Journal of activity, sedentary and sleep behaviors最新文献

{"title":"Cross-sectional and longitudinal associations between sleep, sedentary behaviour and physical activity with adiposity and cardio-respiratory fitness in school-aged children: a compositional data analysis.","authors":"Aaron Miatke, Tim Olds, Carol Maher, Francois Fraysse, Dorothea Dumuid","doi":"10.1186/s44167-025-00082-y","DOIUrl":"10.1186/s44167-025-00082-y","url":null,"abstract":"<p><strong>Background: </strong>Time spent in sleep, sedentary behaviour (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) all impact child health. The aim of this study was to investigate cross-sectional and longitudinal associations between time use and adiposity and cardio-respiratory fitness (CRF) in school-aged children.</p><p><strong>Methods: </strong>Cross-sectional (n = 281) and longitudinal (n = 305) data were used from the Life on Holidays study with assessments over three time periods (two consecutive school years, and the interleaving summer holiday period). 24-h time use was measured using wrist-worn accelerometers. Adiposity was assessed as BMI z-score from measured weight and height, using World Health Organization reference data, and from body fat percentage (%BF) measured via bioelectrical impedance. CRF was operationalised as estimated VO₂max from the 20-m shuttle run test. Compositional data analysis in conjunction with linear mixed-effects models was used to investigate the associations between time-use composition and outcomes after controlling for covariates. Cross-sectional models used baseline measures, and longitudinal models used rates of change in each outcome. Sensitivity analyses explored relationships for moderate physical activity (MPA) and vigorous physical activity (VPA) separately.</p><p><strong>Results: </strong>In cross-sectional analyses, time spent in MVPA was favourably associated with all adiposity and fitness outcomes (all p < 0.01) whereas time in LPA was unfavourably associated with all outcomes (all p < 0.01). Sleep was favourably associated with %BF, whereas SB was unfavourably associated (both p = 0.02). In longitudinal models, only MVPA was significantly associated with any of the three outcomes. 30 min/day more time spent in MVPA was associated with a decrease in %BF rate of change (-0.60 to -0.48) when time was reallocated from LPA or SB, and with an increase in VO₂max (+ 0.89 to + 1.01) when time was reallocated from any other behaviour. Sensitivity analyses showed VPA was significantly associated with changes in %BF and VO₂max.</p><p><strong>Conclusions: </strong>All behaviours displayed cross-sectional associations with adiposity and CRF. However, only MVPA (and in particular VPA) was significantly associated with changes in %BF or VO₂max in longitudinal models. Future efforts should focus on increasing participation in MVPA with school-aged children to see the most benefit to health.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"11"},"PeriodicalIF":0.0,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247391/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between parent and child 24-hour movement behaviours across the COVID-19 pandemic in Canada.","authors":"Hilary A T Caldwell, Julie E Campbell, Ashley Preston, Simran Bhamra, Sara F L Kirk, Guy Faulkner, Mark S Tremblay, Sarah A Moore","doi":"10.1186/s44167-025-00081-z","DOIUrl":"10.1186/s44167-025-00081-z","url":null,"abstract":"<p><strong>Background: </strong>Parents influence and support children's healthy movement behaviours (physical activity, sedentary time, sleep). During the COVID-19 pandemic, families spent even more time together. Thus, parents likely had greater influence on their child's movement behaviours than usual. This study assessed the associations between parent and child movement behaviours and compliance with movement behaviour guidelines at two time points during the COVID-19 pandemic.</p><p><strong>Methods: </strong>National samples of parents of children and adolescents (5-17 years) living in Canada completed online surveys about their own and their child's movement behaviours in October 2020 (n = 1,568, 58% women) and April 2021 (n = 1,600, 60% women). Associations between parent and child movement behaviours and compliance with 24-hour movement behaviour guidelines were examined.</p><p><strong>Results: </strong>We observed mostly positive, significant correlations between parent and child movement behaviours in October 2020 (r = 0.12-0.26, p < 0.05) and April 2021 (r = 0.12-0.20, p < 0.05). A parent meeting an individual movement behaviour guideline (e.g., physical activity) was associated with an overall higher incidence of their child meeting the same guideline in October 2020 (Incidence Rate Ratio (IRR):=1.10-3.06) and April 2021 (IRR: 1.19-2.26). The incidence of children meeting the 24-hour movement guidelines in October 2020 (IRR = 3.06, 95% CI: 1.55, 6.04) and in April 2021 (IRR = 2.26, 95% CI: 1.34, 3.83) was higher when parents met the 24-hour movement guidelines.</p><p><strong>Conclusions: </strong>Parent and child movement behaviours were associated with one another during the COVID-19 pandemic, particularly for children (compared with adolescents). In times of severe public health restrictions, health promotion efforts should target family units to promote healthy movement of families collectively.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"10"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12220182/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of physical activity, sedentary behavior, and sleep patterns with cognitive function among middle-aged and older adults.","authors":"Yuzi Zhang, Baojiang Chen, Emily T Hébert, Laura F DeFina, David Leonard, Carolyn E Barlow, Andjelka Pavlovic, Harold W Kohl","doi":"10.1186/s44167-025-00079-7","DOIUrl":"10.1186/s44167-025-00079-7","url":null,"abstract":"<p><strong>Background: </strong>Despite the established evidence that physical activity, sedentary behavior, and sleep affect cognitive function individually, less is known about the combined effects of these movement behaviors. The study aimed to identify movement patterns of physical activity, sitting time, and sleep and to examine the association of movement patterns with cognitive function.</p><p><strong>Methods: </strong>This cross-sectional study included 1,240 participants aged ≥ 55 years participating in the Cooper Center Longitudinal Study who visited the Cooper Clinic, Dallas (2016-2019) for preventive health care. Four movement behaviors were self-reported, including leisure-time aerobic activity, muscle-strengthening activity, sitting time, sleep, and other characteristics. Cognitive function was assessed by the Montreal Cognitive Assessment (MoCA). Four categorical indicators were created for each movement behavior and used to identify latent classes. Information criterion, scaled relative entropy and model interpretability were used to determine the optimal number of classes. Participants were assigned to the predicted classes based on their highest posterior probabilities. Multinomial regressions examined the association between movement patterns and each covariate. Linear and logistic regression models examined the association of movement patterns and cognitive function. A sensitivity analysis accounted for misclassification errors.</p><p><strong>Results: </strong>Participants were predominantly White (95%), male (71%), with an average age of 62 years. A 3-class model was selected, comprising class 1: active long sleepers, class 2: very active short sleepers, and class 3: moderately active short sleepers, representing 11%, 62%, and 27% of the sample. Compared to class 2, class 1 was more likely to be older and female, while class 3 was more likely to be female, have less education, be overweight and obese, and have chronic conditions. Compared to class 2, class 3 was associated with a lower MoCA total score, adjusting for sociodemographic factors. There were no differences in MoCA total score between class 2 and class 3 when further controlling for health behaviors and indicators. Sensitivity analysis accounting for misclassification suggested that class 3 had a significantly lower average MoCA total score than class 2.</p><p><strong>Conclusions: </strong>The current study identified three distinct movement classes that exhibited different sociodemographic, health characteristics and cognitive functions. Findings highlight that less active, more sedentary, and shorter sleep individuals had worse cognitive function.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"9"},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12177967/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144334585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distinguishing associations between neighbourhood features and physical inactivity, sedentary behaviour time, and screen time in boys and girls.","authors":"Ana Andreea Lungu, Adrian E Ghenadenik, Andraea Van Hulst, Marie-Eve Mathieu, Melanie Henderson, Yan Kestens, Tracie A Barnett","doi":"10.1186/s44167-025-00074-y","DOIUrl":"10.1186/s44167-025-00074-y","url":null,"abstract":"<p><strong>Objective: </strong>Physical inactivity (PI), sedentary behaviour time (SB) and screen time (ST) are related but distinct behaviors for which separate research and environmental intervention frameworks may be warranted. We examined associations between neighbourhood features and PI/SB/ST among boys and girls at risk of obesity at two timepoints, i.e., childhood (8-10 years old) and pre-adolescence (10-12 years old).</p><p><strong>Methods: </strong>Data were from the QUALITY cohort, an ongoing study of the natural history of obesity in 630 Quebec families. Based on accelerometry, excess PI was defined as accumulating < 60 min/day of moderate to vigorous physical activity and excess SB as recording < 100 counts per minute for > 50% of wear time, and excess ST was based on self report and defined as reporting > 2 h/day of recreational ST. Neighbourhood features including presence of physical activity installations, green space, walkability, traffic indicators, physical disorder and foodscape indicators were measured using direct observation and geographic information systems. Neighbourhood features were measured when children were 8-10 years of age. Separate logistic regression models were estimated at each time point. Models controlled for child's age, parental BMI, parental education, and area-level material deprivation.</p><p><strong>Results: </strong>The odds of excess ST were lower in neighbourhoods with a higher number of parks, across all age and sex groups [ORs ranging from 0.70 (95% CI: 0.54-0.91) to 0.81(95% CI: 0.65-1.01)]. Among boys, the odds of excess SB were lower in neighbourhoods with more physical activity structures (OR: 0.44; 95% CI: 0.20-0.99); among girls, the odds of excess SB were lower in neighbourhoods with more sidewalks (OR: 0.67, 95% CI 0.47-0.95) and those that were exclusively residential (OR: 0.13, 95% CI: 0.04-0.45). Few neighbourhood features were associated with PI.</p><p><strong>Conclusion: </strong>Our findings suggest that PI, SB and ST have both shared and distinct environmental determinants among children with parental obesity. While different patterns are likely to emerge across diverse contexts and populations, it remains relevant to consider that transforming specific features of the built environment may be more effective for some outcomes than others, and may not benefit all groups equally.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"8"},"PeriodicalIF":0.0,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12139349/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144236111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Profile of the PLAY spaces & environments for children's physical activity, sedentary behaviour and sleep (PLAYCE) cohort study, Western Australia.","authors":"Hayley Christian, Andrea Nathan, Stewart G Trost, Jasper Schipperijn, Bryan Boruff, Emma K Adams, Phoebe George, Hannah L Moore, Anna Henry","doi":"10.1186/s44167-025-00078-8","DOIUrl":"https://doi.org/10.1186/s44167-025-00078-8","url":null,"abstract":"<p><strong>Background: </strong>Childhood is a critical period for the development of movement behaviours such as physical activity, sleep and sedentary behaviour. The PLAYCE Cohort was established to investigate how movement behaviours change over early to middle childhood, across key behaviour settings and relationships with health and development. An overview of the PLAYCE cohort, summary of key findings to date, and future research opportunities are presented.</p><p><strong>Methods: </strong>Children were recruited at 2-5 years of age (preschool; Wave 1) via early childhood education and care (ECEC) services and were followed up in junior primary school (5-7 years; Wave 2) at 8-10 years (Wave 3) and again at 11-13 years (Wave 4; in progress). Children's movement behaviours were measured via parent-report and accelerometry. Social-emotional development, motor development, weight status, diet, and child and family socio-demographics were parent-reported. Physical environmental features of children's key behaviour settings (home, neighbourhood, ECEC and school) were collected using geo-spatial and audit data.</p><p><strong>Results to date: </strong>At wave 1 (2-5 years), only 8% of children met all three recommendations of the Australian 24-hour Movement Guidelines for the Early Years. Meeting all recommendations (8%) was positively associated with boys social-emotional development. Physical environment features of the home yard (size, play equipment, natural features) were positively associated with preschool children's physical activity. Tree canopy and more portable play equipment in ECEC outdoor areas was also positively associated with children's outdoor time and physical activity.</p><p><strong>Conclusions: </strong>Wave 4 (11-13 years) data collection will be completed in early 2026. Traditional longitudinal and compositional data analysis of the PLAYCE cohort will be undertaken. Four waves of data will provide detailed patterns of movement behaviours and their effect on child health and development as well as the environmental influences on children's movement behaviours across early to middle childhood. The findings can be used to inform national and international 24-Hour Movement Guidelines and behaviour setting-specific as well as population-level interventions to benefit child health and wellbeing across early to middle childhood.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11995550/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144029589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic review and meta-analysis of the first decade of compositional data analyses of 24-hour movement behaviours, health, and well-being in school-aged children.","authors":"Nicholas Kuzik, Markus J Duncan, Natalie Beshara, Matthew MacDonald, Diego Augusto Santos Silva, Mark S Tremblay","doi":"10.1186/s44167-025-00076-w","DOIUrl":"https://doi.org/10.1186/s44167-025-00076-w","url":null,"abstract":"<p><strong>Introduction: </strong>Movement behaviours (e.g., sleep, sedentary behaviour, light physical activity [LPA], moderate to vigorous physical activity [MVPA]) are associated with numerous health and well-being outcomes. Compositional data analyses (CoDA) accounts for the interdependent nature of movement behaviours. This systematic review and meta-analysis provides a timely synthesis of the first decade of CoDA research examining the association between movement behaviours, health, and well-being in school-aged children.</p><p><strong>Methods: </strong>Databases were systematically searched for peer-reviewed studies examining CoDA associations between movement behaviours and health or well-being in school-aged children (5.0-17.9 years). All health and well-being outcomes were eligible for inclusion, as were all methods of reporting CoDA results. Where possible meta-analyses were conducted.</p><p><strong>Results: </strong>Twenty-six studies were included in the review. Sample sizes ranged from 88 - 5,828 (median = 387) participants and the mean ages ranged from 8 to 16 years. Regression parameters (k_studies=16) were the most common method of reporting results, followed by substitution effects (k_studies=12), optimal compositions (k_studies=3), and movement behaviour clusters (k_studies =1). Weighted compositional means of movement behaviours were calculated (e.g., 49.8 min/day of MVPA). For regression analyses, results were generally null, though some favourable trends were observed for MVPA and unfavourable trends for LPA and sedentary behaviour within individual health and well-being outcomes categories. Meta-analyses of substitutions supported the benefits of MVPA, with the risks of reducing MVPA for other movement behaviours being double the magnitude compared to the benefits of adding MVPA.</p><p><strong>Discussion: </strong>The most consistent conclusions within this review align with previous reviews that support the benefits of MVPA. Further, some evidence supported 24-hour movement behaviour guideline recommendations of increasing sleep and decreasing sedentary behaviour. This review also quantified not only the need to promote MVPA, but perhaps more importantly the urgency needed to preserve the limited MVPA children currently accumulate. Findings reinforce the \"more/less is better\" messages for movement behaviours, but do not allow us to recommend more specific balances of movement behaviours. As CoDA of movement behaviours progresses and accumulates further research, the methods and discussion points within the current review can aide future meta-analyses aimed at advancing the precision health guidance needed for optimizing children's health and well-being.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948812/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144045503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence, correlates, and health associations of 24-hour movement behaviours in Slovenian adults: a protocol for a longitudinal population-based study.","authors":"Kaja Kastelic, Tjaša Knific, Nejc Šarabon","doi":"10.1186/s44167-025-00073-z","DOIUrl":"https://doi.org/10.1186/s44167-025-00073-z","url":null,"abstract":"<p><strong>Background: </strong>Physical activity, sedentary behaviour, and sleep (i.e., 24-hour movement behaviours) are among key determinants of health and well-being. However, epidemiological studies that investigate these behaviours while accounting for their co-dependent nature are still scarce. This article describes the protocol of a population-based study that aims to explore the prevalence and correlates of 24-hour movement behaviours among Slovenian adults and their cross-sectional and longitudinal associations with health and well-being.</p><p><strong>Methods: </strong>Participants will be recruited through the National Health-related Lifestyle Survey study that is conducted among a national representative sample of Slovenian adults aged 18-74 years (n of invited participants every four years = 17,500). Baseline data collection will include assessment of 24-hour movement behaviours using activPAL accelerometers. Domain-specific movement behaviours, built environment, and well-being will be assessed using questionnaires. A linkage to the National Health-related Lifestyle Survey that include data on demographics (e.g., marital status, socio-economic status), health-related behaviours (e.g., diet, smoking), and health (e.g., self-reported health, comorbidities) will also be established. The follow-up data collections (every four years) will include self-reported assessments of 24-hour movement behaviours, built environment, health and well-being, and linkage to the national health-related registers.</p><p><strong>Discussion: </strong>The study will produce new knowledge on 24-hour movement behaviours, their socio-demographic and built environment correlates, and their cross-sectional and longitudinal relationship with health outcomes using compositional data analysis. It will reveal an insight into the relative importance of domain-specific and type-specific movement behaviours, informing future 24-hour movement guidelines for adults.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960283/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144036278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physical activity and sedentary behaviour amongst children with obesity - exploring cross-sectional associations between child and parent.","authors":"Hannah Lundh, Daniel Arvidsson, Christian Greven, Jonatan Fridolfsson, Mats Börjesson, Charlotte Boman, Katarina Lauruschkus, Stefan Lundqvist, Karin Melin, Susanne Bernhardsson","doi":"10.1186/s44167-025-00072-0","DOIUrl":"https://doi.org/10.1186/s44167-025-00072-0","url":null,"abstract":"<p><strong>Background: </strong>Physical activity (PA) in childhood is critical for establishing a healthy lifestyle across the lifespan, particularly to treat and prevent obesity. This study aimed to explore PA and sedentary behaviour (SED) in 6-12-year-old children with obesity and their parents, and possible associations in these behaviours between children and parents.</p><p><strong>Methods: </strong>Children referred to outpatient paediatric healthcare for obesity treatment and one of their parents wore accelerometers (Axivity) on their hip during seven consecutive days. Accelerometer data were processed using the 10 Hz frequency extended method. Correlations between child and parent PA and SED, respectively, were analysed using intra-class correlation coefficient.</p><p><strong>Results: </strong>Thirty-nine children (19 female) and 38 parents (20 female) were included. The mean age of the children was 9.7 years (SD 2.0) and the mean parent age was 42.2 years (SD 6.1). The mean child BMI-SDS was 3.0 (SD 0.4). Fifty-seven % of the parents were born in Sweden, 16% in other European countries, and 27% outside Europe. Children spent an average of 9.8 h/day in SED, while parents spent an average of 12.3 h/day. The mean daily time spent in low-intensity PA was 3.9 h for children and 3.4 h for parents, while moderate-to-vigorous intensity PA averaged 0.7 h/day for children and 0.3 h/day for parents. Only six of the children (15%) reached the recommended minimum of 60 min of moderate-to-vigorous intensity PA per day and only two parents (5%) reached the recommended weekly minimum of 150 min of moderate intensity PA. Child and parent SED was significantly correlated, although the correlation was weak (ICC 0.14; p = 0.017). No statistically significant correlations were found for any of the analysed PA intensity levels.</p><p><strong>Conclusions: </strong>The findings indicate an association between children's and parents' SED in this sample of school-aged children with obesity, while no association was observed in PA behaviour. Generalisability of our findings is limited and more research is needed- in larger samples, other settings, and using longitudinal designs- to better understand the potential links between the PA patterns of children with obesity and that of their parents.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960359/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adherence to the 24-hour movement behavior guidelines and depression risk among older adults from the United States.","authors":"Astrid N Zamora, Arjan S Walia, Abby C King","doi":"10.1186/s44167-024-00071-7","DOIUrl":"https://doi.org/10.1186/s44167-024-00071-7","url":null,"abstract":"<p><strong>Background: </strong>While recent studies, primarily among Asian cohorts, have linked adherence to 24-hour movement behavior (24-HMB) guidelines with improved mental health-some of which show sex differences-few studies have explored these relationships among older adults from the United States.</p><p><strong>Methods: </strong>National Health and Nutrition Examination Survey data from 2011-2018 were examined in 2,812 older adults (≥ 65years). Those considered adherent to 24-HMB guidelines had a sleep duration of 7-8 h./night, moderate-vigorous physical activity (MVPA) ≥ 150 min/wk., and sedentary behavior (SB) < 8 h./day. Sleep duration, SB, and MVPA were self-reported, with SB and MVPA obtained from the validated Global Physical Activity Questionnaire. Depression was measured using the Patient Health Questionnaire (PHQ-9), with a score of ≥ 10 indicating depression. Logistic regression was used to evaluate overall and sex-stratified associations between non-adherence to all three behaviors, combinations of two behaviors, or individual behavior guidelines, with odds of depression, adjusted for putative confounders.</p><p><strong>Results: </strong>Among the full sample, non-adherence to all three 24-HMB guidelines was associated with 1.7 [95% confidence interval (CI):1.1, 3.1; p = 0.02] higher odds of depression versus those that adhered to all three behaviors. After sex stratification, the association only persisted among males [OR = 2.5 (95% CI:1.1, 5.4); p = 0.02]. Within the overall sample, higher odds of depression were observed for those who did not adhere to the SB + sleep duration guidelines and the sleep duration + MVPA guidelines. Sex-stratified findings revealed that associations only remained significant in males. While in the overall sample of older adults, non-adherence to the sleep duration guideline was associated with 2.1 (95% CI:1.4, 3.3; p = 0.001) higher odds of depression compared to those that adhered to the guideline.</p><p><strong>Conclusions: </strong>Results provide evidence of associations between non-adherence to 24-HMB and higher odds of depression, specifically in older males, suggesting a potential sex-specific effect that warrants further investigation. Future studies using longitudinal designs are needed to confirm these findings and explore the mechanisms underlying these associations.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960271/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143999866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unraveling the relationship between sleep behaviors and physical activity in the United States: insights from 2015 to 2020 NHANES data.","authors":"Deepali K Ernest, Bipin Singh, Fathimath Shamna, Elizabeth A Onugha, Shreela V Sharma","doi":"10.1186/s44167-024-00070-8","DOIUrl":"https://doi.org/10.1186/s44167-024-00070-8","url":null,"abstract":"<p><strong>Background: </strong>Physical activity is an important component of metabolic health. However, little is known about the impact of specific types/intensities of physical activity on sleep health, especially among ethnically diverse populations. We examined the association of various sleep behaviors with moderate to vigorous work/recreational activity.</p><p><strong>Methods: </strong>Self-reported data from the National Health and Nutrition Examination Survey 2015-2020 were cross-sectionally analyzed for a sample of 11,039 participants in the United States (U.S.). Weighted univariate logistic regressions determined unadjusted associations, while weighted multivariable regression models adjusting for age, sex, ethnicity, BMI categories, and socio-economic status assessed the multivariable associations with moderate and vigorous work/recreational activity. Stratified analyses were performed to determine across-group differences by ethnicity and BMI categories.</p><p><strong>Results: </strong>Of 11,039 adults (mean age 41 years), 50.7% were female, 59.8% were Non-Hispanic White, 17.8% Hispanic/Latino, 12% Non-Hispanic Black, 6.3% Non-Hispanic Asian, and 4.1% other/multiple ethnicities. Moderate work activity increased the odds of short sleep duration [aOR = 1.42; 95% CI: 1.22, 1.65], snoring [aOR = 1.45; 95% CI: 1.21, 1.73], breath cessation [aOR = 1.37; 95% CI: 1.18, 1.59], and daytime sleepiness [aOR = 1.63; 95% CI: 1.39, 1.91]. Vigorous recreational activity reduced the odds of short sleep duration [aOR = 0.81; 95% CI: 0.71, 0.94] and trouble sleeping [aOR = 0.83; 95% CI: 0.73, 0.96]. Stratified analyses indicated significant ethnicity-based differences in the odds of sleep behaviors across physical activity groups and increased odds of poor sleep behaviors among participants who were underweight, overweight or had obesity.</p><p><strong>Conclusion: </strong>Work-related activity was significantly associated with suboptimal sleep behaviors while recreational activity was associated with favorable sleep behaviors. These associations were more pronounced among certain ethnic groups. Further longitudinal investigation is needed to examine the mechanism driving the relationship between sleep behaviors and physical activity.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"31"},"PeriodicalIF":0.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960219/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}