. Almost any cell can become a p21^high cell, and they accumulate with age, said Ming Xu, PhD, a professor at the UConn Center on Aging, UConn Health, Farmington, Connecticut, who led the study.

By targeting and eliminating p21^high senescent cells, Dr. Xu hopes to develop novel therapies that might help people live longer and enjoy more years in good health.

Such a treatment could be ready for human trials in 2-5 years, Dr. Xu said.
 

What the Researchers Did

Xu and colleagues used genetic engineering to eliminate p21^high cells in mice, introducing into their genome something they describe as an inducible “suicide gene.” Giving the mice a certain drug (a low dose of tamoxifen) activated the suicide gene in all p21^high cells, causing them to die. Administering this treatment once a month, from age 20 months (older age) until the end of life, significantly extended the rodents’ lifespan, reduced inflammation, and decreased gene activity linked to aging.

Treated mice lived, on average, for 33 months — 3 months longer than the untreated mice. The oldest treated mouse lived to 43 months — roughly 130 in human years.

But the treated mice didn’t just live longer; they were also healthier. In humans, walking speed and grip strength can be clues of overall health and vitality. The old, treated mice were able to walk faster and grip objects with greater strength than untreated mice of the same age.

Dr. Xu’s lab is now testing drugs that target p21^high cells in hopes of finding one that would work in humans. Leveraging immunotherapy technology to target these cells could be another option, Dr. Xu said.

The team also plans to test whether eliminating p21^high cells could prevent or alleviate diabetes or Alzheimer’s disease.
 

Challenges and Criticisms

The research provides “important evidence that targeting senescence and the molecular components of that pathway might provide some benefit in the long term,” Dr. Vaughan said.

But killing senescent cells could come with downsides.

“Senescence protects us from hyperproliferative responses,” potentially blocking cells from becoming malignant, Dr. Vaughan said. “There’s this effect on aging that is desirable, but at the same time, you may enhance your risk of cancer or malignancy or excessive proliferation in some cells.”

And of course, we don’t necessarily need drugs to prolong healthy life, Dr. Vaughan pointed out.

For many people, a long healthy life is already within reach. Humans live longer on average than they used to, and simple lifestyle choices — nourishing your body well, staying active, and maintaining a healthy weight — can increase one’s chances of good health.

The most consistently demonstrated intervention for extending lifespan “in almost every animal species is caloric restriction,” Dr. Vaughan said. (Dr. Xu’s team is also investigating whether fasting and exercise can lead to a decrease in p21^high cells.)

As for brain health, Dr. Vaughan and colleagues at Northwestern are studying “super agers,” people who are cognitively intact into their 90s.

“The one single thing that they found that contributes to that process, and contributes to that success, is really a social network and human bonds and interaction,” Dr. Vaughan said.

A version of this article appeared on Medscape.com.

What if a drug could help you live a longer, healthier life?

Scientists at the University of Connecticut are working on it. In a new study in Cell Metabolism, researchers described how to target specific cells to extend the lifespan and improve the health of mice late in life.

The study builds on a growing body of research, mostly in animals, testing interventions to slow aging and prolong health span, the length of time that one is not just alive but also healthy.

“Aging is the most important risk factor for every disease that we deal with in adult human beings,” said cardiologist Douglas Vaughan, MD, director of the Potocsnak Longevity Institute at Northwestern University’s Feinberg School of Medicine, Chicago. (Dr. Vaughan was not involved in the new study.) “So the big hypothesis is: If we could slow down aging just a little bit, we can push back the onset of disease.”

As we age, our cells wear out. It’s called cellular senescence — a state of irreversible cell cycle arrest — and it’s increasingly recognized as a key contributor to aging.

Senescent cells — or “zombie cells” — secrete harmful substances that disrupt tissue functioning. They’ve been linked to chronic inflammation, tissue damage, and the development of age-related diseases.

Senescence can be characterized by the accumulation of cells with high levels of specific markers like p21, or p21^high cells. Almost any cell can become a p21^high cell, and they accumulate with age, said Ming Xu, PhD, a professor at the UConn Center on Aging, UConn Health, Farmington, Connecticut, who led the study.

By targeting and eliminating p21^high senescent cells, Dr. Xu hopes to develop novel therapies that might help people live longer and enjoy more years in good health.

Such a treatment could be ready for human trials in 2-5 years, Dr. Xu said.
 

What the Researchers Did

Xu and colleagues used genetic engineering to eliminate p21^high cells in mice, introducing into their genome something they describe as an inducible “suicide gene.” Giving the mice a certain drug (a low dose of tamoxifen) activated the suicide gene in all p21^high cells, causing them to die. Administering this treatment once a month, from age 20 months (older age) until the end of life, significantly extended the rodents’ lifespan, reduced inflammation, and decreased gene activity linked to aging.

Treated mice lived, on average, for 33 months — 3 months longer than the untreated mice. The oldest treated mouse lived to 43 months — roughly 130 in human years.

But the treated mice didn’t just live longer; they were also healthier. In humans, walking speed and grip strength can be clues of overall health and vitality. The old, treated mice were able to walk faster and grip objects with greater strength than untreated mice of the same age.

Dr. Xu’s lab is now testing drugs that target p21^high cells in hopes of finding one that would work in humans. Leveraging immunotherapy technology to target these cells could be another option, Dr. Xu said.

The team also plans to test whether eliminating p21^high cells could prevent or alleviate diabetes or Alzheimer’s disease.
 

Challenges and Criticisms

The research provides “important evidence that targeting senescence and the molecular components of that pathway might provide some benefit in the long term,” Dr. Vaughan said.

But killing senescent cells could come with downsides.

“Senescence protects us from hyperproliferative responses,” potentially blocking cells from becoming malignant, Dr. Vaughan said. “There’s this effect on aging that is desirable, but at the same time, you may enhance your risk of cancer or malignancy or excessive proliferation in some cells.”

And of course, we don’t necessarily need drugs to prolong healthy life, Dr. Vaughan pointed out.

For many people, a long healthy life is already within reach. Humans live longer on average than they used to, and simple lifestyle choices — nourishing your body well, staying active, and maintaining a healthy weight — can increase one’s chances of good health.

The most consistently demonstrated intervention for extending lifespan “in almost every animal species is caloric restriction,” Dr. Vaughan said. (Dr. Xu’s team is also investigating whether fasting and exercise can lead to a decrease in p21^high cells.)

As for brain health, Dr. Vaughan and colleagues at Northwestern are studying “super agers,” people who are cognitively intact into their 90s.

“The one single thing that they found that contributes to that process, and contributes to that success, is really a social network and human bonds and interaction,” Dr. Vaughan said.

A version of this article appeared on Medscape.com.

A multicomponent nonpharmaceutical intervention improves sleep in people with dementia living at home, early results of a new phase 3 randomized controlled trial (RCT) show.

The benefits of the intervention — called DREAMS-START — were sustained at 8 months and extended to caregivers, the study found.

“We’re pleased with our results. We think that we were able to deliver it successfully and to a high rate of fidelity,” said study investigator Penny Rapaport, PhD, Division of Psychiatry, University College London, England.

The findings were presented at the Alzheimer’s Association International Conference (AAIC) 2024.
 

Sustained, Long-Term Effect

Sleep disturbances are very common in dementia. About 26% of people with all types of dementia will experience sleep disturbances, and that rate is higher in certain dementia subtypes, such as dementia with Lewy bodies, said Dr. Rapaport.

Such disturbances are distressing for people living with dementia as well as for those supporting them, she added. They’re “often the thing that will lead to people transitioning and moving into a care home.”

Dr. Rapaport noted there has not been full RCT evidence that any nonpharmacologic interventions or light-based treatments are effective in improving sleep disturbances.

Medications such as antipsychotics and benzodiazepines aren’t recommended as first-line treatment in people with dementia “because often these can be harmful,” she said.

The study recruited 377 dyads of people living with dementia (mean age, 79.4 years) and their caregivers from 12 national health service sites across England. “We were able to recruit an ethnically diverse sample from a broad socioeconomic background,” said Dr. Rapaport.

Researchers allocated the dyads to the intervention or to a treatment as usual group.

About 92% of participants were included in the intention-to-treat analysis at 8 months, which was the primary time point.

The intervention consists of six 1-hour interactive sessions that are “personalized and tailored to individual goals and needs,” said Dr. Rapaport. It was delivered by supervised, trained graduates, not clinicians.

The sessions focused on components of sleep hygiene (healthy habits, behaviors, and environments); activity and exercise; a tailored sleep routine; strategies to manage distress; natural and artificial light; and relaxation. A whole session was devoted to supporting sleep of caregivers.

The trial included masked outcome assessments, “so the people collecting the data were blinded to the intervention group,” said Dr. Rapaport.

The primary outcome was the Sleep Disorders Inventory (SDI) score. The SDI is a questionnaire about frequency and severity of sleep-disturbed behaviors completed by caregivers; a higher score indicates a worse outcome. The study adjusted for baseline SDI score and study site.

The adjusted mean difference between groups on the SDI was −4.7 points (95% confidence interval [CI], −7.65 to −1.74; P = .002) at 8 months.

The minimal clinically important difference on the SDI is a 4-point change, noted Dr. Rapaport.

The adjusted mean difference on the SDI at 4 months (a secondary outcome) was −4.4 points (95% CI, −7.3 to −1.5; P = .003).

Referring to illustrative graphs, Dr. Rapaport said that SDI scores decreased at both 4 and 8 months. “You can see statistically, there’s a significant difference between groups at both time points,” she said.

“We saw a sustained effect, so not just immediately after the intervention, but afterwards at 8 months.”

As for other secondary outcomes, the study found a significant reduction in neuropsychiatric symptoms among people with dementia at 8 months in the intervention arm relative to the control arm.

In addition, sleep and anxiety significantly improved among caregivers after 8 months. This shows “a picture of things getting better for the person with dementia, and the person who’s caring for them,” said Dr. Rapaport.

She noted the good adherence rate, with almost 83% of people in the intervention arm completing four or more sessions.

Fidelity to the intervention (ie, the extent to which it is implemented as intended) was also high, “so we feel it was delivered well,” said Dr. Rapaport.

Researchers also carried out a health economics analysis and looked at strategies for implementation of the program, but Dr. Rapaport did not discuss those results.
 

Encouraging Findings

Commenting for this news organization, Alex Bahar-Fuchs, PhD, Faculty of Health, School of Psychology, Deakin University, Victoria, Australia, who co-chaired the session featuring the research, said the findings of this “well-powered” RCT are “encouraging,” both for the primary outcome of sleep quality and for some of the secondary outcomes for the care-partner.

“The study adds to the growing evidence behind several nonpharmacological treatment approaches for cognitive and neuropsychiatric symptoms of people with dementia,” he said. 

The results “offer some hope for the treatment of a common disturbance in people with dementia which is associated with poorer outcomes and increased caregiver burden,” he added. 

An important area for further work would be to incorporate more objective measures of sleep quality, said Dr. Bahar-Fuchs.

Because the primary outcome was measured using a self-report questionnaire (the SDI) completed by care-partners, and because the intervention arm could not be blinded, “it remains possible that some detection bias may have affected the study findings,” said Dr. Bahar-Fuchs.

He said he would like to see the research extended to include an active control condition “to be able to better ascertain treatment mechanisms.”

The study was supported by the National Institute of Health and Care Research. Dr. Rapaport and Dr. Bahar-Fuchs reported no relevant conflicts of interest.

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

A multicomponent nonpharmaceutical intervention improves sleep in people with dementia living at home, early results of a new phase 3 randomized controlled trial (RCT) show.

The benefits of the intervention — called DREAMS-START — were sustained at 8 months and extended to caregivers, the study found.

“We’re pleased with our results. We think that we were able to deliver it successfully and to a high rate of fidelity,” said study investigator Penny Rapaport, PhD, Division of Psychiatry, University College London, England.

The findings were presented at the Alzheimer’s Association International Conference (AAIC) 2024.
 

Sustained, Long-Term Effect

Sleep disturbances are very common in dementia. About 26% of people with all types of dementia will experience sleep disturbances, and that rate is higher in certain dementia subtypes, such as dementia with Lewy bodies, said Dr. Rapaport.

Such disturbances are distressing for people living with dementia as well as for those supporting them, she added. They’re “often the thing that will lead to people transitioning and moving into a care home.”

Dr. Rapaport noted there has not been full RCT evidence that any nonpharmacologic interventions or light-based treatments are effective in improving sleep disturbances.

Medications such as antipsychotics and benzodiazepines aren’t recommended as first-line treatment in people with dementia “because often these can be harmful,” she said.

The study recruited 377 dyads of people living with dementia (mean age, 79.4 years) and their caregivers from 12 national health service sites across England. “We were able to recruit an ethnically diverse sample from a broad socioeconomic background,” said Dr. Rapaport.

Researchers allocated the dyads to the intervention or to a treatment as usual group.

About 92% of participants were included in the intention-to-treat analysis at 8 months, which was the primary time point.

The intervention consists of six 1-hour interactive sessions that are “personalized and tailored to individual goals and needs,” said Dr. Rapaport. It was delivered by supervised, trained graduates, not clinicians.

The sessions focused on components of sleep hygiene (healthy habits, behaviors, and environments); activity and exercise; a tailored sleep routine; strategies to manage distress; natural and artificial light; and relaxation. A whole session was devoted to supporting sleep of caregivers.

The trial included masked outcome assessments, “so the people collecting the data were blinded to the intervention group,” said Dr. Rapaport.

The primary outcome was the Sleep Disorders Inventory (SDI) score. The SDI is a questionnaire about frequency and severity of sleep-disturbed behaviors completed by caregivers; a higher score indicates a worse outcome. The study adjusted for baseline SDI score and study site.

The adjusted mean difference between groups on the SDI was −4.7 points (95% confidence interval [CI], −7.65 to −1.74; P = .002) at 8 months.

The minimal clinically important difference on the SDI is a 4-point change, noted Dr. Rapaport.

The adjusted mean difference on the SDI at 4 months (a secondary outcome) was −4.4 points (95% CI, −7.3 to −1.5; P = .003).

Referring to illustrative graphs, Dr. Rapaport said that SDI scores decreased at both 4 and 8 months. “You can see statistically, there’s a significant difference between groups at both time points,” she said.

“We saw a sustained effect, so not just immediately after the intervention, but afterwards at 8 months.”

As for other secondary outcomes, the study found a significant reduction in neuropsychiatric symptoms among people with dementia at 8 months in the intervention arm relative to the control arm.

In addition, sleep and anxiety significantly improved among caregivers after 8 months. This shows “a picture of things getting better for the person with dementia, and the person who’s caring for them,” said Dr. Rapaport.

She noted the good adherence rate, with almost 83% of people in the intervention arm completing four or more sessions.

Fidelity to the intervention (ie, the extent to which it is implemented as intended) was also high, “so we feel it was delivered well,” said Dr. Rapaport.

Researchers also carried out a health economics analysis and looked at strategies for implementation of the program, but Dr. Rapaport did not discuss those results.
 

Encouraging Findings

Commenting for this news organization, Alex Bahar-Fuchs, PhD, Faculty of Health, School of Psychology, Deakin University, Victoria, Australia, who co-chaired the session featuring the research, said the findings of this “well-powered” RCT are “encouraging,” both for the primary outcome of sleep quality and for some of the secondary outcomes for the care-partner.

“The study adds to the growing evidence behind several nonpharmacological treatment approaches for cognitive and neuropsychiatric symptoms of people with dementia,” he said. 

The results “offer some hope for the treatment of a common disturbance in people with dementia which is associated with poorer outcomes and increased caregiver burden,” he added. 

An important area for further work would be to incorporate more objective measures of sleep quality, said Dr. Bahar-Fuchs.

Because the primary outcome was measured using a self-report questionnaire (the SDI) completed by care-partners, and because the intervention arm could not be blinded, “it remains possible that some detection bias may have affected the study findings,” said Dr. Bahar-Fuchs.

He said he would like to see the research extended to include an active control condition “to be able to better ascertain treatment mechanisms.”

The study was supported by the National Institute of Health and Care Research. Dr. Rapaport and Dr. Bahar-Fuchs reported no relevant conflicts of interest.

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

A multicomponent nonpharmaceutical intervention improves sleep in people with dementia living at home, early results of a new phase 3 randomized controlled trial (RCT) show.

The benefits of the intervention — called DREAMS-START — were sustained at 8 months and extended to caregivers, the study found.

“We’re pleased with our results. We think that we were able to deliver it successfully and to a high rate of fidelity,” said study investigator Penny Rapaport, PhD, Division of Psychiatry, University College London, England.

The findings were presented at the Alzheimer’s Association International Conference (AAIC) 2024.
 

Sustained, Long-Term Effect

Sleep disturbances are very common in dementia. About 26% of people with all types of dementia will experience sleep disturbances, and that rate is higher in certain dementia subtypes, such as dementia with Lewy bodies, said Dr. Rapaport.

Such disturbances are distressing for people living with dementia as well as for those supporting them, she added. They’re “often the thing that will lead to people transitioning and moving into a care home.”

Dr. Rapaport noted there has not been full RCT evidence that any nonpharmacologic interventions or light-based treatments are effective in improving sleep disturbances.

Medications such as antipsychotics and benzodiazepines aren’t recommended as first-line treatment in people with dementia “because often these can be harmful,” she said.

The study recruited 377 dyads of people living with dementia (mean age, 79.4 years) and their caregivers from 12 national health service sites across England. “We were able to recruit an ethnically diverse sample from a broad socioeconomic background,” said Dr. Rapaport.

Researchers allocated the dyads to the intervention or to a treatment as usual group.

About 92% of participants were included in the intention-to-treat analysis at 8 months, which was the primary time point.

The intervention consists of six 1-hour interactive sessions that are “personalized and tailored to individual goals and needs,” said Dr. Rapaport. It was delivered by supervised, trained graduates, not clinicians.

The sessions focused on components of sleep hygiene (healthy habits, behaviors, and environments); activity and exercise; a tailored sleep routine; strategies to manage distress; natural and artificial light; and relaxation. A whole session was devoted to supporting sleep of caregivers.

The trial included masked outcome assessments, “so the people collecting the data were blinded to the intervention group,” said Dr. Rapaport.

The primary outcome was the Sleep Disorders Inventory (SDI) score. The SDI is a questionnaire about frequency and severity of sleep-disturbed behaviors completed by caregivers; a higher score indicates a worse outcome. The study adjusted for baseline SDI score and study site.

The adjusted mean difference between groups on the SDI was −4.7 points (95% confidence interval [CI], −7.65 to −1.74; P = .002) at 8 months.

The minimal clinically important difference on the SDI is a 4-point change, noted Dr. Rapaport.

The adjusted mean difference on the SDI at 4 months (a secondary outcome) was −4.4 points (95% CI, −7.3 to −1.5; P = .003).

Referring to illustrative graphs, Dr. Rapaport said that SDI scores decreased at both 4 and 8 months. “You can see statistically, there’s a significant difference between groups at both time points,” she said.

“We saw a sustained effect, so not just immediately after the intervention, but afterwards at 8 months.”

As for other secondary outcomes, the study found a significant reduction in neuropsychiatric symptoms among people with dementia at 8 months in the intervention arm relative to the control arm.

In addition, sleep and anxiety significantly improved among caregivers after 8 months. This shows “a picture of things getting better for the person with dementia, and the person who’s caring for them,” said Dr. Rapaport.

She noted the good adherence rate, with almost 83% of people in the intervention arm completing four or more sessions.

Fidelity to the intervention (ie, the extent to which it is implemented as intended) was also high, “so we feel it was delivered well,” said Dr. Rapaport.

Researchers also carried out a health economics analysis and looked at strategies for implementation of the program, but Dr. Rapaport did not discuss those results.
 

Encouraging Findings

Commenting for this news organization, Alex Bahar-Fuchs, PhD, Faculty of Health, School of Psychology, Deakin University, Victoria, Australia, who co-chaired the session featuring the research, said the findings of this “well-powered” RCT are “encouraging,” both for the primary outcome of sleep quality and for some of the secondary outcomes for the care-partner.

“The study adds to the growing evidence behind several nonpharmacological treatment approaches for cognitive and neuropsychiatric symptoms of people with dementia,” he said. 

The results “offer some hope for the treatment of a common disturbance in people with dementia which is associated with poorer outcomes and increased caregiver burden,” he added. 

An important area for further work would be to incorporate more objective measures of sleep quality, said Dr. Bahar-Fuchs.

Because the primary outcome was measured using a self-report questionnaire (the SDI) completed by care-partners, and because the intervention arm could not be blinded, “it remains possible that some detection bias may have affected the study findings,” said Dr. Bahar-Fuchs.

He said he would like to see the research extended to include an active control condition “to be able to better ascertain treatment mechanisms.”

The study was supported by the National Institute of Health and Care Research. Dr. Rapaport and Dr. Bahar-Fuchs reported no relevant conflicts of interest.

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

Semaglutide products sold online without a prescription may pose multiple risks to consumers, new research found.

Of six test purchases of semaglutide products offered online without a prescription, only three were actually received. The other three vendors demanded additional payment. Of the three delivered, one was potentially contaminated, and all three contained higher concentrations of semaglutide than indicated on the label, potentially resulting in an overdose.

“Semaglutide products are actively being sold without prescription by illegal online pharmacies, with vendors shipping unregistered and falsified products,” wrote Amir Reza Ashraf, PharmD, of the University of Pécs, Hungary, and colleagues in their paper, published online on August 2, 2024, in JAMA Network Open.

The study was conducted in July 2023, but its publication comes a week after the US Food and Drug Administration (FDA) issued an alert about dosing errors in compounded semaglutide, which typically does require a prescription.

Study coauthor Tim K. Mackey, PhD, told this news organization, “Compounding pharmacies are another element of this risk that has become more prominent now but arguably have more controls if prescribed appropriately, while the traditional ‘no-prescription’ online market still exists and will continue to evolve.”

Overall, said Dr. Mackey, professor of global health at the University of California San Diego and director of the Global Health Policy and Data Institute, “consumers take a huge risk when they seek to procure semaglutide outside of a legitimate physician-patient relationship and should only get semaglutide from a licensed and authorized pharmacy after discussing the risks versus benefits with their provider.”

He advises clinicians to actively discuss with their patients the risks associated with semaglutide and, specifically, the dangers of buying it online. “Clinicians can act as a primary information source for patient safety information by letting their patients know about these risks ... and also asking where patients get their medications in case they are concerned about reports of adverse events or other patient safety issues.”
 

Buyer Beware: Online Semaglutide Purchases Not as They Seem

The investigators began by searching online for websites advertising semaglutide without a prescription. They ordered products from six online vendors that showed up prominently in the searches. Of those, three offered prefilled 0.25 mg/dose semaglutide injection pens, while the other three sold vials of lyophilized semaglutide powder to be reconstituted to solution for injection. Prices for the smallest dose and quantity ranged from $113 to $360.

Only three of the ordered products — all vials — actually showed up. The advertised prefilled pens were all nondelivery scams, with requests for an extra payment of $650-$1200 purportedly to clear customs. This was confirmed as fraudulent by customs agencies, the authors noted.

The three vial products were received and assessed physically, of both the packaging and the actual product, by liquid chromatography-mass spectrometry to determine purity and peptide concentration, and microbiologically, to examine sterility.

Using a checklist from the International Pharmaceutical Federation, Dr. Ashraf and colleagues found “clear discrepancies in regulatory registration information, accurate labeling, and evidence products were likely unregistered or unlicensed.”

Quality testing showed that one sample had an elevated presence of endotoxin suggesting possible contamination. While all three actually did contain semaglutide, the measured content exceeded the labeled amount by 29%-39%, posing a risk that users could receive up to 39% more than intended per injection, “particularly concerning if a consumer has to reconstitute and self-inject,” Dr. Mackey noted.

At least one of these sites in this study, “semaspace.com,” was subsequently sent a warning letter by the FDA for unauthorized semaglutide sale, Mackey noted.

Unfortunately, he told this news organization, these dangers are likely to persist. “There is a strong market opportunity to introduce counterfeit and unauthorized versions of semaglutide. Counterfeiters will continue to innovate with where they sell products, what products they offer, and how they mislead consumers about the safety and legality of what they are offering online. We are likely just at the beginning of counterfeiting of semaglutide, and it is likely that these false products will become endemic in our supply chain.”

The research was supported by the Hungarian Scientific Research Fund. The authors had no further disclosures.
 

A version of this article appeared on Medscape.com.

Semaglutide products sold online without a prescription may pose multiple risks to consumers, new research found.

Of six test purchases of semaglutide products offered online without a prescription, only three were actually received. The other three vendors demanded additional payment. Of the three delivered, one was potentially contaminated, and all three contained higher concentrations of semaglutide than indicated on the label, potentially resulting in an overdose.

“Semaglutide products are actively being sold without prescription by illegal online pharmacies, with vendors shipping unregistered and falsified products,” wrote Amir Reza Ashraf, PharmD, of the University of Pécs, Hungary, and colleagues in their paper, published online on August 2, 2024, in JAMA Network Open.

The study was conducted in July 2023, but its publication comes a week after the US Food and Drug Administration (FDA) issued an alert about dosing errors in compounded semaglutide, which typically does require a prescription.

Study coauthor Tim K. Mackey, PhD, told this news organization, “Compounding pharmacies are another element of this risk that has become more prominent now but arguably have more controls if prescribed appropriately, while the traditional ‘no-prescription’ online market still exists and will continue to evolve.”

Overall, said Dr. Mackey, professor of global health at the University of California San Diego and director of the Global Health Policy and Data Institute, “consumers take a huge risk when they seek to procure semaglutide outside of a legitimate physician-patient relationship and should only get semaglutide from a licensed and authorized pharmacy after discussing the risks versus benefits with their provider.”

He advises clinicians to actively discuss with their patients the risks associated with semaglutide and, specifically, the dangers of buying it online. “Clinicians can act as a primary information source for patient safety information by letting their patients know about these risks ... and also asking where patients get their medications in case they are concerned about reports of adverse events or other patient safety issues.”
 

Buyer Beware: Online Semaglutide Purchases Not as They Seem

The investigators began by searching online for websites advertising semaglutide without a prescription. They ordered products from six online vendors that showed up prominently in the searches. Of those, three offered prefilled 0.25 mg/dose semaglutide injection pens, while the other three sold vials of lyophilized semaglutide powder to be reconstituted to solution for injection. Prices for the smallest dose and quantity ranged from $113 to $360.

Only three of the ordered products — all vials — actually showed up. The advertised prefilled pens were all nondelivery scams, with requests for an extra payment of $650-$1200 purportedly to clear customs. This was confirmed as fraudulent by customs agencies, the authors noted.

The three vial products were received and assessed physically, of both the packaging and the actual product, by liquid chromatography-mass spectrometry to determine purity and peptide concentration, and microbiologically, to examine sterility.

Using a checklist from the International Pharmaceutical Federation, Dr. Ashraf and colleagues found “clear discrepancies in regulatory registration information, accurate labeling, and evidence products were likely unregistered or unlicensed.”

Quality testing showed that one sample had an elevated presence of endotoxin suggesting possible contamination. While all three actually did contain semaglutide, the measured content exceeded the labeled amount by 29%-39%, posing a risk that users could receive up to 39% more than intended per injection, “particularly concerning if a consumer has to reconstitute and self-inject,” Dr. Mackey noted.

At least one of these sites in this study, “semaspace.com,” was subsequently sent a warning letter by the FDA for unauthorized semaglutide sale, Mackey noted.

Unfortunately, he told this news organization, these dangers are likely to persist. “There is a strong market opportunity to introduce counterfeit and unauthorized versions of semaglutide. Counterfeiters will continue to innovate with where they sell products, what products they offer, and how they mislead consumers about the safety and legality of what they are offering online. We are likely just at the beginning of counterfeiting of semaglutide, and it is likely that these false products will become endemic in our supply chain.”

The research was supported by the Hungarian Scientific Research Fund. The authors had no further disclosures.
 

A version of this article appeared on Medscape.com.

Semaglutide products sold online without a prescription may pose multiple risks to consumers, new research found.

Of six test purchases of semaglutide products offered online without a prescription, only three were actually received. The other three vendors demanded additional payment. Of the three delivered, one was potentially contaminated, and all three contained higher concentrations of semaglutide than indicated on the label, potentially resulting in an overdose.

“Semaglutide products are actively being sold without prescription by illegal online pharmacies, with vendors shipping unregistered and falsified products,” wrote Amir Reza Ashraf, PharmD, of the University of Pécs, Hungary, and colleagues in their paper, published online on August 2, 2024, in JAMA Network Open.

The study was conducted in July 2023, but its publication comes a week after the US Food and Drug Administration (FDA) issued an alert about dosing errors in compounded semaglutide, which typically does require a prescription.

Study coauthor Tim K. Mackey, PhD, told this news organization, “Compounding pharmacies are another element of this risk that has become more prominent now but arguably have more controls if prescribed appropriately, while the traditional ‘no-prescription’ online market still exists and will continue to evolve.”

Overall, said Dr. Mackey, professor of global health at the University of California San Diego and director of the Global Health Policy and Data Institute, “consumers take a huge risk when they seek to procure semaglutide outside of a legitimate physician-patient relationship and should only get semaglutide from a licensed and authorized pharmacy after discussing the risks versus benefits with their provider.”

He advises clinicians to actively discuss with their patients the risks associated with semaglutide and, specifically, the dangers of buying it online. “Clinicians can act as a primary information source for patient safety information by letting their patients know about these risks ... and also asking where patients get their medications in case they are concerned about reports of adverse events or other patient safety issues.”
 

Buyer Beware: Online Semaglutide Purchases Not as They Seem

The investigators began by searching online for websites advertising semaglutide without a prescription. They ordered products from six online vendors that showed up prominently in the searches. Of those, three offered prefilled 0.25 mg/dose semaglutide injection pens, while the other three sold vials of lyophilized semaglutide powder to be reconstituted to solution for injection. Prices for the smallest dose and quantity ranged from $113 to $360.

Only three of the ordered products — all vials — actually showed up. The advertised prefilled pens were all nondelivery scams, with requests for an extra payment of $650-$1200 purportedly to clear customs. This was confirmed as fraudulent by customs agencies, the authors noted.

The three vial products were received and assessed physically, of both the packaging and the actual product, by liquid chromatography-mass spectrometry to determine purity and peptide concentration, and microbiologically, to examine sterility.

Using a checklist from the International Pharmaceutical Federation, Dr. Ashraf and colleagues found “clear discrepancies in regulatory registration information, accurate labeling, and evidence products were likely unregistered or unlicensed.”

Quality testing showed that one sample had an elevated presence of endotoxin suggesting possible contamination. While all three actually did contain semaglutide, the measured content exceeded the labeled amount by 29%-39%, posing a risk that users could receive up to 39% more than intended per injection, “particularly concerning if a consumer has to reconstitute and self-inject,” Dr. Mackey noted.

At least one of these sites in this study, “semaspace.com,” was subsequently sent a warning letter by the FDA for unauthorized semaglutide sale, Mackey noted.

Unfortunately, he told this news organization, these dangers are likely to persist. “There is a strong market opportunity to introduce counterfeit and unauthorized versions of semaglutide. Counterfeiters will continue to innovate with where they sell products, what products they offer, and how they mislead consumers about the safety and legality of what they are offering online. We are likely just at the beginning of counterfeiting of semaglutide, and it is likely that these false products will become endemic in our supply chain.”

The research was supported by the Hungarian Scientific Research Fund. The authors had no further disclosures.
 

A version of this article appeared on Medscape.com.

Rapid eye movement (REM) sleep, deep sleep, and sleep irregularity were significantly associated with increased risk for a range of chronic diseases, based on a new study of > 6000 individuals. 

“Most of what we think we know about sleep patterns in adults comes from either self-report surveys, which are widely used but have all sorts of problems with over- and under-estimating sleep duration and quality, or single-night sleep studies,” corresponding author Evan L. Brittain, MD, of Vanderbilt University, Nashville, Tennessee, said in an interview. 

The single-night study yields the highest quality data but is limited by extrapolating a single night’s sleep to represent habitual sleep patterns, which is often not the case, he said. In the current study, published in Nature Medicine, “we had a unique opportunity to understand sleep using a large cohort of individuals using wearable devices that measure sleep duration, quality, and variability. The All of Us Research Program is the first to link wearables data to the electronic health record at scale and allowed us to study long-term, real-world sleep behavior,” Dr. Brittain said.

The timing of the study is important because the American Heart Association now recognizes sleep as a key component of heart health, and public awareness of the value of sleep is increasing, he added. 

The researchers reviewed objectively measured, longitudinal sleep data from 6785 adults who used commercial wearable devices (Fitbit) linked to electronic health record data in the All of Us Research Program. The median age of the participants was 50.2 years, 71% were women, and 84% self-identified as White individuals. The median period of sleep monitoring was 4.5 years.

REM sleep and deep sleep were inversely associated with the odds of incident heart rhythm and heart rate abnormalities. Each percent increase in REM sleep was associated with a reduced incidence of atrial fibrillation (odds ratio [OR], 0.86), atrial flutter (OR, 0.78), and sinoatrial node dysfunction/bradycardia (OR, 0.72). A higher percentage of deep sleep was associated with reduced odds of atrial fibrillation (OR, 0.87), major depressive disorder (OR, 0.93), and anxiety disorder (OR, 0.94). 

Increased irregular sleep was significantly associated with increased odds of incident obesity (OR, 1.49), hyperlipidemia (OR, 1.39), and hypertension (OR, 1.56), as well as major depressive disorder (OR, 1.75), anxiety disorder (OR, 1.55), and bipolar disorder (OR, 2.27). 

The researchers also identified J-shaped associations between average daily sleep duration and hypertension (P for nonlinearity = .003), as well as major depressive disorder and generalized anxiety disorder (both P < .001). 

The study was limited by several factors including the relatively young, White, and female study population. However, the results illustrate how sleep stages, duration, and regularity are associated with chronic disease development, and may inform evidence-based recommendations on healthy sleeping habits, the researchers wrote.
 

Findings Support Need for Sleep Consistency 

“The biggest surprise for me was the impact of sleep variability of health,” Dr. Brittain told this news organization. “The more your sleep duration varies, the higher your risk of numerous chronic diseases across the entire spectrum of organ systems. Sleep duration and quality were also important but that was less surprising,” he said. 

The clinical implications of the findings are that sleep duration, quality, and variability are all important, said Dr. Brittain. “To me, the easiest finding to translate into the clinic is the importance of reducing the variability of sleep duration as much as possible,” he said. For patients, that means explaining that they need to go to sleep and wake up at roughly the same time night to night, he said. 

“Commercial wearable devices are not perfect compared with research grade devices, but our study showed that they nonetheless collect clinically relevant information,” Dr. Brittain added. “For patients who own a device, I have adopted the practice of reviewing my patients’ sleep and activity data which gives objective insight into behavior that is not always accurate through routine questioning,” he said.

As for other limitations, “Our cohort was limited to individuals who already owned a Fitbit; not surprisingly, these individuals differ from a random sample of the community in important ways, both demographic and behavioral, and our findings need to be validated in a more diverse population,” said Dr. Brittain. 

Looking ahead, “we are interested in using commercial devices as a tool for sleep interventions to test the impact of improving sleep hygiene on chronic disease incidence, severity, and progression,” he said.
 

Device Data Will Evolve to Inform Patient Care

“With the increasing use of commercial wearable devices, it is crucial to identify and understand the data they can collect,” said Arianne K. Baldomero, MD, a pulmonologist and assistant professor of medicine at the University of Minnesota, Minneapolis, in an interview. “This study specifically analyzed sleep data from Fitbit devices among participants in the All of Us Research Program to assess sleep patterns and their association with chronic disease risk,” said Dr. Baldomero, who was not involved in the study. 

The significant relationships between sleep patterns and risk for chronic diseases were not surprising, said Dr. Baldomero. The findings of an association between shorter sleep duration and greater sleep irregularity with obesity and sleep apnea validated previous studies in large-scale population surveys, she said. Findings from the current study also reflect data from the literature on sleep duration associated with hypertension, major depressive disorder, and generalized anxiety findings, she added.

“This study reinforces the importance of adequate sleep, typically around 7 hours per night, and suggests that insufficient or poor-quality sleep may be associated with chronic diseases,” Dr. Baldomero told this news organization. “Pulmonologists should remain vigilant about sleep-related issues, and consider further investigation and referrals to sleep specialty clinics for patients suspected of having sleep disturbances,” she said.

“What remains unclear is whether abnormal sleep patterns are a cause or an effect of chronic diseases,” Dr. Baldomero noted. “Additionally, it is essential to ensure that these devices accurately capture sleep patterns and continue to validate their data against gold standard measures of sleep disturbances,” she said.

The study was based on work that was partially funded by an unrestricted gift from Google, and the study itself was supported by National Institutes of Health. Dr. Brittain disclosed received research funds unrelated to this work from United Therapeutics. Dr. Baldomero had no financial conflicts to disclose.

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

Rapid eye movement (REM) sleep, deep sleep, and sleep irregularity were significantly associated with increased risk for a range of chronic diseases, based on a new study of > 6000 individuals. 

“Most of what we think we know about sleep patterns in adults comes from either self-report surveys, which are widely used but have all sorts of problems with over- and under-estimating sleep duration and quality, or single-night sleep studies,” corresponding author Evan L. Brittain, MD, of Vanderbilt University, Nashville, Tennessee, said in an interview. 

The single-night study yields the highest quality data but is limited by extrapolating a single night’s sleep to represent habitual sleep patterns, which is often not the case, he said. In the current study, published in Nature Medicine, “we had a unique opportunity to understand sleep using a large cohort of individuals using wearable devices that measure sleep duration, quality, and variability. The All of Us Research Program is the first to link wearables data to the electronic health record at scale and allowed us to study long-term, real-world sleep behavior,” Dr. Brittain said.

The timing of the study is important because the American Heart Association now recognizes sleep as a key component of heart health, and public awareness of the value of sleep is increasing, he added. 

The researchers reviewed objectively measured, longitudinal sleep data from 6785 adults who used commercial wearable devices (Fitbit) linked to electronic health record data in the All of Us Research Program. The median age of the participants was 50.2 years, 71% were women, and 84% self-identified as White individuals. The median period of sleep monitoring was 4.5 years.

REM sleep and deep sleep were inversely associated with the odds of incident heart rhythm and heart rate abnormalities. Each percent increase in REM sleep was associated with a reduced incidence of atrial fibrillation (odds ratio [OR], 0.86), atrial flutter (OR, 0.78), and sinoatrial node dysfunction/bradycardia (OR, 0.72). A higher percentage of deep sleep was associated with reduced odds of atrial fibrillation (OR, 0.87), major depressive disorder (OR, 0.93), and anxiety disorder (OR, 0.94). 

Increased irregular sleep was significantly associated with increased odds of incident obesity (OR, 1.49), hyperlipidemia (OR, 1.39), and hypertension (OR, 1.56), as well as major depressive disorder (OR, 1.75), anxiety disorder (OR, 1.55), and bipolar disorder (OR, 2.27). 

The researchers also identified J-shaped associations between average daily sleep duration and hypertension (P for nonlinearity = .003), as well as major depressive disorder and generalized anxiety disorder (both P < .001). 

The study was limited by several factors including the relatively young, White, and female study population. However, the results illustrate how sleep stages, duration, and regularity are associated with chronic disease development, and may inform evidence-based recommendations on healthy sleeping habits, the researchers wrote.
 

Findings Support Need for Sleep Consistency 

“The biggest surprise for me was the impact of sleep variability of health,” Dr. Brittain told this news organization. “The more your sleep duration varies, the higher your risk of numerous chronic diseases across the entire spectrum of organ systems. Sleep duration and quality were also important but that was less surprising,” he said. 

The clinical implications of the findings are that sleep duration, quality, and variability are all important, said Dr. Brittain. “To me, the easiest finding to translate into the clinic is the importance of reducing the variability of sleep duration as much as possible,” he said. For patients, that means explaining that they need to go to sleep and wake up at roughly the same time night to night, he said. 

“Commercial wearable devices are not perfect compared with research grade devices, but our study showed that they nonetheless collect clinically relevant information,” Dr. Brittain added. “For patients who own a device, I have adopted the practice of reviewing my patients’ sleep and activity data which gives objective insight into behavior that is not always accurate through routine questioning,” he said.

As for other limitations, “Our cohort was limited to individuals who already owned a Fitbit; not surprisingly, these individuals differ from a random sample of the community in important ways, both demographic and behavioral, and our findings need to be validated in a more diverse population,” said Dr. Brittain. 

Looking ahead, “we are interested in using commercial devices as a tool for sleep interventions to test the impact of improving sleep hygiene on chronic disease incidence, severity, and progression,” he said.
 

Device Data Will Evolve to Inform Patient Care

“With the increasing use of commercial wearable devices, it is crucial to identify and understand the data they can collect,” said Arianne K. Baldomero, MD, a pulmonologist and assistant professor of medicine at the University of Minnesota, Minneapolis, in an interview. “This study specifically analyzed sleep data from Fitbit devices among participants in the All of Us Research Program to assess sleep patterns and their association with chronic disease risk,” said Dr. Baldomero, who was not involved in the study. 

The significant relationships between sleep patterns and risk for chronic diseases were not surprising, said Dr. Baldomero. The findings of an association between shorter sleep duration and greater sleep irregularity with obesity and sleep apnea validated previous studies in large-scale population surveys, she said. Findings from the current study also reflect data from the literature on sleep duration associated with hypertension, major depressive disorder, and generalized anxiety findings, she added.

“This study reinforces the importance of adequate sleep, typically around 7 hours per night, and suggests that insufficient or poor-quality sleep may be associated with chronic diseases,” Dr. Baldomero told this news organization. “Pulmonologists should remain vigilant about sleep-related issues, and consider further investigation and referrals to sleep specialty clinics for patients suspected of having sleep disturbances,” she said.

“What remains unclear is whether abnormal sleep patterns are a cause or an effect of chronic diseases,” Dr. Baldomero noted. “Additionally, it is essential to ensure that these devices accurately capture sleep patterns and continue to validate their data against gold standard measures of sleep disturbances,” she said.

The study was based on work that was partially funded by an unrestricted gift from Google, and the study itself was supported by National Institutes of Health. Dr. Brittain disclosed received research funds unrelated to this work from United Therapeutics. Dr. Baldomero had no financial conflicts to disclose.

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

Rapid eye movement (REM) sleep, deep sleep, and sleep irregularity were significantly associated with increased risk for a range of chronic diseases, based on a new study of > 6000 individuals. 

“Most of what we think we know about sleep patterns in adults comes from either self-report surveys, which are widely used but have all sorts of problems with over- and under-estimating sleep duration and quality, or single-night sleep studies,” corresponding author Evan L. Brittain, MD, of Vanderbilt University, Nashville, Tennessee, said in an interview. 

The single-night study yields the highest quality data but is limited by extrapolating a single night’s sleep to represent habitual sleep patterns, which is often not the case, he said. In the current study, published in Nature Medicine, “we had a unique opportunity to understand sleep using a large cohort of individuals using wearable devices that measure sleep duration, quality, and variability. The All of Us Research Program is the first to link wearables data to the electronic health record at scale and allowed us to study long-term, real-world sleep behavior,” Dr. Brittain said.

The timing of the study is important because the American Heart Association now recognizes sleep as a key component of heart health, and public awareness of the value of sleep is increasing, he added. 

The researchers reviewed objectively measured, longitudinal sleep data from 6785 adults who used commercial wearable devices (Fitbit) linked to electronic health record data in the All of Us Research Program. The median age of the participants was 50.2 years, 71% were women, and 84% self-identified as White individuals. The median period of sleep monitoring was 4.5 years.

REM sleep and deep sleep were inversely associated with the odds of incident heart rhythm and heart rate abnormalities. Each percent increase in REM sleep was associated with a reduced incidence of atrial fibrillation (odds ratio [OR], 0.86), atrial flutter (OR, 0.78), and sinoatrial node dysfunction/bradycardia (OR, 0.72). A higher percentage of deep sleep was associated with reduced odds of atrial fibrillation (OR, 0.87), major depressive disorder (OR, 0.93), and anxiety disorder (OR, 0.94). 

Increased irregular sleep was significantly associated with increased odds of incident obesity (OR, 1.49), hyperlipidemia (OR, 1.39), and hypertension (OR, 1.56), as well as major depressive disorder (OR, 1.75), anxiety disorder (OR, 1.55), and bipolar disorder (OR, 2.27). 

The researchers also identified J-shaped associations between average daily sleep duration and hypertension (P for nonlinearity = .003), as well as major depressive disorder and generalized anxiety disorder (both P < .001). 

The study was limited by several factors including the relatively young, White, and female study population. However, the results illustrate how sleep stages, duration, and regularity are associated with chronic disease development, and may inform evidence-based recommendations on healthy sleeping habits, the researchers wrote.
 

Findings Support Need for Sleep Consistency 

“The biggest surprise for me was the impact of sleep variability of health,” Dr. Brittain told this news organization. “The more your sleep duration varies, the higher your risk of numerous chronic diseases across the entire spectrum of organ systems. Sleep duration and quality were also important but that was less surprising,” he said. 

The clinical implications of the findings are that sleep duration, quality, and variability are all important, said Dr. Brittain. “To me, the easiest finding to translate into the clinic is the importance of reducing the variability of sleep duration as much as possible,” he said. For patients, that means explaining that they need to go to sleep and wake up at roughly the same time night to night, he said. 

“Commercial wearable devices are not perfect compared with research grade devices, but our study showed that they nonetheless collect clinically relevant information,” Dr. Brittain added. “For patients who own a device, I have adopted the practice of reviewing my patients’ sleep and activity data which gives objective insight into behavior that is not always accurate through routine questioning,” he said.

As for other limitations, “Our cohort was limited to individuals who already owned a Fitbit; not surprisingly, these individuals differ from a random sample of the community in important ways, both demographic and behavioral, and our findings need to be validated in a more diverse population,” said Dr. Brittain. 

Looking ahead, “we are interested in using commercial devices as a tool for sleep interventions to test the impact of improving sleep hygiene on chronic disease incidence, severity, and progression,” he said.
 

Device Data Will Evolve to Inform Patient Care

“With the increasing use of commercial wearable devices, it is crucial to identify and understand the data they can collect,” said Arianne K. Baldomero, MD, a pulmonologist and assistant professor of medicine at the University of Minnesota, Minneapolis, in an interview. “This study specifically analyzed sleep data from Fitbit devices among participants in the All of Us Research Program to assess sleep patterns and their association with chronic disease risk,” said Dr. Baldomero, who was not involved in the study. 

The significant relationships between sleep patterns and risk for chronic diseases were not surprising, said Dr. Baldomero. The findings of an association between shorter sleep duration and greater sleep irregularity with obesity and sleep apnea validated previous studies in large-scale population surveys, she said. Findings from the current study also reflect data from the literature on sleep duration associated with hypertension, major depressive disorder, and generalized anxiety findings, she added.

“This study reinforces the importance of adequate sleep, typically around 7 hours per night, and suggests that insufficient or poor-quality sleep may be associated with chronic diseases,” Dr. Baldomero told this news organization. “Pulmonologists should remain vigilant about sleep-related issues, and consider further investigation and referrals to sleep specialty clinics for patients suspected of having sleep disturbances,” she said.

“What remains unclear is whether abnormal sleep patterns are a cause or an effect of chronic diseases,” Dr. Baldomero noted. “Additionally, it is essential to ensure that these devices accurately capture sleep patterns and continue to validate their data against gold standard measures of sleep disturbances,” she said.

The study was based on work that was partially funded by an unrestricted gift from Google, and the study itself was supported by National Institutes of Health. Dr. Brittain disclosed received research funds unrelated to this work from United Therapeutics. Dr. Baldomero had no financial conflicts to disclose.

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

CHEST

CHEST

OSA is a very prevalent condition in the general population, but still many patients remain undiagnosed and untreated. Prolonged, untreated OSA is an independent risk factor for major cardiovascular morbidity and mortality. Therefore, timely diagnosis and treatment are required.

Polysomnography (PSG) remains to this day the gold standard for diagnosing sleep apnea. A standard PSG (type I) is performed in a sleep laboratory in the presence of specialized sleep technicians and utilizes EEG, electrooculogram (EOG), and electromyogram (EMG) to determine sleep stages, oronasal thermal and pressure transducer sensors to monitor airflow, respiratory inductance plethysmography to record respiratory effort, EMG for limb movements, pulse oximetry (PulseOx), ECG, and video or body sensor devices to confirm body position. Rising rates of sleep testing have created demand for an alternative to cumbersome, costly, and resource-intensive in-lab PSGs. As such, home sleep apnea testing (HSAT) has emerged as a simpler, more accessible, and cost-effective alternative diagnostic tool.

In 2007, the American Academy of Sleep Medicine (AASM) endorsed Portable Monitoring (PM) as an alternative to standard PSG, with the caveat that it should be used only in patients with a high pretest probability of sleep apnea, without respiratory or cardiovascular disorders and comorbid sleep disorders. All HSAT devices (type II-IV) are required to have a minimum of an oronasal thermal sensor/nasal pressure transducer, respiratory inductance plethysmography, and PulseOx. A major limitation of most HSAT devices is the lack of EEG, preventing detection of cortical arousals and wake time, forcing the use of total recording time as a surrogate for total sleep time.

Peripheral arterial tonometry (PAT)-based HSAT devices are unique in this respect, as their proprietary algorithms allow estimates of total sleep time by monitoring changes in peripheral vascular tone. Anyone who has seen a PAT-based HSAT may have noticed very different outputs from traditional HSATs.

PAT is based on the concept that airflow obstruction may lead to a surge in sympathetic tone, causing vasoconstriction and reduced blood volume in the peripheral vascular bed. A PAT-based device measures relative changes in blood volume and combines this information with actigraphy signals, PulseOx, and heart rate to diagnose the presence of respiratory events. Sleep apnea severity stratification is accomplished by the use of pAHI or pRDI (PAT-based apnea-hypopnea index and respiratory disturbance index, respectively).

PAT-based technology was first approved by the FDA in 2001 as a diagnostic tool for sleep apnea. The 2 best-known medical devices are WatchPAT^® and NightOwl^®, both of which have been FDA-approved and studied against PSG. To obtain an accurate and sustainable PAT signal, WatchPAT has a pneumo-optic finger probe designed to generate a uniform, subdiastolic pressure on the finger that minimizes venous blood pooling, prevents uncontrolled venous backflow, and effectively unloads the arterial wall tension without blocking digital arterial flow. NightOwl is a smaller device, with a single fingertip sensor that acquires actigraphy and PPG data to measure heart rate, Pulse Ox, and PAT.

The physiological basis of PAT relies on photoplethysmography (PPG), a noninvasive optical monitoring technique that generates a waveform, which ultimately correlates with the circulatory volume of the respective tissue.¹ The PPG technology relies on the fact that when a specific tissue is exposed to light signal of a specific wavelength, its absorbance by tissue fluctuates with arterial pulsations. Pulse oximetry represents the most used application of PPG. Recent advances in PPG signal analysis have fueled its use in clinical and consumer sleep technologies and allowed new capabilities, including capturing heart rate and rhythm, pulse rate variability, arterial stiffness, and even—with somewhat less accuracy—energy expenditure, maximum O2 consumption, and blood pressure. Combining actigraphy monitoring with PPG technology took both consumer and medical-grade sleep technologies further, allowing the estimation of parameters such as sleep stages, sleep times, and respiratory events. With myriad new sleep trackers claiming to assess total sleep time, wake time, light or deep sleep, and even respiratory events, the obvious clinical question is centered on their comparative accuracy, as well against more traditional PM and the gold standard PSG.

Numerous studies have evaluated the efficacy of PAT-based devices for diagnosing sleep apnea, with variable findings. Many have shown good correlations between mean AHI and pAHI. Others have highlighted significant discrepancies in the measurements between PSG and PAT, questioning the reliability of PAT-based devices in the diagnosis and severity stratification of OSA. One meta-analysis of 14 studies showed a high degree of correlation between pAHI and AHI.² Another study reported a concordance of 80% between PAT-based testing and consecutive PSG, with an increase to 86% at a higher AHI (>15/h).³ A subsequent meta-analysis showed that PAT was significantly less sensitive for diagnosing OSA than PSG, particularly for mild or moderate severity disease, emphasizing the need for further confirmation with PSG when faced with inconclusive or negative results.⁴ A large sleep clinic-based cohort study of 500 patients with OSA showed that WatchPAT devices misclassify OSA in a sizeable proportion of patients (30%-50%), leading to both over- and under-estimation of severity.⁵ Van Pee, et al, found that their PAT-based HSAT NightOwl performed better, using both the 3% and 4% hypopnea scoring rules and a novel near-border zone labeling.⁶

Some of the discordance in AHI between PAT and PSG appears to be related to age and sex. In our large sample comparing PAT to PSG, we found that using PAT-based data in concert with demographic (age, gender) and anthropometric (neck circumference, body mass index) variables improved the diagnostic accuracy of PAT-based testing.⁷ Another study concluded that manual scoring of WatchPAT automated results improved concordance with PSG, particularly in older participants and women. Several studies on WatchPAT recordings have demonstrated significant artifacts and inaccuracies in the PulseOx data. Although WatchPAT employs automated algorithms to remove erroneous data, a thorough visual inspection and manual correction of study data is still essential to derive accurate results.

Recent studies have found that PAT-based tests can also differentiate between central and obstructive respiratory events by using pulse signal upstroke variations caused by changes in intrathoracic pressure and respiratory/chest wall movement recorded by body position sensors, but large-scale studies are needed to confirm these findings. Korkalainen, et al, recently employed a deep-learning model to perform sleep staging on the PPG PulseOx signals from nearly 900 PSGs in patients with suspected OSA.⁸ The deep learning approach enabled the differentiation of sleep stages and accurate estimation of the total sleep time. Going forward, this could easily enhance the diagnostic yield of PM recordings and enable cost-efficient, long-term monitoring of sleep.

Although PAT-based home sleep tests have emerged as a simple and convenient option for the evaluation of sleep apnea, several studies have highlighted their limited sensitivity as a screening tool for mild and moderate cases of sleep apnea. Furthermore, the scope of these tests remains limited, rendering them rather unsuitable for assessment of more complex sleep disorders like narcolepsy or restless leg syndrome. Therefore, when OSA is suspected, the PAT-based sleep study is a good screening tool, but negative tests should not preclude further investigation. Where a high probability of sleep apnea exists but PAT-based testing shows no or mild OSA, an in-lab sleep study should be performed.


References

1. Ryals S, Chiang A, Schutte-Rodin S, et al. Photoplethysmography -- new applications for an old technology: a sleep technology review. J Clin Sleep Med. 2023;19(1):189-195.

2. Yalamanchali S, Farajian V, Hamilton C, Pott TR, Samuelson CG, Friedman M. Diagnosis of obstructive sleep apnea by peripheral arterial tonometry: meta-analysis. JAMA Otolaryngol Head Neck Surg. 2013;139(12):1343-1350.

3. Röcken J, Schumann DM, Herrmann MJ, et al. Peripheral arterial tonometry versus polysomnography in suspected obstructive sleep apnoea. Eur J Med Res. 2023;28(1):251.

4. Iftikhar IH, Finch CE, Shah AS, Augunstein CA, Ioachimescu OC. A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies. J Clin Sleep Med. 2022;18(4):1093-1102.

5. Ioachimescu OC, Allam JS, Samarghandi A, et al. Performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea in a large sleep clinic cohort. J Clin Sleep Med. 2020;16(10):1663-1674.

6. Van Pee B, Massie F, Vits S, et al. A multicentric validation study of a novel home sleep apnea test based on peripheral arterial tonometry. Sleep. 2022;45(5).

7. Ioachimescu OC, Dholakia SA, Venkateshiah SB, et al. Improving the performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea. J Investig Med. 2020;68(8):1370-1378.

8. Korkalainen H, Aakko J, Duce B, et al. Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea. Sleep. 2020;43(11).
 

CHEST

CHEST

OSA is a very prevalent condition in the general population, but still many patients remain undiagnosed and untreated. Prolonged, untreated OSA is an independent risk factor for major cardiovascular morbidity and mortality. Therefore, timely diagnosis and treatment are required.

Polysomnography (PSG) remains to this day the gold standard for diagnosing sleep apnea. A standard PSG (type I) is performed in a sleep laboratory in the presence of specialized sleep technicians and utilizes EEG, electrooculogram (EOG), and electromyogram (EMG) to determine sleep stages, oronasal thermal and pressure transducer sensors to monitor airflow, respiratory inductance plethysmography to record respiratory effort, EMG for limb movements, pulse oximetry (PulseOx), ECG, and video or body sensor devices to confirm body position. Rising rates of sleep testing have created demand for an alternative to cumbersome, costly, and resource-intensive in-lab PSGs. As such, home sleep apnea testing (HSAT) has emerged as a simpler, more accessible, and cost-effective alternative diagnostic tool.

In 2007, the American Academy of Sleep Medicine (AASM) endorsed Portable Monitoring (PM) as an alternative to standard PSG, with the caveat that it should be used only in patients with a high pretest probability of sleep apnea, without respiratory or cardiovascular disorders and comorbid sleep disorders. All HSAT devices (type II-IV) are required to have a minimum of an oronasal thermal sensor/nasal pressure transducer, respiratory inductance plethysmography, and PulseOx. A major limitation of most HSAT devices is the lack of EEG, preventing detection of cortical arousals and wake time, forcing the use of total recording time as a surrogate for total sleep time.

Peripheral arterial tonometry (PAT)-based HSAT devices are unique in this respect, as their proprietary algorithms allow estimates of total sleep time by monitoring changes in peripheral vascular tone. Anyone who has seen a PAT-based HSAT may have noticed very different outputs from traditional HSATs.

PAT is based on the concept that airflow obstruction may lead to a surge in sympathetic tone, causing vasoconstriction and reduced blood volume in the peripheral vascular bed. A PAT-based device measures relative changes in blood volume and combines this information with actigraphy signals, PulseOx, and heart rate to diagnose the presence of respiratory events. Sleep apnea severity stratification is accomplished by the use of pAHI or pRDI (PAT-based apnea-hypopnea index and respiratory disturbance index, respectively).

PAT-based technology was first approved by the FDA in 2001 as a diagnostic tool for sleep apnea. The 2 best-known medical devices are WatchPAT^® and NightOwl^®, both of which have been FDA-approved and studied against PSG. To obtain an accurate and sustainable PAT signal, WatchPAT has a pneumo-optic finger probe designed to generate a uniform, subdiastolic pressure on the finger that minimizes venous blood pooling, prevents uncontrolled venous backflow, and effectively unloads the arterial wall tension without blocking digital arterial flow. NightOwl is a smaller device, with a single fingertip sensor that acquires actigraphy and PPG data to measure heart rate, Pulse Ox, and PAT.

The physiological basis of PAT relies on photoplethysmography (PPG), a noninvasive optical monitoring technique that generates a waveform, which ultimately correlates with the circulatory volume of the respective tissue.¹ The PPG technology relies on the fact that when a specific tissue is exposed to light signal of a specific wavelength, its absorbance by tissue fluctuates with arterial pulsations. Pulse oximetry represents the most used application of PPG. Recent advances in PPG signal analysis have fueled its use in clinical and consumer sleep technologies and allowed new capabilities, including capturing heart rate and rhythm, pulse rate variability, arterial stiffness, and even—with somewhat less accuracy—energy expenditure, maximum O2 consumption, and blood pressure. Combining actigraphy monitoring with PPG technology took both consumer and medical-grade sleep technologies further, allowing the estimation of parameters such as sleep stages, sleep times, and respiratory events. With myriad new sleep trackers claiming to assess total sleep time, wake time, light or deep sleep, and even respiratory events, the obvious clinical question is centered on their comparative accuracy, as well against more traditional PM and the gold standard PSG.

Numerous studies have evaluated the efficacy of PAT-based devices for diagnosing sleep apnea, with variable findings. Many have shown good correlations between mean AHI and pAHI. Others have highlighted significant discrepancies in the measurements between PSG and PAT, questioning the reliability of PAT-based devices in the diagnosis and severity stratification of OSA. One meta-analysis of 14 studies showed a high degree of correlation between pAHI and AHI.² Another study reported a concordance of 80% between PAT-based testing and consecutive PSG, with an increase to 86% at a higher AHI (>15/h).³ A subsequent meta-analysis showed that PAT was significantly less sensitive for diagnosing OSA than PSG, particularly for mild or moderate severity disease, emphasizing the need for further confirmation with PSG when faced with inconclusive or negative results.⁴ A large sleep clinic-based cohort study of 500 patients with OSA showed that WatchPAT devices misclassify OSA in a sizeable proportion of patients (30%-50%), leading to both over- and under-estimation of severity.⁵ Van Pee, et al, found that their PAT-based HSAT NightOwl performed better, using both the 3% and 4% hypopnea scoring rules and a novel near-border zone labeling.⁶

Some of the discordance in AHI between PAT and PSG appears to be related to age and sex. In our large sample comparing PAT to PSG, we found that using PAT-based data in concert with demographic (age, gender) and anthropometric (neck circumference, body mass index) variables improved the diagnostic accuracy of PAT-based testing.⁷ Another study concluded that manual scoring of WatchPAT automated results improved concordance with PSG, particularly in older participants and women. Several studies on WatchPAT recordings have demonstrated significant artifacts and inaccuracies in the PulseOx data. Although WatchPAT employs automated algorithms to remove erroneous data, a thorough visual inspection and manual correction of study data is still essential to derive accurate results.

Recent studies have found that PAT-based tests can also differentiate between central and obstructive respiratory events by using pulse signal upstroke variations caused by changes in intrathoracic pressure and respiratory/chest wall movement recorded by body position sensors, but large-scale studies are needed to confirm these findings. Korkalainen, et al, recently employed a deep-learning model to perform sleep staging on the PPG PulseOx signals from nearly 900 PSGs in patients with suspected OSA.⁸ The deep learning approach enabled the differentiation of sleep stages and accurate estimation of the total sleep time. Going forward, this could easily enhance the diagnostic yield of PM recordings and enable cost-efficient, long-term monitoring of sleep.

Although PAT-based home sleep tests have emerged as a simple and convenient option for the evaluation of sleep apnea, several studies have highlighted their limited sensitivity as a screening tool for mild and moderate cases of sleep apnea. Furthermore, the scope of these tests remains limited, rendering them rather unsuitable for assessment of more complex sleep disorders like narcolepsy or restless leg syndrome. Therefore, when OSA is suspected, the PAT-based sleep study is a good screening tool, but negative tests should not preclude further investigation. Where a high probability of sleep apnea exists but PAT-based testing shows no or mild OSA, an in-lab sleep study should be performed.


References

1. Ryals S, Chiang A, Schutte-Rodin S, et al. Photoplethysmography -- new applications for an old technology: a sleep technology review. J Clin Sleep Med. 2023;19(1):189-195.

2. Yalamanchali S, Farajian V, Hamilton C, Pott TR, Samuelson CG, Friedman M. Diagnosis of obstructive sleep apnea by peripheral arterial tonometry: meta-analysis. JAMA Otolaryngol Head Neck Surg. 2013;139(12):1343-1350.

3. Röcken J, Schumann DM, Herrmann MJ, et al. Peripheral arterial tonometry versus polysomnography in suspected obstructive sleep apnoea. Eur J Med Res. 2023;28(1):251.

4. Iftikhar IH, Finch CE, Shah AS, Augunstein CA, Ioachimescu OC. A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies. J Clin Sleep Med. 2022;18(4):1093-1102.

5. Ioachimescu OC, Allam JS, Samarghandi A, et al. Performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea in a large sleep clinic cohort. J Clin Sleep Med. 2020;16(10):1663-1674.

6. Van Pee B, Massie F, Vits S, et al. A multicentric validation study of a novel home sleep apnea test based on peripheral arterial tonometry. Sleep. 2022;45(5).

7. Ioachimescu OC, Dholakia SA, Venkateshiah SB, et al. Improving the performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea. J Investig Med. 2020;68(8):1370-1378.

8. Korkalainen H, Aakko J, Duce B, et al. Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea. Sleep. 2020;43(11).
 

CHEST

CHEST

OSA is a very prevalent condition in the general population, but still many patients remain undiagnosed and untreated. Prolonged, untreated OSA is an independent risk factor for major cardiovascular morbidity and mortality. Therefore, timely diagnosis and treatment are required.

Polysomnography (PSG) remains to this day the gold standard for diagnosing sleep apnea. A standard PSG (type I) is performed in a sleep laboratory in the presence of specialized sleep technicians and utilizes EEG, electrooculogram (EOG), and electromyogram (EMG) to determine sleep stages, oronasal thermal and pressure transducer sensors to monitor airflow, respiratory inductance plethysmography to record respiratory effort, EMG for limb movements, pulse oximetry (PulseOx), ECG, and video or body sensor devices to confirm body position. Rising rates of sleep testing have created demand for an alternative to cumbersome, costly, and resource-intensive in-lab PSGs. As such, home sleep apnea testing (HSAT) has emerged as a simpler, more accessible, and cost-effective alternative diagnostic tool.

In 2007, the American Academy of Sleep Medicine (AASM) endorsed Portable Monitoring (PM) as an alternative to standard PSG, with the caveat that it should be used only in patients with a high pretest probability of sleep apnea, without respiratory or cardiovascular disorders and comorbid sleep disorders. All HSAT devices (type II-IV) are required to have a minimum of an oronasal thermal sensor/nasal pressure transducer, respiratory inductance plethysmography, and PulseOx. A major limitation of most HSAT devices is the lack of EEG, preventing detection of cortical arousals and wake time, forcing the use of total recording time as a surrogate for total sleep time.

Peripheral arterial tonometry (PAT)-based HSAT devices are unique in this respect, as their proprietary algorithms allow estimates of total sleep time by monitoring changes in peripheral vascular tone. Anyone who has seen a PAT-based HSAT may have noticed very different outputs from traditional HSATs.

PAT is based on the concept that airflow obstruction may lead to a surge in sympathetic tone, causing vasoconstriction and reduced blood volume in the peripheral vascular bed. A PAT-based device measures relative changes in blood volume and combines this information with actigraphy signals, PulseOx, and heart rate to diagnose the presence of respiratory events. Sleep apnea severity stratification is accomplished by the use of pAHI or pRDI (PAT-based apnea-hypopnea index and respiratory disturbance index, respectively).

PAT-based technology was first approved by the FDA in 2001 as a diagnostic tool for sleep apnea. The 2 best-known medical devices are WatchPAT^® and NightOwl^®, both of which have been FDA-approved and studied against PSG. To obtain an accurate and sustainable PAT signal, WatchPAT has a pneumo-optic finger probe designed to generate a uniform, subdiastolic pressure on the finger that minimizes venous blood pooling, prevents uncontrolled venous backflow, and effectively unloads the arterial wall tension without blocking digital arterial flow. NightOwl is a smaller device, with a single fingertip sensor that acquires actigraphy and PPG data to measure heart rate, Pulse Ox, and PAT.

The physiological basis of PAT relies on photoplethysmography (PPG), a noninvasive optical monitoring technique that generates a waveform, which ultimately correlates with the circulatory volume of the respective tissue.¹ The PPG technology relies on the fact that when a specific tissue is exposed to light signal of a specific wavelength, its absorbance by tissue fluctuates with arterial pulsations. Pulse oximetry represents the most used application of PPG. Recent advances in PPG signal analysis have fueled its use in clinical and consumer sleep technologies and allowed new capabilities, including capturing heart rate and rhythm, pulse rate variability, arterial stiffness, and even—with somewhat less accuracy—energy expenditure, maximum O2 consumption, and blood pressure. Combining actigraphy monitoring with PPG technology took both consumer and medical-grade sleep technologies further, allowing the estimation of parameters such as sleep stages, sleep times, and respiratory events. With myriad new sleep trackers claiming to assess total sleep time, wake time, light or deep sleep, and even respiratory events, the obvious clinical question is centered on their comparative accuracy, as well against more traditional PM and the gold standard PSG.

Numerous studies have evaluated the efficacy of PAT-based devices for diagnosing sleep apnea, with variable findings. Many have shown good correlations between mean AHI and pAHI. Others have highlighted significant discrepancies in the measurements between PSG and PAT, questioning the reliability of PAT-based devices in the diagnosis and severity stratification of OSA. One meta-analysis of 14 studies showed a high degree of correlation between pAHI and AHI.² Another study reported a concordance of 80% between PAT-based testing and consecutive PSG, with an increase to 86% at a higher AHI (>15/h).³ A subsequent meta-analysis showed that PAT was significantly less sensitive for diagnosing OSA than PSG, particularly for mild or moderate severity disease, emphasizing the need for further confirmation with PSG when faced with inconclusive or negative results.⁴ A large sleep clinic-based cohort study of 500 patients with OSA showed that WatchPAT devices misclassify OSA in a sizeable proportion of patients (30%-50%), leading to both over- and under-estimation of severity.⁵ Van Pee, et al, found that their PAT-based HSAT NightOwl performed better, using both the 3% and 4% hypopnea scoring rules and a novel near-border zone labeling.⁶

Some of the discordance in AHI between PAT and PSG appears to be related to age and sex. In our large sample comparing PAT to PSG, we found that using PAT-based data in concert with demographic (age, gender) and anthropometric (neck circumference, body mass index) variables improved the diagnostic accuracy of PAT-based testing.⁷ Another study concluded that manual scoring of WatchPAT automated results improved concordance with PSG, particularly in older participants and women. Several studies on WatchPAT recordings have demonstrated significant artifacts and inaccuracies in the PulseOx data. Although WatchPAT employs automated algorithms to remove erroneous data, a thorough visual inspection and manual correction of study data is still essential to derive accurate results.

Recent studies have found that PAT-based tests can also differentiate between central and obstructive respiratory events by using pulse signal upstroke variations caused by changes in intrathoracic pressure and respiratory/chest wall movement recorded by body position sensors, but large-scale studies are needed to confirm these findings. Korkalainen, et al, recently employed a deep-learning model to perform sleep staging on the PPG PulseOx signals from nearly 900 PSGs in patients with suspected OSA.⁸ The deep learning approach enabled the differentiation of sleep stages and accurate estimation of the total sleep time. Going forward, this could easily enhance the diagnostic yield of PM recordings and enable cost-efficient, long-term monitoring of sleep.

Although PAT-based home sleep tests have emerged as a simple and convenient option for the evaluation of sleep apnea, several studies have highlighted their limited sensitivity as a screening tool for mild and moderate cases of sleep apnea. Furthermore, the scope of these tests remains limited, rendering them rather unsuitable for assessment of more complex sleep disorders like narcolepsy or restless leg syndrome. Therefore, when OSA is suspected, the PAT-based sleep study is a good screening tool, but negative tests should not preclude further investigation. Where a high probability of sleep apnea exists but PAT-based testing shows no or mild OSA, an in-lab sleep study should be performed.


References

1. Ryals S, Chiang A, Schutte-Rodin S, et al. Photoplethysmography -- new applications for an old technology: a sleep technology review. J Clin Sleep Med. 2023;19(1):189-195.

2. Yalamanchali S, Farajian V, Hamilton C, Pott TR, Samuelson CG, Friedman M. Diagnosis of obstructive sleep apnea by peripheral arterial tonometry: meta-analysis. JAMA Otolaryngol Head Neck Surg. 2013;139(12):1343-1350.

3. Röcken J, Schumann DM, Herrmann MJ, et al. Peripheral arterial tonometry versus polysomnography in suspected obstructive sleep apnoea. Eur J Med Res. 2023;28(1):251.

4. Iftikhar IH, Finch CE, Shah AS, Augunstein CA, Ioachimescu OC. A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies. J Clin Sleep Med. 2022;18(4):1093-1102.

5. Ioachimescu OC, Allam JS, Samarghandi A, et al. Performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea in a large sleep clinic cohort. J Clin Sleep Med. 2020;16(10):1663-1674.

6. Van Pee B, Massie F, Vits S, et al. A multicentric validation study of a novel home sleep apnea test based on peripheral arterial tonometry. Sleep. 2022;45(5).

7. Ioachimescu OC, Dholakia SA, Venkateshiah SB, et al. Improving the performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea. J Investig Med. 2020;68(8):1370-1378.

8. Korkalainen H, Aakko J, Duce B, et al. Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea. Sleep. 2020;43(11).
 

Irregular sleep duration was associated with a higher risk for diabetes in middle-aged to older adults in a new UK Biobank study.

The analysis of more than 84,000 participants with 7-day accelerometry data suggested that individuals with the most irregular sleep duration patterns had a 34% higher risk for diabetes compared with their peers who had more consistent sleep patterns.

“It’s recommended to have 7-9 hours of nightly sleep, but what is not considered much in policy guidelines or at the clinical level is how regularly that’s needed,” Sina Kianersi, PhD, of Brigham and Women’s Hospital in Boston, Massachusetts, said in an interview. “What our study added is that it’s not just the duration but keeping it consistent. Patients can reduce their risk of diabetes by maintaining their 7-9 hours of sleep, not just for 1 night but throughout life.”

The study was published online in Diabetes Care.
 

Modifiable Lifestyle Factor

Researchers analyzed data from 84,421 UK Biobank participants who were free of diabetes when they provided accelerometer data in 2013-2015 and who were followed for a median of 7.5 years (622,080 person-years).

Participants had an average age of 62 years, 57% were women, 97% were White individuals, and 50% were employed in non–shift work jobs.

Sleep duration variability was quantified by the within-person standard deviation (SD) of 7-night accelerometer-measured sleep duration.

Participants with higher sleep duration SD were younger and more likely to be women, shift workers, or current smokers; those who reported definite “evening” chronotype (natural preference of the body to sleep at a certain time); those having lower socioeconomic status, higher body mass index, and shorter mean sleep duration; and were less likely to be White individuals.

In addition, a family history of diabetes and of depression was more prevalent among these participants.

A total of 2058 incident diabetes cases occurred during follow-up.

After adjustment for age, sex, and race, compared with a sleep duration SD ≤ 30 minutes, the hazard ratio (HR) was 1.15 for 31-45 minutes, 1.28 for 46-60 minutes, 1.54 for 61-90 minutes, and 1.59 for ≥ 91 minutes.

After the initial adjustment, individuals with a sleep duration SD of > 60 vs ≤ 60 minutes had a 34% higher diabetes risk. However, further adjustment for lifestyle, comorbidities, environmental factors, and adiposity attenuated the association — ie, the HR comparing sleep duration SD of > 60 vs ≤ 60 minutes was 1.11.

Furthermore, researchers found that the association between sleep duration and diabetes was stronger among individuals with lower diabetes polygenic risk score. 

“One possible explanation for this finding is that the impact of sleep irregularity on diabetes risk may be less noticeable in individuals with a high genetic predisposition, where genetic factors dominate,” Dr. Kianersi said. “However, it is important to note that these sleep-gene interaction effects were not consistently observed across different measures and gene-related variables. This is something that remains to be further studied.”

Nevertheless, he added, “I want to emphasize that the association between irregular sleep duration and increased diabetes risk was evident across all levels of diabetes polygenic risk scores.”

The association also was stronger with longer sleep duration. The authors suggested that longer sleep duration “might reduce daylight exposure, which could, in turn, give rise to circadian disruption.”

Overall, Dr. Kianersi said, “Our study identified a modifiable lifestyle factor that can help lower the risk of developing type 2 diabetes.”

The study had several limitations. There was a time lag of a median of 5 years between sleep duration measurements and covariate assessments, which might bias lifestyle behaviors that may vary over time. In addition, a single 7-day sleep duration measurement may not capture long-term sleep patterns. A constrained random sampling approach was used to select participants, raising the potential of selection bias.
 

Regular Sleep Routine Best

Ana Krieger, MD, MPH, director of the Center for Sleep Medicine at Weill Cornell Medicine in New York City, commented on the study for this news organization. “This is a very interesting study, as it adds to the literature,” she said. “Previous research studies have shown metabolic abnormalities with variations in sleep time and duration.”

“This particular study evaluated a large sample of patients in the UK which were mostly White middle-aged and may not be representative of the general population,” she noted. “A similar study in a Hispanic/Latino group failed to demonstrate any significant association between sleep timing variability and incidence of diabetes. It would be desirable to see if prospective studies are able to demonstrate a reduction in diabetes risk by implementing a more regular sleep routine.”

The importance of the body’s natural circadian rhythm in regulating and anchoring many physiological processes was highlighted by the 2017 Nobel Prize of Medicine, which was awarded to three researchers in circadian biology, she pointed out.

“Alterations in the circadian rhythm are known to affect mood regulation, gastrointestinal function, and alertness, among other factors,” she said. “Keeping a regular sleep routine will help to improve our circadian rhythm and better regulate many processes, including our metabolism and appetite-controlling hormones.”

Notably, a study published online in Diabetologia in a racially and economically diverse US population also found that adults with persistent suboptimal sleep durations (< 7 or > 9 hours nightly over a mean of 5 years) were more likely to develop incident diabetes. The strongest association was found among participants reporting extreme changes and higher variability in their sleep durations.

This study was supported by the National Institutes of Health (grant number R01HL155395) and the UKB project 85501. Dr. Kianersi was supported by the American Heart Association Postdoctoral Fellowship. Dr. Kianersi and Dr. Krieger reported no conflicts of interest.

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

Irregular sleep duration was associated with a higher risk for diabetes in middle-aged to older adults in a new UK Biobank study.

The analysis of more than 84,000 participants with 7-day accelerometry data suggested that individuals with the most irregular sleep duration patterns had a 34% higher risk for diabetes compared with their peers who had more consistent sleep patterns.

“It’s recommended to have 7-9 hours of nightly sleep, but what is not considered much in policy guidelines or at the clinical level is how regularly that’s needed,” Sina Kianersi, PhD, of Brigham and Women’s Hospital in Boston, Massachusetts, said in an interview. “What our study added is that it’s not just the duration but keeping it consistent. Patients can reduce their risk of diabetes by maintaining their 7-9 hours of sleep, not just for 1 night but throughout life.”

The study was published online in Diabetes Care.
 

Modifiable Lifestyle Factor

Researchers analyzed data from 84,421 UK Biobank participants who were free of diabetes when they provided accelerometer data in 2013-2015 and who were followed for a median of 7.5 years (622,080 person-years).

Participants had an average age of 62 years, 57% were women, 97% were White individuals, and 50% were employed in non–shift work jobs.

Sleep duration variability was quantified by the within-person standard deviation (SD) of 7-night accelerometer-measured sleep duration.

Participants with higher sleep duration SD were younger and more likely to be women, shift workers, or current smokers; those who reported definite “evening” chronotype (natural preference of the body to sleep at a certain time); those having lower socioeconomic status, higher body mass index, and shorter mean sleep duration; and were less likely to be White individuals.

In addition, a family history of diabetes and of depression was more prevalent among these participants.

A total of 2058 incident diabetes cases occurred during follow-up.

After adjustment for age, sex, and race, compared with a sleep duration SD ≤ 30 minutes, the hazard ratio (HR) was 1.15 for 31-45 minutes, 1.28 for 46-60 minutes, 1.54 for 61-90 minutes, and 1.59 for ≥ 91 minutes.

After the initial adjustment, individuals with a sleep duration SD of > 60 vs ≤ 60 minutes had a 34% higher diabetes risk. However, further adjustment for lifestyle, comorbidities, environmental factors, and adiposity attenuated the association — ie, the HR comparing sleep duration SD of > 60 vs ≤ 60 minutes was 1.11.

Furthermore, researchers found that the association between sleep duration and diabetes was stronger among individuals with lower diabetes polygenic risk score. 

“One possible explanation for this finding is that the impact of sleep irregularity on diabetes risk may be less noticeable in individuals with a high genetic predisposition, where genetic factors dominate,” Dr. Kianersi said. “However, it is important to note that these sleep-gene interaction effects were not consistently observed across different measures and gene-related variables. This is something that remains to be further studied.”

Nevertheless, he added, “I want to emphasize that the association between irregular sleep duration and increased diabetes risk was evident across all levels of diabetes polygenic risk scores.”

The association also was stronger with longer sleep duration. The authors suggested that longer sleep duration “might reduce daylight exposure, which could, in turn, give rise to circadian disruption.”

Overall, Dr. Kianersi said, “Our study identified a modifiable lifestyle factor that can help lower the risk of developing type 2 diabetes.”

The study had several limitations. There was a time lag of a median of 5 years between sleep duration measurements and covariate assessments, which might bias lifestyle behaviors that may vary over time. In addition, a single 7-day sleep duration measurement may not capture long-term sleep patterns. A constrained random sampling approach was used to select participants, raising the potential of selection bias.
 

Regular Sleep Routine Best

Ana Krieger, MD, MPH, director of the Center for Sleep Medicine at Weill Cornell Medicine in New York City, commented on the study for this news organization. “This is a very interesting study, as it adds to the literature,” she said. “Previous research studies have shown metabolic abnormalities with variations in sleep time and duration.”

“This particular study evaluated a large sample of patients in the UK which were mostly White middle-aged and may not be representative of the general population,” she noted. “A similar study in a Hispanic/Latino group failed to demonstrate any significant association between sleep timing variability and incidence of diabetes. It would be desirable to see if prospective studies are able to demonstrate a reduction in diabetes risk by implementing a more regular sleep routine.”

The importance of the body’s natural circadian rhythm in regulating and anchoring many physiological processes was highlighted by the 2017 Nobel Prize of Medicine, which was awarded to three researchers in circadian biology, she pointed out.

“Alterations in the circadian rhythm are known to affect mood regulation, gastrointestinal function, and alertness, among other factors,” she said. “Keeping a regular sleep routine will help to improve our circadian rhythm and better regulate many processes, including our metabolism and appetite-controlling hormones.”

Notably, a study published online in Diabetologia in a racially and economically diverse US population also found that adults with persistent suboptimal sleep durations (< 7 or > 9 hours nightly over a mean of 5 years) were more likely to develop incident diabetes. The strongest association was found among participants reporting extreme changes and higher variability in their sleep durations.

This study was supported by the National Institutes of Health (grant number R01HL155395) and the UKB project 85501. Dr. Kianersi was supported by the American Heart Association Postdoctoral Fellowship. Dr. Kianersi and Dr. Krieger reported no conflicts of interest.

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

Irregular sleep duration was associated with a higher risk for diabetes in middle-aged to older adults in a new UK Biobank study.

The analysis of more than 84,000 participants with 7-day accelerometry data suggested that individuals with the most irregular sleep duration patterns had a 34% higher risk for diabetes compared with their peers who had more consistent sleep patterns.

“It’s recommended to have 7-9 hours of nightly sleep, but what is not considered much in policy guidelines or at the clinical level is how regularly that’s needed,” Sina Kianersi, PhD, of Brigham and Women’s Hospital in Boston, Massachusetts, said in an interview. “What our study added is that it’s not just the duration but keeping it consistent. Patients can reduce their risk of diabetes by maintaining their 7-9 hours of sleep, not just for 1 night but throughout life.”

The study was published online in Diabetes Care.
 

Modifiable Lifestyle Factor

Researchers analyzed data from 84,421 UK Biobank participants who were free of diabetes when they provided accelerometer data in 2013-2015 and who were followed for a median of 7.5 years (622,080 person-years).

Participants had an average age of 62 years, 57% were women, 97% were White individuals, and 50% were employed in non–shift work jobs.

Sleep duration variability was quantified by the within-person standard deviation (SD) of 7-night accelerometer-measured sleep duration.

Participants with higher sleep duration SD were younger and more likely to be women, shift workers, or current smokers; those who reported definite “evening” chronotype (natural preference of the body to sleep at a certain time); those having lower socioeconomic status, higher body mass index, and shorter mean sleep duration; and were less likely to be White individuals.

In addition, a family history of diabetes and of depression was more prevalent among these participants.

A total of 2058 incident diabetes cases occurred during follow-up.

After adjustment for age, sex, and race, compared with a sleep duration SD ≤ 30 minutes, the hazard ratio (HR) was 1.15 for 31-45 minutes, 1.28 for 46-60 minutes, 1.54 for 61-90 minutes, and 1.59 for ≥ 91 minutes.

After the initial adjustment, individuals with a sleep duration SD of > 60 vs ≤ 60 minutes had a 34% higher diabetes risk. However, further adjustment for lifestyle, comorbidities, environmental factors, and adiposity attenuated the association — ie, the HR comparing sleep duration SD of > 60 vs ≤ 60 minutes was 1.11.

Furthermore, researchers found that the association between sleep duration and diabetes was stronger among individuals with lower diabetes polygenic risk score. 

“One possible explanation for this finding is that the impact of sleep irregularity on diabetes risk may be less noticeable in individuals with a high genetic predisposition, where genetic factors dominate,” Dr. Kianersi said. “However, it is important to note that these sleep-gene interaction effects were not consistently observed across different measures and gene-related variables. This is something that remains to be further studied.”

Nevertheless, he added, “I want to emphasize that the association between irregular sleep duration and increased diabetes risk was evident across all levels of diabetes polygenic risk scores.”

The association also was stronger with longer sleep duration. The authors suggested that longer sleep duration “might reduce daylight exposure, which could, in turn, give rise to circadian disruption.”

Overall, Dr. Kianersi said, “Our study identified a modifiable lifestyle factor that can help lower the risk of developing type 2 diabetes.”

The study had several limitations. There was a time lag of a median of 5 years between sleep duration measurements and covariate assessments, which might bias lifestyle behaviors that may vary over time. In addition, a single 7-day sleep duration measurement may not capture long-term sleep patterns. A constrained random sampling approach was used to select participants, raising the potential of selection bias.
 

Regular Sleep Routine Best

Ana Krieger, MD, MPH, director of the Center for Sleep Medicine at Weill Cornell Medicine in New York City, commented on the study for this news organization. “This is a very interesting study, as it adds to the literature,” she said. “Previous research studies have shown metabolic abnormalities with variations in sleep time and duration.”

“This particular study evaluated a large sample of patients in the UK which were mostly White middle-aged and may not be representative of the general population,” she noted. “A similar study in a Hispanic/Latino group failed to demonstrate any significant association between sleep timing variability and incidence of diabetes. It would be desirable to see if prospective studies are able to demonstrate a reduction in diabetes risk by implementing a more regular sleep routine.”

The importance of the body’s natural circadian rhythm in regulating and anchoring many physiological processes was highlighted by the 2017 Nobel Prize of Medicine, which was awarded to three researchers in circadian biology, she pointed out.

“Alterations in the circadian rhythm are known to affect mood regulation, gastrointestinal function, and alertness, among other factors,” she said. “Keeping a regular sleep routine will help to improve our circadian rhythm and better regulate many processes, including our metabolism and appetite-controlling hormones.”

Notably, a study published online in Diabetologia in a racially and economically diverse US population also found that adults with persistent suboptimal sleep durations (< 7 or > 9 hours nightly over a mean of 5 years) were more likely to develop incident diabetes. The strongest association was found among participants reporting extreme changes and higher variability in their sleep durations.

This study was supported by the National Institutes of Health (grant number R01HL155395) and the UKB project 85501. Dr. Kianersi was supported by the American Heart Association Postdoctoral Fellowship. Dr. Kianersi and Dr. Krieger reported no conflicts of interest.

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

Individuals with preexisting sleep disturbances including obstructive sleep apnea (OSA), insomnia, and abnormal sleep duration showed significantly increased vulnerability to COVID-19, as well as an increased risk for hospitalization, mortality, and long COVID, according to new data from more than 8 million individuals.

Sleep disturbances, though common in the general population, are generally overlooked as a risk factor for COVID-19, wrote Jiawei Zhou, MD, of The First Hospital of China Medical University, Shenyang, China, and colleagues. Most previous research has focused on the impact of COVID-19 on sleep disturbances, not the impact of sleep disturbances on COVID-19, and most studies on the latter topic have focused only on OSA, the researchers wrote.

In a meta-analysis published in eClinicalMedicine, part of The Lancet Discovery Science, the researchers identified 48 observational studies published between October 27, 2023, and May 8, 2024, that involved COVID-19 and sleep disturbances including OSA, insomnia, abnormal sleep duration, and night shift work, among others. The study population included 8,664,026 adults.

The primary outcomes were COVID-19 susceptibility, hospitalization, mortality, and long COVID. Overall, the presence of preexisting sleep disturbances was associated with a significantly increased risk for each of these outcomes, with odds ratios (ORs) of 1.12, 1.25, 1.45, and 1.36, respectively.

In subgroup analyses, the association between preexisting sleep disturbances and greater susceptibility and hospitalization was higher in younger adults (younger than 60 years) than in older adults (aged 60 years and older), but the risk for death was lower in younger adults with sleep disturbances than in older adults with sleep disturbances (OR, 1.22 vs OR, 2.07, respectively). Men with sleep disturbances had a higher risk for COVID-19 mortality than women with sleep disturbances.

Preexisting sleep disturbances overall were significantly associated with long COVID and more so in a subgroup analysis of patients whose definition of long COVID was symptoms lasting 3 or more months vs those lasting 1 month (P = .029).

When the researchers broke down associations with COVID-19 outcomes and specific sleep disturbances, they found significant associations between OSA and all four primary outcomes. Abnormal sleep duration was associated with an increased risk for COVID-19 susceptibility, hospitalization, and long COVID. Night shift work was associated with an increased risk for COVID-19 susceptibility and hospitalization, and insomnia was associated with an increased risk for long COVID.

Although the exact mechanism behind the associations between preexisting sleep disturbances and COVID-19 outcomes is uncertain, persistent sleep deprivation could set the stage in various ways, including the promotion of elevated C-reactive protein and interleukin-6 levels, the researchers wrote.

“Overall, the compromised innate and adaptive immune functions combined with a persistent inflammatory state may explain the higher risk of susceptibility, severity, and longer recovery time observed in patients with sleep disturbances. Fortunately, early intervention for sleep disturbances could attenuate the adverse effects of COVID-19,” they noted in their discussion.

The findings were limited by several factors including the observational nature of the studies and the heterogeneity of outcomes, the researchers wrote. Looking ahead, randomized, controlled trials are needed to examine the effect of interventions for sleep disturbances in the prevention and course of COVID-19, they said.

However, the study is the first known to examine multiple types of sleep disturbances and their possible influences on the full clinical course of COVID-19 and support the need for early evaluation and intervention for individuals with sleep disturbances to reduce short-term and long-term effects of the disease, the researchers concluded.
 

Findings Reflect the Need to Address Sleep Issues Early

Although the results of the current study were not surprising, “it is always worth doing meta-analyses to see if there is a potential signal in the published data to suggest a need for a new study,” Arun Chatterjee, MD, professor of pulmonary, critical care, allergy, and immunologic diseases at Wake Forest University, Winston-Salem, North Carolina, said in an interview.

“Lack of sleep, whether acute active deprivation (zero sleep for one night) or subacute/chronic sleep debt, such as only 5 hours per night, has been demonstrated to affect lymphocyte proliferation, reduce immune globulin levels, increase inflammatory markers, shorten telomeres, and affect the immune system in various ways,” said Dr. Chatterjee, who was not involved in the meta-analysis.

The clinical takeaway from the current meta-analysis is that adequate sleep is important for various reasons, Dr. Chatterjee said. “Sleep disruption affects health across a spectrum of systems; adding an annual sleep wellness and screening event to healthcare visits is probably worth the investment,” he noted.

Much more is needed in the way of additional research, Dr. Chatterjee told this news organization. Notably, studies are needed to examine what sleep disruption does to immune status, as well as all other physiologic and mental health systems, he said.

The study was supported by the National Natural Science Foundation of China and the Key Laboratory of Respiratory Diseases of Liaoning Province. The researchers had no financial conflicts to disclose. Chatterjee had no financial conflicts to disclose.
 

A version of this article appeared on Medscape.com.

Individuals with preexisting sleep disturbances including obstructive sleep apnea (OSA), insomnia, and abnormal sleep duration showed significantly increased vulnerability to COVID-19, as well as an increased risk for hospitalization, mortality, and long COVID, according to new data from more than 8 million individuals.

Sleep disturbances, though common in the general population, are generally overlooked as a risk factor for COVID-19, wrote Jiawei Zhou, MD, of The First Hospital of China Medical University, Shenyang, China, and colleagues. Most previous research has focused on the impact of COVID-19 on sleep disturbances, not the impact of sleep disturbances on COVID-19, and most studies on the latter topic have focused only on OSA, the researchers wrote.

In a meta-analysis published in eClinicalMedicine, part of The Lancet Discovery Science, the researchers identified 48 observational studies published between October 27, 2023, and May 8, 2024, that involved COVID-19 and sleep disturbances including OSA, insomnia, abnormal sleep duration, and night shift work, among others. The study population included 8,664,026 adults.

The primary outcomes were COVID-19 susceptibility, hospitalization, mortality, and long COVID. Overall, the presence of preexisting sleep disturbances was associated with a significantly increased risk for each of these outcomes, with odds ratios (ORs) of 1.12, 1.25, 1.45, and 1.36, respectively.

In subgroup analyses, the association between preexisting sleep disturbances and greater susceptibility and hospitalization was higher in younger adults (younger than 60 years) than in older adults (aged 60 years and older), but the risk for death was lower in younger adults with sleep disturbances than in older adults with sleep disturbances (OR, 1.22 vs OR, 2.07, respectively). Men with sleep disturbances had a higher risk for COVID-19 mortality than women with sleep disturbances.

Preexisting sleep disturbances overall were significantly associated with long COVID and more so in a subgroup analysis of patients whose definition of long COVID was symptoms lasting 3 or more months vs those lasting 1 month (P = .029).

When the researchers broke down associations with COVID-19 outcomes and specific sleep disturbances, they found significant associations between OSA and all four primary outcomes. Abnormal sleep duration was associated with an increased risk for COVID-19 susceptibility, hospitalization, and long COVID. Night shift work was associated with an increased risk for COVID-19 susceptibility and hospitalization, and insomnia was associated with an increased risk for long COVID.

Although the exact mechanism behind the associations between preexisting sleep disturbances and COVID-19 outcomes is uncertain, persistent sleep deprivation could set the stage in various ways, including the promotion of elevated C-reactive protein and interleukin-6 levels, the researchers wrote.

“Overall, the compromised innate and adaptive immune functions combined with a persistent inflammatory state may explain the higher risk of susceptibility, severity, and longer recovery time observed in patients with sleep disturbances. Fortunately, early intervention for sleep disturbances could attenuate the adverse effects of COVID-19,” they noted in their discussion.

The findings were limited by several factors including the observational nature of the studies and the heterogeneity of outcomes, the researchers wrote. Looking ahead, randomized, controlled trials are needed to examine the effect of interventions for sleep disturbances in the prevention and course of COVID-19, they said.

However, the study is the first known to examine multiple types of sleep disturbances and their possible influences on the full clinical course of COVID-19 and support the need for early evaluation and intervention for individuals with sleep disturbances to reduce short-term and long-term effects of the disease, the researchers concluded.
 

Findings Reflect the Need to Address Sleep Issues Early

Although the results of the current study were not surprising, “it is always worth doing meta-analyses to see if there is a potential signal in the published data to suggest a need for a new study,” Arun Chatterjee, MD, professor of pulmonary, critical care, allergy, and immunologic diseases at Wake Forest University, Winston-Salem, North Carolina, said in an interview.

“Lack of sleep, whether acute active deprivation (zero sleep for one night) or subacute/chronic sleep debt, such as only 5 hours per night, has been demonstrated to affect lymphocyte proliferation, reduce immune globulin levels, increase inflammatory markers, shorten telomeres, and affect the immune system in various ways,” said Dr. Chatterjee, who was not involved in the meta-analysis.

The clinical takeaway from the current meta-analysis is that adequate sleep is important for various reasons, Dr. Chatterjee said. “Sleep disruption affects health across a spectrum of systems; adding an annual sleep wellness and screening event to healthcare visits is probably worth the investment,” he noted.

Much more is needed in the way of additional research, Dr. Chatterjee told this news organization. Notably, studies are needed to examine what sleep disruption does to immune status, as well as all other physiologic and mental health systems, he said.

The study was supported by the National Natural Science Foundation of China and the Key Laboratory of Respiratory Diseases of Liaoning Province. The researchers had no financial conflicts to disclose. Chatterjee had no financial conflicts to disclose.
 

A version of this article appeared on Medscape.com.

Individuals with preexisting sleep disturbances including obstructive sleep apnea (OSA), insomnia, and abnormal sleep duration showed significantly increased vulnerability to COVID-19, as well as an increased risk for hospitalization, mortality, and long COVID, according to new data from more than 8 million individuals.

Sleep disturbances, though common in the general population, are generally overlooked as a risk factor for COVID-19, wrote Jiawei Zhou, MD, of The First Hospital of China Medical University, Shenyang, China, and colleagues. Most previous research has focused on the impact of COVID-19 on sleep disturbances, not the impact of sleep disturbances on COVID-19, and most studies on the latter topic have focused only on OSA, the researchers wrote.

In a meta-analysis published in eClinicalMedicine, part of The Lancet Discovery Science, the researchers identified 48 observational studies published between October 27, 2023, and May 8, 2024, that involved COVID-19 and sleep disturbances including OSA, insomnia, abnormal sleep duration, and night shift work, among others. The study population included 8,664,026 adults.

The primary outcomes were COVID-19 susceptibility, hospitalization, mortality, and long COVID. Overall, the presence of preexisting sleep disturbances was associated with a significantly increased risk for each of these outcomes, with odds ratios (ORs) of 1.12, 1.25, 1.45, and 1.36, respectively.

In subgroup analyses, the association between preexisting sleep disturbances and greater susceptibility and hospitalization was higher in younger adults (younger than 60 years) than in older adults (aged 60 years and older), but the risk for death was lower in younger adults with sleep disturbances than in older adults with sleep disturbances (OR, 1.22 vs OR, 2.07, respectively). Men with sleep disturbances had a higher risk for COVID-19 mortality than women with sleep disturbances.

Preexisting sleep disturbances overall were significantly associated with long COVID and more so in a subgroup analysis of patients whose definition of long COVID was symptoms lasting 3 or more months vs those lasting 1 month (P = .029).

When the researchers broke down associations with COVID-19 outcomes and specific sleep disturbances, they found significant associations between OSA and all four primary outcomes. Abnormal sleep duration was associated with an increased risk for COVID-19 susceptibility, hospitalization, and long COVID. Night shift work was associated with an increased risk for COVID-19 susceptibility and hospitalization, and insomnia was associated with an increased risk for long COVID.

Although the exact mechanism behind the associations between preexisting sleep disturbances and COVID-19 outcomes is uncertain, persistent sleep deprivation could set the stage in various ways, including the promotion of elevated C-reactive protein and interleukin-6 levels, the researchers wrote.

“Overall, the compromised innate and adaptive immune functions combined with a persistent inflammatory state may explain the higher risk of susceptibility, severity, and longer recovery time observed in patients with sleep disturbances. Fortunately, early intervention for sleep disturbances could attenuate the adverse effects of COVID-19,” they noted in their discussion.

The findings were limited by several factors including the observational nature of the studies and the heterogeneity of outcomes, the researchers wrote. Looking ahead, randomized, controlled trials are needed to examine the effect of interventions for sleep disturbances in the prevention and course of COVID-19, they said.

However, the study is the first known to examine multiple types of sleep disturbances and their possible influences on the full clinical course of COVID-19 and support the need for early evaluation and intervention for individuals with sleep disturbances to reduce short-term and long-term effects of the disease, the researchers concluded.
 

Findings Reflect the Need to Address Sleep Issues Early

Although the results of the current study were not surprising, “it is always worth doing meta-analyses to see if there is a potential signal in the published data to suggest a need for a new study,” Arun Chatterjee, MD, professor of pulmonary, critical care, allergy, and immunologic diseases at Wake Forest University, Winston-Salem, North Carolina, said in an interview.

“Lack of sleep, whether acute active deprivation (zero sleep for one night) or subacute/chronic sleep debt, such as only 5 hours per night, has been demonstrated to affect lymphocyte proliferation, reduce immune globulin levels, increase inflammatory markers, shorten telomeres, and affect the immune system in various ways,” said Dr. Chatterjee, who was not involved in the meta-analysis.

The clinical takeaway from the current meta-analysis is that adequate sleep is important for various reasons, Dr. Chatterjee said. “Sleep disruption affects health across a spectrum of systems; adding an annual sleep wellness and screening event to healthcare visits is probably worth the investment,” he noted.

Much more is needed in the way of additional research, Dr. Chatterjee told this news organization. Notably, studies are needed to examine what sleep disruption does to immune status, as well as all other physiologic and mental health systems, he said.

The study was supported by the National Natural Science Foundation of China and the Key Laboratory of Respiratory Diseases of Liaoning Province. The researchers had no financial conflicts to disclose. Chatterjee had no financial conflicts to disclose.
 

A version of this article appeared on Medscape.com.

Individuals who are more active in the evening performed better on cognitive tests than did those who are typically more active in the morning hours, new research suggests. 

“Rather than just being personal preferences, these chronotypes could impact our cognitive function,” said study investigator, Raha West, MBChB, with Imperial College London, London, England, in a statement.

But the researchers also urged caution when interpreting the findings.

“It’s important to note that this doesn’t mean all morning people have worse cognitive performance. The findings reflect an overall trend where the majority might lean toward better cognition in the evening types,” Dr. West added. 

In addition, across the board, getting the recommended 7-9 hours of nightly sleep was best for cognitive function, and sleeping for less than 7 or more than 9 hours had detrimental effects on brain function regardless of whether an individual was a night owl or lark. 

The study was published online in BMJ Public Health. 
 

A UK Biobank Cohort Study 

The findings are based on a cross-sectional analysis of 26,820 adults aged 53-86 years from the UK Biobank database, who were categorized into two cohorts. 

Cohort 1 had 10,067 participants (56% women) who completed four cognitive tests measuring fluid intelligence/reasoning, pairs matching, reaction time, and prospective memory. Cohort 2 had 16,753 participants (56% women) who completed two cognitive assessments (pairs matching and reaction time).

Participants self-reported sleep duration, chronotype, and quality. Cognitive test scores were evaluated against sleep parameters and health and lifestyle factors including sex, age, vascular and cardiac conditions, diabetes,alcohol use, smoking habits, and body mass index.

The results revealed a positive association between normal sleep duration (7-9 hours) and cognitive scores in Cohort 1 (beta, 0.0567), while extended sleep duration negatively impacted scores across in Cohort 1 and 2 (beta, –0.188 and beta, –0.2619, respectively). 

An individual’s preference for evening or morning activity correlated strongly with their test scores. In particular, night owls consistently performed better on cognitive tests than early birds. 

“While understanding and working with your natural sleep tendencies is essential, it’s equally important to remember to get just enough sleep, not too long or too short,” Dr. West noted. “This is crucial for keeping your brain healthy and functioning at its best.”

Contrary to some previous findings, the study did not find a significant relationship between sleep, sleepiness/insomnia, and cognitive performance. This may be because specific aspects of insomnia, such as severity and chronicity, as well as comorbid conditions need to be considered, the investigators wrote. 

They added that age and diabetes consistently emerged as negative predictors of cognitive functioning across both cohorts, in line with previous research. 

Limitations of the study include the cross-sectional design, which limits causal inferences; the possibility of residual confounding; and reliance on self-reported sleep data.

Also, the study did not adjust for educational attainment, a factor potentially influential on cognitive performance and sleep patterns, because of incomplete data. The study also did not factor in depression and social isolation, which have been shown to increase the risk for cognitive decline.
 

No Real-World Implications

Several outside experts offered their perspective on the study in a statement from the UK nonprofit Science Media Centre. 

The study provides “interesting insights” into the difference in memory and thinking in people who identify themselves as a “morning” or “evening” person, Jacqui Hanley, PhD, with Alzheimer’s Research UK, said in the statement. 

However, without a detailed picture of what is going on in the brain, it’s not clear whether being a morning or evening person affects memory and thinking or whether a decline in cognition is causing changes to sleeping patterns, Dr. Hanley added. 

Roi Cohen Kadosh, PhD, CPsychol, professor of cognitive neuroscience, University of Surrey, Guildford, England, cautioned that there are “multiple potential reasons” for these associations. 

“Therefore, there are no implications in my view for the real world. I fear that the general public will not be able to understand that and will change their sleep pattern, while this study does not give any evidence that this will lead to any benefit,” Dr. Cohen Kadosh said. 

Jessica Chelekis, PhD, MBA, a sleep expert from Brunel University London, Uxbridge, England, said that the “main takeaway should be that the cultural belief that early risers are more productive than ‘night owls’ does not hold up to scientific scrutiny.” 

“While everyone should aim to get good-quality sleep each night, we should also try to be aware of what time of day we are at our (cognitive) best and work in ways that suit us. Night owls, in particular, should not be shamed into fitting a stereotype that favors an ‘early to bed, early to rise’ practice,” Dr. Chelekis said. 

Funding for the study was provided by the Korea Institute of Oriental Medicine in collaboration with Imperial College London. Dr. Hanley, Dr. Cohen Kadosh, and Dr. Chelekis have no relevant disclosures.

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

Individuals who are more active in the evening performed better on cognitive tests than did those who are typically more active in the morning hours, new research suggests. 

“Rather than just being personal preferences, these chronotypes could impact our cognitive function,” said study investigator, Raha West, MBChB, with Imperial College London, London, England, in a statement.

But the researchers also urged caution when interpreting the findings.

“It’s important to note that this doesn’t mean all morning people have worse cognitive performance. The findings reflect an overall trend where the majority might lean toward better cognition in the evening types,” Dr. West added. 

In addition, across the board, getting the recommended 7-9 hours of nightly sleep was best for cognitive function, and sleeping for less than 7 or more than 9 hours had detrimental effects on brain function regardless of whether an individual was a night owl or lark. 

The study was published online in BMJ Public Health. 
 

A UK Biobank Cohort Study 

The findings are based on a cross-sectional analysis of 26,820 adults aged 53-86 years from the UK Biobank database, who were categorized into two cohorts. 

Cohort 1 had 10,067 participants (56% women) who completed four cognitive tests measuring fluid intelligence/reasoning, pairs matching, reaction time, and prospective memory. Cohort 2 had 16,753 participants (56% women) who completed two cognitive assessments (pairs matching and reaction time).

Participants self-reported sleep duration, chronotype, and quality. Cognitive test scores were evaluated against sleep parameters and health and lifestyle factors including sex, age, vascular and cardiac conditions, diabetes,alcohol use, smoking habits, and body mass index.

The results revealed a positive association between normal sleep duration (7-9 hours) and cognitive scores in Cohort 1 (beta, 0.0567), while extended sleep duration negatively impacted scores across in Cohort 1 and 2 (beta, –0.188 and beta, –0.2619, respectively). 

An individual’s preference for evening or morning activity correlated strongly with their test scores. In particular, night owls consistently performed better on cognitive tests than early birds. 

“While understanding and working with your natural sleep tendencies is essential, it’s equally important to remember to get just enough sleep, not too long or too short,” Dr. West noted. “This is crucial for keeping your brain healthy and functioning at its best.”

Contrary to some previous findings, the study did not find a significant relationship between sleep, sleepiness/insomnia, and cognitive performance. This may be because specific aspects of insomnia, such as severity and chronicity, as well as comorbid conditions need to be considered, the investigators wrote. 

They added that age and diabetes consistently emerged as negative predictors of cognitive functioning across both cohorts, in line with previous research. 

Limitations of the study include the cross-sectional design, which limits causal inferences; the possibility of residual confounding; and reliance on self-reported sleep data.

Also, the study did not adjust for educational attainment, a factor potentially influential on cognitive performance and sleep patterns, because of incomplete data. The study also did not factor in depression and social isolation, which have been shown to increase the risk for cognitive decline.
 

No Real-World Implications

Several outside experts offered their perspective on the study in a statement from the UK nonprofit Science Media Centre. 

The study provides “interesting insights” into the difference in memory and thinking in people who identify themselves as a “morning” or “evening” person, Jacqui Hanley, PhD, with Alzheimer’s Research UK, said in the statement. 

However, without a detailed picture of what is going on in the brain, it’s not clear whether being a morning or evening person affects memory and thinking or whether a decline in cognition is causing changes to sleeping patterns, Dr. Hanley added. 

Roi Cohen Kadosh, PhD, CPsychol, professor of cognitive neuroscience, University of Surrey, Guildford, England, cautioned that there are “multiple potential reasons” for these associations. 

“Therefore, there are no implications in my view for the real world. I fear that the general public will not be able to understand that and will change their sleep pattern, while this study does not give any evidence that this will lead to any benefit,” Dr. Cohen Kadosh said. 

Jessica Chelekis, PhD, MBA, a sleep expert from Brunel University London, Uxbridge, England, said that the “main takeaway should be that the cultural belief that early risers are more productive than ‘night owls’ does not hold up to scientific scrutiny.” 

“While everyone should aim to get good-quality sleep each night, we should also try to be aware of what time of day we are at our (cognitive) best and work in ways that suit us. Night owls, in particular, should not be shamed into fitting a stereotype that favors an ‘early to bed, early to rise’ practice,” Dr. Chelekis said. 

Funding for the study was provided by the Korea Institute of Oriental Medicine in collaboration with Imperial College London. Dr. Hanley, Dr. Cohen Kadosh, and Dr. Chelekis have no relevant disclosures.

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

Individuals who are more active in the evening performed better on cognitive tests than did those who are typically more active in the morning hours, new research suggests. 

“Rather than just being personal preferences, these chronotypes could impact our cognitive function,” said study investigator, Raha West, MBChB, with Imperial College London, London, England, in a statement.

But the researchers also urged caution when interpreting the findings.

“It’s important to note that this doesn’t mean all morning people have worse cognitive performance. The findings reflect an overall trend where the majority might lean toward better cognition in the evening types,” Dr. West added. 

In addition, across the board, getting the recommended 7-9 hours of nightly sleep was best for cognitive function, and sleeping for less than 7 or more than 9 hours had detrimental effects on brain function regardless of whether an individual was a night owl or lark. 

The study was published online in BMJ Public Health. 
 

A UK Biobank Cohort Study 

The findings are based on a cross-sectional analysis of 26,820 adults aged 53-86 years from the UK Biobank database, who were categorized into two cohorts. 

Cohort 1 had 10,067 participants (56% women) who completed four cognitive tests measuring fluid intelligence/reasoning, pairs matching, reaction time, and prospective memory. Cohort 2 had 16,753 participants (56% women) who completed two cognitive assessments (pairs matching and reaction time).

Participants self-reported sleep duration, chronotype, and quality. Cognitive test scores were evaluated against sleep parameters and health and lifestyle factors including sex, age, vascular and cardiac conditions, diabetes,alcohol use, smoking habits, and body mass index.

The results revealed a positive association between normal sleep duration (7-9 hours) and cognitive scores in Cohort 1 (beta, 0.0567), while extended sleep duration negatively impacted scores across in Cohort 1 and 2 (beta, –0.188 and beta, –0.2619, respectively). 

An individual’s preference for evening or morning activity correlated strongly with their test scores. In particular, night owls consistently performed better on cognitive tests than early birds. 

“While understanding and working with your natural sleep tendencies is essential, it’s equally important to remember to get just enough sleep, not too long or too short,” Dr. West noted. “This is crucial for keeping your brain healthy and functioning at its best.”

Contrary to some previous findings, the study did not find a significant relationship between sleep, sleepiness/insomnia, and cognitive performance. This may be because specific aspects of insomnia, such as severity and chronicity, as well as comorbid conditions need to be considered, the investigators wrote. 

They added that age and diabetes consistently emerged as negative predictors of cognitive functioning across both cohorts, in line with previous research. 

Limitations of the study include the cross-sectional design, which limits causal inferences; the possibility of residual confounding; and reliance on self-reported sleep data.

Also, the study did not adjust for educational attainment, a factor potentially influential on cognitive performance and sleep patterns, because of incomplete data. The study also did not factor in depression and social isolation, which have been shown to increase the risk for cognitive decline.
 

No Real-World Implications

Several outside experts offered their perspective on the study in a statement from the UK nonprofit Science Media Centre. 

The study provides “interesting insights” into the difference in memory and thinking in people who identify themselves as a “morning” or “evening” person, Jacqui Hanley, PhD, with Alzheimer’s Research UK, said in the statement. 

However, without a detailed picture of what is going on in the brain, it’s not clear whether being a morning or evening person affects memory and thinking or whether a decline in cognition is causing changes to sleeping patterns, Dr. Hanley added. 

Roi Cohen Kadosh, PhD, CPsychol, professor of cognitive neuroscience, University of Surrey, Guildford, England, cautioned that there are “multiple potential reasons” for these associations. 

“Therefore, there are no implications in my view for the real world. I fear that the general public will not be able to understand that and will change their sleep pattern, while this study does not give any evidence that this will lead to any benefit,” Dr. Cohen Kadosh said. 

Jessica Chelekis, PhD, MBA, a sleep expert from Brunel University London, Uxbridge, England, said that the “main takeaway should be that the cultural belief that early risers are more productive than ‘night owls’ does not hold up to scientific scrutiny.” 

“While everyone should aim to get good-quality sleep each night, we should also try to be aware of what time of day we are at our (cognitive) best and work in ways that suit us. Night owls, in particular, should not be shamed into fitting a stereotype that favors an ‘early to bed, early to rise’ practice,” Dr. Chelekis said. 

Funding for the study was provided by the Korea Institute of Oriental Medicine in collaboration with Imperial College London. Dr. Hanley, Dr. Cohen Kadosh, and Dr. Chelekis have no relevant disclosures.

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

Concerned about your patient’s type 2 diabetes risk? Along with the usual preventive strategies — like diet and exercise and, when appropriate, glucagon-like peptide 1 (GLP-1) agonists — there’s another simple, no-risk strategy that just might help: Turning off the light at night.

A study in The Lancet found that people who were exposed to the most light between 12:30 a.m. and 6 a.m. were 1.5 times more likely to develop diabetes than those who remained in darkness during that time frame.

The study builds on growing evidence linking nighttime light exposure to type 2 diabetes risk. But unlike previous large studies that relied on satellite data of outdoor light levels (an indirect measure of light exposure), the recent study looked at personal light exposure — that is, light measured directly on individuals — as recorded by a wrist-worn sensor.

“Those previous studies likely underestimated the effect,” said study author Andrew Phillips, PhD, professor of sleep health at Flinders University in Adelaide, Australia, “since they did not capture indoor light environments.”

Using data from 85,000 participants from the UK Biobank, the recent study is the largest to date linking diabetes risk to personal light exposure at night.

“This is really a phenomenal study,” said Courtney Peterson, PhD, a scientist at the University of Alabama at Birmingham’s Diabetes Research Center, who was not involved in the study. “This is the first large-scale study we have looking at people’s light exposure patterns and linking it to their long-term health.”
 

What the Study Showed

The participants wore the light sensors for a week, recording day and night light from all sources — whether from sunlight, lamps, streetlights, or digital screens. The researchers then tracked participants for 8 years.

“About half of the people that we looked at had very dim levels of light at night, so less than 1 lux — that basically means less than candlelight,” said Dr. Phillips. “They were the people who were protected against type 2 diabetes.”

Those exposed to more light at night — defined in the study as 12:30 a.m.–6 a.m. — had a higher risk for type 2 diabetes. The risk went up as a dose response, Phillips said: The brighter the light exposure, the higher the diabetes risk.

Participants in the top 10% of light exposure — who were exposed to about 48 lux , or the equivalent of relatively dim overhead lighting — were 1.5 times more likely to develop diabetes than those in the dark. That’s about the risk increase you’d get from having a family history of type 2 diabetes, the researchers said.

Even when they controlled for factors like socioeconomic status, smoking, diet, exercise, and shift work, “we still found there was this very strong relationship between light exposure and risk of type 2 diabetes,” said Dr. Phillips.
 

How Light at Night May Increase Diabetes Risk

The results are not entirely surprising, said endocrinologist Susanne Miedlich, MD, a professor at the University of Rochester Medical Center, Rochester, New York, who was not involved in the study.

Light at night can disrupt the circadian rhythm, or your body’s internal 24-hour cycle. And scientists have long known that circadian rhythm is important for all kinds of biologic processes, including how the body manages blood sugar.

One’s internal clock regulates food intake, sugar absorption, and the release of insulin. Dysregulation in the circadian rhythm is associated with insulin resistance, a precursor to type 2 diabetes.

Dr. Phillips speculated that the sleep hormone melatonin also plays a role.

“Melatonin does a lot of things, but one of the things that it does is it manages our glucose and our insulin responses,” Dr. Phillips said. “So if you’re chronically getting light exposure at night, that’s reducing a level of melatonin that, in the long term, could lead to poor metabolic outcomes.”

Previous studies have explored melatonin supplementation to help manage diabetes. “However, while melatonin clearly regulates circadian rhythms, its utility as a drug to prevent diabetes has not really panned out thus far,” Dr. Miedlich said.
 

Takeaways

Interventional studies are needed to confirm whether strategies like powering down screens, turning off lights, or using blackout curtains could reduce diabetes risk.

That said, “there’s no reason not to tell people to get healthy light exposure patterns and sleep, especially in the context of diabetes,” said Dr. Phillips.

Other known strategies for reducing diabetes risk include intensive lifestyle programs, which reduce risk by up to 58%, and GLP-1 agonists.

“Probably a GLP-1 agonist is going to be more effective,” Dr. Peterson said. “But this is still a fairly large effect without having to go through the expense of buying a GLP-1 or losing a lot of weight or making a big lifestyle change.”

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

Concerned about your patient’s type 2 diabetes risk? Along with the usual preventive strategies — like diet and exercise and, when appropriate, glucagon-like peptide 1 (GLP-1) agonists — there’s another simple, no-risk strategy that just might help: Turning off the light at night.

A study in The Lancet found that people who were exposed to the most light between 12:30 a.m. and 6 a.m. were 1.5 times more likely to develop diabetes than those who remained in darkness during that time frame.

The study builds on growing evidence linking nighttime light exposure to type 2 diabetes risk. But unlike previous large studies that relied on satellite data of outdoor light levels (an indirect measure of light exposure), the recent study looked at personal light exposure — that is, light measured directly on individuals — as recorded by a wrist-worn sensor.

“Those previous studies likely underestimated the effect,” said study author Andrew Phillips, PhD, professor of sleep health at Flinders University in Adelaide, Australia, “since they did not capture indoor light environments.”

Using data from 85,000 participants from the UK Biobank, the recent study is the largest to date linking diabetes risk to personal light exposure at night.

“This is really a phenomenal study,” said Courtney Peterson, PhD, a scientist at the University of Alabama at Birmingham’s Diabetes Research Center, who was not involved in the study. “This is the first large-scale study we have looking at people’s light exposure patterns and linking it to their long-term health.”
 

What the Study Showed

The participants wore the light sensors for a week, recording day and night light from all sources — whether from sunlight, lamps, streetlights, or digital screens. The researchers then tracked participants for 8 years.

“About half of the people that we looked at had very dim levels of light at night, so less than 1 lux — that basically means less than candlelight,” said Dr. Phillips. “They were the people who were protected against type 2 diabetes.”

Those exposed to more light at night — defined in the study as 12:30 a.m.–6 a.m. — had a higher risk for type 2 diabetes. The risk went up as a dose response, Phillips said: The brighter the light exposure, the higher the diabetes risk.

Participants in the top 10% of light exposure — who were exposed to about 48 lux , or the equivalent of relatively dim overhead lighting — were 1.5 times more likely to develop diabetes than those in the dark. That’s about the risk increase you’d get from having a family history of type 2 diabetes, the researchers said.

Even when they controlled for factors like socioeconomic status, smoking, diet, exercise, and shift work, “we still found there was this very strong relationship between light exposure and risk of type 2 diabetes,” said Dr. Phillips.
 

How Light at Night May Increase Diabetes Risk

The results are not entirely surprising, said endocrinologist Susanne Miedlich, MD, a professor at the University of Rochester Medical Center, Rochester, New York, who was not involved in the study.

Light at night can disrupt the circadian rhythm, or your body’s internal 24-hour cycle. And scientists have long known that circadian rhythm is important for all kinds of biologic processes, including how the body manages blood sugar.

One’s internal clock regulates food intake, sugar absorption, and the release of insulin. Dysregulation in the circadian rhythm is associated with insulin resistance, a precursor to type 2 diabetes.

Dr. Phillips speculated that the sleep hormone melatonin also plays a role.

“Melatonin does a lot of things, but one of the things that it does is it manages our glucose and our insulin responses,” Dr. Phillips said. “So if you’re chronically getting light exposure at night, that’s reducing a level of melatonin that, in the long term, could lead to poor metabolic outcomes.”

Previous studies have explored melatonin supplementation to help manage diabetes. “However, while melatonin clearly regulates circadian rhythms, its utility as a drug to prevent diabetes has not really panned out thus far,” Dr. Miedlich said.
 

Takeaways

Interventional studies are needed to confirm whether strategies like powering down screens, turning off lights, or using blackout curtains could reduce diabetes risk.

That said, “there’s no reason not to tell people to get healthy light exposure patterns and sleep, especially in the context of diabetes,” said Dr. Phillips.

Other known strategies for reducing diabetes risk include intensive lifestyle programs, which reduce risk by up to 58%, and GLP-1 agonists.

“Probably a GLP-1 agonist is going to be more effective,” Dr. Peterson said. “But this is still a fairly large effect without having to go through the expense of buying a GLP-1 or losing a lot of weight or making a big lifestyle change.”

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

Concerned about your patient’s type 2 diabetes risk? Along with the usual preventive strategies — like diet and exercise and, when appropriate, glucagon-like peptide 1 (GLP-1) agonists — there’s another simple, no-risk strategy that just might help: Turning off the light at night.

A study in The Lancet found that people who were exposed to the most light between 12:30 a.m. and 6 a.m. were 1.5 times more likely to develop diabetes than those who remained in darkness during that time frame.

The study builds on growing evidence linking nighttime light exposure to type 2 diabetes risk. But unlike previous large studies that relied on satellite data of outdoor light levels (an indirect measure of light exposure), the recent study looked at personal light exposure — that is, light measured directly on individuals — as recorded by a wrist-worn sensor.

“Those previous studies likely underestimated the effect,” said study author Andrew Phillips, PhD, professor of sleep health at Flinders University in Adelaide, Australia, “since they did not capture indoor light environments.”

Using data from 85,000 participants from the UK Biobank, the recent study is the largest to date linking diabetes risk to personal light exposure at night.

“This is really a phenomenal study,” said Courtney Peterson, PhD, a scientist at the University of Alabama at Birmingham’s Diabetes Research Center, who was not involved in the study. “This is the first large-scale study we have looking at people’s light exposure patterns and linking it to their long-term health.”
 

What the Study Showed

The participants wore the light sensors for a week, recording day and night light from all sources — whether from sunlight, lamps, streetlights, or digital screens. The researchers then tracked participants for 8 years.

“About half of the people that we looked at had very dim levels of light at night, so less than 1 lux — that basically means less than candlelight,” said Dr. Phillips. “They were the people who were protected against type 2 diabetes.”

Those exposed to more light at night — defined in the study as 12:30 a.m.–6 a.m. — had a higher risk for type 2 diabetes. The risk went up as a dose response, Phillips said: The brighter the light exposure, the higher the diabetes risk.

Participants in the top 10% of light exposure — who were exposed to about 48 lux , or the equivalent of relatively dim overhead lighting — were 1.5 times more likely to develop diabetes than those in the dark. That’s about the risk increase you’d get from having a family history of type 2 diabetes, the researchers said.

Even when they controlled for factors like socioeconomic status, smoking, diet, exercise, and shift work, “we still found there was this very strong relationship between light exposure and risk of type 2 diabetes,” said Dr. Phillips.
 

How Light at Night May Increase Diabetes Risk

The results are not entirely surprising, said endocrinologist Susanne Miedlich, MD, a professor at the University of Rochester Medical Center, Rochester, New York, who was not involved in the study.

Light at night can disrupt the circadian rhythm, or your body’s internal 24-hour cycle. And scientists have long known that circadian rhythm is important for all kinds of biologic processes, including how the body manages blood sugar.

One’s internal clock regulates food intake, sugar absorption, and the release of insulin. Dysregulation in the circadian rhythm is associated with insulin resistance, a precursor to type 2 diabetes.

Dr. Phillips speculated that the sleep hormone melatonin also plays a role.

“Melatonin does a lot of things, but one of the things that it does is it manages our glucose and our insulin responses,” Dr. Phillips said. “So if you’re chronically getting light exposure at night, that’s reducing a level of melatonin that, in the long term, could lead to poor metabolic outcomes.”

Previous studies have explored melatonin supplementation to help manage diabetes. “However, while melatonin clearly regulates circadian rhythms, its utility as a drug to prevent diabetes has not really panned out thus far,” Dr. Miedlich said.
 

Takeaways

Interventional studies are needed to confirm whether strategies like powering down screens, turning off lights, or using blackout curtains could reduce diabetes risk.

That said, “there’s no reason not to tell people to get healthy light exposure patterns and sleep, especially in the context of diabetes,” said Dr. Phillips.

Other known strategies for reducing diabetes risk include intensive lifestyle programs, which reduce risk by up to 58%, and GLP-1 agonists.

“Probably a GLP-1 agonist is going to be more effective,” Dr. Peterson said. “But this is still a fairly large effect without having to go through the expense of buying a GLP-1 or losing a lot of weight or making a big lifestyle change.”

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