Journal of physical activity & health最新文献

{"title":"Sex-Specific Leisure-Time Physical Activity and Sedentary Behavior Patterns in French Adults.","authors":"Jérôme Bouchan, Charlotte Verdot, Hélène Charreire, Valérie Deschamps, Jean-Michel Oppert","doi":"10.1123/jpah.2025-0029","DOIUrl":"https://doi.org/10.1123/jpah.2025-0029","url":null,"abstract":"<p><strong>Background: </strong>Both physical activity (PA) and sedentary behavior impact health, and defining combined patterns will help design targeted interventions and policies. There are marked differences between sexes in PA level. This work aimed to define sex-specific behavioral patterns combining leisure-time PA and sedentary behavior and to assess their relations with sociodemographic factors and obesity in a population-based national survey.</p><p><strong>Methods: </strong>Data were collected in 2014-2016 from a representative sample of French adults (Esteban cross-sectional study) using the Recent Physical Activity Questionnaire. In 1491 women and 1157 men, behavioral clusters were identified using multiple correspondence analysis and hierarchical classification on most frequently performed leisure-time PA and screen time.</p><p><strong>Results: </strong>Three clusters were identified in each sex. In women, cluster 1 (61.7%) included physically inactive individuals with high screen time. It was associated with lower education level (odds ratio [OR] = 1.6) and higher likelihood of obesity (OR = 2.4). Clusters 2 (22.2%) and 3 (16.1%) included women performing multiple PA of high or low duration, respectively. In men, cluster 1 (39.9%) included individuals with low PA level and high screen time. It was associated with younger age (OR = 3,9), obesity (OR = 2.5), single life (OR = 0.3), and urban residence (OR = 0.5). Cluster 2 (43.1%) included men performing mainly walking, cycling, DIY, and gardening and cluster 3 (17.0%) men with multiple PAs, both with low screen time.</p><p><strong>Conclusions: </strong>In both sexes, the pattern including inactivity or low PA and high sedentary behavior was associated with obesity. Other patterns differed according to sex. The findings can guide targeted interventions to promote healthy behaviors, considering sex differences.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-10"},"PeriodicalIF":2.9,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144618688","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":"Effect of Components and Delivery Modes of Digital Health Interventions Targeting Physical Activity in People With a Chronic Condition or Multimorbidity: A Systematic Review and Component Network Meta-Analysis of Randomized Controlled Trials.","authors":"Nikolaj Nøhr, Graziella Zangger, Frederik Buch Dalum, Søren T Skou, Carsten Juhl, Alessio Bricca","doi":"10.1123/jpah.2025-0014","DOIUrl":"https://doi.org/10.1123/jpah.2025-0014","url":null,"abstract":"<p><strong>Background: </strong>Digital health interventions targeting physical activity in individuals with chronic conditions are increasingly common. However, the effectiveness of their components and delivery modes remains unclear. This review assessed the effects of intervention components to guide future approaches.</p><p><strong>Methods: </strong>A systematic review and component network meta-analysis of randomized controlled trials was conducted. MEDLINE, Embase, CINAHL, and Cochrane Central Register of Controlled Trials were searched up to March 14, 2024. Random effects models, subgroup analyses, sensitivity analyses, and meta-regression were performed. The Confidence in Network Meta-Analysis framework was used to assess the certainty of the evidence.</p><p><strong>Results: </strong>A total of 137 randomized controlled trials (18,443 participants) were included. Exercise combined with self-management was more effective than usual care (standardized mean differences [SMD]: 0.39; 95% CI, 0.20-0.58) and minimal self-management (SMD: 0.41; 95% CI, 0.23-0.60), as was self-management alone compared with usual care (SMD: 0.27; 95% CI, 0.17-0.37), and minimal self-management (SMD: 0.29; 95% CI, 0.17-0.42). Interventions using mixed technologies (eg, apps with phone calls or devices) (SMD: 0.35; 95% CI, 0.26-0.44), web/app platforms (SMD: 0.32; 95% CI, 0.18-0.45), and phone calls (SMD: 0.21; 95% CI, 0.07-0.36) were more effective than minimal or in-person controls. Type 2 diabetes patients showed the greatest increase in physical activity, while musculoskeletal conditions showed the least. Certainty of evidence was moderate for most comparisons, except for phone calls, which had low certainty.</p><p><strong>Conclusions: </strong>The most effective digital health interventions for promoting physical activity in individuals with chronic conditions include exercise combined with self-management, delivered via mixed technologies, or web/app platforms.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-9"},"PeriodicalIF":2.9,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144608640","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":"School Physical Activity Interventions for Children and Adolescents With Disability: Systematic Review and Meta-Analysis of Effects on Academic, Cognitive, and Mental Health Outcomes.","authors":"Angus A Leahy, Katie Robinson, Narelle Eather, Jordan J Smith, Charles H Hillman, Sam Beacroft, Emiliano Mazzoli, David R Lubans","doi":"10.1123/jpah.2025-0052","DOIUrl":"https://doi.org/10.1123/jpah.2025-0052","url":null,"abstract":"<p><strong>Background: </strong>Schools are ideal settings for physical activity promotion; however, children and adolescents with disability have largely been neglected in school-based health promotion efforts. This review examines the effects of school-based physical activity interventions on academic, cognitive, and mental health outcomes of children and adolescents living with any type of disability (eg, intellectual, physical, behavioral).</p><p><strong>Methods: </strong>Six databases (PubMed, PsycINFO, Scopus, MEDLINE, SPORTDiscus, and Embase) were searched from inception to September 2024. Studies were included if they: (1) examined children or adolescents (5-18 y) living with disability, (2) included an experimental or quasi-experimental study design, (3) delivered a school-based physical activity intervention, and (4) examined at least one academic, cognitive, or mental health outcome. Multilevel meta-analyses were conducted to examine intervention effects. Prespecified moderators were also examined.</p><p><strong>Results: </strong>Thirty-three studies involving 1454 children and adolescents living with disability were included. Significant effects were found for cognitive (g = 0.42; 95% CI, 0.22 to 0.62) and mental health (g = 0.57; 95% CI, 0.21 to 0.94) outcomes, but not for academic outcomes. Disability classification, intervention length, and physical activity type significantly moderated intervention effects.</p><p><strong>Conclusions: </strong>School-based physical activity programs for children and adolescents with disability can improve measures of cognition and mental health, but not academic performance. Most studies examined children with attention-deficit/hyperactivity disorder, and few were conducted with adolescents which may limit generalizability of study findings. More high-quality research with robust study designs and larger more diverse samples are needed.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-12"},"PeriodicalIF":2.9,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144608641","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":"Chance or Strategy? Assessing the Unanticipated Policy Window for Active Transportation During the COVID-19 Pandemic: A Systematic Review.","authors":"Katja Siefken, Michael Pratt, Juliana Mejía-Grueso, Adrian Bauman, Deborah Salvo, Catherine B Woods, Wanda Wendel-Vos, Justin Richards, J Jaime Miranda, Pedro C Hallal, Andrea Ramírez Varela","doi":"10.1123/jpah.2024-0489","DOIUrl":"https://doi.org/10.1123/jpah.2024-0489","url":null,"abstract":"<p><p>Physical activity (PA) policy is essential for promoting population-level PA by coordinating efforts across various sectors. Global crises like the COVID-19 pandemic can open policy windows, enabling rapid implementation of innovative policies. This study examined how policy windows shaped active transportation (AT) policies during the pandemic, resulting in infrastructural changes.</p><p><strong>Methods: </strong>A systematic review using PubMed, Scopus, ProQuest-Coronavirus Research Database, Web of Science, WHO COVID-19 Research Database, PsycInfo, and SPORTDiscus conducted to characterize AT policy during the pandemic (2020-2023). Descriptive analyses were conducted in Stata. PROSPERO registration number: CRD42025644930.</p><p><strong>Results: </strong>The search retrieved 3879 articles; 1162 were duplicates, leaving 2716 eligible. After applying inclusion and exclusion criteria, 14 were selected for data extraction. Findings demonstrate the pandemic's influence on AT policy implementation and its impact on the built environment, such as the creation of bicycle lanes and pedestrian-friendly spaces. While these policies indirectly impacted PA, many were transient and unintended. Regional disparities in case-study cities highlighted mobility alternatives to mitigate SARS-CoV-2 transmission. Enablers and challenges for effective policy implementation were identified.</p><p><strong>Conclusion: </strong>The pandemic catalyzed global AT policies, demonstrating that urgency and political willpower can expedite policy enactment. Rapid urban infrastructure changes highlighted the potential for swift policy implementation during health emergencies, facilitating utilitarian PA. AT emerged as a practical solution, allowing essential movement. Addressing the immediate crisis proved more effective in implementing AT policies than prepandemic efforts focused on the physical inactivity's health burden. Understanding local sustainability determinants can inform future urban planning for integrating AT initiatives sustainably.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-11"},"PeriodicalIF":2.9,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144608639","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":"Adherence to 24-Hour Movement Guidelines and Behavioral Health in Children With Attention Deficit Hyperactivity Disorder in the United States.","authors":"McKenna Parnes, Erin Gonzalez, Nguyen Tran, Mark A Stein, Jason Mendoza, Pooja Tandon","doi":"10.1123/jpah.2024-0497","DOIUrl":"https://doi.org/10.1123/jpah.2024-0497","url":null,"abstract":"<p><strong>Background: </strong>Attention deficit hyperactivity disorder (ADHD) is a 24-hour disorder that both impacts, and, is impacted by, daily activity and sleep. Children with ADHD are less likely to meet recommended 24-hour movement guidelines (ie, on average 60 min of moderate to vigorous physical activity and several hours of light activity per day, less than 2 h of screen time, and 9-11 h of sleep). The current study examined associations between meeting 24-hour movement guidelines with ADHD symptoms, sleep problems, and media use.</p><p><strong>Methods: </strong>Accelerometer data measured physical activity and sleep among a sample of 93 children with ADHD (mean age = 8.10, SDage = 1.37, 58.9% male). Parent-report measures assessed ADHD symptoms, sleep difficulties, and media use. Multivariate analysis of covariance analyses explored associations between meeting 24-hour movement guidelines and outcomes. Latent class analysis (LCA) identified unique combinations of 24-hour movement guideline adherence. Associations were examined between classes and outcomes.</p><p><strong>Results: </strong>Overall, 41.5% of children met physical activity guidelines, 23.4% met sedentary behavior guidelines, and 45.7% met sleep guidelines. Multivariate analysis of covariance analyses found that meeting more guidelines was associated with less sleep difficulties and problematic media use. LCA revealed 2 classes: Hypoactive children who were unlikely to meet activity guidelines and Work Hard, Play Hard children who were likely to meet activity and sleep guidelines. Children in the Work Hard, Play Hard class had less bedtime resistance compared with the Hypoactive class.</p><p><strong>Conclusion: </strong>Findings have implications for clinicians and caregivers supporting children with ADHD to take a holistic approach to improve health behaviors throughout the whole day.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-10"},"PeriodicalIF":2.9,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144608638","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":"Primary Health Care Costs Associated With Trajectories of Physical Activity Over 10 Years.","authors":"Jamile Sanches Codogno, Wendy J Brown, Bruna Camilo Turi-Lynch, Luana Carolina de Morais, Ítalo Ribeiro Lemes, Henrique Luiz Monteiro, Gregore Iven Mielke","doi":"10.1123/jpah.2025-0047","DOIUrl":"https://doi.org/10.1123/jpah.2025-0047","url":null,"abstract":"<p><strong>Background: </strong>The aim of this study was to investigate whether health care costs were influenced by trajectories of physical activity (PA) over a 10-year period.</p><p><strong>Methods: </strong>Five hundred and forty-one users of primary health care services in Brazil were followed from 2010 to 2020. PA (questionnaire) was assessed every 2 years. The score of PA was used in latent class trajectory models, and 4 trajectories were chosen: (1) low (participants who started and finished the follow-up with the lowest PA values), (2) moderate (participants who started with moderate PA levels and had a slight decrease), (3) decreasing (participants who showed a marked decrease), and (4) high (participants who started and finished with the highest PA levels). Health care costs were retrieved from medical records. Quantile regression was performed to compare costs according to trajectories of PA.</p><p><strong>Results: </strong>Median values of PA scores decreased over time in all groups, but this was more evident in the Decreasing group (54% decline). Costs in each year became more highly skewed over time, with very high maximum costs (approximately US$ 200) noted in the Low and Decreasing groups. Moderate and High groups had lower costs than the Low group in both the median and 90th percentile analyses. Using the median data, compared with costs in the Low group, costs were reduced by 26% and 43% in the Moderate and High groups, respectively. In the 90th percentile, these reductions were 48% and 55%, respectively.</p><p><strong>Conclusion: </strong>The achieving and maintaining of moderate or high PA levels over 10 years was associated with significant cost savings.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-8"},"PeriodicalIF":2.9,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144591496","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":"The Relationship Between Working From Home and Physical Behavior: A Systematic Review.","authors":"Svenja Sers, Alexander Woll, Hagen Wäsche","doi":"10.1123/jpah.2024-0846","DOIUrl":"https://doi.org/10.1123/jpah.2024-0846","url":null,"abstract":"<p><strong>Background: </strong>Empirical evidence shows that physical activity, sedentary behavior, and sleep influence human health. In light of the current shift toward new work environments (eg, the home environment) and the interplay between the environment and human health behavior, this systematic review synthesizes evidence on the relationship between working from home and physical behavior (ie, physical activity, sedentary behavior, sleep).</p><p><strong>Methods: </strong>A systematic electronic search was conducted without date restriction until April 2023 in the 3 databases Scopus, Web of Science, and PubMed. Titles, abstracts, and full texts were screened independently by 2 reviewers. An effect direction plot was created to synthesize the results of the included studies. Study quality was assessed using the Effective Public Health Practice Project tool.</p><p><strong>Results: </strong>In total, 15 studies that examined the relationship between working from home and physical behavior were identified with most studies focusing solely on the relationship between working from home and one aspect of physical behavior (either physical activity, sedentary behavior, or sleep). Results of the effect direction plot suggest convincing evidence for a negative relationship between working from home and physical activity, no evidence for a relationship between working from home and sedentary behavior, and possible evidence for a positive relationship between working from home and sleep. An overall low quality of studies investigating the relationship between working from home and physical behavior was revealed.</p><p><strong>Conclusions: </strong>The present review highlights several methodological issues within this emerging field of research. Future research should focus on stronger study designs (eg, longitudinal study designs) that integrate the reliable and valid assessment of all dimensions of physical behavior, optimally using device-based measures (eg, accelerometers), to account for their co-dependency across the 24-hour cycle when working from home.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-17"},"PeriodicalIF":2.9,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144591497","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":"Moving Minds: How to Prescribe Physical Activity for Schizophrenia.","authors":"Carl Zhou, Brendon Stubbs, Nicholas Fabiano","doi":"10.1123/jpah.2025-0393","DOIUrl":"https://doi.org/10.1123/jpah.2025-0393","url":null,"abstract":"<p><p>Schizophrenia is a chronic psychiatric disorder marked by hallucinations, delusions, cognitive deficits, and functional decline. Despite pharmacologic advances, many individuals experience persistent symptoms, significant metabolic side effects, reduced quality of life, and elevated cardiovascular mortality. Physical activity (PA) is increasingly recognized as an effective adjunctive intervention for both psychiatric and physical health outcomes in this population. Aerobic exercise can enhance cognition, reduce symptom severity, and counteract metabolic complications from antipsychotic medications. However, individuals with schizophrenia often have low PA levels due to motivational, cognitive, and physical barriers. Exercise adherence, like medication adherence, requires structure, empathy, and individualized planning. The FITT framework (Frequency, Intensity, Time, and Type) offers a practical guide for prescribing PA tailored to individual capacity and preferences. Most effective programs, include moderate to vigorous aerobic activity, 90 to 150 minutes weekly, in 30 to 60 minutes sessions, often delivered in supervised or group settings. Importantly, most exercise professionals have minimal or no training in supporting individuals with schizophrenia and require guidance to do so safely and effectively. Overcoming barriers, such as sedation, anxiety, and cognitive impairment through supervision, motivational interviewing, and adaptive programming is essential. With appropriate support and monitoring, PA can be a safe, scalable, and holistic strategy to improve outcomes in schizophrenia. This editorial outlines evidence-based recommendations to help exercise professionals and clinicians incorporate PA into standard care.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-3"},"PeriodicalIF":2.9,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144591514","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":"Two-by-Two Framework for Physical Activity Environments in the 2023 Japanese Physical Activity Guidelines.","authors":"Shiho Amagasa, Ding Ding, James F Sallis, Hiroyuki Kikuchi, Susumu S Sawada, Shigeru Inoue","doi":"10.1123/jpah.2025-0345","DOIUrl":"https://doi.org/10.1123/jpah.2025-0345","url":null,"abstract":"","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-3"},"PeriodicalIF":2.9,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144591498","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":"https://doi.org/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":"1-11"},"PeriodicalIF":2.9,"publicationDate":"2025-07-08","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}