Sleep Health最新文献

{"title":"A socioecological model of neighborhood disorder, religious attendance, and sleep efficiency","authors":"Terrence D. Hill PhD ,&nbsp;Qiliang He PhD ,&nbsp;Jennifer Zhang MS ,&nbsp;Laura Upenieks PhD ,&nbsp;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}

{"title":"Association between household sleep environment and sleep health characteristics in middle-aged adults: The CARDIA sleep study","authors":"Swaty Chapagai PhD ,&nbsp;Thanh-Huyen Vu MD, PhD ,&nbsp;Shaina J. Alexandria PhD ,&nbsp;Kathryn J. Reid PhD ,&nbsp;Sabra Abbott MD, PhD ,&nbsp;Katharine Harrington MPH ,&nbsp;S. Justin Thomas PhD ,&nbsp;Cora E. Lewis MD ,&nbsp;Pamela J. Schreiner PhD ,&nbsp;Mercedes R. Carnethon PhD ,&nbsp;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}

{"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 ,&nbsp;Alysa N. Miller PhD, MPH ,&nbsp;Spencer A. Nielson MS ,&nbsp;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}

{"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 ,&nbsp;Joseph Braimah PhD ,&nbsp;Daniel Amoak PhD ,&nbsp;Evans Batung MA ,&nbsp;Roger Antabe PhD ,&nbsp;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}

{"title":"Evaluating associations between neighborhood resources and sleep health among urban-dwelling Black adolescents","authors":"Amy M. Bohnert PhD ,&nbsp;Maureen T.S. Burns MA ,&nbsp;Julianna P. Adornetti BA ,&nbsp;Gregory J. Matthews PhD ,&nbsp;Patrick L. Tu ,&nbsp;Michelle A. Chen PhD ,&nbsp;Hee Moon BA ,&nbsp;Jungwon Kim BA ,&nbsp;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}

{"title":"The impact of neighborhood deprivation on sleep and circadian health in a large US cohort","authors":"Lauren E. Barber PhD ,&nbsp;Lauren E. McCullough PhD ,&nbsp;Kierstin Faw MPH ,&nbsp;Charlie Zhong PhD ,&nbsp;Anita R. Peoples PhD ,&nbsp;Clara Bodelon PhD ,&nbsp;Dayna A. Johnson PhD ,&nbsp;Lauren R. Teras PhD ,&nbsp;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 (&lt;7 hours) and long (&gt;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 (&gt;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}

{"title":"NSF Sleep Health Times","authors":"","doi":"10.1016/S2352-7218(25)00157-3","DOIUrl":"10.1016/S2352-7218(25)00157-3","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Page 547"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144886375","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}

{"title":"Associations between neighborhood factors and insomnia and their spatial clustering in Philadelphia, Pennsylvania","authors":"Foster Osei Baah MS-PhD ,&nbsp;Augustine Cassis Obeng Boateng MPH ,&nbsp;Janeese A. Brownlow PhD ,&nbsp;Christine J. So PhD ,&nbsp;Katherine E. Miller PhD ,&nbsp;Philip Gehrman PhD ,&nbsp;Barbara Riegel PhD","doi":"10.1016/j.sleh.2024.09.003","DOIUrl":"10.1016/j.sleh.2024.09.003","url":null,"abstract":"<div><h3>Background</h3><div><span>Neighborhood-level adverse social determinants may be a </span>risk factor<span> for sleep health disparities. We examined the associations between neighborhood factors and insomnia and explored their spatial clustering in the city of Philadelphia, Pennsylvania.</span></div></div><div><h3>Methods</h3><div>We conducted a cross-sectional analysis of data from Philadelphia residents who participated in online screening for insomnia-related research. Participants self-reported sex, age, body mass index<span>, anxiety, post-traumatic stress disorder, depression, and insomnia symptoms. The sample was stratified as “No Insomnia” (≤7) and “Insomnia” (&gt;7) based on the Insomnia Severity Index (range: 0-28). Neighborhood and participant data were merged using geospatial techniques. Multiple regression models and geospatial analysis were used to identify neighborhood variables that are associated with insomnia and their spatial distribution.</span></div></div><div><h3>Results</h3><div>The sample (N = 350) was predominantly female (53%), middle-aged (40.8 ± 13.8), overweight (body mass index<!--> <!-->=<!--> <!-->26.1 ± 5.54), and 53.7% had insomnia. The insomnia group had significantly higher depression scores (14.6 ± 5.5), a large percentage had anxiety (64.4%) and post-traumatic stress disorder symptoms (31.9%), and largely resided in high crime (<em>p</em> &lt; .001) and highly deprived neighborhoods (<em>p</em> = .034). Within the insomnia group, a 1-point increase in the number of spiritual centers in the neighborhood was associated with lower insomnia symptoms (b<!--> <!-->=<!--> <!-->−<!--> <!-->1.02, <em>p</em> = .002), while a 1-point increase in depression scores (b<!--> <!-->=<!--> <!-->0.44, <em>p</em> &lt; .001) and residence in a highly deprived neighborhood (b<!--> <!-->=<!--> <!-->1.49, <em>p</em> = .021) was associated with greater insomnia.</div></div><div><h3>Conclusion</h3><div>Disparities exist in the neighborhood determinants of insomnia and their spatial distribution in Philadelphia. Interventions targeting the spatial distribution of adverse social determinants may improve insomnia disparities.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 458-468"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142478083","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}

{"title":"Changes in actigraphy-assessed sleep from childhood to adolescence: The role of neighborhood socioeconomic disadvantage","authors":"Thomas E. Fuller-Rowell PhD ,&nbsp;Megan M. Zeringue PhD ,&nbsp;Ekjyot K. Saini PhD ,&nbsp;Samia Sultana MS ,&nbsp;Mona El-Sheikh PhD","doi":"10.1016/j.sleh.2025.04.002","DOIUrl":"10.1016/j.sleh.2025.04.002","url":null,"abstract":"<div><h3>Objectives</h3><div>Few studies have examined longitudinal effects of neighborhood socioeconomic disadvantage on objectively assessed sleep outcomes among youth. This study examined neighborhood disadvantage as a predictor of changes in actigraphy-assessed sleep over a 6-8-year period from childhood to adolescence. Racial/ethnic differences in effects were also considered.</div></div><div><h3>Methods</h3><div>Participants were 339 children residing in small towns and semirural contexts within the Southeastern region of the United States (<em>M</em>_{age T1} = 10.3<!--> <!-->years, <em>SD</em> = 0.8; 46% female; 36% Black, 64% White; <em>M</em>_{age T2} = 17.6<!--> <!-->years, <em>SD</em> = 0.8). Sleep duration (from onset to wake time) and quality/continuity (efficiency and long wake episodes) were assessed using wrist actigraphy. Neighborhood disadvantage was assessed from established census tract measures geocoded to childhood residential addresses.</div></div><div><h3>Results</h3><div>Sleep duration decreased between childhood and adolescence and sleep quality/continuity increased. Neighborhood disadvantage was associated with decreases in sleep quality/continuity from childhood to adolescence, but was not associated with sleep duration. Neighborhood effects remained significant after adjusting for family socioeconomic status. Interaction effects between neighborhood disadvantage and race indicated that the magnitude of neighborhood effects on changes in sleep quality/continuity were larger for Black youth than for White youth.</div></div><div><h3>Conclusions</h3><div>This study is the first to show that objectively assessed neighborhood disadvantage is associated with longitudinal changes in actigraphy-assessed sleep quality from childhood to adolescence, and that this association was larger for Black youth than for White youth. The results suggest that neighborhood factors may be key to addressing widening racial disparities in sleep across this developmental period.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 431-438"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112135","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}

{"title":"The association between neighborhood social cohesion and poor sleep health in Latinxs: Exploration of moderation by nativity status and English language proficiency","authors":"Sarah Valentina Diaz MSW ,&nbsp;Carmela Alcántara PhD","doi":"10.1016/j.sleh.2025.05.004","DOIUrl":"10.1016/j.sleh.2025.05.004","url":null,"abstract":"<div><h3>Objectives</h3><div>Neighborhood social cohesion has been linked to sleep health in the United States, but the association remains understudied among Latinxs. There is evidence that Latinxs may experience neighborhood social cohesion differentially based on nativity status and English language proficiency. We investigated the moderating role of nativity status and English language proficiency on the relationship between neighborhood social cohesion and two sleep outcomes: insomnia symptoms and sleep quality.</div></div><div><h3>Methods</h3><div>Using cross-sectional data from 201 healthy Latinx adults from the Latino Sleep and Health Study, two sets of regression models were run. We regressed neighborhood social cohesion on insomnia (Insomnia Severity Index) and sleep quality (The Pittsburgh Sleep Quality Index). Interaction terms—nativity status x neighborhood social cohesion and English language proficiency x neighborhood social cohesion—were added with sociodemographic covariates in two separate sets of models.</div></div><div><h3>Results</h3><div>Participants were 64.68% female with a Mean age of 37.89 (SD = 14.01), and 33.83% completed less than a bachelor’s degree. In the minimally adjusted model for sleep quality, the interaction term (neighborhood social cohesion x nativity status) was statistically significant (<em>p</em> <!-->=<!--> <!-->.04). Among US-born, in the fully adjusted model, neighborhood social cohesion was negatively statistically significantly associated poor sleep quality (B = −0.09, 95%CI = −0.15, −0.02; <em>p</em> <!-->&lt;<!--> <!-->.01). Neighborhood social cohesion was not statistically significantly associated with insomnia symptoms. English language proficiency had no statistically significant interaction effect in any models.</div></div><div><h3>Conclusions</h3><div>The association between neighborhood social cohesion and sleep health differs by nativity status, but not by English language proficiency. These results suggest that neighborhood social cohesion may facilitate better sleep differently based on the acculturation marker. Future research should explore within-group differences in protective effects of neighborhood social cohesion on sleep health.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 4","pages":"Pages 449-457"},"PeriodicalIF":3.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144486643","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}