Pub Date : 2025-08-01DOI: 10.1016/j.sleh.2024.10.007
Symielle A. Gaston PhD, MPH , Christopher Payne MA , Dana M. Alhasan PhD, MPH , Rupsha Singh PhD , Jamie A. Murkey PhD, MPH , W. Braxton Jackson II MPH , Chandra L. Jackson PhD, MS
Objectives
Neighborhood social cohesion or living in communities characterized by trust and social ties may mitigate sleep disparities among sexual minoritized vs. heterosexual persons; but its relation to sleep health is understudied among sexual minoritized groups. To investigate associations between perceived neighborhood social cohesion and sleep health among adult US men and women who identified as “lesbian or gay, bisexual, or something else,” we used cross-sectional National Health Interview Survey data (2013-2018).
Methods
Participants reported neighborhood social cohesion (categorized as low or medium vs. high) and sleep characteristics. Adjusting for sociodemographic, health, and residential characteristics, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals for poor sleep.
Results
Among 4666 sexual minoritized adults, 44% reported low, 32% medium, and 24% high neighborhood social cohesion. Women, minoritized racial/ethnic groups, and young adults disproportionately reported low neighborhood social cohesion. Overall, low vs. high neighborhood social cohesion was associated with a higher prevalence of short sleep (PR = 1.27 [95% confidence interval:1.11-1.45]) and all sleep disturbances (e.g., PRinsomnia symptoms = 1.36 [1.19-1.55]). PRs were often higher as intersectionality or membership to multiple minoritized groups increased.
Conclusions
Lower perceived neighborhood social cohesion was associated with poorer sleep. Fostering community cohesiveness may mitigate sleep disparities among sexual minoritized adults.
{"title":"Neighborhood social cohesion and sleep health among sexual minoritized US adults and intersections with sex/gender, race/ethnicity, and age","authors":"Symielle A. Gaston PhD, MPH , Christopher Payne MA , Dana M. Alhasan PhD, MPH , Rupsha Singh PhD , Jamie A. Murkey PhD, MPH , W. Braxton Jackson II MPH , Chandra L. Jackson PhD, MS","doi":"10.1016/j.sleh.2024.10.007","DOIUrl":"10.1016/j.sleh.2024.10.007","url":null,"abstract":"<div><h3>Objectives</h3><div>Neighborhood social cohesion or living in communities characterized by trust and social ties may mitigate sleep disparities among sexual minoritized vs. heterosexual persons; but its relation to sleep health is understudied among sexual minoritized groups. To investigate associations between perceived neighborhood social cohesion and sleep health among adult US men and women who identified as “lesbian or gay, bisexual, or something else,” we used cross-sectional National Health Interview Survey data (2013-2018).</div></div><div><h3>Methods</h3><div>Participants reported neighborhood social cohesion (categorized as low or medium vs. high) and sleep characteristics. Adjusting for sociodemographic, health, and residential characteristics, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals for poor sleep.</div></div><div><h3>Results</h3><div>Among 4666 sexual minoritized adults, 44% reported low, 32% medium, and 24% high neighborhood social cohesion. Women, minoritized racial/ethnic groups, and young adults disproportionately reported low neighborhood social cohesion. Overall, low vs. high neighborhood social cohesion was associated with a higher prevalence of short sleep (PR<!--> <!-->=<!--> <!-->1.27 [95% confidence interval:1.11-1.45]) and all sleep disturbances (e.g., PR<sub>insomnia symptoms</sub> <!-->=<!--> <!-->1.36 [1.19-1.55]). PRs were often higher as intersectionality or membership to multiple minoritized groups increased.</div></div><div><h3>Conclusions</h3><div>Lower perceived neighborhood social cohesion was associated with poorer sleep. Fostering community cohesiveness may mitigate sleep disparities among sexual minoritized adults.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 439-448"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683045","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 : 2025-08-01DOI: 10.1016/j.sleh.2025.01.010
Dzifa Adjaye-Gbewonyo PhD , Amanda E. Ng PhD , Dayna A. Johnson PhD , Chandra L. Jackson PhD
Objectives
To identify associations between perceived neighborhood walkability and sleep across racial and ethnic groups of US adults.
Methods
Data from the 2020 National Health Interview Survey (N = 27,521) were used to assess self-reported measures of walkability (pedestrian access, accessible amenities, unsafe walking conditions) and sleep (short and long duration; frequency of waking up unrested, trouble falling and staying asleep, sleep medication use). Stratified by racial and ethnic group, we calculated the age-adjusted prevalence of neighborhood walkability features and sleep measures and estimated prevalence ratios assessing associations between neighborhood walkability and sleep while adjusting for sociodemographic and health covariates.
Results
The prevalence of unsafe walking conditions due to crime was lowest among non-Hispanic White adults (6.9%), and access to places to relax was lowest among non-Hispanic Black adults (72.5%). The prevalence of short sleep duration was highest among non-Hispanic Black adults (37.9%). Neighborhood environment features had differential associations with sleep when stratified by race and ethnicity. For example, walking path access was related to lower sleep medication use among non-Hispanic Asian adults (adjusted prevalence ratio (aPR): 0.42, 95% CI: 0.19-0.91) but greater use among non-Hispanic White adults (aPR: 1.24, 95% CI: 1.05-1.46). More associations were observed among non-Hispanic White adults than other groups; and the strongest magnitude of association was observed among non-Hispanic Asian adults (traffic and sleep medication aPR: 0.31, 95% CI: 0.12-0.84).
Conclusions
Associations between the neighborhood environment and sleep vary and may be inconsistent by race and ethnicity. Future research may help identify determinants.
{"title":"Racial and ethnic disparities in the perceived neighborhood walking environment and self-reported sleep health: A nationally representative sample of the United States","authors":"Dzifa Adjaye-Gbewonyo PhD , Amanda E. Ng PhD , Dayna A. Johnson PhD , Chandra L. Jackson PhD","doi":"10.1016/j.sleh.2025.01.010","DOIUrl":"10.1016/j.sleh.2025.01.010","url":null,"abstract":"<div><h3>Objectives</h3><div>To identify associations between perceived neighborhood walkability and sleep across racial and ethnic groups of US adults.</div></div><div><h3>Methods</h3><div>Data from the 2020 National Health Interview Survey (N<!--> <!-->=<!--> <!-->27,521) were used to assess self-reported measures of walkability (pedestrian access, accessible amenities, unsafe walking conditions) and sleep (short and long duration; frequency of waking up unrested, trouble falling and staying asleep, sleep medication use). Stratified by racial and ethnic group, we calculated the age-adjusted prevalence of neighborhood walkability features and sleep measures and estimated prevalence ratios assessing associations between neighborhood walkability and sleep while adjusting for sociodemographic and health covariates.</div></div><div><h3>Results</h3><div>The prevalence of unsafe walking conditions due to crime was lowest among non-Hispanic White adults (6.9%), and access to places to relax was lowest among non-Hispanic Black adults (72.5%). The prevalence of short sleep duration was highest among non-Hispanic Black adults (37.9%). Neighborhood environment features had differential associations with sleep when stratified by race and ethnicity. For example, walking path access was related to lower sleep medication use among non-Hispanic Asian adults (adjusted prevalence ratio (aPR): 0.42, 95% CI: 0.19-0.91) but greater use among non-Hispanic White adults (aPR: 1.24, 95% CI: 1.05-1.46). More associations were observed among non-Hispanic White adults than other groups; and the strongest magnitude of association was observed among non-Hispanic Asian adults (traffic and sleep medication aPR: 0.31, 95% CI: 0.12-0.84).</div></div><div><h3>Conclusions</h3><div>Associations between the neighborhood environment and sleep vary and may be inconsistent by race and ethnicity. Future research may help identify determinants.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 495-505"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617661","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 : 2025-08-01DOI: 10.1016/j.sleh.2024.06.004
Jing Wang MS , Seyni Gueye-Ndiaye MD , Cecilia Castro-Diehl DrPH , Sanjana Bhaskar MPhil, MS , Le Li MS , Meg Tully MBiostat , Michael Rueschman MPH , Judith Owens MD, MPH , Diane R. Gold MD, MPH , Jarvis Chen ScD , Wanda Phipatanakul MD, MS , Gary Adamkiewicz PhD, MPH , Susan Redline MD, MPH
Objectives
Environmental risk factors may contribute to sleep-disordered breathing. We investigated the association between indoor particulate matter ≤2.5 µm in aerodynamic diameter (PM2.5) and sleep-disordered breathing in children in an urban US community.
Methods
The sample consisted of children aged 6-12 years living in predominantly low-income neighborhoods in Boston, Massachusetts. Indoor PM2.5 was measured in participants’ main living areas for 7 days using the Environmental Multipollutant Monitoring Assembly device. High indoor PM2.5 exposure was defined as greater than the sample weekly average 80th percentile level (≥15.6 μg/m3). Sleep-disordered breathing was defined as an Apnea-Hypopnea-Index (AHI) or Oxygen-Desaturation-Index (ODI) (≥3% desaturation) of ≥5 events/hour. Habitual loud snoring was defined as caregiver-report of loud snoring (most or all the time each week) over the past 4 weeks. We examined the associations of PM2.5 with sleep-disordered breathing or snoring using logistic regression adjusting for potential confounders.
Results
The sample included 260 children (mean age 9.6 years; 41% female), with 32% (n = 76) classified as having sleep-disordered breathing. In a logistic regression model adjusted for socioeconomics and seasonality, children exposed to high indoor PM2.5 levels (n = 53) had a 3.53-fold increased odds for sleep-disordered breathing (95%CI: 1.57, 8.11, p = .002) compared to those with lower indoor PM2.5. This association persisted after additional adjustments for physical activity, outdoor PM2.5, environmental tobacco smoke, and health characteristics. Similar associations were observed for snoring and indoor PM2.5.
Conclusions
Children with higher indoor PM2.5 exposure had greater odds of sleep-disordered breathing and habitual loud snoring, suggesting that indoor air quality contributes to sleep disparities.
{"title":"Associations between indoor fine particulate matter (PM2.5) and sleep-disordered breathing in an urban sample of school-aged children","authors":"Jing Wang MS , Seyni Gueye-Ndiaye MD , Cecilia Castro-Diehl DrPH , Sanjana Bhaskar MPhil, MS , Le Li MS , Meg Tully MBiostat , Michael Rueschman MPH , Judith Owens MD, MPH , Diane R. Gold MD, MPH , Jarvis Chen ScD , Wanda Phipatanakul MD, MS , Gary Adamkiewicz PhD, MPH , Susan Redline MD, MPH","doi":"10.1016/j.sleh.2024.06.004","DOIUrl":"10.1016/j.sleh.2024.06.004","url":null,"abstract":"<div><h3>Objectives</h3><div><span>Environmental risk factors may contribute to sleep-disordered breathing. We investigated the association between indoor particulate matter ≤2.5</span> <!-->µm in aerodynamic diameter (PM<sub>2.5</sub>) and sleep-disordered breathing in children in an urban US community.</div></div><div><h3>Methods</h3><div>The sample consisted of children aged 6-12<!--> <!-->years living in predominantly low-income neighborhoods in Boston, Massachusetts. Indoor PM<sub>2.5</sub> was measured in participants’ main living areas for 7<!--> <!-->days using the Environmental Multipollutant Monitoring Assembly device. High indoor PM<sub>2.5</sub> exposure was defined as greater than the sample weekly average 80th percentile level (≥15.6 μg/m<sup>3</sup>). Sleep-disordered breathing was defined as an Apnea-Hypopnea-Index (AHI) or Oxygen-Desaturation-Index (ODI) (≥3% desaturation) of ≥5 events/hour. Habitual loud snoring was defined as caregiver-report of loud snoring (most or all the time each week) over the past 4<!--> <!-->weeks. We examined the associations of PM<sub>2.5</sub><span> with sleep-disordered breathing or snoring using logistic regression adjusting for potential confounders.</span></div></div><div><h3>Results</h3><div>The sample included 260 children (mean age 9.6<!--> <!-->years; 41% female), with 32% (n = 76) classified as having sleep-disordered breathing. In a logistic regression model adjusted for socioeconomics and seasonality, children exposed to high indoor PM<sub>2.5</sub> levels (n = 53) had a 3.53-fold increased odds for sleep-disordered breathing (95%CI: 1.57, 8.11, <em>p</em> = .002) compared to those with lower indoor PM<sub>2.5</sub>. This association persisted after additional adjustments for physical activity, outdoor PM<sub>2.5</sub>, environmental tobacco smoke, and health characteristics. Similar associations were observed for snoring and indoor PM<sub>2.5.</sub></div></div><div><h3>Conclusions</h3><div>Children with higher indoor PM<sub>2.5</sub> exposure had greater odds of sleep-disordered breathing and habitual loud snoring, suggesting that indoor air quality contributes to sleep disparities.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 408-414"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141879645","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 : 2025-08-01DOI: 10.1016/j.sleh.2024.11.003
Terrence D. Hill PhD , Qiliang He PhD , Jennifer Zhang MS , Laura Upenieks PhD , Christopher G. Ellison PhD
Objectives
Drawing on the socioecological model of sleep health, we formally examine the association between neighborhood disorder and sleep efficiency. While most studies focus on direct associations with neighborhood context, we also consider whether the relationship between religious attendance and sleep efficiency varies as a function of neighborhood disorder.
Design
We use ordinary least squares regression to model cross-sectional survey data.
Setting
The United States.
Participants
The All of Us Research Program is based on a nonprobability sample of 5168 adults aged 18 and over.
Measurements
Our analyses include an index of perceived neighborhood disorder, a single-item measure of religious attendance, and an objective measure of sleep efficiency based on wrist actigraphy.
Results
While perceptions of neighborhood disorder are inversely associated with sleep efficiency, religious attendance is positively associated with sleep efficiency. The association between religious attendance and sleep efficiency did not vary across levels of neighborhood disorder.
Conclusion
Our analyses add to a growing literature on the association of neighborhood disorder with objective indicators of sleep health. To our knowledge, we are among the first to observe any association between religious attendance and sleep efficiency. We extended the socioecological model of sleep health by framing neighborhood disorder as a moderator.
{"title":"A socioecological model of neighborhood disorder, religious attendance, and sleep efficiency","authors":"Terrence D. Hill PhD , Qiliang He PhD , Jennifer Zhang MS , Laura Upenieks PhD , Christopher G. Ellison PhD","doi":"10.1016/j.sleh.2024.11.003","DOIUrl":"10.1016/j.sleh.2024.11.003","url":null,"abstract":"<div><h3>Objectives</h3><div>Drawing on the socioecological model of sleep health, we formally examine the association between neighborhood disorder and sleep efficiency. While most studies focus on direct associations with neighborhood context, we also consider whether the relationship between religious attendance and sleep efficiency varies as a function of neighborhood disorder.</div></div><div><h3>Design</h3><div>We use ordinary least squares regression to model cross-sectional survey data.</div></div><div><h3>Setting</h3><div>The United States.</div></div><div><h3>Participants</h3><div>The <em>All of Us Research Program</em> is based on a nonprobability sample of 5168 adults aged 18 and over.</div></div><div><h3>Measurements</h3><div>Our analyses include an index of perceived neighborhood disorder, a single-item measure of religious attendance, and an objective measure of sleep efficiency based on wrist actigraphy.</div></div><div><h3>Results</h3><div>While perceptions of neighborhood disorder are inversely associated with sleep efficiency, religious attendance is positively associated with sleep efficiency. The association between religious attendance and sleep efficiency did not vary across levels of neighborhood disorder.</div></div><div><h3>Conclusion</h3><div>Our analyses add to a growing literature on the association of neighborhood disorder with objective indicators of sleep health. To our knowledge, we are among the first to observe any association between religious attendance and sleep efficiency. We extended the socioecological model of sleep health by framing neighborhood disorder as a moderator.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 515-521"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956678","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 : 2025-08-01DOI: 10.1016/j.sleh.2025.02.010
Swaty Chapagai PhD , Thanh-Huyen Vu MD, PhD , Shaina J. Alexandria PhD , Kathryn J. Reid PhD , Sabra Abbott MD, PhD , Katharine Harrington MPH , S. Justin Thomas PhD , Cora E. Lewis MD , Pamela J. Schreiner PhD , Mercedes R. Carnethon PhD , Kristen L. Knutson PhD
Objectives
Household environmental factors and sleep hygiene may contribute to poor sleep health. We identified associations between household sleep environment (HHSE) and sleep health characteristics in White and Black adults.
Methods
This study included cross-sectional data from the CARDIA sleep ancillary study at Year 35 (n = 711). HHSE was assessed in two domains (sleep disruptors and sleep hygiene) using a questionnaire, and higher scores indicated more sleep disruptors or poorer sleep hygiene. Sleep outcomes included (1) self-reported sleep quality and daytime sleepiness and (2) actigraphy-measured sleep duration, sleep percentage, sleep timing (midpoint sleep time), and sleep regularity. We used robust regression to estimate differences in sleep outcomes corresponding to each 1-point increment in HHSE. Racial differences in associations of interest were examined by testing for interaction.
Results
Participants’ mean age was 61.5 (SD = 3.6) years, 63% were women, and 36.7% were Black. After multivariable adjustment (β [95% CI]), more sleep disruptors (0.145 [0.04, 0.24]) and poor sleep hygiene (0.170 [0.10, 0.23]) were associated with self-reported poor sleep quality. Poor sleep hygiene was associated with actigraphy-measured shorter sleep duration (−1.397 [−2.73, −0.01]) and sleep irregularity (0.017 [0.01, 0.02]). In stratified analysis, more sleep disruptors were associated with poor sleep quality (0.320 [0.10, 0.53]) and greater daytime sleepiness (0.330 [0.11, 0.54]) only in Black participants.
Conclusions
Poor HHSE was related to self-reported poor sleep quality and to objective shorter sleep duration and sleep irregularity. Targeted interventions to mitigate sleep disruptors and promote good sleep hygiene may help to improve sleep health.
{"title":"Association between household sleep environment and sleep health characteristics in middle-aged adults: The CARDIA sleep study","authors":"Swaty Chapagai PhD , Thanh-Huyen Vu MD, PhD , Shaina J. Alexandria PhD , Kathryn J. Reid PhD , Sabra Abbott MD, PhD , Katharine Harrington MPH , S. Justin Thomas PhD , Cora E. Lewis MD , Pamela J. Schreiner PhD , Mercedes R. Carnethon PhD , Kristen L. Knutson PhD","doi":"10.1016/j.sleh.2025.02.010","DOIUrl":"10.1016/j.sleh.2025.02.010","url":null,"abstract":"<div><h3>Objectives</h3><div>Household environmental factors<span> and sleep hygiene may contribute to poor sleep health. We identified associations between household sleep environment (HHSE) and sleep health characteristics in White and Black adults.</span></div></div><div><h3>Methods</h3><div><span>This study included cross-sectional data from the CARDIA sleep ancillary study at Year 35 (n</span> <!-->=<!--> <span><span><span>711). HHSE was assessed in two domains (sleep disruptors and sleep hygiene) using a questionnaire, and higher scores indicated more sleep disruptors or poorer sleep hygiene. Sleep outcomes included (1) self-reported sleep quality and </span>daytime sleepiness and (2) actigraphy-measured </span>sleep duration<span>, sleep percentage, sleep timing (midpoint sleep time), and sleep regularity. We used robust regression to estimate differences in sleep outcomes corresponding to each 1-point increment in HHSE. Racial differences in associations of interest were examined by testing for interaction.</span></span></div></div><div><h3>Results</h3><div>Participants’ mean age was 61.5 (SD<!--> <!-->=<!--> <span><span>3.6) years, 63% were women, and 36.7% were Black. After multivariable adjustment (β [95% CI]), more sleep disruptors (0.145 [0.04, 0.24]) and poor sleep hygiene (0.170 [0.10, 0.23]) were associated with self-reported poor sleep quality. Poor sleep hygiene was associated with actigraphy-measured shorter sleep duration (−1.397 [−2.73, −0.01]) and sleep irregularity (0.017 [0.01, 0.02]). In stratified analysis, more sleep disruptors were associated with poor sleep quality (0.320 [0.10, 0.53]) and greater </span>daytime sleepiness (0.330 [0.11, 0.54]) only in Black participants.</span></div></div><div><h3>Conclusions</h3><div>Poor HHSE was related to self-reported poor sleep quality and to objective shorter sleep duration and sleep irregularity. Targeted interventions to mitigate sleep disruptors and promote good sleep hygiene may help to improve sleep health.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 469-476"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144057477","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 : 2025-08-01DOI: 10.1016/j.sleh.2025.04.004
Joseph M. Dzierzewski PhD , Alysa N. Miller PhD, MPH , Spencer A. Nielson MS , Natalie D. Dautovich PhD
Objectives
The dynamics of presidential campaigns and elections may have a negative effect on sleep health; however, most research is focused on election nights. The current study examined the impact of the 2024 presidential election on sleep during the broader election campaign period, exploring potential demographic differences in negative impact.
Methods
The National Sleep Foundation conducted a survey among a nationally-representative, random sample of 1421 American adults, including questions on election-related sleep impact, sleep duration and quality.
Results
Seventeen percent of US adults reported a negative impact of the 2024 presidential election campaign on their sleep, with significant group differences observed across age, race/ethnicity, employment status, and household composition.
Conclusions
Major social events like the 2024 presidential campaign and election can negatively impact sleep health, with some individuals being more susceptible to negative effects. Future studies are needed to better understand the potential widespread negative consequences of common social experiences and strategies to mitigate their effects.
{"title":"The impact of the 2024 US presidential election campaign on population sleep: A representative survey from National Sleep Foundation","authors":"Joseph M. Dzierzewski PhD , Alysa N. Miller PhD, MPH , Spencer A. Nielson MS , Natalie D. Dautovich PhD","doi":"10.1016/j.sleh.2025.04.004","DOIUrl":"10.1016/j.sleh.2025.04.004","url":null,"abstract":"<div><h3>Objectives</h3><div>The dynamics of presidential campaigns and elections may have a negative effect on sleep health; however, most research is focused on election nights. The current study examined the impact of the 2024 presidential election on sleep during the broader election campaign period, exploring potential demographic differences in negative impact.</div></div><div><h3>Methods</h3><div>The National Sleep Foundation conducted a survey among a nationally-representative, random sample of 1421 American adults, including questions on election-related sleep impact, sleep duration and quality.</div></div><div><h3>Results</h3><div>Seventeen percent of US adults reported a negative impact of the 2024 presidential election campaign on their sleep, with significant group differences observed across age, race/ethnicity, employment status, and household composition.</div></div><div><h3>Conclusions</h3><div>Major social events like the 2024 presidential campaign and election can negatively impact sleep health, with some individuals being more susceptible to negative effects. Future studies are needed to better understand the potential widespread negative consequences of common social experiences and strategies to mitigate their effects.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 543-546"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144162927","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 : 2025-08-01DOI: 10.1016/j.sleh.2025.06.004
Emmanuel Kyeremeh PhD , Joseph Braimah PhD , Daniel Amoak PhD , Evans Batung MA , Roger Antabe PhD , Eugena Kwon PhD
Objective
The Canadian 24-Hour Movement Guidelines for Adults and National Sleep Foundation recommend a sleep duration of 7-9 hours for working aged adults aged 18-64 and 7-8 hours for older adults aged 65+. While various factors associated with sleep duration have been identified in studies, the association between sleep duration and a sense of community belonging—a factor crucial for overall health—remains largely unexplored.
Methods
To fill this gap, we utilized the 2015-16 Canadian Community Health Survey to investigate this association among working aged-adults 18-64 and older adults aged 65+ using multivariable multinomial logit models.
Results
Our findings indicate that working-aged adults with a somewhat weak (RRR = 1.18, 95% CI = 1.02, 1.37) or very weak (RRR = 1.29, 95% CI = 1.05, 1.56) sense of community belonging are more likely to report “short duration” compared to those with a very strong sense of community belonging. Similarly, working-aged adults with a very weak sense of community belonging (RRR = 1.66, 95% CI = 1.02, 2.69) are more likely to report “long duration.” However, no significant relationship was found between sense of community belonging and sleep duration among older adults.
Conclusion
Our study highlights the association between sense of community belonging and sleep duration among working-aged adults and older adults in Canada.
目的:加拿大成人24小时运动指南和国家睡眠基金会建议18-64岁的工作成年人睡眠时间为7-9小时,65岁以上的老年人睡眠时间为7-8小时。虽然研究已经确定了与睡眠时间相关的各种因素,但睡眠时间与社区归属感之间的关系——这是对整体健康至关重要的一个因素——在很大程度上仍未被探索。方法:为了填补这一空白,我们利用2015-16年加拿大社区健康调查,使用多变量多项logit模型调查18-64岁的工作年龄成年人和65岁以上的老年人之间的这种关联。结果:我们的研究结果表明,与社区归属感很强的人相比,社区归属感较弱(RRR = 1.18, 95% CI = 1.02, 1.37)或非常弱(RRR = 1.29, 95% CI = 1.05, 1.56)的工作年龄成年人更有可能报告“持续时间短”。同样,社区归属感非常弱的工作年龄成年人(rr = 1.66, 95% CI = 1.02, 2.69)更有可能报告“持续时间长”。然而,老年人的社区归属感与睡眠时间之间没有显著的关系。结论:我们的研究强调了加拿大工作年龄成年人和老年人的社区归属感和睡眠时间之间的联系。
{"title":"Exploring the relationship between sleep duration and sense of community belonging: Insights from the 2015-16 Canadian Community Health Survey","authors":"Emmanuel Kyeremeh PhD , Joseph Braimah PhD , Daniel Amoak PhD , Evans Batung MA , Roger Antabe PhD , Eugena Kwon PhD","doi":"10.1016/j.sleh.2025.06.004","DOIUrl":"10.1016/j.sleh.2025.06.004","url":null,"abstract":"<div><h3>Objective</h3><div>The Canadian 24-Hour Movement Guidelines for Adults and National Sleep Foundation recommend a sleep duration of 7-9<!--> <!-->hours for working aged adults aged 18-64 and 7-8<!--> <!-->hours for older adults aged 65+. While various factors associated with sleep duration have been identified in studies, the association between sleep duration and a sense of community belonging—a factor crucial for overall health—remains largely unexplored.</div></div><div><h3>Methods</h3><div>To fill this gap, we utilized the 2015-16 Canadian Community Health Survey to investigate this association among working aged-adults 18-64 and older adults aged 65+ using multivariable multinomial logit models.</div></div><div><h3>Results</h3><div>Our findings indicate that working-aged adults with a somewhat weak (RRR = 1.18, 95% CI = 1.02, 1.37) or very weak (RRR = 1.29, 95% CI = 1.05, 1.56) sense of community belonging are more likely to report “short duration” compared to those with a very strong sense of community belonging. Similarly, working-aged adults with a very weak sense of community belonging (RRR = 1.66, 95% CI = 1.02, 2.69) are more likely to report “long duration.” However, no significant relationship was found between sense of community belonging and sleep duration among older adults.</div></div><div><h3>Conclusion</h3><div>Our study highlights the association between sense of community belonging and sleep duration among working-aged adults and older adults in Canada.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 536-542"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144620922","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 : 2025-08-01DOI: 10.1016/j.sleh.2025.07.001
Amy M. Bohnert PhD , Maureen T.S. Burns MA , Julianna P. Adornetti BA , Gregory J. Matthews PhD , Patrick L. Tu , Michelle A. Chen PhD , Hee Moon BA , Jungwon Kim BA , Edith Chen PhD
Objective
Despite policies that promote poor sleep environments for many Black families, the links between neighborhood characteristics and adolescent sleep health have received little attention.
Methods
Adolescents (N = 400; M age 16.39 years; 64% female at birth) who identified as Black/African American residing in a large metropolitan area and their caregivers participated. Caregivers provided demographic information and completed measures of neighborhood safety and cohesion. Home addresses were geocoded to census tract to generate COI 3.0 scores (overall, three domains and 14 subdomains). Adolescents wore actigraphs for 8 days to derive sleep indices (timing, duration, efficiency, and regularity). Linear mixed models examined associations between neighborhood variables and sleep indices adjusting for age, sex, household income, caregivers’ highest level of education, and weekend status.
Results
Adolescents were underslept with sleep duration averaging 6.2 hours/night with sleep onset times of 12:57 AM and offset times of 8:17 AM averaged across 8 days. Males had later sleep onset, fewer hours of sleep, less efficient sleep, and more variability in their waketimes as compared with females. Living in a neighborhood with more educational and housing resources, less air pollution, and lower employment rates was associated with greater sleep efficiency, earlier bedtimes, and less bedtime variability.
Conclusions
Black urban-dwelling adolescents are not getting adequate sleep, and males are at greater risk. Residing in neighborhoods with fewer educational opportunities and more air pollution was linked to sleep. Future work should consider the role of policy changes and protective factors that may mitigate associations between neighborhood factors on sleep health.
{"title":"Evaluating associations between neighborhood resources and sleep health among urban-dwelling Black adolescents","authors":"Amy M. Bohnert PhD , Maureen T.S. Burns MA , Julianna P. Adornetti BA , Gregory J. Matthews PhD , Patrick L. Tu , Michelle A. Chen PhD , Hee Moon BA , Jungwon Kim BA , Edith Chen PhD","doi":"10.1016/j.sleh.2025.07.001","DOIUrl":"10.1016/j.sleh.2025.07.001","url":null,"abstract":"<div><h3>Objective</h3><div>Despite policies that promote poor sleep environments for many Black families, the links between neighborhood characteristics and adolescent sleep health have received little attention.</div></div><div><h3>Methods</h3><div>Adolescents (<em>N</em> = 400; <em>M</em><span><span> age 16.39 years; 64% female at birth) who identified as Black/African American residing in a large metropolitan area and their caregivers participated. Caregivers provided demographic information and completed measures of neighborhood safety and cohesion. Home addresses were geocoded to census tract to generate COI 3.0 scores (overall, three domains and 14 subdomains). Adolescents wore </span>actigraphs for 8 days to derive sleep indices (timing, duration, efficiency, and regularity). Linear mixed models examined associations between neighborhood variables and sleep indices adjusting for age, sex, household income, caregivers’ highest level of education, and weekend status.</span></div></div><div><h3>Results</h3><div>Adolescents were underslept with sleep duration averaging 6.2 hours/night with sleep onset times of 12:57 AM and offset times of 8:17 AM averaged across 8 days. Males had later sleep onset, fewer hours of sleep, less efficient sleep, and more variability in their waketimes as compared with females. Living in a neighborhood with more educational and housing resources, less air pollution, and lower employment rates was associated with greater sleep efficiency, earlier bedtimes, and less bedtime variability.</div></div><div><h3>Conclusions</h3><div>Black urban-dwelling adolescents are not getting adequate sleep, and males are at greater risk. Residing in neighborhoods with fewer educational opportunities and more air pollution was linked to sleep. Future work should consider the role of policy changes and protective factors that may mitigate associations between neighborhood factors on sleep health.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 423-430"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144643863","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 : 2025-08-01DOI: 10.1016/j.sleh.2025.06.001
Lauren E. Barber PhD , Lauren E. McCullough PhD , Kierstin Faw MPH , Charlie Zhong PhD , Anita R. Peoples PhD , Clara Bodelon PhD , Dayna A. Johnson PhD , Lauren R. Teras PhD , Alpa V. Patel PhD
Introduction
Research on neighborhood socioeconomic conditions and sleep and circadian health shows inconsistent findings. Small sample sizes and few sleep measures may have limited prior studies. In a large cohort, we examined the association between neighborhood deprivation and sleep and circadian health.
Methods
The Cancer Prevention Study-3 is a prospective cohort of US adults enrolled in 2006-2013. The Neighborhood Deprivation Index (NDI) was derived using principal components analysis of census tract--level American Community Survey data and was linked to participants’ geocoded address at baseline. Participants (N = 180,379) self-reported their sleep duration, sleep midpoint, social jetlag, sleep quality, and chronotype on the 2015 or 2018 follow-up survey. Linear or logistic regression was used to estimate associations between NDI in quintiles and each outcome.
Results
Compared with the least deprived neighborhoods, living in the most deprived neighborhoods was associated with a higher odds of short (<7 hours) and long (>9 hours) sleep duration (short: odds ratio [OR] = 1.23, 95% confidence interval [CI] 1.17-1.30; long: OR = 1.08, 95% CI 1.04-1.13). Neighborhood deprivation was also associated with a 4.84-minute later sleep midpoint (beta = 4.84, 95% CI 2.77-6.91), high (>120 minutes) social jetlag (OR = 1.38, 95% CI 1.30-1.48), poor sleep quality (OR = 1.04, 95% CI 1.00-1.09), and having an evening chronotype (OR = 1.07, 95% CI 1.03-1.11).
Conclusion
In this large study, neighborhood deprivation was associated with poor sleep and circadian health, particularly short and long sleep duration and high social jetlag. The neighborhood environment may be a useful target to improve sleep and circadian health and influence downstream health outcomes.
对社区社会经济条件、睡眠和昼夜健康的研究显示了不一致的结果。小样本量和很少的睡眠测量可能限制了先前的研究。在一个大型队列中,我们研究了邻里剥夺与睡眠和昼夜健康之间的关系。方法:癌症预防研究-3是一项2006-2013年入组的美国成人前瞻性队列研究。邻里剥夺指数(NDI)是通过对人口普查区级美国社区调查数据的主成分分析得出的,并与参与者的基线地理编码地址相关联。在2015年或2018年的后续调查中,参与者(N = 180379)自我报告了他们的睡眠时间、睡眠中点、社交时差、睡眠质量和生物钟类型。使用线性或逻辑回归来估计五分位数NDI与每个结果之间的关联。结果:与最不贫困的社区相比,生活在最贫困社区的儿童睡眠时间较短(9小时)的几率更高(短:优势比[OR] = 1.23, 95%可信区间[CI] 1.17-1.30;长:OR = 1.08, 95% CI 1.04-1.13)。邻里剥夺还与睡眠中点延迟4.84分钟(β = 4.84, 95% CI 2.77-6.91)、高(bbb120分钟)的社交时差(OR = 1.38, 95% CI 1.30-1.48)、较差的睡眠质量(OR = 1.04, 95% CI 1.00-1.09)以及晚上的睡眠类型(OR = 1.07, 95% CI 1.03-1.11)有关。结论:在这项大型研究中,邻里剥夺与睡眠质量差和昼夜节律健康有关,特别是短睡眠时间和长睡眠时间以及高社交时差。邻里环境可能是改善睡眠和昼夜健康以及影响下游健康结果的有用目标。
{"title":"The impact of neighborhood deprivation on sleep and circadian health in a large US cohort","authors":"Lauren E. Barber PhD , Lauren E. McCullough PhD , Kierstin Faw MPH , Charlie Zhong PhD , Anita R. Peoples PhD , Clara Bodelon PhD , Dayna A. Johnson PhD , Lauren R. Teras PhD , Alpa V. Patel PhD","doi":"10.1016/j.sleh.2025.06.001","DOIUrl":"10.1016/j.sleh.2025.06.001","url":null,"abstract":"<div><h3>Introduction</h3><div>Research on neighborhood socioeconomic conditions and sleep and circadian health shows inconsistent findings. Small sample sizes and few sleep measures may have limited prior studies. In a large cohort, we examined the association between neighborhood deprivation and sleep and circadian health.</div></div><div><h3>Methods</h3><div>The Cancer Prevention Study-3 is a prospective cohort of US adults enrolled in 2006-2013. The Neighborhood Deprivation Index (NDI) was derived using principal components analysis of census tract--level American Community Survey data and was linked to participants’ geocoded address at baseline. Participants (N = 180,379) self-reported their sleep duration, sleep midpoint, social jetlag, sleep quality, and chronotype on the 2015 or 2018 follow-up survey. Linear or logistic regression was used to estimate associations between NDI in quintiles and each outcome.</div></div><div><h3>Results</h3><div>Compared with the least deprived neighborhoods, living in the most deprived neighborhoods was associated with a higher odds of short (<7 hours) and long (>9 hours) sleep duration (short: odds ratio [OR] = 1.23, 95% confidence interval [CI] 1.17-1.30; long: OR = 1.08, 95% CI 1.04-1.13). Neighborhood deprivation was also associated with a 4.84-minute later sleep midpoint (beta = 4.84, 95% CI 2.77-6.91), high (>120 minutes) social jetlag (OR = 1.38, 95% CI 1.30-1.48), poor sleep quality (OR = 1.04, 95% CI 1.00-1.09), and having an evening chronotype (OR = 1.07, 95% CI 1.03-1.11).</div></div><div><h3>Conclusion</h3><div>In this large study, neighborhood deprivation was associated with poor sleep and circadian health, particularly short and long sleep duration and high social jetlag. The neighborhood environment may be a useful target to improve sleep and circadian health and influence downstream health outcomes.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 486-494"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144668786","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}