Sleep Health最新文献

{"title":"ChatGPT's role in sleep health: Informative or misleading","authors":"Mila Yunita MPd, Palasara Brahmani Laras MPd, Fiki Prayogi MPd, Inas Afifah Zahra SE, SPd, SThI, MSi, Ilham Khairi Siregar Dr","doi":"10.1016/j.sleh.2025.02.008","DOIUrl":"10.1016/j.sleh.2025.02.008","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 254-255"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144043568","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":"Temporal changes in sleep parameters and body mass index after using a sleep-tracking app with gamification","authors":"Masao Iwagami MD, MPH, MSc, PhD ,&nbsp;Jaehoon Seol PhD ,&nbsp;Masashi Yanagisawa MD, PhD","doi":"10.1016/j.sleh.2025.03.001","DOIUrl":"10.1016/j.sleh.2025.03.001","url":null,"abstract":"<div><h3>Objectives</h3><div>We examined whether sleep parameters would improve with a sleep-tracking game app and whether the participants’ improvement was associated with changes in their body mass index.</div></div><div><h3>Methods</h3><div>We analyzed data from 2063 volunteer Japanese participants (mean age 38.3<!--> <!-->±<!--> <!-->10.7<!--> <!-->years, 82.1% female) who used both the Pokémon Sleep and Asken apps for ≥90<!--> <!-->days.</div></div><div><h3>Results</h3><div>During the 90<!--> <!-->days after starting the Pokémon Sleep app, on average, total sleep time increased by approximately 0.8 hour from 5.5 to 6.3 hours. Calculating the slopes for individuals, improvements were noted for total sleep time, sleep latency, percentage of wakefulness after sleep onset, and bedtime among 45.3%, 18.1%, 24.4%, and 21.3% of the participants, respectively. Body mass index tended to decrease faster in participants with improved total sleep time, sleep latency, and bedtime.</div></div><div><h3>Conclusions</h3><div>A sleep-tracking game app improved sleep parameters of some users, and this improvement was associated with a decrease in body mass index.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 275-278"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144041858","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 of a multidimensional polygenic sleep health score and a sleep lifestyle index with disease outcomes and their interaction in a clinical biobank","authors":"Valentina Paz MSc ,&nbsp;Hannah Wilcox BSc ,&nbsp;Matthew Goodman PhD ,&nbsp;Heming Wang PhD ,&nbsp;Victoria Garfield PhD ,&nbsp;Richa Saxena PhD ,&nbsp;Hassan S. Dashti PhD","doi":"10.1016/j.sleh.2025.02.009","DOIUrl":"10.1016/j.sleh.2025.02.009","url":null,"abstract":"<div><h3>Objectives</h3><div>Sleep is a complex behavior regulated by genetic and environmental factors impacting disease outcomes. However, the effect of multidimensional sleep encompassing several sleep dimensions on common diseases, specifically mental health disorders, has yet to be fully elucidated. Using the Mass General Brigham Biobank, we examined the association of multidimensional sleep with disease outcomes and investigated whether sleep behaviors modulate genetic predisposition to unfavorable sleep on mental health diseases.</div></div><div><h3>Methods</h3><div>We generated a Polygenic Sleep Health Score using previously identified single nucleotide polymorphisms and constructed a Sleep Lifestyle Index based on self-reported questions and electronic health records; tested their association; performed phenome-wide association analyses between these indexes and clinical phenotypes; and analyzed their interaction on prevalent mental health diseases. A total of 15,884 participants were included in the analysis (mean age 54.4; 58.6% female).</div></div><div><h3>Results</h3><div>The Polygenic Sleep Health Score was associated with the Sleep Lifestyle Index (β<!--> <!-->=<!--> <!-->0.050, 95% CI<!--> <!-->=<!--> <!-->0.032, 0.068) and with 114 disease outcomes spanning 12 disease groups, including obesity, sleep, and substance use disease outcomes (p<!--> <!-->&lt;<!--> <!-->3.3<!--> <!-->×<!--> <!-->10⁻⁵). The Sleep Lifestyle Index was associated with 458 disease outcomes spanning 17 groups, including sleep, mood, and anxiety disease outcomes (p<!--> <!-->&lt;<!--> <!-->5.1<!--> <!-->×<!--> <!-->10⁻⁵). A total of 108 disease outcomes were associated with both indexes, spanning 12 disease groups. No interactions were found between the indexes on mental health diseases.</div></div><div><h3>Conclusions</h3><div>Favorable sleep behaviors and genetic predisposition to healthy sleep may independently protect against disease, underscoring the impact of multidimensional sleep on population health and the need for prevention strategies focused on healthy sleep habits.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 354-363"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042636","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":"An ecological analysis of sleep health across five African-origin populations spanning the epidemiologic transition","authors":"Candice Choo-Kang MPH ,&nbsp;Stephanie J. Crowley PhD ,&nbsp;Sirimon Reutrakul MD ,&nbsp;Dale E. Rae PhD ,&nbsp;Estelle V. Lambert PhD ,&nbsp;Nandipha Sinyanya ,&nbsp;Pascal Bovet MD ,&nbsp;Bharathi Viswanathan RN, MBA ,&nbsp;Kweku Bedu-Addo PhD ,&nbsp;Jacob Plange-Rhule MD ,&nbsp;Prince Oti-Boateng BA ,&nbsp;Oscar Akunor Dei BS ,&nbsp;Kingsley Apusiga MSc ,&nbsp;Terrence E. Forrester MBBS, DM, PhD ,&nbsp;Marie Williams MD ,&nbsp;Michaela Deglon MSc ,&nbsp;Jack A. Gilbert PhD ,&nbsp;Brian T. Layden MD, PhD ,&nbsp;Cara Joyce PhD ,&nbsp;Amy Luke PhD ,&nbsp;Lara R. Dugas PhD, MPH","doi":"10.1016/j.sleh.2025.02.002","DOIUrl":"10.1016/j.sleh.2025.02.002","url":null,"abstract":"<div><h3>Background</h3><div>Sleep health is emerging as a public health priority due to its strong associations with several key domains of health. However, most of the existing literature are from studies located in high income settings and may not be representative of low-middle income settings. Leveraging the Modeling the Epidemiologic Transition Study, a study of cardiometabolic disease risk in five diverse African-origin populations, we explored differences in objectively measured sleep behavior across cohorts from Ghana, South Africa, Jamaica, Seychelles, and the United States.</div></div><div><h3>Methods</h3><div>Data from 809 participants (35-55 years old, 63% women) from the 5 Modeling the Epidemiologic Transition Study research sites were included. Objectively-measured sleep, using actigraphy, was scored according to the criteria of Patel and colleagues. For those with at least 5 nights of valid data, ecological mean sleep onset time, wake-up time, sleep duration, wake after sleep onset, and sleep efficiency were examined.</div></div><div><h3>Findings</h3><div>Adjusted models indicate that sleep onset was earlier in all sites when compared to US (<em>p</em> <!-->&lt;<!--> <!-->.005). Sleep efficiency varied by locations, being lower in participants from Ghana, South Africa, and Jamaica when compared to United States (Ghana β: −<!--> <!-->3.7, South Africa: −<!--> <!-->5.8, Jamaica: −<!--> <!-->1.3, <em>p</em> <!-->&lt;<!--> <!-->.05 for all) and higher in Seychelles when compared to United States (Seychelles β: 1.6; <em>p</em> <!-->=<!--> <!-->.02). Women presented with shorter sleep duration but with higher sleep efficiency.</div></div><div><h3>Interpretation</h3><div>Sleep duration, timing (wake time, midsleep time and sleep onset), and efficiency differ by country and sex, likely driven by socio-economic settings. Understanding sleep patterns in different contexts is needed to make informed and culturally appropriate health recommendations.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 344-353"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781541","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":"Longitudinal association between social jetlag, adiposity, and body composition: Sex differences from adolescence to young adulthood","authors":"Sussanne Reyes PhD ,&nbsp;Cecilia Algarín MD ,&nbsp;Estela Blanco PhD ,&nbsp;Patricio Peirano MD","doi":"10.1016/j.sleh.2025.02.003","DOIUrl":"10.1016/j.sleh.2025.02.003","url":null,"abstract":"<div><h3>Objective</h3><div>Social jetlag (SJL) refers to the misalignment between the internal biological and social timing and has been associated with obesity and metabolic disorders. The primary aim of this study was to assess the relationship of SJL, adiposity, and body composition from adolescence to young adulthood. We propose that this association differs according to sex.</div></div><div><h3>Methods</h3><div>A total of 525 adolescents who completed all the procedures in adolescence and adulthood (SJL, anthropometric, and body composition measures) were included in this longitudinal study. Changes in adiposity and body composition (BMI, waist and hip circumferences, waist:hip ratio, waist:height ratio, and fat mass and lean mass percentages) from adolescence to young adulthood were examined according to SJL in adolescence.</div></div><div><h3>Results</h3><div>In females, SJL was associated with BMI z-score (β<!--> <!-->=<!--> <!-->0.13, <em>p</em> <!-->&lt;<!--> <!-->.01), hip circumference (β<!--> <!-->=<!--> <!-->0.97, <em>p</em> <!-->&lt;<!--> <!-->.05), and fat mass (β<!--> <!-->=<!--> <!-->0.38, <em>p</em> <!-->&lt;<!--> <!-->.05) and lean mass (β<!--> <!-->=<!--> <!-->−<!--> <!-->0.36, <em>p</em> <!-->&lt;<!--> <!-->.05) percentages in adolescence. Longitudinal analysis revealed that SJL in adolescence was related to fat mass (β<!--> <!-->=<!--> <!-->0.59, <em>p</em> <!-->&lt;<!--> <!-->.05) and lean mass percentage (β<!--> <!-->=<!--> <!-->−<!--> <!-->0.57, <em>p</em> <!-->&lt;<!--> <!-->.05), waist:height ratio (β<!--> <!-->=<!--> <!-->0.59, <em>p</em> <!-->&lt;<!--> <!-->.05), and waist (β<!--> <!-->=<!--> <!-->0.98, <em>p</em> <!-->&lt;<!--> <!-->.01) and hip (β<!--> <!-->=<!--> <!-->0.76, <em>p</em> <!-->&lt;<!--> <!-->.05) circumferences in adult women. No significant results were found for males in the cross-sectional and longitudinal analyses.</div></div><div><h3>Conclusion</h3><div>Our findings suggest that SJL is associated with adverse changes in adiposity and body composition from adolescence to young adulthood in females.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 301-309"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711651","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":"Sleep health profiles across six population-based cohorts and recommendations for validating clustering models","authors":"Sanne J.W. Hoepel MSc ,&nbsp;Nina Oryshkewych MSc ,&nbsp;Lisa L. Barnes PhD ,&nbsp;Meryl A. Butters PhD ,&nbsp;Daniel J. Buysse MD ,&nbsp;Kristine E. Ensrud MD ,&nbsp;Andrew Lim MD ,&nbsp;Susan Redline MD ,&nbsp;Katie L. Stone PhD ,&nbsp;Kristine Yaffe MD ,&nbsp;Lan Yu PhD ,&nbsp;Annemarie I. Luik PhD ,&nbsp;Meredith L. Wallace PhD","doi":"10.1016/j.sleh.2025.01.012","DOIUrl":"10.1016/j.sleh.2025.01.012","url":null,"abstract":"<div><h3>Objectives</h3><div>Model-based clustering is increasingly used to identify multidimensional sleep health profiles. However, generalizability is rarely assessed because of complexities of data sharing and harmonization. Our goal was to evaluate the generalizability of multidimensional sleep health profiles across older adult populations in Western countries and assess whether they predict depressive symptoms over time.</div></div><div><h3>Methods</h3><div>We harmonized five self-reported sleep health indicators (satisfaction, alertness, timing, efficiency, and duration) across six population-based cohorts from the United States and Netherlands (N<!--> <!-->=<!--> <!-->614 - 3209 each) and performed identical latent class analysis in each cohort. Novel multivariable similarity metrics, patterns of sleep health and cluster sizes were used to match clusters and assess generalizability across cohorts. We compared cluster characteristics cross-sectionally and used linear mixed-effects modeling to relate sleep health clusters to depressive symptoms over time.</div></div><div><h3>Results</h3><div>“Average sleep health” (moderate duration; high quality/efficiency; 42.7%-76.7% of sample) and “poor sleep health” (short duration; low quality/efficiency; high daytime sleepiness; 9.4%-20.4% of sample) clusters were generalizable across cohorts. In four cohorts “inefficient sleep” clusters were identified and in two cohorts “long, efficient sleep” clusters were identified. At 3<!--> <!-->years, those in the poor sleep cluster had depression symptoms that were 1.40-2.79 times greater than in the average sleep cluster, across all cohorts.</div></div><div><h3>Conclusions</h3><div>We identified two profiles – average sleep health and poor sleep health – that were generalizable across six samples of older adults and predicted depressive symptoms, underscoring the importance of the sleep health paradigm.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 371-381"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143674763","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":"A translation and validation study of the traditional Chinese version of RU-SATED scale in Chinese Hong Kong residents","authors":"Jia-Yin Ruan PhD ,&nbsp;Wing-Fai Yeung PhD ,&nbsp;Branda Yee-Man Yu PhD ,&nbsp;Ka-Fai Chung MRCPsych ,&nbsp;Fiona Yan-Yee Ho PhD ,&nbsp;Heidi Ka-ying Lo MRCPsych ,&nbsp;Jingjing Su PhD","doi":"10.1016/j.sleh.2025.03.010","DOIUrl":"10.1016/j.sleh.2025.03.010","url":null,"abstract":"<div><h3>Objective</h3><div>The Regularity, Satisfaction, Alertness, Timing, Efficiency, and Duration (RU-SATED) version 4.0 is a 6-item tool designed to evaluate sleep health. This study examined the psychometric properties of the traditional Chinese version of RU-SATED (RU-SATED-TC) scale.</div></div><div><h3>Methods</h3><div>A cross-sectional survey was conducted on December 9, 2023 for 4<!--> <!-->weeks. Participants were recruited via a Facebook page to complete an online questionnaire assessing sleep, mental, and physical health. The RU-SATED-TC uses a 5-point Likert scale, with a total score range from 0-24. The psychometric properties of the RU-SATED-TC, including internal consistency, concurrent validity, 1-week test-retest reliability, and factor analysis, were evaluated.</div></div><div><h3>Results</h3><div>A total of 1043 participants (67.3% female, 55.9% aged 18-39) completed the survey. The average RU-SATED-TC scale score was 12.24 (SD = 3.53). Confirmatory factor analyses showed an acceptable model fit (CFI = 0.94, TLI = 0.89, RMSEA = 0.09, and SRMR = 0.04), supporting a two-factor structure of “consistency and effectiveness” and “timing.” “Efficiency” did not load on any factors. The Cronbach’s alpha was 0.608, with corrected item-total correlations ranged from 0.099-0.530. The “timing” item showed the weakest item-total and concurrent correlations with other sleep outcome measures. The 1-week test-retest reliability was good to excellent (ICCs ranging from 0.605-0.843), except for item 4 (efficiency), which had fair reliability (ICC = 0.464).</div></div><div><h3>Conclusion</h3><div>The RU-SATED-TC scale appears to be a reliable valid tool for measuring sleep health in Chinese Hong Kong residents. Nevertheless, future research may be needed to refine the “timing” item.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 390-398"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144022996","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":"Examining school climate and sleep in adolescents with and without ADHD","authors":"C. Danielle Green PhD ,&nbsp;Elizabeth S.M. Chan PhD ,&nbsp;Joshua M. Langberg PhD ,&nbsp;Stephen P. Becker PhD","doi":"10.1016/j.sleh.2025.03.008","DOIUrl":"10.1016/j.sleh.2025.03.008","url":null,"abstract":"<div><h3>Objectives</h3><div>Adolescents with attention-deficit/hyperactivity disorder are at high risk for sleep difficulties, though sleep problems are widely recognized as a public health concern for adolescents broadly. School climate represents a potentially critical but understudied influence on sleep difficulties, given growing evidence supporting its association with health outcomes. The present study is the first to utilize a multimethod, multi-informant approach, including adolescent-report, parent-report, and actigraphy, to examine associations between school climate and different aspects of sleep functioning among adolescents with and without attention-deficit/hyperactivity disorder.</div></div><div><h3>Methods</h3><div>Participants included a well-characterized sample of adolescents (45.1% female, 82.6% White) with attention-deficit/hyperactivity disorder (<em>n</em> = 151) and without attention-deficit/hyperactivity disorder (<em>n</em> = 137) between 13 and 15 years old (<em>M</em> = 14.09).</div></div><div><h3>Results</h3><div>Multigroup path analyses controlling for demographic characteristics, internalizing symptoms, and medication use indicated better-perceived school climate was associated with less adolescent-reported daytime sleepiness and fewer sleep/wake problems, regardless of attention-deficit/hyperactivity disorder status, though stronger associations were found in the non-attention-deficit/hyperactivity disorder group. In contrast, for both adolescents with and without attention-deficit/hyperactivity disorder, school climate was not significantly associated with adolescent- or actigraphy-measured sleep duration, actigraphy-assessed sleep efficiency, or parent-reported sleep quality.</div></div><div><h3>Conclusions</h3><div>Collectively, findings indicate school climate is associated with specific vs. broad-based aspects of sleep, and that associations may differ based on how sleep is assessed. Findings also contribute to an emerging evidence base supporting the importance of school climate to adolescent sleep quality.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 310-316"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144032540","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":"Narcolepsy in naturalism: Joan of Arc by Jules Bastien-Lepage","authors":"Hailey Talbert,&nbsp;Meir Kryger MD, FRCPC","doi":"10.1016/j.sleh.2024.12.008","DOIUrl":"10.1016/j.sleh.2024.12.008","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 249-251"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142927884","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":"Parental knowledge and beliefs about sleep health for children with overweight and obesity","authors":"Hsiu-Jung Cheng RN, MSN ,&nbsp;Yi-Ching Tung PhD, MD ,&nbsp;Chuen-Min Huang PhD ,&nbsp;Chien-Chang Lee PhD, MD ,&nbsp;Shu-Yu Kuo PhD, RN ,&nbsp;Teresa M. Ward PhD, RN, FAAN ,&nbsp;Shao-Yu Tsai PhD, RN, FAAN","doi":"10.1016/j.sleh.2025.01.011","DOIUrl":"10.1016/j.sleh.2025.01.011","url":null,"abstract":"<div><h3>Objective</h3><div>To examine parental knowledge and beliefs about sleep health and their relation to sleep practices in a community sample of school-age children with overweight and obesity.</div></div><div><h3>Methods</h3><div>Sleep in 246 overweight or obese children was assessed objectively using actigraphy. Parents completed a questionnaire about their knowledge and beliefs about sleep health and the Children’s Sleep Habits Questionnaire (CSHQ). Multivariate linear regression models were performed to predict CSHQ sleep disturbance scores and actigraphy-derived sleep characteristics in children.</div></div><div><h3>Results</h3><div>On average, parents answered 6.19 of the 10 sleep health questions correctly. Questions concerning child sleep needs and bedtime routines had the most incorrect responses ranging from 45.9% to 84.5%. Although up to 244 (99.2%) children obtained less than the recommended 9 hours of daily sleep and 208 (84.6%) children had clinically significant CSHQ sleep disturbance scores, only 12.6% of parents believed that their child slept too little and only 9.3% of parents believed that their child had inadequate sleep habits. Increased levels of parental sleep knowledge were associated with earlier sleep onset, and stronger parental beliefs about children’s sleep health predicted earlier sleep onset and offset, longer sleep duration, and lower CSHQ sleep disturbance scores in children (all <em>p</em> <!-->&lt;<!--> <!-->.05).</div></div><div><h3>Conclusions</h3><div>Parents’ knowledge gaps and misconceptions about sleep health are associated with poorer and shorter sleep duration in children with overweight and obesity. Healthcare professionals should provide parents with sleep-related education and address parents’ inaccurate beliefs about sleep health, particularly regarding consistent bedtime routine and recommended sleep duration for children.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 293-300"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665159","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}