Pub Date : 2026-02-01Epub Date: 2025-12-23DOI: 10.1016/j.sleh.2025.12.005
Bridgette René McCullough MSL
{"title":"Sleeping while Black: A bioethics of rest, witness, & repair","authors":"Bridgette René McCullough MSL","doi":"10.1016/j.sleh.2025.12.005","DOIUrl":"10.1016/j.sleh.2025.12.005","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 1-3"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145829011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-04DOI: 10.1016/j.sleh.2025.09.010
Emily A. Abel PhD , Sally Ozonoff PhD , Thomas F. Anders MD , A.J. Schwichtenberg PhD
Objectives
Sleep is a common concern raised at well-child visits, which may stem in part from parental uncertainty around what is expected for toddler sleep. Despite recent attempts to classify normative sleep using large samples, there are notable gaps in existing studies and how they inform parental sleep expectations. Most studies use parent reports and community samples that likely include children with developmental concerns. Thus, we aimed to characterize variations that parents can expect for sleep within typical development.
Methods
Nighttime sleep patterns of typical development toddlers were explored using videosomnography, a video-based measure of sleep behaviors. Participants included 71 toddlers (female n = 31, 44%; White n = 60, 85%) drawn from 2 larger prospective studies. In this cross-sectional sample, sleep was recorded in the home at 18 (n = 15), 24 (n = 36), or 36 (n = 20) months, and toddlers were classified as typical development at 30 or 36 months based on detailed developmental monitoring.
Results
Children woke .65 times per night on average, ranging from 0-2.75. For children with wakings, the average duration per waking was 17.09 minutes (range = 2.0-128.50 minutes). Children required parental intervention to fall back to sleep for 49% of wakings. Most children fell asleep and woke in their own bed (95%) and did not have a parent present at sleep onset (88%).
Conclusions
Behaviors such as night waking can be a normative part of early development for toddlers without developmental concerns. Findings from our study may be useful for helping families set realistic expectations about their child’s sleep during toddlerhood.
{"title":"Capturing typical toddler sleep in context: A videosomnography study","authors":"Emily A. Abel PhD , Sally Ozonoff PhD , Thomas F. Anders MD , A.J. Schwichtenberg PhD","doi":"10.1016/j.sleh.2025.09.010","DOIUrl":"10.1016/j.sleh.2025.09.010","url":null,"abstract":"<div><h3>Objectives</h3><div>Sleep is a common concern raised at well-child visits, which may stem in part from parental uncertainty around what is expected for toddler sleep. Despite recent attempts to classify normative sleep using large samples, there are notable gaps in existing studies and how they inform parental sleep expectations. Most studies use parent reports and community samples that likely include children with developmental concerns. Thus, we aimed to characterize variations that parents can expect for sleep within typical development.</div></div><div><h3>Methods</h3><div>Nighttime sleep patterns of typical development toddlers were explored using videosomnography, a video-based measure of sleep behaviors. Participants included 71 toddlers (female <em>n<!--> <!-->=<!--> </em>31, 44%; White <em>n<!--> </em>=<!--> <!-->60, 85%) drawn from 2 larger prospective studies. In this cross-sectional sample, sleep was recorded in the home at 18 (<em>n<!--> </em>=<!--> <!-->15), 24 (<em>n<!--> </em>=<!--> <!-->36), or 36 (<em>n<!--> </em>=<!--> <!-->20) months, and toddlers were classified as typical development at 30 or 36 months based on detailed developmental monitoring.</div></div><div><h3>Results</h3><div>Children woke .65 times per night on average, ranging from 0-2.75. For children with wakings, the average duration per waking was 17.09 minutes (range = 2.0-128.50 minutes). Children required parental intervention to fall back to sleep for 49% of wakings. Most children fell asleep and woke in their own bed (95%) and did not have a parent present at sleep onset (88%).</div></div><div><h3>Conclusions</h3><div>Behaviors such as night waking can be a normative part of early development for toddlers without developmental concerns. Findings from our study may be useful for helping families set realistic expectations about their child’s sleep during toddlerhood.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 137-146"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145453722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-26DOI: 10.1016/j.sleh.2025.10.011
Kayla T. Johnson PhD, MS , Rachel Widome PhD, MHS, Nicole Larson PhD, MPH, Dianne Neumark-Sztainer PhD, MPH
Objective
The transition from adolescence to young adulthood, a period marked with changes to one’s biology and social context, may be an important period for establishing long-term sleep behaviors. The present study identified changes in weekday and weekend sleep duration, trouble sleeping, and fatigue from adolescence to young adulthood, and evaluated sex and socioeconomic status differences in these sleep measures.
Methods
Study participants (N = 1559) completed surveys in adolescence (2010; Mage = 14.3) and young adulthood (2018; Mage = 22.0). Mixed linear and logistic regression models were used to assess differences in sleep metrics at each time point and over time, and differences based on sex and socioeconomic status.
Results
Around 43% of adolescents were not meeting minimum weekday sleep recommendations and average weekday sleep duration was shorter in adolescence (8.1 hours) compared to young adulthood (8.3 hours). During adolescence, the low socioeconomic status group had the shortest weekday sleep duration compared to other socioeconomic status groups, but by young adulthood, all socioeconomic status groups slept for similar durations. Although longer sleep duration was reported on average in young adulthood, a greater proportion of young adults, compared to adolescents, reported fatigue and trouble sleeping. The low socioeconomic status group and females reported more fatigue and trouble sleeping than their counterparts at both adolescence and in young adulthood.
Conclusions
Findings suggest a need for sleep interventions that prioritize weekday sleep duration in adolescence, particularly among low socioeconomic status groups, and in young adulthood, there is a need to address fatigue and trouble sleeping, particularly among females.
{"title":"Changes in sleep from adolescence to young adulthood: Findings from the Eating and Activity over Time 2010-2018 Study","authors":"Kayla T. Johnson PhD, MS , Rachel Widome PhD, MHS, Nicole Larson PhD, MPH, Dianne Neumark-Sztainer PhD, MPH","doi":"10.1016/j.sleh.2025.10.011","DOIUrl":"10.1016/j.sleh.2025.10.011","url":null,"abstract":"<div><h3>Objective</h3><div>The transition from adolescence to young adulthood, a period marked with changes to one’s biology and social context, may be an important period for establishing long-term sleep behaviors. The present study identified changes in weekday and weekend sleep duration, trouble sleeping, and fatigue from adolescence to young adulthood, and evaluated sex and socioeconomic status differences in these sleep measures.</div></div><div><h3>Methods</h3><div>Study participants (N = 1559) completed surveys in adolescence (2010; <em>M</em><sub>age</sub> = 14.3) and young adulthood (2018; <em>M</em><sub>age</sub> = 22.0). Mixed linear and logistic regression models were used to assess differences in sleep metrics at each time point and over time, and differences based on sex and socioeconomic status.</div></div><div><h3>Results</h3><div>Around 43% of adolescents were not meeting minimum weekday sleep recommendations and average weekday sleep duration was shorter in adolescence (8.1 hours) compared to young adulthood (8.3 hours). During adolescence, the low socioeconomic status group had the shortest weekday sleep duration compared to other socioeconomic status groups, but by young adulthood, all socioeconomic status groups slept for similar durations. Although longer sleep duration was reported on average in young adulthood, a greater proportion of young adults, compared to adolescents, reported fatigue and trouble sleeping. The low socioeconomic status group and females reported more fatigue and trouble sleeping than their counterparts at both adolescence and in young adulthood.</div></div><div><h3>Conclusions</h3><div>Findings suggest a need for sleep interventions that prioritize weekday sleep duration in adolescence, particularly among low socioeconomic status groups, and in young adulthood, there is a need to address fatigue and trouble sleeping, particularly among females.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 85-92"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145641305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-20DOI: 10.1016/j.sleh.2025.10.006
Michael B. Fawale FMCP , Isiaka A. Ismaila FWACP , Abubakar A. Kulima FWACS, FMCOG , Adekunle Mustapha FMCP
Objectives
This study aimed to characterize insomnia and determine its associations in a sub-Saharan African population of pregnant women.
Methods
Insomnia was assessed using the Women’s Health Initiative Insomnia Scale in an antenatal clinic sample of 310 pregnant women. They were screened for anxiety and depressive symptoms using the 4-item Patient Health Questionnaire and health-related quality of life was evaluated using SF-12. The participant’s perception of family functioning was assessed using the Family APGAR scale. Sociodemographic, obstetric, and clinical data were collected along with blood and urine samples for hematocrit and urinary protein, respectively. Ethical clearance was obtained from the Yobe State Health Research Ethical Committee. Data analysis was performed with the SPSS software (SPSS, version 16.0), with a p value of <.05 considered statistically significant.
Results
The Women’s Health Initiative Insomnia Scale identified 42.9% of our sample of pregnant women experienced insomnia. The prevalence of insomnia increased significantly from 33.7% in the second trimester to 47.1% in the third trimester. Factors independently associated with higher odds of insomnia in pregnancy were advancing gestation, poorer family functioning, having a child under 2 years, and smaller spousal age differences.
Conclusions
This study found that insomnia in pregnancy is common and is linked to advancing gestational age, short child spacing, family dysfunction, and smaller spousal age difference. The findings highlight the importance of promoting adequate child spacing and addressing family dynamics to support better sleep health in pregnant women.
目的：本研究旨在描述撒哈拉以南非洲孕妇的失眠特征并确定其相关性。方法：采用妇女健康倡议失眠量表对310名产前门诊孕妇进行失眠症评估。使用4项患者健康问卷筛查他们的焦虑和抑郁症状，并使用SF-12评估与健康相关的生活质量。使用家庭APGAR量表评估参与者对家庭功能的感知。收集社会人口学、产科和临床资料，以及血液和尿液样本，分别检测红细胞压积和尿蛋白。已获得约贝州卫生研究伦理委员会的伦理许可。使用SPSS软件（SPSS, version 16.0）进行数据分析，p值为结果：妇女健康倡议失眠量表确定42.9%的孕妇有失眠经历。失眠的患病率从妊娠中期的33.7%上升到妊娠晚期的47.1%。与妊娠期失眠几率较高相关的独立因素有妊娠期提前、家庭功能较差、孩子不满两岁以及配偶年龄差异较小。结论：本研究发现孕期失眠很常见，与胎龄提前、生育间隔短、家庭功能障碍和配偶年龄差距小有关。研究结果强调了促进适当的生育间隔和处理家庭动态以支持孕妇更好的睡眠健康的重要性。
{"title":"Insomnia in pregnancy: Possible associations with birth spacing, family functioning, and spousal age difference in a Nigerian population","authors":"Michael B. Fawale FMCP , Isiaka A. Ismaila FWACP , Abubakar A. Kulima FWACS, FMCOG , Adekunle Mustapha FMCP","doi":"10.1016/j.sleh.2025.10.006","DOIUrl":"10.1016/j.sleh.2025.10.006","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aimed to characterize insomnia and determine its associations in a sub-Saharan African population of pregnant women.</div></div><div><h3>Methods</h3><div>Insomnia was assessed using the Women’s Health Initiative Insomnia Scale in an antenatal clinic sample of 310 pregnant women. They were screened for anxiety and depressive symptoms using the 4-item Patient Health Questionnaire and health-related quality of life was evaluated using SF-12. The participant’s perception of family functioning was assessed using the Family APGAR scale. Sociodemographic, obstetric, and clinical data were collected along with blood and urine samples for hematocrit and urinary protein, respectively. Ethical clearance was obtained from the Yobe State Health Research Ethical Committee. Data analysis was performed with the SPSS software (SPSS, version 16.0), with a p value of <.05 considered statistically significant.</div></div><div><h3>Results</h3><div>The Women’s Health Initiative Insomnia Scale identified 42.9% of our sample of pregnant women experienced insomnia. The prevalence of insomnia increased significantly from 33.7% in the second trimester to 47.1% in the third trimester. Factors independently associated with higher odds of insomnia in pregnancy were advancing gestation, poorer family functioning, having a child under 2 years, and smaller spousal age differences.</div></div><div><h3>Conclusions</h3><div>This study found that insomnia in pregnancy is common and is linked to advancing gestational age, short child spacing, family dysfunction, and smaller spousal age difference. The findings highlight the importance of promoting adequate child spacing and addressing family dynamics to support better sleep health in pregnant women.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 113-120"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145574910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-24DOI: 10.1016/j.sleh.2025.10.013
Zhihao Xiao PhD, Cheng Xu PhD
{"title":"Response to association of sleep patterns with microvascular complications in individuals with type 2 diabetes: A prospective cohort study","authors":"Zhihao Xiao PhD, Cheng Xu PhD","doi":"10.1016/j.sleh.2025.10.013","DOIUrl":"10.1016/j.sleh.2025.10.013","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 160-161"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145606905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-20DOI: 10.1016/j.sleh.2025.10.008
Joshua R. Freeman PhD , Jennifer Zink PhD , Marissa M. Shams-White PhD , Dana L. Wolff-Hughes PhD , Wayne R. Lawrence DrPH , Samuel R. LaMunion PhD , Daniel E. Russ PhD , Jonas S. Almeida PhD , Hyokyoung G. Hong PhD , Hayden A. Hayes MSc , Pedro F. Saint-Maurice PhD , Charles E. Matthews PhD
Objectives
Sleep health differs across the life course and by sex, poverty-income ratio (PIR), and race and ethnicity. Monitoring sleep is important for informing interventions to improve sleep heath. Our objective was to explore and describe sleep characteristics among a nationally-representative US sample by age, sex, PIR, and race and ethnicity.
Methods
Data came from n=13,656 US residents aged 3–80 years in the National Health and Nutrition Examination Survey (2011–2014). Participants wore an ActiGraph GT3X+ on their wrist for ≤7 days to assess sleep. We used GGIR (v. 3.0.0) to derive sleep duration, sleep onset, sleep midpoint, waketime, wake after sleep onset (WASO), and social jetlag. Participant characteristics were self-reported. Statistical analyses were performed using SAS v. 9.4 (SAS Institute Inc., Cary, NC) and accounted for complex sampling designs. We used Time-Varying Effect Models to model sleep by age.
Results
Sleep duration was shorter with greater age. Sleep onset, midpoint, and waketime were latest among those aged 10–30 years. Social jetlag followed a similar distribution. WASO was highest among children and was lower with greater age. Females generally slept more than males. Adults with low PIR tended to have worse sleep compared with adults with higher PIR. Compared with Non-Hispanic White adults, Hispanic, Non-Hispanic Asian, and Non-Hispanic Black adults had shorter sleep duration and higher WASO. Non-Hispanic Black adults had the highest social jetlag.
Conclusions
We described sleep health in the US, including relevant population subgroups. These findings may help prioritize public health interventions to improve sleep health.
目的：睡眠健康在整个生命过程中以及在性别、贫困收入比（PIR）、种族和民族方面存在差异。监测睡眠对于告知干预措施以改善睡眠健康非常重要。我们的目的是根据年龄、性别、PIR、种族和民族来探索和描述具有全国代表性的美国样本的睡眠特征。方法：数据来自2011-2014年全国健康与营养检查调查中n=13,656名3-80岁的美国居民。参与者在手腕上佩戴ActiGraph GT3X+不超过7天来评估睡眠。我们使用GGIR （v. 3.0.0）得出睡眠持续时间、睡眠开始、睡眠中点、醒来时间、睡眠开始后醒来（WASO）和社交时差。参与者的特征是自我报告的。采用SAS v. 9.4 （SAS Institute Inc., Cary， NC）进行统计分析，并考虑到复杂的抽样设计。我们使用时变效应模型来模拟年龄的睡眠。结果：年龄越大，睡眠时间越短。10-30岁人群的睡眠开始时间、中点时间和醒时时间最晚。社交时差也有类似的分布。WASO在儿童中最高，随着年龄的增长而降低。雌性通常比雄性睡得多。与高PIR的成年人相比，低PIR的成年人往往睡眠更差。与非西班牙裔白人成年人相比，西班牙裔、非西班牙裔亚裔和非西班牙裔黑人成年人的睡眠时间较短，WASO较高。非西班牙裔黑人成年人的社交时差最高。结论：我们描述了美国的睡眠健康状况，包括相关的人群亚组。这些发现可能有助于优先考虑公共卫生干预措施，以改善睡眠健康。
{"title":"Monitoring sleep duration, timing, and continuity among US youth and adults in NHANES using actigraphy","authors":"Joshua R. Freeman PhD , Jennifer Zink PhD , Marissa M. Shams-White PhD , Dana L. Wolff-Hughes PhD , Wayne R. Lawrence DrPH , Samuel R. LaMunion PhD , Daniel E. Russ PhD , Jonas S. Almeida PhD , Hyokyoung G. Hong PhD , Hayden A. Hayes MSc , Pedro F. Saint-Maurice PhD , Charles E. Matthews PhD","doi":"10.1016/j.sleh.2025.10.008","DOIUrl":"10.1016/j.sleh.2025.10.008","url":null,"abstract":"<div><h3>Objectives</h3><div>Sleep health differs across the life course and by sex, poverty-income ratio (PIR), and race and ethnicity. Monitoring sleep is important for informing interventions to improve sleep heath. Our objective was to explore and describe sleep characteristics among a nationally-representative US sample by age, sex, PIR, and race and ethnicity.</div></div><div><h3>Methods</h3><div>Data came from n=13,656 US residents aged 3–80 years in the National Health and Nutrition Examination Survey (2011–2014). Participants wore an ActiGraph GT3X+ on their wrist for ≤7 days to assess sleep. We used GGIR (v. 3.0.0) to derive sleep duration, sleep onset, sleep midpoint, waketime, wake after sleep onset (WASO), and social jetlag. Participant characteristics were self-reported. Statistical analyses were performed using SAS v. 9.4 (SAS Institute Inc., Cary, NC) and accounted for complex sampling designs. We used Time-Varying Effect Models to model sleep by age.</div></div><div><h3>Results</h3><div>Sleep duration was shorter with greater age. Sleep onset, midpoint, and waketime were latest among those aged 10–30 years. Social jetlag followed a similar distribution. WASO was highest among children and was lower with greater age. Females generally slept more than males. Adults with low PIR tended to have worse sleep compared with adults with higher PIR. Compared with Non-Hispanic White adults, Hispanic, Non-Hispanic Asian, and Non-Hispanic Black adults had shorter sleep duration and higher WASO. Non-Hispanic Black adults had the highest social jetlag.</div></div><div><h3>Conclusions</h3><div>We described sleep health in the US, including relevant population subgroups. These findings may help prioritize public health interventions to improve sleep health.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 104-112"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145565987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-11DOI: 10.1016/j.sleh.2025.10.005
Yujia (Susanna) Qiao PhD , Terri Blackwell MA , Dorothy M. Chen MPH , Jamie M. Zeitzer PhD , Sonia Ancoli-Israel PhD , Alexander B. Posner MPH , Susan Redline MD, MPH , Gregory J. Tranah PhD , Kristine Yaffe MD , Katie L. Stone PhD , on behalf of the Osteoporotic Fractures in Men (MrOS) Study Group
Objectives
Circadian rest-activity rhythms (RARs) reflect ones' physical activity and sleep patterns over the 24-hour day, correlating with cardiometabolic risk, fall risk, and cognitive decline. Physical function also declines with advancing age, leading to disability and increased risk of mortality. Thus, we examined the associations between rest-activity rhythms and physical function in older men.
Methods
In the Osteoporotic Fractures in Men (MrOS) study, 2924 men (age = 76.3 ± 5.5 years old, 90% white) completed the sleep ancillary study (baseline) with valid wrist-worn accelerometry data and physical function measures. Physical function measures included the following: 6-meter gait speed, chair stand speed, and grip strength, assessed at baseline and up to 4 follow-up visits over 6.4 ± 3.9 years. Using 3 approaches to quantify rest-activity rhythms (functional principal components analysis, parametric, and non-parametric approaches), we evaluated cross-sectional and longitudinal associations between baseline rest-activity rhythm patterns and decline in physical function using mixed-effects models, adjusting for demographic, lifestyle, and medical covariates.
Results
Less strength of rest-activity rhythm (ie, principal component 1, amplitude, and relative amplitude) and lower regularity (pseudo-F statistic) were both cross-sectionally and longitudinally associated with poorer physical function, particularly with gait speed and chair stand speed. Yet, significant associations between timing-related rest-activity rhythm exposures and chair stand speed were only observed cross-sectionally. Overall, the magnitude of associations differed slightly across rest-activity rhythm estimation approaches and more substantially by physical function measures.
Conclusions
Rest-activity rhythms might be a potential risk modifiable factor to target for intervention in future studies if aiming to maintain better physical function, particularly lower extremity function.
{"title":"Circadian rest-activity rhythms and physical function in community-dwelling older men: The MrOS sleep study","authors":"Yujia (Susanna) Qiao PhD , Terri Blackwell MA , Dorothy M. Chen MPH , Jamie M. Zeitzer PhD , Sonia Ancoli-Israel PhD , Alexander B. Posner MPH , Susan Redline MD, MPH , Gregory J. Tranah PhD , Kristine Yaffe MD , Katie L. Stone PhD , on behalf of the Osteoporotic Fractures in Men (MrOS) Study Group","doi":"10.1016/j.sleh.2025.10.005","DOIUrl":"10.1016/j.sleh.2025.10.005","url":null,"abstract":"<div><h3>Objectives</h3><div>Circadian rest-activity rhythms (RARs) reflect ones' physical activity and sleep patterns over the 24-hour day, correlating with cardiometabolic risk, fall risk, and cognitive decline. Physical function also declines with advancing age, leading to disability and increased risk of mortality. Thus, we examined the associations between rest-activity rhythms and physical function in older men.</div></div><div><h3>Methods</h3><div>In the Osteoporotic Fractures in Men (MrOS) study, 2924 men (age = 76.3<!--> <!-->±<!--> <!-->5.5 years old, 90% white) completed the sleep ancillary study (baseline) with valid wrist-worn accelerometry data and physical function measures. Physical function measures included the following: 6-meter gait speed, chair stand speed, and grip strength, assessed at baseline and up to 4 follow-up visits over 6.4<!--> <!-->±<!--> <!-->3.9 years. Using 3 approaches to quantify rest-activity rhythms (functional principal components analysis, parametric, and non-parametric approaches), we evaluated cross-sectional and longitudinal associations between baseline rest-activity rhythm patterns and decline in physical function using mixed-effects models, adjusting for demographic, lifestyle, and medical covariates.</div></div><div><h3>Results</h3><div>Less strength of rest-activity rhythm (ie, principal component 1, amplitude, and relative amplitude) and lower regularity (pseudo-F statistic) were both cross-sectionally and longitudinally associated with poorer physical function, particularly with gait speed and chair stand speed. Yet, significant associations between timing-related rest-activity rhythm exposures and chair stand speed were only observed cross-sectionally. Overall, the magnitude of associations differed slightly across rest-activity rhythm estimation approaches and more substantially by physical function measures.</div></div><div><h3>Conclusions</h3><div>Rest-activity rhythms might be a potential risk modifiable factor to target for intervention in future studies if aiming to maintain better physical function, particularly lower extremity function.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 93-103"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145507637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-26DOI: 10.1016/j.sleh.2025.10.010
Mathias Basner MD, PhD, MScEpi
{"title":"Why smartphones should be silenced during sleep","authors":"Mathias Basner MD, PhD, MScEpi","doi":"10.1016/j.sleh.2025.10.010","DOIUrl":"10.1016/j.sleh.2025.10.010","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 12-13"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145641353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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