Journal of physical activity & health最新文献

{"title":"Erratum. 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":"","doi":"10.1123/jpah.2025-0581","DOIUrl":"10.1123/jpah.2025-0581","url":null,"abstract":"","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1"},"PeriodicalIF":2.6,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144873714","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. Characterization of Physical Activity Levels in Female Breast Cancer Survivors: Relationship With Lymphedema (AtiLinf).","authors":"","doi":"10.1123/jpah.2025-0572","DOIUrl":"10.1123/jpah.2025-0572","url":null,"abstract":"","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1"},"PeriodicalIF":2.6,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144855615","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":"Characterization of Physical Activity Levels in Female Breast Cancer Survivors: Relationship With Lymphedema (AtiLinf).","authors":"Alice Ralheta Duarte, Carla Martinho Neto, Leonor Prates, Pablo Lobo, Maria Teresa Tomás","doi":"10.1123/jpah.2024-0509","DOIUrl":"10.1123/jpah.2024-0509","url":null,"abstract":"<p><p>The development of lymphedema (LE) is a major concern in breast cancer treatment, and it is crucial to understand the best ways to prevent and treat it. Physical activity has shown to be effective, safe, and feasible in controlling complications arising from treatments, as well as improving function and quality of life in breast cancer survivors. This study aimed to investigate the relationship between physical activity with grip strength and LE development in breast cancer survivors. A cross-sectional analytical study was conducted and women who had survived breast cancer between 1 and 5 years after surgery were selected. Participants completed the International Physical Activity Questionnaire Short Form, the volume of upper limb (UL) was measured by perimetry, handgrip strength was assessed with the JAMAR dynamometer, and the Actigraph accelerometer was placed on the waist. It was found that 50% of the sample was overweight, 28.3% were obese, and 52% of the participants had grip strength below the recommended level. They had an average energy expenditure of 1.2 (0.1) metabolic equivalents, 8.3 (1.8) hours/day of sedentary activity, and spent an average of 61% of their awake time in sedentary activity per day. Significant correlations were found between grip strength on the affected side and the difference in volume between the UL (rp = -.303, P = .041) as well as between body mass index (BMI) and the difference in volume between the UL (rp = .341; P = .020). Moreover, a significant correlation between BMI and the volume of the affected UL was found (rp = .848, P = .000). BMI and grip strength of the affected side were identified as significant predictors of LE, both with P values less than .05. Although physical activity cannot directly prevent LE, it may contribute by helping to control BMI and promote higher levels of grip strength, both of which are important factors in the prediction of LE.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1117-1123"},"PeriodicalIF":2.6,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144584254","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":"Normative Peak Physical Activity Values for Monitor-Independent Movement Summary Units: National Health and Nutrition Examination Survey 2011-2014.","authors":"Scott W Ducharme, James D Pleuss, Dusty S Turner, Peixuan Zheng, Israel I Adandom, Elroy J Aguiar","doi":"10.1123/jpah.2025-0182","DOIUrl":"10.1123/jpah.2025-0182","url":null,"abstract":"<p><strong>Background: </strong>The most recent physical activity (PA) monitor data from the US National Health and Nutrition Examination Survey (NHANES) were processed using a novel monitor-independent movement summary (MIMS) algorithm. To date, few studies have utilized these data, likely due to a general unfamiliarity with MIMS-related metrics. The purpose of this study was to establish normative values for peak MIMS metrics as measures of free-living PA intensity and natural ambulatory effort.</p><p><strong>Methods: </strong>Data from the National Health and Nutrition Examination Survey 2011-2012 and 2013-2014 survey cycles were used, including 8729 individuals aged 20-80+ years. MIMS data were obtained from wrist-worn accelerometers worn for at least 1 valid day (<5% nonwear time per day). Peak-1MIMS (ie, the highest 1-min MIMS value within a day) and Peak-30MIMS (ie, the average of the 30 highest 1-min MIMS values) were obtained, averaged across all valid days, and reported as sample-weighted means (95% confidence intervals), and across 5th to 95th percentiles.</p><p><strong>Results: </strong>Mean (95% confidence interval) values for Peak-1MIMS and Peak-30MIMS were 59.9 (59.2-61.6) and 42.9 (42.4-43.3) MIMS/minute, respectively. Both peak metrics declined across the adult lifespan. Men displayed greater Peak-1MIMS, while Peak-30MIMS was similar between sexes. Both MIMS metrics trended lower with increasing body mass index.</p><p><strong>Conclusion: </strong>We provide normative values for peak MIMS metrics which reflect PA intensity/effort. We also developed an R-Shiny App whereby users can input age, sex, body mass index category, and MIMS metrics to determine individual-specific MIMS percentile values. Given the universal nature of the MIMS algorithm, these population representative data may be useful as a reference data set for device-based PA surveillance within the United States and for comparison globally.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1297-1306"},"PeriodicalIF":2.6,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144847134","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":"Physical Activity and Climate Change: A Content Analysis of National Adaptation Plans for Climate Adaptation for Low- and Middle-Income Countries.","authors":"Raúl D Gierbolini-Rivera, Amy Eyler, Milena Franco Silva, Ana Luiza Favarão Leão, Helen Etya'ale, Rodrigo Siqueira Reis","doi":"10.1123/jpah.2024-0691","DOIUrl":"https://doi.org/10.1123/jpah.2024-0691","url":null,"abstract":"<p><strong>Background: </strong>Climate change and physical inactivity are significant health challenges. While physical activity's role in climate change mitigation is recognized, its contribution to climate change adaptation remains underexplored. This study aimed to identify physical activity in National Adaptation Plans (NAPs) for low- and middle-income countries and common sectors benefiting climate change adaptation and promoting physical activity.</p><p><strong>Methods: </strong>This study used the United Nations Framework Convention on Climate Change \"NAP Central\" registry, analyzing 50 NAPs from low- and middle-income countries adopting a summative/conceptual content analysis approach. Data collection consisted of identifying keywords related to physical activity and built environments in the NAPs, analyzing sectors related to the keywords to assess their role in climate change adaptation.</p><p><strong>Results: </strong>Summative content analysis of 50 NAPs found \"transportation\" as the keyword most mentioned (N = 41) across all income categories and \"sidewalk\" and \"walkability\" being least mentioned (N = 3 each). \"Sport\" was the most common among physical activity keywords (N = 8), followed by \"cycling\" (N = 4) and \"physical activity\" (N = 3). \"Physical conditioning\" and \"exercise\" were the least mentioned (N = 1 each). The \"transportation\" sector prevailed (N = 33), contrasting with \"health,\" the least prevalent sector (N = 7). Most countries targeted 2030 for NAP goals (n = 41). Conceptual content analysis stressed transportation planning, green spaces, and active transportation in climate adaptation.</p><p><strong>Conclusion: </strong>As climate change continues to accelerate, synergistic strategies addressing physical activity and climate change are needed. Further studies are crucial to explore NAP implementation and evaluation in low- and middle-income countries, enhancing understanding of climate change adaptation's impact on health and physical activity.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-11"},"PeriodicalIF":2.6,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144835462","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":"Higher Physical Activity Level is Associated With Increased Well-being and Better Mental Health in Women up to 4 Years Postpartum: A Cohort Study.","authors":"Marthe Brandtzæg, Kjersti Karoline Danielsen, Nina Cecilie Øverby, Christine Helle, Andrew Keith Wills, Silje Halvorsen Sveaas","doi":"10.1123/jpah.2024-0654","DOIUrl":"https://doi.org/10.1123/jpah.2024-0654","url":null,"abstract":"<p><strong>Background: </strong>Many women reduce physical activity (PA) level during pregnancy, which may contribute to increased risk of mental health challenges. The aim was to describe changes in PA levels in women over a 4-year postpartum period and to investigate associations between PA level and mental health.</p><p><strong>Methods: </strong>Seven hundred fifteen Norwegian women recruited from child health centers and social media completed web questionnaires. PA was measured 5, 12, 24, and 48 months postpartum as frequency per week (>30 min short of breath/sweating): <1/week, 1 to 2/week, and ≥3/week. Mental health was measured 5, 12, and 24 months postpartum and included psychological distress, self-efficacy, joy/anger, and depression. Change in PA levels was analyzed with Friedman test using longitudinal data, and associations were analyzed with multiple linear/logistic regression using cross sectional data.</p><p><strong>Results: </strong>In the 207 women completing all PA measurements, the levels showed a consistent pattern throughout the period. On a group level, there was a decrease in PA frequency from 5 to 12 months (P < .001) and an increase from 12 to 24 months (P = .024). Higher PA levels were associated with increased joy (β = 0.17; 95% CI, 0.04-0.31; P = .012) and self-efficacy (β = 0.25; 95% CI, 0.12-0.39; P < .001) 5 months postpartum and reduced depression symptoms (β = -0.16; 95% CI, -0.30 to -0.01; P = .036) and risk of psychological distress (odds ratio = 0.27; 95% CI, 0.09-0.79; P = .017) 12 months postpartum.</p><p><strong>Conclusion: </strong>Most of the women had a low PA level postpartum, and the levels showed a consistent pattern throughout the period. The findings indicated that higher levels of PA were associated with better mental health in postpartum women.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-9"},"PeriodicalIF":2.6,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144804365","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":"Association Between Total Daily Sedentary Time and Cardiometabolic Biomarkers in Older Adults: A Systematic Review and Meta-Analysis.","authors":"Rebecca L Jones, Daniel L Cooper, Julia K Zakrzewski-Fruer, Daniel P Bailey","doi":"10.1123/jpah.2025-0100","DOIUrl":"10.1123/jpah.2025-0100","url":null,"abstract":"<p><strong>Background: </strong>Older adults engage in the highest levels of sedentary behavior across all age groups. Yet, the extent to which sedentary time is associated with cardiometabolic health in older adults is unclear. This systematic review and meta-analysis examined associations between daily sedentary time and cardiometabolic biomarkers in older adults.</p><p><strong>Methods: </strong>Peer-reviewed articles which studied the association between daily sedentary time and ≥1 cardiometabolic biomarker in participants aged ≥60 years were eligible. Five electronic databases (PubMed, CINAHL, MEDLINE, Web of Science, and PsycINFO) were searched. Screening, data extraction, and study quality were undertaken independently by 2 reviewers. Meta-analyses were undertaken using random-effects models based on correlation and regression coefficients. Methodological quality was assessed using the Joanna Briggs Institute checklist.</p><p><strong>Results: </strong>Twenty-eight articles were included with sample sizes ranging from 30 to 62,754 participants. Increasing daily sedentary time was adversely associated with body mass index (Hedge g: 0.32; P = .001), waist circumference (Hedge g: 0.45; P < .001), body fat percentage (Hedge g: 0.61; P = .012), and fat mass (Hedge g: 0.30; P = .018). There were also unfavorable associations with systolic blood pressure (Hedge g: 0.37; P = .047), blood glucose (Hedge g: 0.30; P = .044), triglycerides (Hedge g: 0.36; P = .039), and high-density lipoprotein cholesterol (Hedge g: 0.34; P = .034).</p><p><strong>Conclusions: </strong>Increased daily sedentary time is adversely associated with body composition, systolic blood pressure, and blood biomarkers in older adults. Therefore, limiting sedentary behavior should be considered an important target in this population group for improved cardiometabolic health.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1086-1105"},"PeriodicalIF":2.6,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144804363","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":"Enhancing Cognitive Function and Well-being in Older Adults With Cognitive and Physical Decline: A Meta-analysis of Randomized Controlled Trials Examining Physical Activity Interventions.","authors":"Jing-Yu Chang, Kuei-Ru Chou, Yu-Ling Chang, Wen-Yan Lin, Huei-Ling Chiu, Yu-Chi Liao, Cheng-Ta Yang","doi":"10.1123/jpah.2025-0401","DOIUrl":"https://doi.org/10.1123/jpah.2025-0401","url":null,"abstract":"<p><strong>Background: </strong>Cognitive frailty, defined by the coexistence of physical frailty and mild cognitive impairment, can be reversed through targeted interventions. This meta-analysis evaluated the efficacy of physical activity interventions on cognitive function and well-being in older adults with frailty.</p><p><strong>Methods: </strong>The databases (ProQuest, PubMed, CINAHL Ultimate, and Scopus) and Google Scholar were searched to identify relevant articles published from 1990 to March 2025. Our analyses included randomized controlled trials evaluating the effects of physical activity interventions on cognitive function and well-being in older adults with cognitive or physical frailty.</p><p><strong>Results: </strong>Forty-two randomized controlled trials involving 4740 older adults were included. The meta-analysis categorized interventions into multicomponent exercise, resistance training, aerobic exercise, and mindfulness-based activities. Physical activity interventions produced small-to-moderate improvements in global cognition (g = 0.442), attention (g = 0.267), and executive function (g = 0.279). No significant effect was found for memory (g = -0.020). Moderate effects were observed for physical health-related quality of life (g = 0.600), and moderate-to-large effects were found for psychological well-being (g = 0.710).</p><p><strong>Conclusions: </strong>Multicomponent and resistance-based programs are effective strategies to promote cognitive function, psychological well-being, and physical health-related quality of life in older adults with frailty. Tailored physical activity programs should be considered in geriatric care to optimize healthy aging.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-12"},"PeriodicalIF":2.6,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144804364","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":"Investigating Links Between Urban Residential Streetscapes and Physical Activity Using Deep Learning of Google Street View Imagery Applied to the Washington State Twin Registry.","authors":"Bethany D Williams, Ofer Amram, Andrew Larkin, Glen E Duncan, Ally R Avery, Perry Hystad","doi":"10.1123/jpah.2024-0769","DOIUrl":"https://doi.org/10.1123/jpah.2024-0769","url":null,"abstract":"<p><p>The evidence linking urban greenspace to individual's physical activity (PA) levels is mixed. This study examines relationships between street-level and satellite-derived greenspace measures with PA outcomes. Our sample included 7855 adult twins enrolled in the Washington State Twin Registry from 2009 to 2020 living in urban areas; 14,095 total survey observations were analyzed. We applied a deep learning segmentation algorithm to Google Street View images sampled from 100 m around residential addresses to quantify street-level greenspace. Bouts and duration of PA, including moderate to vigorous PA and neighborhood walking were self-reported. We applied mixed-effects linear regression models to determine relationships between greenspace measures and PA outcomes, overall and stratified by residential population density. Adjusted models included age, body mass index, sex, race, education, income, neighborhood deprivation, urban sprawl, and seasonality. A series of sequential models was constructed to test associations between various greenspace exposures and PA outcomes. Overall, we found no consistent associations between greenspace exposures and PA outcomes. We found that the summer normalized difference vegetation index was associated with an increase in moderate to vigorous PA in low population density areas, but this was not significant when controlling for seasonality. Both Google Street View and normalized difference vegetation index were associated with lower total walking for those residing in areas with high population density only. Findings highlight the importance of seasonality and the need to address where PA is actually done.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-9"},"PeriodicalIF":2.6,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144799457","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":"Increasing Physical Activity Among North American Sexual/Gender Diverse Adults: A Socioecological Approach.","authors":"Keegan T Peterson, Melissa Bopp","doi":"10.1123/jpah.2025-0138","DOIUrl":"https://doi.org/10.1123/jpah.2025-0138","url":null,"abstract":"<p><strong>Background: </strong>Sexual and/or gender diverse (nonheterosexual, non-cisgender; SGD) adults continue to report high rates of chronic condition incidence and prevalence, and reduced rates of physical activity (PA). However, interventions tailored to SGD individuals remain limited. This study sought to determine the effect of each level of socioecological model (SEM), (eg, individual, social, community/institution, environment) associated with meeting PA guidelines to inform intervention approaches.</p><p><strong>Methods: </strong>Participants across North America (N = 300, non-Hispanic White [69.7%], cis-gendered women [40.7%], queer [38.3%], 18-34 y old [70.7%]) self-reported their current PA levels and PA correlates at each level of the SEM using multiple validated survey instruments via an online, anonymous survey. SEM level-specific survey instruments were combined to create a composite score for analyses. A hierarchical logistic regression was used to predict likelihood of meeting PA guidelines with each additional step adding a level of the SEM. Race/ethnicity, gender identity, sexual orientation, and income served as confounders.</p><p><strong>Results: </strong>Each step in the model was significant; the level-specific correlates were significant predictors of meeting PA guidelines. In the final model (χ2[16] = 74.13, P < .001, R2 = .303), and across each model, general (B = 0.148, P < .001, odds ratio = 1.16) correlates at the individual level were significant predictors of higher odds of meeting PA guidelines.</p><p><strong>Conclusion: </strong>Tailored PA interventions should emphasize individual correlates of PA, in tandem with other SEM levels of influence to promote effective behavior change. Without intervention, SGD individuals may continue to experience chronic conditions at a higher rate compared with their peers.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-8"},"PeriodicalIF":2.6,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144799456","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}