Pub Date : 2024-04-01DOI: 10.1016/j.sleh.2023.11.007
Connor M. Sheehan PhD
Objectives
To document sleep duration differences between rural and nonrural adults in middle/older adulthood.
Methods
Data consisted of adults aged 50-80 from the 2014, 2016, 2018, and 2020 Behavioral Risk Factor Surveillance System (n = 669,978). Hierarchical multinomial logistic regression models were fit predicting self-reported short (ie, 6 or fewer hours per 24-hour period) and long (ie, 9 or more hours per 24-hour period) compared to normal-sleep duration (ie, 7-8 hours per 24-hour period).
Results
Rural adults aged 50+ had slightly but significantly lower levels of short sleep (30.0% vs. 30.8%), and slightly but significantly higher levels of long sleep (10.6% vs. 9.4%). In multinomial logistic models that accounted for demographics, rural adults had significantly higher levels of long sleep (OR 1.16, 95% CI 1.12-1.21). The long-sleep differences were explained by socioeconomic measures.
Conclusions
Sleep researchers should continue to investigate and conceptualize sleeping patterns and heterogeneity among rural adults.
{"title":"Rural/nonrural sleep duration patterns among adults in middle and older adulthood","authors":"Connor M. Sheehan PhD","doi":"10.1016/j.sleh.2023.11.007","DOIUrl":"10.1016/j.sleh.2023.11.007","url":null,"abstract":"<div><h3>Objectives</h3><p>To document sleep duration differences between rural and nonrural adults in middle/older adulthood.</p></div><div><h3>Methods</h3><p><span>Data consisted of adults aged 50-80 from the 2014, 2016, 2018, and 2020 Behavioral Risk Factor Surveillance System (n = 669,978). Hierarchical multinomial logistic regression models were fit predicting self-reported short (ie, 6 or fewer hours per 24-hour period) and long (ie, 9 or more hours per 24-hour period) compared to normal-sleep duration (ie, 7-8</span> <!-->hours per 24-hour period).</p></div><div><h3>Results</h3><p>Rural adults aged 50+ had slightly but significantly lower levels of short sleep (30.0% vs. 30.8%), and slightly but significantly higher levels of long sleep (10.6% vs. 9.4%). In multinomial logistic models that accounted for demographics, rural adults had significantly higher levels of long sleep (OR 1.16, 95% CI 1.12-1.21). The long-sleep differences were explained by socioeconomic measures.</p></div><div><h3>Conclusions</h3><p>Sleep researchers should continue to investigate and conceptualize sleeping patterns and heterogeneity among rural adults.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139049613","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 : 2024-04-01DOI: 10.1016/j.sleh.2023.12.004
Elizabeth L. Adams PhD , Amanda Edgar MS , Peyton Mosher MS , Sarah Burkart PhD , Bridget Armstrong PhD , R. Glenn Weaver PhD , Michael W. Beets PhD , E. Rebekah Siceloff PhD , Meghan Savidge MS , Roddrick Dugger PhD , Ronald J. Prinz PhD
Objective
Families with low-income experience suboptimal sleep compared to families with higher-income. Unique drivers likely contribute to these disparities, along with factors that universally impede sleep patterns, despite income level. To inform intervention tailoring, this mixed-methods study gathered parent’s perceptions about child sleep challenges to identify similarities/differences in families with lower-income and higher-income.
Methods
Parents who experienced difficulties with their child (ages 2-4 years) sleep were categorized as lower income (n = 15; $30,000 ± 17,845/year) or higher income (n = 15; $142,400 ± 61,373/year). Parents completed a survey and semistructured interview to explore barriers and facilitators for child sleep. Two coders independently evaluated transcripts for lower-income and higher-income groups using inductive analyses. Constant-comparison methods generated themes and characterized similarities/differences by income group.
Results
Groups were similar in themes related to diverse bedtime routines, nighttime struggles with child sleep, parent strategies to reduce night wakings, parent effort to provide a sleep-promoting environment, and presence of electronic rules. Groups differed in themes related to factors influencing routine setting (eg, lower income: external factors influencing routines; higher income: personal attributes for structure), parent appraisal of child sleep (eg, higher income: ambivalence; lower income: mostly negative appraisal), nap timing and duration (eg, lower income: longer naps), and strategy utilization and pursuit of resources (eg, higher income: more parents tried various strategies and accessed online/print resources).
Conclusions
Parents experienced many similar barriers to child sleep, with a few distinct differences by income group. These findings can inform future intervention components for all families, as well as customized components to address the unique needs of families across income levels.
{"title":"A comparison of perceived barriers to optimal child sleep among families with low and high income","authors":"Elizabeth L. Adams PhD , Amanda Edgar MS , Peyton Mosher MS , Sarah Burkart PhD , Bridget Armstrong PhD , R. Glenn Weaver PhD , Michael W. Beets PhD , E. Rebekah Siceloff PhD , Meghan Savidge MS , Roddrick Dugger PhD , Ronald J. Prinz PhD","doi":"10.1016/j.sleh.2023.12.004","DOIUrl":"10.1016/j.sleh.2023.12.004","url":null,"abstract":"<div><h3>Objective</h3><p>Families with low-income experience suboptimal sleep compared to families with higher-income. Unique drivers likely contribute to these disparities, along with factors that universally impede sleep patterns, despite income level. To inform intervention tailoring, this mixed-methods study gathered parent’s perceptions about child sleep challenges to identify similarities/differences in families with lower-income and higher-income.</p></div><div><h3>Methods</h3><p>Parents who experienced difficulties with their child (ages 2-4<!--> <span>years) sleep were categorized as lower income (n = 15; $30,000 ± 17,845/year) or higher income (n = 15; $142,400 ± 61,373/year). Parents completed a survey and semistructured interview to explore barriers and facilitators for child sleep. Two coders independently evaluated transcripts for lower-income and higher-income groups using inductive analyses. Constant-comparison methods generated themes and characterized similarities/differences by income group.</span></p></div><div><h3>Results</h3><p>Groups were similar in themes related to diverse bedtime routines, nighttime struggles with child sleep, parent strategies to reduce night wakings, parent effort to provide a sleep-promoting environment, and presence of electronic rules. Groups differed in themes related to factors influencing routine setting (eg, lower income: external factors influencing routines; higher income: personal attributes for structure), parent appraisal of child sleep (eg, higher income: ambivalence; lower income: mostly negative appraisal), nap timing and duration (eg, lower income: longer naps), and strategy utilization and pursuit of resources (eg, higher income: more parents tried various strategies and accessed online/print resources).</p></div><div><h3>Conclusions</h3><p>Parents experienced many similar barriers to child sleep, with a few distinct differences by income group. These findings can inform future intervention components for all families, as well as customized components to address the unique needs of families across income levels.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139511960","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 : 2024-04-01DOI: 10.1016/j.sleh.2023.12.003
Kyle T. Ganson PhD, MSW , Nelson Pang MSW , Alexander Testa PhD , Dylan B. Jackson PhD , Jason M. Nagata MD, MSc
Objectives
Prior research has shown links between mental health symptomatology and poor sleep. However, associations between muscle dysmorphia symptomatology and poor sleep remain unknown, which was the aim of this study.
Methods
Data from the Canadian Study of Adolescent Health Behaviors (2021-2022) were analyzed (N = 912). Multinomial logistic regression analyses and logistic regression analyses were used to determine the association between muscle dysmorphia symptomatology and average sleep duration (5 hours or less, 6 hours, 7 hours, and 8 or more hours) and difficulty falling or staying asleep over a 2-week period.
Results
Findings indicated significant associations between muscle dysmorphia symptomatology and shorter sleep duration and greater sleep difficulty in both cross-sectional and prospective analyses.
Conclusions
The findings from this study underscore poor sleep as a correlate of muscle dysmorphia symptomatology among adolescents and young adults, emphasizing the need for screening and interventions in healthcare settings.
{"title":"Associations between muscle dysmorphia symptomatology and sleep duration and difficulty in the Canadian Study of Adolescent Health Behaviors","authors":"Kyle T. Ganson PhD, MSW , Nelson Pang MSW , Alexander Testa PhD , Dylan B. Jackson PhD , Jason M. Nagata MD, MSc","doi":"10.1016/j.sleh.2023.12.003","DOIUrl":"10.1016/j.sleh.2023.12.003","url":null,"abstract":"<div><h3>Objectives</h3><p>Prior research has shown links between mental health symptomatology and poor sleep. However, associations between muscle dysmorphia symptomatology and poor sleep remain unknown, which was the aim of this study.</p></div><div><h3>Methods</h3><p>Data from the Canadian Study of Adolescent Health Behaviors (2021-2022) were analyzed (N = 912). Multinomial logistic regression analyses and logistic regression analyses were used to determine the association between muscle dysmorphia symptomatology and average sleep duration (5 hours or less, 6 hours, 7 hours, and 8 or more hours) and difficulty falling or staying asleep over a 2-week period.</p></div><div><h3>Results</h3><p>Findings indicated significant associations between muscle dysmorphia symptomatology and shorter sleep duration and greater sleep difficulty in both cross-sectional and prospective analyses.</p></div><div><h3>Conclusions</h3><p>The findings from this study underscore poor sleep as a correlate of muscle dysmorphia symptomatology among adolescents and young adults, emphasizing the need for screening and interventions in healthcare settings.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139984173","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 : 2024-04-01DOI: 10.1016/j.sleh.2023.11.008
Daniel M. Roberts PhD , Margeaux M. Schade PhD , Lindsay Master MAS , Vasant G. Honavar PhD , Nicole G. Nahmod MPH, MMS, PA-C , Anne-Marie Chang PhD , Daniel Gartenberg PhD , Orfeu M. Buxton PhD
{"title":"Corrigendum to “Performance of an open machine learning model to classify sleep/wake from actigraphy across ∼24-hour intervals without knowledge of rest timing” [Sleep Health 9 (2023) 596-610]","authors":"Daniel M. Roberts PhD , Margeaux M. Schade PhD , Lindsay Master MAS , Vasant G. Honavar PhD , Nicole G. Nahmod MPH, MMS, PA-C , Anne-Marie Chang PhD , Daniel Gartenberg PhD , Orfeu M. Buxton PhD","doi":"10.1016/j.sleh.2023.11.008","DOIUrl":"10.1016/j.sleh.2023.11.008","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352721823002905/pdfft?md5=03218347e12e6e0c3ed09b31a3094df3&pid=1-s2.0-S2352721823002905-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139742391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.1016/j.sleh.2023.10.002
Emma Cooke PhD , Caitlin Smith BPsycSc(Hons) , Maria Carmen Miguel BSN , Sally Staton PhD , Karen Thorpe PhD , Jasneek Chawla PhD
Objective
Adverse effects of sleep disruption are identified in parents who live with a child with Down Syndrome (DS), yet there is no research on siblings’ experiences. This study addresses this knowledge gap.
Design
A qualitative research study using semi-structured interviews to understand the experiences of siblings of a child with DS and sleep difficulties from the perspectives of parents and siblings.
Participants
Eleven siblings aged 5-15 years old, and 11 parents, from 8 families with a child with DS in Australia.
Methods
Semi-structured sibling interviews explored what it was like to have a sibling with DS and sleep difficulties; the participant’s own sleep; how their sleep affected how they felt during the day; how sleep impacted their family; and advice that they would give to other siblings. Parent interviews included similar topics; here we report on excerpts in which parents reference siblings. Interviews were audio recorded, transcribed verbatim, and analyzed using a reflexive thematic analysis.
Results
Siblings and parents acknowledge sleep disruption for siblings; yet sleep disruption is normalized, viewed with acceptance and inevitability. Siblings report adverse effects from sleep disruption, view sleep in a relational way, and cope with sleep disruption. Parents can underestimate siblings’ sleep disruption and are uncertain whether siblings’ symptoms result from sleep disruption or other causes.
Conclusions
Siblings of a child with DS experience sleep disruption and may be at risk of developing long-term health problems without focused support.
{"title":"Siblings’ experiences of sleep disruption in families with a child with Down syndrome","authors":"Emma Cooke PhD , Caitlin Smith BPsycSc(Hons) , Maria Carmen Miguel BSN , Sally Staton PhD , Karen Thorpe PhD , Jasneek Chawla PhD","doi":"10.1016/j.sleh.2023.10.002","DOIUrl":"10.1016/j.sleh.2023.10.002","url":null,"abstract":"<div><h3>Objective</h3><p>Adverse effects of sleep disruption are identified in parents who live with a child with Down Syndrome (DS), yet there is no research on siblings’ experiences. This study addresses this knowledge gap.</p></div><div><h3>Design</h3><p>A qualitative research study using semi-structured interviews to understand the experiences of siblings of a child with DS and sleep difficulties from the perspectives of parents and siblings.</p></div><div><h3>Participants</h3><p>Eleven siblings aged 5-15 years old, and 11 parents, from 8 families with a child with DS in Australia.</p></div><div><h3>Methods</h3><p>Semi-structured sibling interviews explored what it was like to have a sibling with DS and sleep difficulties; the participant’s own sleep; how their sleep affected how they felt during the day; how sleep impacted their family; and advice that they would give to other siblings. Parent interviews included similar topics; here we report on excerpts in which parents reference siblings. Interviews were audio recorded, transcribed verbatim, and analyzed using a reflexive thematic analysis.</p></div><div><h3>Results</h3><p>Siblings and parents acknowledge sleep disruption for siblings; yet sleep disruption is normalized, viewed with acceptance and inevitability. Siblings report adverse effects from sleep disruption, view sleep in a relational way, and cope with sleep disruption. Parents can underestimate siblings’ sleep disruption and are uncertain whether siblings’ symptoms result from sleep disruption or other causes.</p></div><div><h3>Conclusions</h3><p>Siblings of a child with DS experience sleep disruption and may be at risk of developing long-term health problems without focused support.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352721823002371/pdfft?md5=869c90004b1f2eadb0513a89b173b2a8&pid=1-s2.0-S2352721823002371-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135763980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1016/j.sleh.2023.08.011
Robin K. Yuan PhD , Yejin Andrea Kim BA , Sean W. Cain PhD , Mirjam Y. Münch PhD , Joseph M. Ronda MSc , Wei Wang PhD , Charles A. Czeisler PhD, MD , Jeanne F. Duffy PhD
Objectives
Facial recognition is one of the key functions of the human brain, and linking a face to a name is critical in many social and occupational settings. This study assessed circadian- and wake-dependent effects on face-name recognition in healthy adults.
Methods
Thirteen healthy adults (20-70 years; 7 F) were studied in a 39-day inpatient protocol that included 3 weeks of 28 hours forced desynchrony with sleep restriction (6.5:21.5 hours sleep:wake). Starting 3 hours after scheduled wake, 6 novel face-name pairs were presented every 4 waking hours; recognition was tested 2 hours later. Performance data were averaged across ∼4 hours circadian phase or time-awake bins.
Results
Face-name recognition deteriorated with increased time awake (p < .0001) and exhibited significant circadian variation (p < .0001), with worst performance shortly after the core temperature nadir. There was a significant interaction between sex and circadian phase (p = .0177), with women performing significantly better than men at all circadian phases except 60° and 120°. Women exhibited a significantly higher amplitude than men during the third week of forced desynchrony (p < .01).
Conclusions
Like many other aspects of neurobehavioral performance, recalling face-name associations is impacted by both duration of time awake and circadian phase. These results have implications for face recognition testing in medical contexts, such as in testing for dementia, because performance may be impacted by sleep deficiency and the time of testing.
{"title":"Circadian- and wake-dependent influences on face-name memory in healthy men and women over 3 weeks of chronic sleep restriction","authors":"Robin K. Yuan PhD , Yejin Andrea Kim BA , Sean W. Cain PhD , Mirjam Y. Münch PhD , Joseph M. Ronda MSc , Wei Wang PhD , Charles A. Czeisler PhD, MD , Jeanne F. Duffy PhD","doi":"10.1016/j.sleh.2023.08.011","DOIUrl":"10.1016/j.sleh.2023.08.011","url":null,"abstract":"<div><h3>Objectives</h3><p><span>Facial recognition is one of the key functions of the human brain, and linking a </span>face to a name is critical in many social and occupational settings. This study assessed circadian- and wake-dependent effects on face-name recognition in healthy adults.</p></div><div><h3>Methods</h3><p>Thirteen healthy adults (20-70<!--> <!-->years; 7 F) were studied in a 39-day inpatient protocol that included 3<!--> <!-->weeks of 28 hours forced desynchrony with sleep restriction (6.5:21.5 hours sleep:wake). Starting 3 hours after scheduled wake, 6 novel face-name pairs were presented every 4 waking hours; recognition was tested 2 hours later. Performance data were averaged across ∼4 hours circadian phase or time-awake bins.</p></div><div><h3>Results</h3><p>Face-name recognition deteriorated with increased time awake (<em>p</em> < .0001) and exhibited significant circadian variation (<em>p</em> < .0001), with worst performance shortly after the core temperature nadir. There was a significant interaction between sex and circadian phase (<em>p</em> = .0177), with women performing significantly better than men at all circadian phases except 60° and 120°. Women exhibited a significantly higher amplitude than men during the third week of forced desynchrony (<em>p</em> < .01).</p></div><div><h3>Conclusions</h3><p>Like many other aspects of neurobehavioral performance, recalling face-name associations is impacted by both duration of time awake and circadian phase. These results have implications for face recognition testing in medical contexts, such as in testing for dementia, because performance may be impacted by sleep deficiency and the time of testing.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41155318","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 : 2024-02-01DOI: 10.1016/j.sleh.2023.09.011
Dayna A. Johnson PhD, MPH, MS , Danielle A. Wallace PhD, MPH , Laura Ward MS
Objective
Historically minoritized individuals experience greater exposure to light at night, yet it is unclear whether the association between light at night and sleep duration vary by race/ethnicity or sex. We examined the association between light at night and sleep duration by race/ethnicity and sex.
Methods
Participants (N = 6089, mean age = 49.5, 52% women, 13% Asian, 27% Black, 14% Mexican, 46% White) in the 2011-2014 National Health and Nutrition Examination Survey underwent 9-day of actigraphy. Light at night was defined as light exposure within the 5-hour activity nadir (L5). Sleep duration within a 24-hour period was analyzed as short (<7 hours) or long (>9 hours) compared to recommended (≥7 and <9 hours). Poisson models were fit to estimate the association between light at night and sleep duration after adjustment for covariates.
Results
Light at night was most common among Black participants, who also had the shortest sleep duration. Overall, light at night was associated with 80% higher prevalence of short sleep duration [1.80 (1.49, 2.18)]. Compared to no-light at night, low and high light at night were associated with higher prevalence of short sleep duration, [1.61 (1.31, 1.98) and 2.01 (1.66, 2.44), respectively]. Associations varied by race/ethnicity and sex. Light at night was associated with shorter sleep duration in Black, Mexican and White females and Mexican and White males only. Black males exposed to light at night vs. no-light at night had lower prevalence of long sleep duration. There were no associations between light at night and sleep duration among Asian participants.
Conclusion
Light at night was associated with shorter sleep duration, particularly among females. Targeting light exposure may help to improve sleep duration.
{"title":"Racial/ethnic and sex differences in the association between light at night and actigraphy-measured sleep duration in adults: NHANES 2011-2014","authors":"Dayna A. Johnson PhD, MPH, MS , Danielle A. Wallace PhD, MPH , Laura Ward MS","doi":"10.1016/j.sleh.2023.09.011","DOIUrl":"10.1016/j.sleh.2023.09.011","url":null,"abstract":"<div><h3>Objective</h3><p>Historically minoritized individuals experience greater exposure to light at night, yet it is unclear whether the association between light at night and sleep duration<span> vary by race/ethnicity or sex. We examined the association between light at night and sleep duration by race/ethnicity and sex.</span></p></div><div><h3>Methods</h3><p>Participants (N = 6089, mean age<!--> <!-->=<!--> <span>49.5, 52% women, 13% Asian, 27% Black, 14% Mexican, 46% White) in the 2011-2014 National Health and Nutrition Examination Survey<span> underwent 9-day of actigraphy. Light at night was defined as light exposure within the 5-hour activity nadir (L5). Sleep duration within a 24-hour period was analyzed as short (<7 hours) or long (>9 hours) compared to recommended (≥7 and <9 hours). Poisson models were fit to estimate the association between light at night and sleep duration after adjustment for covariates.</span></span></p></div><div><h3>Results</h3><p>Light at night was most common among Black participants, who also had the shortest sleep duration. Overall, light at night was associated with 80% higher prevalence of short sleep duration [1.80 (1.49, 2.18)]. Compared to no-light at night, low and high light at night were associated with higher prevalence of short sleep duration, [1.61 (1.31, 1.98) and 2.01 (1.66, 2.44), respectively]. Associations varied by race/ethnicity and sex. Light at night was associated with shorter sleep duration in Black, Mexican and White females and Mexican and White males only. Black males exposed to light at night vs. no-light at night had lower prevalence of long sleep duration. There were no associations between light at night and sleep duration among Asian participants.</p></div><div><h3>Conclusion</h3><p>Light at night was associated with shorter sleep duration, particularly among females. Targeting light exposure may help to improve sleep duration.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89720036","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 : 2024-02-01DOI: 10.1016/j.sleh.2024.01.001
Derk-Jan Dijk PhD , Anne C. Skeldon PhD
{"title":"On the need for mathematical models for integration of sleep, circadian, and environmental science for sleep health policies","authors":"Derk-Jan Dijk PhD , Anne C. Skeldon PhD","doi":"10.1016/j.sleh.2024.01.001","DOIUrl":"10.1016/j.sleh.2024.01.001","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352721824000032/pdfft?md5=c5b9de76ac426101d717558e84cb880c&pid=1-s2.0-S2352721824000032-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139643164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.1016/j.sleh.2024.01.003
Elizabeth B. Klerman MD PhD , Kenneth P. Wright Jr. PhD , Jeanne F. Duffy MBA PhD , Frank A.J.L. Scheer PhD , Anne-Marie Chang PhD , Charles A. Czeisler PhD MD , Shantha MW Rajaratnam PhD
{"title":"A perspective on the Festschrift of Charles A. Czeisler, PhD MD","authors":"Elizabeth B. Klerman MD PhD , Kenneth P. Wright Jr. PhD , Jeanne F. Duffy MBA PhD , Frank A.J.L. Scheer PhD , Anne-Marie Chang PhD , Charles A. Czeisler PhD MD , Shantha MW Rajaratnam PhD","doi":"10.1016/j.sleh.2024.01.003","DOIUrl":"10.1016/j.sleh.2024.01.003","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139708242","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 : 2024-02-01DOI: 10.1016/j.sleh.2023.10.006
Gina Marie Mathew PhD , Nicole G. Nahmod MPH, MMS , Lindsay Master MAS , David A. Reichenberger PhD , Asher Y. Rosinger PhD, MPH , Anne-Marie Chang PhD
Objectives
Short sleep duration is associated with poor physical health in college students. Few studies examine the effects of sleep extension on physical health in this population, who are susceptible to sleep loss. We examined health effects of a 1-week, 1-hour nightly sleep extension in college students.
Methods
Twelve healthy undergraduate college students (83% female; age 20.2 ± 1.5 years) completed a study consisting of sleeping typically for 1 week (“Habitual”), then extending sleep by ≥1 hour/night during the second week (“Extension”). Sleep and physical activity actigraphy were collected throughout. Following each week, participants completed cardiometabolic assessments including a meal response and provided a urine sample for markers of hydration.
Results
In Extension compared to Habitual, average sleep duration increased (mean change ± SEM, +42.6 ± 15.1 minutes; p = .005), while subjective sleepiness (−1.8 ± 0.8 units; p = .040), systolic blood pressure (−6.6 ± 2.8 mmHg; p = .037), postprandial glucose area under the curve (−26.5 ± 10.2 mg/dL × h; p = .025) and time to baseline (−83.0 ± 46.4 minutes; p = .031) after the meal response, sedentary time (−44.3 ± 15.7 minutes; p = .018), and percentage of wake in moderate-to-vigorous activity (−0.89% ± 0.35%; p = .030) decreased. Participants who increased average sleep duration by ≥20 minutes (n = 9) were better hydrated according to urine osmolality (−187.0 ± 68.4 mOsm/kg; p = .026) and specific gravity (−0.01 ± 0.002 g/mL; p = .012) and had reduced odds of dehydration according to urine osmolality (≥800 mOsm/kg; −67%; OR = 0.03; p = .035).
Conclusions
This pilot study's findings suggest that sleep extension may improve cardiometabolic functioning and hydration, and alter sedentary behavior and physical activity, in college students. Sleep extension may be employed to improve multiple aspects of health in this sleep-deprived population.
{"title":"Effects of a 1-hour per night week-long sleep extension in college students on cardiometabolic parameters, hydration status, and physical activity: A pilot study","authors":"Gina Marie Mathew PhD , Nicole G. Nahmod MPH, MMS , Lindsay Master MAS , David A. Reichenberger PhD , Asher Y. Rosinger PhD, MPH , Anne-Marie Chang PhD","doi":"10.1016/j.sleh.2023.10.006","DOIUrl":"10.1016/j.sleh.2023.10.006","url":null,"abstract":"<div><h3>Objectives</h3><p>Short sleep duration is associated with poor physical health in college students. Few studies examine the effects of sleep extension on physical health in this population, who are susceptible to sleep loss. We examined health effects of a 1-week, 1-hour nightly sleep extension in college students.</p></div><div><h3>Methods</h3><p>Twelve healthy undergraduate college students (83% female; age 20.2 ± 1.5<!--> <!-->years) completed a study consisting of sleeping typically for 1<!--> <span>week (“Habitual”), then extending sleep by ≥1 hour/night during the second week (“Extension”). Sleep and physical activity<span> actigraphy were collected throughout. Following each week, participants completed cardiometabolic assessments including a meal response and provided a urine sample for markers of hydration.</span></span></p></div><div><h3>Results</h3><p><span>In Extension compared to Habitual, average sleep duration increased (mean change</span> <!-->±<!--> <em>SEM</em>, +42.6 ± 15.1 minutes; <em>p</em><span> = .005), while subjective sleepiness (−1.8 ± 0.8 units; </span><em>p =</em><span> .040), systolic blood pressure (−6.6 ± 2.8 mmHg; </span><em>p</em><span> = .037), postprandial glucose area under the curve (−26.5 ± 10.2 mg/dL × h; </span><em>p</em> = .025) and time to baseline (−83.0 ± 46.4 minutes; <em>p</em> = .031) after the meal response, sedentary time (−44.3 ± 15.7 minutes; <em>p</em> = .018), and percentage of wake in moderate-to-vigorous activity (−0.89% ± 0.35%; <em>p</em> = .030) decreased. Participants who increased average sleep duration by ≥20 minutes (<em>n</em><span> = 9) were better hydrated according to urine osmolality (−187.0 ± 68.4 mOsm/kg; </span><em>p</em> = .026) and specific gravity (−0.01 ± 0.002 g/mL; <em>p</em> = .012) and had reduced odds of dehydration according to urine osmolality (≥800 mOsm/kg; −67%; OR<!--> <!-->=<!--> <!-->0.03; <em>p</em> = .035).</p></div><div><h3>Conclusions</h3><p>This pilot study's findings suggest that sleep extension may improve cardiometabolic functioning and hydration, and alter sedentary behavior and physical activity, in college students. Sleep extension may be employed to improve multiple aspects of health in this sleep-deprived population.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138300367","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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