Journal of physical activity & health最新文献

{"title":"How Many Chinese Adults Meet the 24-Hour Movement Guidelines: A Systematic Review and Meta-Analysis of 35,495 Participants.","authors":"Jiafu Huang, Xiangyu Du, Tena Matolic, Sitong Chen, Chunxiao Li","doi":"10.1123/jpah.2025-0106","DOIUrl":"https://doi.org/10.1123/jpah.2025-0106","url":null,"abstract":"<p><strong>Background: </strong>Increasing the prevalence of meeting the 24-hour movement guidelines in the population is a public health priority. However, population-level prevalence is the first step for health policy decision making. Therefore, the aim of this study was to estimate the prevalence of meeting the 24-hour movement guidelines among Chinese adults.</p><p><strong>Methods: </strong>Six electronic databases were systematically searched for relevant studies published between January 1, 2020 and November 25, 2024. Observational studies including prevalence rate of meeting or not meeting the 24-hour movement guidelines among Chinese adults aged 18 years or older were included. A meta-analysis was conducted to calculate the pooled prevalence.</p><p><strong>Results: </strong>A total of 12 studies comprising 35,495 participants were included. The meta-analysis showed that only 16.35% (95% CI, 8.46%-26.19%) of Chinese adults met all 3 24-hour movement guidelines, 37.27% (95% CI, 23.52%-52.17%) met any 2 of the guidelines, 35.37% (95% CI, 26.76%-44.49%) met only 1, and 8.58% (95% CI, 4.24%-14.23%) met none. A significant age-related difference was found in the prevalence of meeting only 1 guideline (18-64 y: 31.24%; 95% CI, 25.81%-36.93% vs ≥65 y: 49.79%; 95% CI, 48.74%-50.84%; P < .001), whereas no significant age or sex differences were found in meeting the guidelines.</p><p><strong>Conclusions: </strong>The prevalence of meeting the entire 24-hour movement guidelines among Chinese adults is low (~16%), highlighting the need for tailored interventions against unhealthy movement behaviors. Future research is needed to better understand patterns of movement behaviors in this population.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-12"},"PeriodicalIF":2.6,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144958225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying Optimal Moments for Delivering Digital Prompts to Reduce Prolonged Sedentary Behavior in Older Adults: An Intensive Longitudinal Study Using Sensor-Triggered Ecological Momentary Assessment.","authors":"Sofie Compernolle, Laura Van de Velde, Greet Cardon, Melina Kastrinou, Tomas Vetrovsky, Femke De Backere, Delfien Van Dyck","doi":"10.1123/jpah.2025-0118","DOIUrl":"10.1123/jpah.2025-0118","url":null,"abstract":"<p><strong>Background: </strong>The optimal moment to deliver digital prompts for reducing sedentary behavior (SB) is when individuals are susceptible to prolonged SB (vulnerability) and open to behavior change (opportunity). This study aims to examine both vulnerability and opportunity.</p><p><strong>Methods: </strong>A 14-day ecological momentary assessment study was conducted with 105 older adults. Participants wore a Fitbit activity tracker and an ActivPAL accelerometer and used a smartphone-based ecological momentary assessment app. Sensor-triggered questionnaires were delivered via the app after 30 minutes of SB to capture participants' activity, physical, social, and temporal contexts; feelings of pain and fatigue; and willingness to interrupt SB. Descriptive statistics identified states of vulnerability, whereas linear mixed models examined when participants are willing to interrupt prolonged SB, shedding light on states of opportunity.</p><p><strong>Results: </strong>Ecological momentary assessment data (n = 2580) showed that older adults were most vulnerable to prolonged SB while watching TV (36.3%) and using digital devices (14.7%). Prolonged SB predominantly occurred at home (91.2%), in the evening (46.4%), when feeling fatigue (52.2%), and when experiencing mild pain (21.1%). The willingness to interrupt SB varied by activity, physical and social context, perceived pain, and level of fatigue, but not by time of day. Specifically, participants were more willing to interrupt their SB when engaging in mentally active SB and when indoors, alone, or with close relatives.</p><p><strong>Conclusions: </strong>Contextual factors significantly influence older adults' vulnerability to prolonged SB and their willingness to interrupt it. This empirical information can guide the design of just-in-time adaptive interventions that deliver strategically timed prompts to reduce prolonged SB in older adults.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1231-1243"},"PeriodicalIF":2.6,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144883080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Continuity and Changes in Work Commuting Modes and Their Associations With Overall Physical Activity and Weight Status Among Finnish Adults.","authors":"Kasper Salin, Tuomas Kukko, Irinja Lounassalo, Xiaolin Yang, Kaisa Kaseva, Harto Hakonen, Janne Kulmala, Katja Pahkala, Suvi Rovio, Nina Hutri, Mirja Hirvensalo, Olli Raitakari, Tuija H Tammelin","doi":"10.1123/jpah.2024-0644","DOIUrl":"10.1123/jpah.2024-0644","url":null,"abstract":"<p><strong>Background: </strong>This paper aims to examine and compare the levels and changes in physical activity (PA) and weight status over an 11-year follow-up among adults with varying commuting modes to work.</p><p><strong>Methods: </strong>Overall, 1357 Finnish adults (Mage = 37.4 y, at baseline) participated in the study during 2007-2008, 2011-2012, and 2018-2020. Commuting mode to work and PA were self-reported by questionnaires at baseline and follow-ups. In addition, data on device-measured PA (pedometers and accelerometers), body mass index (BMI), and waist circumference were collected. Linear mixed effects and linear regression models were used to compare the levels and changes in weekday step counts, BMI, and waist circumference among study participants with different work commuting modes.</p><p><strong>Results: </strong>Active commuters took, on average, 953 to 1345 more daily steps than passive commuters. Walkers and public transport users recorded more daily and aerobic steps than car users in both summer and winter, whereas cyclists showed this difference only in winter. Those who became active commuters during the follow-up increased their daily steps more (+763 steps per day, P = .028) than persistently passive commuters, whose daily steps remained unchanged. Over the 11-year follow-up, BMI and waist circumference increased, but the increase in BMI was smaller (-0.4 kg/m2) among persistently active commuters compared with persistently passive commuters.</p><p><strong>Conclusions: </strong>Active work commuting modes, including the use of public transport, contributed to higher overall PA measured by daily steps. Persistent active commuting over 11 years was associated with healthier BMI development compared with persistent car use.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-9"},"PeriodicalIF":2.6,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144883077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum. Chance or Strategy? Assessing the Unanticipated Policy Window for Active Transportation During the COVID-19 Pandemic: A Systematic Review.","authors":"","doi":"10.1123/jpah.2025-0554","DOIUrl":"10.1123/jpah.2025-0554","url":null,"abstract":"","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1"},"PeriodicalIF":2.6,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144883078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Concurrent Neuromuscular Training on Body Composition, Muscular Fitness, and Quality of Life in Outpatients With Obesity: A Randomized Controlled Trial.","authors":"Luca Cavaggioni, Luisa Gilardini, Marina Croci, Eliana Roveda, Letizia Galasso, Simona Bertoli","doi":"10.1123/jpah.2024-0848","DOIUrl":"10.1123/jpah.2024-0848","url":null,"abstract":"<p><strong>Background: </strong>The aim is to investigate whether integrating a therapeutic program, focused on concurrent training combined with neuromuscular exercises (CNET), within a multidisciplinary approach can positively impact body composition, muscular fitness, and quality of life in adults with obesity compared with a single-mode intervention.</p><p><strong>Methods: </strong>Three-arm randomized controlled trial design. Ninety-one outpatients (54.7 [7.6] y) were randomly assigned into CNET, resistance training, or aerobic training groups. The interventions lasted 10 weeks with a frequency of 2 days per week. Pre-post assessments were conducted in body mass index, waist circumference, fat mass (FM%), fat-free mass, functional movement screen, modified version of the Balance Error Scoring System, handgrip strength test, handgrip strength test asymmetry, five-repetition sit-to-stand power, and quality of life (EuroQol Five-dimensional Visual Analog Scale).</p><p><strong>Results: </strong>A significant time × group interaction, main effect of group and time were detected in all outcomes. CNET exhibited significant ameliorations compared with resistance training in functional movement screen (56%), modified version of the Balance Error Scoring System (86%), and FM% (70%), respectively. When compared with the aerobic training group, CNET showed enhancements in functional movement screen (62%), modified version of the Balance Error Scoring System (59%), five-repetition sit-to-stand power (4%), handgrip strength test (73%), handgrip strength test asymmetry (99%), FM% (60%), and fat-free mass (84%). Finally, resistance training outperformed aerobic training only in five-repetition sit-to-stand power (24%), handgrip strength test (73%), FM% (32%), and fat-free mass (79%) outcomes.</p><p><strong>Conclusion: </strong>CNET showed positive responses across all measured outcomes over 10 weeks compared to the other interventions, except for body mass index, waist circumference, and EuroQol Five-dimensional Visual Analog Scale. This exercise mode could be a feasible option to adopt when prescribing physical exercise to counteract obesity.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1106-1116"},"PeriodicalIF":2.6,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144591513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence of Physical Activity Maintenance Across a 12-Month Study: Comparison of Accelerometer Indicators.","authors":"Genevieve F Dunton, Wei-Lin Wang, Jixin Li, Shirlene Wang, Donald Hedeker, Stephen S Intille, Alexander J Rothman","doi":"10.1123/jpah.2025-0149","DOIUrl":"10.1123/jpah.2025-0149","url":null,"abstract":"<p><strong>Background: </strong>Maintaining physical activity (PA) is critical for reducing disease risk. Yet, lack of consensus on how to define and operationalize PA maintenance has hindered surveillance efforts. We used longitudinal accelerometer data to compare how different ways of operationalizing PA maintenance impact PA maintenance prevalence estimates.</p><p><strong>Methods: </strong>Young adults (N = 173, ages 18-29) provided up to 12 months of PA data via smartwatch accelerometers. Nonsleep movement data were processed into 7-day moving averages of Monitor-Independent Movement Summary units. PA maintenance was operationalized using combinations of 3 accelerometer-based indicators: (1) threshold (ie, level of PA required: [5.0-20.0 Monitor-Independent Movement Summary-units/min], (2) duration (ie,  time required above a threshold [7-70 d]), and (3) allowance (ie, time allowed below a threshold [0-40 d]). Outcomes included the prevalence of days, episodes, and number of participants classified into PA maintenance.</p><p><strong>Results: </strong>Increasing PA thresholds led to larger changes in PA maintenance prevalence outcomes than increasing durations or allowances. Greater changes in PA maintenance outcomes were observed when increasing thresholds up to about 12 Monitor-Independent Movement Summary-units/minute and allowances up to 7 days than when increasing above those points. Changes in PA maintenance outcomes were consistent across the entire range of durations.</p><p><strong>Conclusions: </strong>Threshold emerged as a more influential determinant of PA maintenance prevalence than duration or allowance, with greater changes across the lower range of thresholds. Validating these accelerometer-based indicators is a critical next step for establishing consensus regarding PA maintenance classification that can guide population-level surveillance.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1256-1269"},"PeriodicalIF":2.6,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144883082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and Correlates of Meeting World Health Organization 24-Hour Movement Guidelines Among 3-4 Year-Olds in Malawi: The Cross-Sectional SUNRISE Malawi Study.","authors":"Tawonga W Mwase-Vuma, Xanne Janssen, Anthony D Okely, Janine Kayange, Kar Hau Chong, Penny Cross, Seth Evance, John J Reilly","doi":"10.1123/jpah.2024-0650","DOIUrl":"10.1123/jpah.2024-0650","url":null,"abstract":"<p><strong>Background: </strong>Prevalence and correlates of meeting 24-hour movement guidelines in 3 and 4 year-olds from low-income countries are unknown. This study assessed prevalence and correlates of meeting World Health Organization movement behavior guidelines in Malawi.</p><p><strong>Methods: </strong>We recruited four hundred and seventeen 3-4 year-olds (49% boys) from urban and rural settings from Zomba district, Malawi. Participant sociodemographic information was collected using a modified version of the World Health Organization STEPS survey. Total physical activity was assessed using step counts from hip-worn ActiGraph accelerometers, and meeting the 3 hour per day total physical activity guideline defined as average daily steps ≥11,500. Parent questionnaires were used to assess prevalence of meeting World Health Organization guidelines for screen time (<1 h/d), sleep duration (10-13 h/d), and not being in restrained sitting for >1 hour at a time. Backward multivariable survey logistic regression was used to determine correlates of meeting guidelines. Potential correlates included sex, age, weight status, socioeconomic status (parent education), urban versus rural setting, and season.</p><p><strong>Results: </strong>Prevalence of meeting all 4 guidelines was 60% (confidence interval [CI], 52%-68%). Prevalence of meeting the individual guidelines was: total physical activity 98% (95% CI, 96%-99%); sleep duration 91% (87%-93%); restrained sitting 76% (95% CI, 68%-83%); sedentary screen time 79% (95% CI, 71%-86%). Urban children had significantly lower odds of meeting all 4 guidelines compared to their rural counterparts (odds ratio: 0.11, 95% CI, 0.04-0.37).</p><p><strong>Conclusions: </strong>Prevalence of meeting the guidelines was high, though the physical activity transition may be underway in urban areas. Preserving healthy levels of movement behaviors as economic development progresses in Malawi will be challenging.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-13"},"PeriodicalIF":2.6,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144883081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum. Effects of Concurrent Neuromuscular Training on Body Composition, Muscular Fitness, and Quality of Life in Outpatients With Obesity: A Randomized Controlled Trial.","authors":"","doi":"10.1123/jpah.2025-0596","DOIUrl":"10.1123/jpah.2025-0596","url":null,"abstract":"","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1"},"PeriodicalIF":2.6,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144883079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preventing Type II Diabetes Through Physical Activity and Healthy Eating in Adolescents: Examining the Preliminary Effectiveness of a Health Education Curriculum.","authors":"Nica Clark, Amy Loverin, Carmen Ramos, Timothy A Brusseau, Ryan D Burns, Joshua Christensen, Paul Estabrooks, Julie Metos","doi":"10.1123/jpah.2025-0022","DOIUrl":"10.1123/jpah.2025-0022","url":null,"abstract":"<p><strong>Background: </strong>The purpose of this study was to examine the preliminary effectiveness of a health education curriculum to improve anthropometric and behavioral outcomes in adolescents.</p><p><strong>Methods: </strong>A matched controlled quasiexperimental research design was utilized. Participants were students (N = 888; 52% female) recruited from 6 high schools. Three schools were assigned to an intervention group (n = 535) and 3 assigned to a matched control group (n = 353). The intervention's health education curriculum, Team Thrive, was delivered over 3 weeks and focused on increasing fruit and vegetable consumption and physical activity. Outcomes were collected at baseline (T1), at posttest 1 day after curriculum delivery (T2), and at a 1-month follow-up (T3). Linear mixed effects models carried out a difference-in-difference analysis while controlling for covariates.</p><p><strong>Results: </strong>Improvements in the intervention group compared with the control group were observed at T2 for skin carotenoids (b = 1132; 95% CI, 545-1719; P < .001), carrot consumption (b = 0.92; 95% CI, 0.41-1.42; P < .001), cups of fruit (b = 0.49; 95% CI, 0.25-0.74; P < .001), cups of vegetables (b = 0.30; 95% CI, 0.06-0.55, P = .015), step counts (b = 1123; 95% CI, 560-1688; P < .001), and strength training frequency (b = 0.50; 95% CI, 0.19-0.81; P < .01). Improvements maintained at T3 were observed for body mass index percentile (b = -1.13; 95% CI, -2.01 to -0.26; P = .01), skin carotenoids (b = 1868; 95% CI, 1286-2450; P < .001), carrot consumption (b = 0.69; 95% CI, 0.12-1.26; P = .01), and step counts (b = 1296; 95% CI, 676-1917; P < .001).</p><p><strong>Conclusions: </strong>This study supported the preliminary effectiveness of the Team Thrive health education program to improve health behaviors in adolescents. Randomized trials are needed to further establish effectiveness and provide evidence for scaling up the program for population implementation.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-5"},"PeriodicalIF":2.6,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144883083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging Device-Based Physical Activity Assessment to Prepare Children and Young People for a Digital Health Future: A Call for a Rights-Based Approach.","authors":"Samantha Fawkner, Josie N Booth, Stuart J Fairclough, Trish Gorely, Simone A Tomaz, Judy Robertson, Esther van Sluijs","doi":"10.1123/jpah.2025-0142","DOIUrl":"10.1123/jpah.2025-0142","url":null,"abstract":"","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1206-1208"},"PeriodicalIF":2.6,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144731908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}