Sleep Health最新文献

{"title":"Longitudinal assessment of objective sleep and power output in Division I collegiate baseball athletes.","authors":"Jeremy A Bigalke, Katherine M Lee, Jennifer R Bigalke, Michael K Scullin, Andrew R Gallucci, Jason R Carter","doi":"10.1016/j.sleh.2024.12.009","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.12.009","url":null,"abstract":"<p><strong>Objectives: </strong>Many college athletes experience insufficient sleep due to athletic, academic, and social constraints. While prior studies have observed cross-sectional associations between poor sleep and performance in athletes, few studies have longitudinally assessed performance variations in relation to sleep measures. We investigated whether objectively measured sleep assessments were associated with peak power output improvements during a fall season of Division I collegiate baseball players.</p><p><strong>Methods: </strong>Peak power output was assessed weekly for 12weeks in 24 male collegiate baseball players (age: 21±1years). Objective sleep (Oura ring) was assessed over the final 6weeks to determine total sleep time, sleep efficiency, and other assessments of sleep quality, including the proportion of nights in which athletes maintained total sleep time ≥7 hours or sleep efficiency ≥90%. Bivariate correlations between sleep measures and peak power output were performed.</p><p><strong>Results: </strong>Greater improvements in peak power output throughout the fall season were associated with higher total sleep time (r=0.429, p=.036), higher sleep efficiency (r=0.411, p=.046), and fewer nighttime awakenings (r=-0.495, p=.014). Furthermore, the rate of change in peak power output was associated with the proportion of nights in which athletes maintained total sleep time ≥7 hours (r=0.557, p=.005) or sleep efficiency ≥90% (r=0.509, p=.011).</p><p><strong>Conclusions: </strong>These findings support an association between adequate sleep duration, quality, and consistency in training season performance trajectories in college athletes.</p><p><strong>Data availability: </strong>Data will be made available upon reasonable request by the corresponding author.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143075972","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 epidemiology and associations with menstrual health, mental health, and educational performance among in-school female adolescents in Uganda: A longitudinal study.","authors":"Beatrice Nanyonga, Katherine A Thomas, Titus Ssesanga, Apophia Kaihangwe, Kate A Nelson, Denis Ssenyondwa, Noeline Nassimbwa, Jonathan Reuben Enomut, Aggrey Tumuhimbise, Prossy Namirembe, Ratifah Batuusa, Nambusi Kyegombe, Fiona C Baker, Helen A Weiss","doi":"10.1016/j.sleh.2024.12.007","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.12.007","url":null,"abstract":"<p><strong>Objectives: </strong>Few studies have assessed sleep among African adolescents. We aim to understand factors associated with subjective sleep quality among female Ugandan adolescents and the association of poor sleep quality with subsequent menstrual- and mental health, and educational performance.</p><p><strong>Methods: </strong>We analyzed data from a cluster-randomized controlled trial that evaluated a menstrual health intervention in 60 Ugandan secondary schools. Data were collected through cross-sectional surveys at baseline (March-June 2022) and endline (July-August 2023), and prospective daily diaries (April-August 2023). We used logistic regression to analyze associations with poor sleep at baseline, and linear regression to analyze associations of poor sleep with subsequent menstrual and mental health, and education performance, adjusting for clustering.</p><p><strong>Results: </strong>Of 3841 female participants (mean age=15.6years), 580 (15.1%) reported poor sleep quality and 829 (21.6%) reported feeling tired at baseline. Poor sleep was associated with socio-economic factors including smaller household size, lower socioeconomic status, and fewer meals consumed the previous day. There was strong evidence that poor sleep at baseline was associated with multiple dimensions of poor menstrual health including menstrual pain (adjusted odds ratio=1.74, 95%CI 1.29-2.33), more unmet menstrual practice needs (adjusted odds ratio=2.68, 95%CI 1.99-3.60), and with mental health problems (adjusted odds ratio=2.40, 95%CI 1.80-3.19). Results were similar for baseline tiredness. Prospectively reported poor sleep quality was associated with subsequent poor menstrual and mental health, and subsequent poor educational performance.</p><p><strong>Conclusions: </strong>Poor sleep is prevalent among in-school female Ugandan adolescents and is associated with subsequent poorer menstrual health, mental health, and educational performance. Improving sleep in this population could benefit menstrual health, mental health and education outcomes.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143075989","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 community-engaged qualitative study of factors affecting sleep among Hispanic/Latinos with short sleep duration.","authors":"Sofia Vallejo-Riveros, Maria Jose Velasco-Burgos, Laura E C Flores Hernandez, Ricardo Quintana, Jason Wiese, Ana Sanchez-Birkhead, Jennifer Duffecy, Kelly G Baron","doi":"10.1016/j.sleh.2024.12.002","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.12.002","url":null,"abstract":"<p><strong>Background: </strong>Despite having high prevalence of short sleep duration, poor sleep quality, and sleep disorders in adult Hispanics living in the US, there is limited understanding of the underlying barriers to sleep and effective interventions in these groups. This study aimed to increase understanding of sleep duration and attitudes toward sleep interventions among Hispanic adults.</p><p><strong>Methods: </strong>We conducted 5 online focus group discussions with male and female participants aged 18-65 recruited from the Hispanic community who reported sleeping <7 hours per night. Interviewers utilized a semistructured interview guide to assess attitudes and beliefs about sleep and sleep interventions. Focus groups were conducted in Spanish, recorded, transcribed, and coded to elicit common themes.</p><p><strong>Results: </strong>Focus groups included 31 participants (19=women) from 12 Hispanic nationalities. Coders identified three main topics: (1) Sleep perceptions, (2) External and internal factors that affect sleep, and (3) Feedback about sleep interventions. Participants discussed the importance of sleep and factors related to stress, family, environment, and acculturation. Sleep interventions were viewed as desirable, and the group discussed a variety of topics of interest. The use of consumer sleep technology was considered a favorable intervention despite few participants having experience with consumer sleep-tracking devices.</p><p><strong>Conclusion: </strong>Results demonstrated that participants were aware of the importance of sleep and sleep duration recommendations. The discussion identified unique issues affecting sleep health in Hispanics as well as enthusiasm for sleep interventions, including interventions using consumer sleep trackers.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143042464","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":"Perceived financial hardship and sleep in an adult population-based cohort: The mediating role of psychosocial and lifestyle-related factors.","authors":"Ambra Chessa, Stephanie Schrempft, Viviane Richard, Hélène Baysson, Nick Pullen, María-Eugenia Zaballa, Elsa Lorthe, Mayssam Nehme, Idris Guessous, Silvia Stringhini","doi":"10.1016/j.sleh.2024.12.006","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.12.006","url":null,"abstract":"<p><strong>Background: </strong>Social inequalities in sleep have been reported, but there is less research on the mechanisms underlying this association. This study investigates the relationship between financial hardship and sleep within the general adult population, focusing on the mediating effects of psychosocial and lifestyle-related factors.</p><p><strong>Methods: </strong>We used data from the Specchio cohort, a population-based study in Geneva, Switzerland, initiated in December 2020. Perceived financial hardship and sleep outcomes (insomnia, sleep quality, and sleep duration) were assessed by questionnaire in 2020 to 2021. Counterfactual mediation analysis was conducted to examine the extent to which perceived financial hardship impacts sleep through psychosocial (psychological distress and loneliness) and lifestyle-related (weight, smoking, and physical inactivity) pathways. Models were adjusted for age, sex, education, living alone, and chronic disease.</p><p><strong>Results: </strong>Among 4388 participants, those experiencing financial hardship had a greater risk of insomnia (odds ratio: 2.11; 95% confidence interval: 1.70-2.61), poor sleep quality (odds ratio: 1.69; 95%confidence interval: 1.41-2.02), and not meeting sleep duration guidelines (odds ratio: 1.40; 95% confidence interval: 1.18-1.66) compared to those without financial difficulties. Psychosocial factors explained 40% of the relationship of financial hardship with insomnia, 35% of the relationship with poor sleep quality, and 10% of the association with suboptimal sleep duration. The contribution of lifestyle-related factors was 8%, 12%, and 17%, respectively.</p><p><strong>Conclusion: </strong>Perceived financial hardship is a significant predictor of poor sleep, and this association is mediated by psychosocial and, to a lesser extent, lifestyle-related factors. These findings highlight the need for integrative approaches addressing social inequalities in sleep.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143029869","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":"Depressive symptoms among middle-aged and older adults in China: The interaction of physical activity and sleep duration.","authors":"Jingya Dong, Jing Huang, Jeanine M Parisi, Zhiqing E Zhou, Mengchi Li, Russell Calderon, Junxin Li","doi":"10.1016/j.sleh.2024.12.004","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.12.004","url":null,"abstract":"<p><strong>Background: </strong>Previous research on the interaction of physical activity and sleep on depressive symptoms was mostly cross-sectional or conducted with children or young adults. This study examines the main and interactive associations of physical activity and sleep duration with depressive symptoms over a 3-year period among middle-aged and older Chinese adults.</p><p><strong>Methods: </strong>Data from 4269 Chinese adults aged 45 or older from the China Health and Retirement Longitudinal Study (CHARLS) were used. Physical activity was categorized as inadequate (<600 MET), adequate (600-8000 MET), and extremely high (>8000 MET). Sleep was classified as inadequate (<6 hours), adequate (6-9 hours), and excessive (>9 hours). The Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depressive symptoms.</p><p><strong>Results: </strong>Inadequate sleep was linked to greater increases in depressive symptoms over 3years. A significant interaction between baseline physical activity and sleep duration in predicting depressive symptoms at the 3-year follow-up showed that inadequate sleep, when combined with either inadequate or extremely high physical activity, was associated with higher depressive symptoms at the 3-year follow-up. In middle-aged subgroups, for people with either inadequate physical activity or an extremely high level of physical activity, inadequate sleep was associated with higher CES-D score compared to adequate sleep; for older adults, only inadequate sleep was associated with a higher follow-up CES-D score.</p><p><strong>Conclusion: </strong>Physical activity and sleep interactively impacted depressive symptoms, suggesting future personalized interventions that simultaneously target physical activity and sleep. Adequate sleep was associated with lower levels of future depressive symptoms in people with inadequate or extremely high physical activity.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143025372","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 effects of experimental sleep disruption on daytime performance among children with asthma living in urban environments.","authors":"Katlyn Garr, Mary A Carskadon, Sheryl J Kopel, Shira I Dunsiger, Anna Cohenuram, Caroline Gredvig-Ardito, Daphne Koinis-Mitchell","doi":"10.1016/j.sleh.2024.12.003","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.12.003","url":null,"abstract":"<p><strong>Objectives: </strong>Children with asthma living in urban environments are at risk for disrupted sleep due to the presence of nocturnal asthma symptoms and urban stressors. Suboptimal sleep can affect children's daily functioning. The current study examined the effects of experimental sleep disruption on daytime performance in children with persistent asthma from urban backgrounds.</p><p><strong>Method: </strong>Twenty-four children (8-10 years old) with asthma living in urban environments participated in an experimental, laboratory-based sleep disruption protocol. Children completed a baseline night consisting of uninterrupted sleep, followed by a disruption night, with 2-minute arousals every 20 minutes of sleep. Sleep and sleep disruptions were monitored via polysomnography. Daytime performance measurements (Psychomotor Vigilance Task; Daytime Sleepiness, child- and caregiver-report) were evaluated at baseline and after sleep disruption using t-tests and percent change calculations.</p><p><strong>Results: </strong>No significant differences in attention or daytime sleepiness were observed between the uninterrupted night of sleep and the disrupted night of sleep (p-values >.05). Percent change calculations showed that children demonstrated poorer attention (decreased response speed; increased reaction time, lapses, total errors, false starts) and more daytime sleepiness (caregiver- and child-report) following a night of sleep disruption compared to an uninterrupted night of sleep. Gender and racial/ethnic group differences in outcomes were also examined.</p><p><strong>Conclusions: </strong>Children with asthma living in urban environments may be at risk for sleep disruption and impaired daytime functioning. More experimental sleep research with larger samples is necessary to further explore these associations.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014393","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":"ChatGPT vs. sleep disorder specialist responses to common sleep queries: Ratings by experts and laypeople: Comment.","authors":"Hinpetch Daunsupawong, Viroj Wiwanitkit","doi":"10.1016/j.sleh.2024.12.005","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.12.005","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014296","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":"Multidimensional sleep health and cognitive function across adulthood.","authors":"Kristin R Calfee, Soomi Lee, Ross Andel","doi":"10.1016/j.sleh.2024.11.005","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.11.005","url":null,"abstract":"<p><strong>Study objectives: </strong>Sleep is essential for proper function of the mind and body. Studies report the effect of sleep problems on cognition but focus on only a single or limited number of sleep indicators or on clinical populations (e.g., sleep apnea), and/or provide only cross-sectional results. This study examined cross-sectional and longitudinal associations between multidimensional assessment of sleep health and cognitive function.</p><p><strong>Methods: </strong>3398 adults (M_age=56years) provided self-reported sleep and objective cognitive data for the Midlife in the United States study. A subsample of 2119 participants also provided sleep and cognitive data at follow-up approximately 9years later. A multidimensional, composite measure of sleep health composed of regularity, satisfaction, alertness, efficiency, and duration based on the Ru-SATED model was utilized (higher score=better sleep health) to evaluate self-reported sleep, and cognitive function was assessed using the Brief Test of Adult Cognition by Telephone.</p><p><strong>Results: </strong>Cross-sectionally, better sleep health was associated with better cognition (B=0.121, SE=0.017, p<.001). This relationship remained significant even after adjusting for sociodemographic and health covariates (B=0.039, SE=0.014, p=.006). Longitudinally, improvement in sleep health from baseline to follow-up was associated with better cognitive performance at follow-up (B=0.031, SE=0.011, p=.004); however, this relationship did not remain significant after adjusting for covariates (B=0.015, p=.139).</p><p><strong>Conclusion: </strong>Findings suggest better sleep health measured across multiple domains is associated with higher cognitive function. Future studies may want to examine potential mechanisms by which better sleep health relates to better cognitive function over time, such as reduction in stress or inflammation.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014301","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":"Daily sleep and physical activity from accelerometry in adults: Temporal associations and lag effects.","authors":"Sarah Alismail, Calvin P Tribby, Jiue-An Yang, Dorothy D Sears, Noemie Letellier, Tarik Benmarhnia, Marta M Jankowska","doi":"10.1016/j.sleh.2024.12.001","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.12.001","url":null,"abstract":"<p><strong>Objectives: </strong>Insufficient sleep is linked to various health issues, while physical activity is a protective measure against chronic diseases. Despite the importance of sleep and physical activity for supporting public health, there remains scant research investigating daily and cumulative associations between objectively measured physical activity and sleep. Understanding the associations of physical activity and sleep behaviors over multiple days may inform the efficacy of interventions to synergistically support both behaviors.</p><p><strong>Method: </strong>Data were from the Community of Mine study (N=367 with complete data). Participants wore ActiGraph GT3X+ accelerometers on their wrist and hip for 14days. Sleep was defined as total sleep time (h/night), wakefulness after sleep onset (min), and sleep efficiency (%). Moderate to vigorous physical activity was defined as ≥760 counts per minute. Mixed-effects linear models with distributed lag effects, adjusted for age, Hispanic/Latino ethnicity, body mass index, education, smoking, and residence type, investigated the effect of sleep on prospective moderate to vigorous physical activity (and moderate to vigorous physical activity on prospective sleep): on the same or previous day, 2-day lag, and 3-day lag.</p><p><strong>Results: </strong>An increase in same day, 2-day lag, and 3-day lag moderate to vigorous physical activity was associated with decreased total sleep time. Moderate to vigorous physical activity was not associated with sleep efficiency or wakefulness after sleep onset. An increase in same day and 3-day lag of total sleep time was associated with decreased moderate to vigorous physical activity. An increase in 3-day lag sleep efficiency was associated with decreased moderate to vigorous physical activity. wakefulness after sleep onset was not associated with moderate to vigorous physical activity.</p><p><strong>Conclusions: </strong>These insights contribute to understanding the dynamic interplay between moderate to vigorous physical activity and sleep in adults, highlighting same day and cumulative associations.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985127","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":"Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living setting.","authors":"Jyotirmoy Nirupam Das, Linying Ji, Yuqi Shen, Soundar Kumara, Orfeu M Buxton, Sy-Miin Chow","doi":"10.1016/j.sleh.2024.10.003","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.10.003","url":null,"abstract":"<p><strong>Goal and aims: </strong>One challenge using wearable sensors is nonwear time. Without a nonwear (e.g., capacitive) sensor, actigraphy data quality can be biased by subjective determinations confounding sleep/wake classification. We developed and evaluated a machine learning algorithm supplemented by dynamic features to discern wear/nonwear episodes.</p><p><strong>Focus technology: </strong>Actigraphy data from wrist actigraph (Spectrum, Philips-Respironics).</p><p><strong>Reference technology: </strong>The built-in nonwear sensor as \"ground truth\" to classify nonwear periods using other data, mimicking features of Actiwatch 2.</p><p><strong>Sample: </strong>Data were collected over 1week from employed adults (n = 853).</p><p><strong>Design: </strong>Extreme gradient boosting (XGBoost), a tree-based classifier algorithm, was used to classify wear/nonwear, supplemented by dynamic features calculated over various time windows.</p><p><strong>Core analytics: </strong>The performance of the proposed algorithm was tested over 30-second epochs. Additional analytics and exploratory analyses: Evaluation of the SHapley Additive exPlanations (SHAP) values to find the effectiveness of the dynamic features.</p><p><strong>Core outcomes: </strong>The XGBoost classifier yielded substantial improvements in balanced accuracy, sensitivity, and specificity, including dynamic features and comparison to default actiwatch classification algorithms.</p><p><strong>Important supplemental outcomes: </strong>The proposed classifier effectively distinguished between valid and invalid days, and the duration of contiguous periods of nonwear correctly identified.</p><p><strong>Core conclusion: </strong>Our findings highlight the potential of XGBoost using dynamic features of varying activity levels across the time series to provide insights on wear/nonwear classification using a large dataset. The methodology provides an alternative to laborious manual benchmarking of the data for similar devices that do not have a nonwear sensor.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956756","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}