Journal of physical activity & health最新文献

{"title":"Efficacy of a Multicomponent Physical Activity Intervention for Teachers With or At Risk of Type 2 Diabetes: The Support, Motivation, and Physical Activity Research for Teachers Health Randomized Controlled Trial.","authors":"Ronald C Plotnikoff, Maria Murphy, Magdalena Wilczynska, Kerry S Courneya, Wendy J Brown, Ronald J Sigal, David R Lubans","doi":"10.1123/jpah.2024-0195","DOIUrl":"https://doi.org/10.1123/jpah.2024-0195","url":null,"abstract":"<p><strong>Background: </strong>Type 2 diabetes is a major cause of illness and disability and physical activity reduces these risks. The SMART Health study aim was to compare the efficacy of a multicomponent intervention to promote aerobic physical activity and resistance training in schoolteachers at risk of or diagnosed with type 2 diabetes, with and without a technology-based behavior change package.</p><p><strong>Methods: </strong>We randomized participants (N = 104) into 3 groups: \"wait-list\" control group, 5 face-to-face visits with a psychologist and exercise specialist (SH group), or 5 face-to-face visits over a 3-month period with a psychologist and exercise specialist, plus a technology-based behavior change package for an additional 6 months (SH+ group). Physical activity was the primary outcome (daily steps measured by pedometers). Systolic and diastolic blood pressure, waist circumference, body mass index, fasting blood glucose, glycosylated hemoglobin, plasma lipids, self-reported resistance training, anxiety and depression were also assessed at 3 and 9 months (primary time point). Linear mixed models were used to assess the intervention efficacy of SH and SH+ compared with wait-list control.</p><p><strong>Results: </strong>There were no significant group-by-time effects for steps in the SH or SH+ groups compared to the wait-list control group. Self-reported participation in monthly minutes of resistance training significantly increased at 3-month postbaseline in both groups (SH: 136 min, P < .01, d = 0.33 and SH+: 145 min P < .001, d = 0.4) versus the control group. The improvements were maintained for the SH group at 9 months. There was also a meaningful effect (P < .06, d = -0.23) for reducing anxiety for SH group at 9 months.</p><p><strong>Conclusions: </strong>SMART Health was a feasible, multicomponent intervention, which increased self-reported resistance training but no other secondary outcomes.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-13"},"PeriodicalIF":2.9,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142822111","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":"Public Health and School Health Partnership for a Web-Based Physical Activity Resource.","authors":"Kristen Welker, Carol Cox","doi":"10.1123/jpah.2024-0470","DOIUrl":"https://doi.org/10.1123/jpah.2024-0470","url":null,"abstract":"<p><strong>Background: </strong>With physical activity levels in children and youth decreasing as their obesity rates rise, collaborations between public health and school health professionals for physical activity interventions are recommended. Physical activity interventions at the school site and those with community involvement in program planning have demonstrated positive outcomes.</p><p><strong>Methods: </strong>As schools are a vital part of community physical activity promotion for students, public health and school health partners in one state created a brain energizers/movement integration website to support 2 components of a comprehensive school physical activity program: \"Physical activity integrated into the school day\" and \"Staff involvement.\" This study presents a process evaluation and level of utilization assessment of a public health, web-based resource for physical activity promotion in the elementary school for students aged 6-12 years. Web links were sent to all members of a statewide school nurse association, and 269 school nursing staff responded to an online survey evaluating the website.</p><p><strong>Results: </strong>About 40% of respondents used and shared the site with other teachers/staff at their schools, and the activities and videos were stated as the greatest benefits.</p><p><strong>Conclusions: </strong>Public health and education sectors can collaborate within comprehensive school physical activity programs to provide movement integration resources for students to meet physical activity goals. School nurses can encourage physical activity during the school day and staff involvement by promoting both the health promotion and educational benefits of movement integration and physically active learning.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-5"},"PeriodicalIF":2.9,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818477","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":"Differential Exercise Requirements for Nonalcoholic Fatty Liver Disease Resolution Across Age Groups: A Longitudinal Study of Korean Military Officers.","authors":"Jaejun Lee, Dong Yeup Lee, Jae Hyeop Jung, Eunkyoung Bae, Jeong A Yu, Hyun Yang","doi":"10.1123/jpah.2024-0334","DOIUrl":"https://doi.org/10.1123/jpah.2024-0334","url":null,"abstract":"<p><strong>Background: </strong>Nonalcoholic fatty liver disease (NAFLD) is a global health concern, and despite its high prevalence, lifestyle modifications such as exercise play a pivotal role in resolving this condition. This study aims to identify factors associated with NAFLD resolution, with a focus on the role of exercise, in different age groups.</p><p><strong>Methods: </strong>Longitudinal data from Korean military officers, during the period 2019-2021, were obtained from the National Health Information Database. NAFLD was defined as a hepatic steatosis index ≥36, and NAFLD resolution was defined as individuals achieving hepatic steatosis index <36 in the subsequent year of diagnosis. Information on alcohol consumption, exercise frequency, and family history of diabetes was collected through self-reported questionnaires.</p><p><strong>Results: </strong>The analysis included a total of 163,728 individuals, with a mean age of 36.87, predominantly male (91.62%). The prevalence of NAFLD was 27.04%. Favorable factors for NAFLD resolution encompassed moderate-intensity exercise for more than 180 minutes per week, vigorous-intensity exercise for more than 90 minutes per week, female sex, age, and resistance exercise for more than 3 days per week. Hypertension, family history of diabetes, and smoking were identified as factors against NAFLD resolution. The exercise requirements for NAFLD resolution varied among age groups, with those <30 years old requiring more than 180 minutes per week of moderate- or vigorous-intensity exercise and those >50 years old needing only 90 minutes per week of such exercise.</p><p><strong>Conclusion: </strong>The exercise requirements for NAFLD resolution exhibit age-related differences. Individualized guidance for NAFLD management should consider these variations and be tailored to specific age groups.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-11"},"PeriodicalIF":2.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813509","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":"Examining Whether Exercise Preference and Tolerance Moderate the Within-Subject Association Between Physical Activity Intention and Next-Day Moderate to Vigorous Physical Activity.","authors":"Kristen N Moore, Lori Hatzinger, Rachel Crosley-Lyons, Bridgette Do, Shirlene D Wang, Kelsey McAlister, Tiffany M Chapman, Micaela Hewus, Genevieve F Dunton","doi":"10.1123/jpah.2024-0269","DOIUrl":"https://doi.org/10.1123/jpah.2024-0269","url":null,"abstract":"<p><strong>Background: </strong>Physical activity (PA) intentions may predict future PA engagement, such that when intentions for PA are strong, an individual may be more likely to engage in PA compared with when intentions for PA are weak. However, intentions do not always translate into behavior, a phenomenon known as the intention-behavior gap. Individual differences in exercise preference (predisposition for high-intensity exercise) and tolerance (ability to continue exercising at higher intensity) may explain this gap. This study examined whether exercise preference and tolerance moderate the within-subject association between PA intention and next-day moderate to vigorous PA (MVPA) using ecological momentary assessment and accelerometry.</p><p><strong>Methods: </strong>Exercise preference and tolerance were assessed at baseline using a validated questionnaire. A 14-day smartphone-based ecological momentary assessment protocol captured PA intentions each evening, and next-day MVPA was assessed via accelerometry. Multilevel linear regression models (days [level 1] nested within-people [level 2]) assessed within-subject associations between PA intention and next-day MVPA, along with cross-level interaction effects of exercise preference and tolerance.</p><p><strong>Results: </strong>Data from 62 US adults (mean age = 39 y, SD = 4.29 y) were analyzed. A negative within-subject main effect of PA intention on next-day MVPA was observed (β = -0.20, P < .001), while exercise preference positively moderated this relationship (β = 0.04, P < .001). Exercise tolerance was not a significant moderator.</p><p><strong>Conclusions: </strong>Exercise preference may influence the intention-behavior gap, suggesting that those who prefer high-intensity exercise are more likely to translate PA intentions into next-day MVPA.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-7"},"PeriodicalIF":2.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813510","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":"Building Social Capital in University Students: A Physical Education Intervention Program.","authors":"Dario Novak, Tanja Petrušič, Marko Čule, Ivan Milinović, Jinseo Kim, Rockli Kim, S V Subramanian","doi":"10.1123/jpah.2024-0258","DOIUrl":"https://doi.org/10.1123/jpah.2024-0258","url":null,"abstract":"<p><strong>Background: </strong>This study examines the effects of physical education on the social capital of university students, focusing on improving family, neighborhood, and academic relationships through group exercise.</p><p><strong>Methods: </strong>In Zagreb, Croatia, 976 participants aged 19-20 years participated in a randomized controlled trial. The intervention group (n = 472) engaged in teamwork exercises, and the control group (n = 504) completed individual exercises. The social capital measured in 6 areas was analyzed using linear regression and variance modeling.</p><p><strong>Results: </strong>Significant improvements in trust and collaboration within the university environment were found in the intervention group. Adjusted analyses showed positive correlations between the physical education intervention and increased trust between teachers and students (β = 0.118, P = .01), among students (β = 0.246, P = .01), and in total social capital (β = 0.617, P = .01). Residence in the parental home was associated with higher social capital. Notably, male and older students reported lower levels of trust and cooperation.</p><p><strong>Conclusions: </strong>Physical activity significantly improves the social capital of university students, suggesting the inclusion of group-based physical activities in higher education curricula to promote social inclusion and well-being. This underscores the importance of such interventions for educational policy and program development.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-11"},"PeriodicalIF":2.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813446","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":"Smartphone Google Location History: A Novel Approach to Outdoor Physical Activity Research.","authors":"Ofer Amram, Olufunso Oje, Andrew Larkin, Kwadwo Boakye, Ally Avery, Assefaw Gebremedhin, Bethany Williams, Glen E Duncan, Perry Hystad","doi":"10.1123/jpah.2024-0360","DOIUrl":"https://doi.org/10.1123/jpah.2024-0360","url":null,"abstract":"<p><strong>Background: </strong>Outdoor physical activity (PA) is an important component of overall health; however, it is difficult to measure. Passively collected smartphone location data like Google Location History (GLH) present an opportunity to address this issue.</p><p><strong>Objectives: </strong>To evaluate the use of GLH data for measuring outdoor PA.</p><p><strong>Methods: </strong>We collected GLH data for 357 individuals from the Washington State Twin Registry. We first summarized GLH measurements relevant to outdoor PA. Next, we compared accelerometer measurements to GLH classified PA for a subset of 25 participants who completed 2 weeks of global positioning system and accelerometer monitoring. Finally, we examined the association between GLH measured walking and obesity.</p><p><strong>Results: </strong>Participants provided a mean (SD) average 52 (18.8) months of GLH time-activity data, which included a mean (SD) average of 2421 (1632) trips per participant. GLH measurements were classified as the following: 79,994 unique walking trips (11.6% of all trips), 564,558 (81.8%) trips in a passenger vehicle, 11,974 cycling trips (1.7%), and 890 running trips (0.1%). Sixty-two percent of these trips had location accuracy >80%. In the accelerometry evaluation, GLH walking trips had a corresponding mean vector magnitude of 3150 counts per minute, compared with 489 counts per minute for vehicle trips. In adjusted cross-sectional analyses, we observed an inverse association between both walking minutes and trips per month and the odds of being obese (odds ratio = 0.78; 95% CI, 0.60-0.96, and odds ratio = 0.91; 95% CI, 0.82-0.98, respectively).</p><p><strong>Conclusions: </strong>GLH data provide a novel method for measuring long-term, retrospective outdoor PA that can provide new opportunities for PA research.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-9"},"PeriodicalIF":2.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813528","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 Evidence Is Clear, Exercise Is Not Better Than Antidepressants or Therapy: It Is Crucial to Communicate Science Honestly.","authors":"Nicholas Fabiano, David Puder, Brendon Stubbs","doi":"10.1123/jpah.2024-0743","DOIUrl":"https://doi.org/10.1123/jpah.2024-0743","url":null,"abstract":"","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-2"},"PeriodicalIF":2.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813529","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":"Billing for Exercise Is Medicine: An Analysis of Reimbursement Trends for Physical Activity-Related Billing Codes.","authors":"Lucas J Carr, Britt Marcussen, Tyler Slayman, Yin Wu, Dale S Bond","doi":"10.1123/jpah.2024-0499","DOIUrl":"https://doi.org/10.1123/jpah.2024-0499","url":null,"abstract":"<p><strong>Background: </strong>Physical inactivity is a significant health risk factor linked to chronic diseases and premature death. To address this, initiatives like Exercise is Medicine® aim to promote physical activity in health care systems. However, integrating physical activity counseling into clinical practice faces barriers such as limited reimbursement. Understanding billing practices and reimbursement rates for physical activity counseling is crucial for its integration into health care.</p><p><strong>Methods: </strong>This study used 12 months of billing data from a large midwestern US hospital. Variables included charges, charge amounts, primary payors, reimbursement rates, and denial rates associated with International Classification of Diseases-10 diagnosis codes, and Evaluation and Management billing codes for physical activity counseling. Logistic regression analysis identified factors associated with denial rates.</p><p><strong>Results: </strong>Over 12 months, 19,366 lifestyle-related charges were submitted, totaling $7,842,845. Of these, 5.28% were denied, amounting to $414,446. The most common International Classification of Diseases-10 codes were \"obesity\" (38.8%) and \"sedentary lifestyle\" (32.6%), while the most common Evaluation and Management codes were for established outpatient office visits. Charges were mainly submitted to employer-paid insurance (43.5%), Medicaid (22.2%), and Medicare (21.9%). Higher odds of denial were associated with newer patients, shorter visit lengths, and the sedentary lifestyle code.</p><p><strong>Conclusion: </strong>This study provides novel data on the use, reimbursement, and denial rates of physical activity counseling billing codes in a large health care system. Physical activity counseling-related charges are rarely denied by third-party payors. Further research is needed to determine if these findings are generalizable to other US health care systems.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-6"},"PeriodicalIF":2.9,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807177","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":"Socioeconomic Status and Patterns of Physical Activity and Sedentary Behavior: A Cross-Sectional Analysis of the J-SHINE.","authors":"Munehiro Matsushita, Daisuke Takagi, Masamitsu Kamada","doi":"10.1123/jpah.2023-0138","DOIUrl":"https://doi.org/10.1123/jpah.2023-0138","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to examine the association between socioeconomic status (SES) and optimal movement behaviors including sufficient moderate-to-vigorous physical activity (PA), regular leisure-time PA, and less sedentary behavior.</p><p><strong>Methods: </strong>We used data from the Japanese Study on Stratification, Health, Income, and Neighborhood conducted in 2012. Activity patterns and SES were measured using International Physical Activity Questionnaire Short-Version and other self-administered questionnaires. Activity pattern outcomes assessed were sufficient total volume of moderate-to-vigorous PA (≥150 min/wk), regular leisure-time PA (≥1 d/wk), less sedentary time (≤4 h/d), and optimal movement behaviors (meeting all criteria). SES variables were equivalized annual income, educational attainment, and occupation. Logistic regression analysis adjusted for confounders.</p><p><strong>Results: </strong>We included 731 men and 852 women. Lower income levels were associated with less leisure-time PA among men and women (men, odds ratio [OR]: 0.60 and 0.65 for Q2 and Q1 [lowest], respectively; women, OR: 0.53 and 0.56 for Q2 and Q1 [lowest]). Lower SES groups associated with less sedentary time (men, OR: 1.82 for blue-collar; women, OR: 1.44 for Q1 income level, 1.61 and 1.53 for junior college, technical school, and high school/junior high school, respectively; 1.89 for unemployed). SES was not significantly associated with optimal movement behavior in both sexes (in men, OR for those with high school or junior high school education vs those with university or graduate school education = 0.81 [0.43-1.53]).</p><p><strong>Conclusion: </strong>Activity patterns varied by SES, with lower income associated with less leisure-time PA and white-collar workers associated with more prevalent sedentary behavior among both sexes.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-8"},"PeriodicalIF":2.9,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807183","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":"Temporal Decomposition Analysis of Noncommunicable Disease Burden: The Interplay of Population Aging, Population Growth, and Low Physical Activity, 2010-2019.","authors":"Ming Lu, Bin Lu, Le Wang","doi":"10.1123/jpah.2024-0201","DOIUrl":"https://doi.org/10.1123/jpah.2024-0201","url":null,"abstract":"<p><strong>Background: </strong>To analyze global trends in the noncommunicable diseases (NCDs) burden attributable to low physical activity, considering the impacts of population aging and growth.</p><p><strong>Method: </strong>Based on the Global Burden Disease 2019 Study, the NCDs-related death and disability-adjusted life years attributable to low physical activity (defined as <3000 metabolic equivalent-min/wk) were obtained from 2010 to 2019. The average annual percent change was calculated using the joinpoint analysis. Decomposition analysis was applied to assess the separated contributions of 3 components (population aging, population growth, and death change due to all other factors) on the overall change in NCDs death attributed to low physical activity.</p><p><strong>Results: </strong>From 2010 to 2019, the average annual percent change of age-standardized rates of NCDs due to low physical activity was -0.09% for death and -0.06% for disability-adjusted life years. However, the global absolute number of deaths from NCDs attributable to low physical activity increased from 672,215 to 831,502, and disability-adjusted life years rose from 12,813,793 to 15,747,938. This rise was largely driven by population aging and growth, contributing to a 13.0% and 14.7% increase, respectively. The most significant impact of population aging on NCD deaths was observed in high-middle socio-demographic index countries (17.6%), whereas population growth had the greatest effect in low socio-demographic index countries (24.3%).</p><p><strong>Conclusions: </strong>The reduction in NCDs death rates attributed to low physical activity is insufficient to counteract the effects of population aging and growth. Targeted interventions for physical activity promotion should focus on the older population with special attention to diseases most sensitive to physical inactivity.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1-10"},"PeriodicalIF":2.9,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807124","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}