Journal of physical activity & health最新文献

Background: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

Background: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

Background: 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.

Objectives: To evaluate the use of GLH data for measuring outdoor PA.

Methods: 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.

Results: 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).

Conclusions: GLH data provide a novel method for measuring long-term, retrospective outdoor PA that can provide new opportunities for PA research.

Background: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

Background: To analyze global trends in the noncommunicable diseases (NCDs) burden attributable to low physical activity, considering the impacts of population aging and growth.

Method: 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.

Results: 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%).

Conclusions: 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.

Background: Physical activity is crucial for maintaining health and preventing chronic diseases. However, climate conditions can impact physical activity patterns, and conversely, physical activity can impact climate change. This umbrella review aims to summarize the existing evidence regarding the relationships between physical activity and climate change, as revealed in previous reviews.

Methods: Systematic reviews and meta-analyses were analyzed. Searches were conducted across GreenFILE, PubMed, and Web of Science databases for peer-reviewed articles published in English. A 2-stage independent screening process was conducted, and methodological quality was assessed using the JBI framework. Standardized data extraction methods were then applied.

Results: Out of 1292 articles retrieved, 7 met all eligibility criteria and were included in the review. Three articles examined physical activity as a primary exposure, 3 focused on the impacts of climate change, and one considered both physical activity and climate change as primary exposures.

Conclusions: Findings reveal an interplay between climate change and physical activity. While rising temperatures may prompt outdoor activities up to a certain temperature threshold, air pollution and extreme heat can have harmful effects. Active transportation and improved logistics around large-scale sporting events can mitigate climate change by reducing greenhouse gas emissions, but transportation systems linked to sports venues may increase emissions. Research on the reciprocal relationship between climate change and physical activity domains, and integrating the community into climate discussions, is crucial for equity, especially for marginalized communities. Incorporating climate adaptation and mitigation strategies in physical activity infrastructure to minimize environmental impacts is critical.

Background: The movement behaviors of LGBTQA+ young people, who encounter specific health, and other, challenges are not well understood. This systematic review examines the 24-hour movement behaviors of LGBTQA+ young people compared with population estimates of meeting the 24-hour movement guidelines.

Methods: Seven electronic databases were searched from inception to January 2024. Observational studies published in English and reporting quantitative data for physical activity, sedentary behavior, or sleep duration for LGBTQA+ individuals <24 years old were included. Data were narratively synthesized for children/adolescents (<18 years) and young adults (18-24 years), guided by the Cochrane Synthesis Without Meta-analysis guidelines.

Results: Fifty-six studies were included; 46 were of "fair" quality and 37 were conducted in the United States. Physical activity, sedentary behavior, and sleep outcomes were reported in 46, 11, and 14 studies, respectively. Ninety unique LGBTQA+ terms were identified. Based on outcomes reported in ≥1 study, and compared to population estimates, LGBTQA+ young people were less likely to meet aerobic physical activity and strength/resistance training guidelines. LGBTQA+ children/adolescents were less likely to meet the sleep guidelines. Young adults demonstrated similar adherence to sleep guidelines as population estimates.

Conclusions: Overall, our results suggest that LGBTQA+ young people have suboptimal 24-hour movement behaviors; in some cases, worse than population estimates. Utilization of more robust measures of exposure and outcome variables is recommended, with a focus on sleep and sedentary behavior.

Background: Ubiquitous car ownership may affect children's activity and health. We assessed the cross-sectional and longitudinal associations between household car ownership and children's daily time spent sedentary (SED) and in moderate to vigorous physical activity (MVPA).

Methods: Pooled cohort data were from the International Children's Accelerometry Database. Outcome measures were average daily accelerometer-measured SED and MVPA (in minutes per day). Exposures were household car ownership (none, 1, and ≥2) and change in car ownership. Associations were examined using multivariable mixed-effects linear regression.

Results: Mean age of participants (N = 4193) was 10.4 years (SD = 2.0), 53.4% were girls, and mean follow-up duration (N = 1333) was 3.3 years (SD = 1.1). Cross-sectionally, household car ownership was associated with higher SED (vs none: 1 car: β = 14.1 min/d, 95% CI, 6.7-21.5; ≥2 cars: 12.8, 95% CI, 5.3-20.4) and lower MVPA (vs none: 1 car: β = -8.8, 95% CI, -11.9 to -5.7; ≥2 cars: β = -8.8, 95% CI, -12.0 to -5.7). Associations were stronger in boys than girls and in children from lower socioeconomic backgrounds (SED only). Prospectively, there were no associations with increased car ownership. Reductions in household car ownership (of which 93.1% had ≥ 2 cars at baseline) were associated with a greater reduction in MVPA (vs no change: β = -8.4, 95% CI, -13.9 to -3.0) but not SED.

Conclusions: Children in households with car access were more SED and less active than those without. Losing access to a second car was associated with greater decreases in MVPA, potentially related to losing access to activity-enabling environments. Reducing car access and use are important public health targets (eg, reducing air pollution), but their potential impact on children's activity opportunities should be mitigated.

Physical activity (PA) has a variety of well-established benefits for physical and mental health. However, there are PA disparities based on numerous sociodemographic characteristics, including sexual orientation. Mapping of PA interventions tailored to sexual minorities (ie, nonheterosexual) is currently absent from the literature.

Purpose: The purpose of this scoping review was to summarize the existing interventions focused on promoting PA among sexual minority (SM) adults.

Methods: A search strategy was developed in consultation with a research librarian for PubMed, Web of Science, SportDiscus, and CINAHL. The scoping review was conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines. Randomized and nonrandomized interventions that focused on increasing PA among SM adults were included. Data on study design, sample demographics, purpose of research, methodology, intervention components, theory-based constructs used, PA measures, and outcomes of the intervention were extracted.

Results: Our search yielded 7289 articles, with 26 articles requiring full-text review. Four interventions were identified that focused on increasing PA among SM adults, with 2 focusing on lesbian/bisexual women, 1 focusing on lesbian/gay cancer survivors, and 1 focusing on men who have sex with men. Two of the 4 studies were successful at increasing PA, with varying psychosocial theories (ie, social cognitive theory and theory of reasoned action) and intervention strategies (ie, PA counseling, group meetings, and pedometers).

Conclusion: Findings of this review demonstrate a clear lack of PA interventions targeting SM adults, limiting the available knowledge required for preventionists, practitioners, and health care professionals to effectively promote PA through behavioral modification among this group.

Background: Socioeconomic inequalities significantly impact the accessibility of resources necessary for physical activity, thereby influencing overall physical activity levels and contributing to broader health disparities. Nevertheless, evidence is lacking on quantifying the increase of people who would be physically active through reducing inequalities by a higher socioeconomic position.

Methods: We conducted secondary data analysis on the 2017 cross-sectional survey of the European Union's population aged ≥18 years (n = 27,538). By estimating socioeconomic status percentages and odds ratios between socioeconomic status (education, occupational social class, and economic issues) and physical activity, we calculated age-standardized Prevented Fraction for Population and the total number of individuals that would meet physical activity guidelines by a higher socioeconomic status (eg, from low to middle or high socioeconomic status), along with scenarios of reduced socioeconomic disparities, controlling for age, gender, place of residence, and marital status.

Results: A higher socioeconomic status could promote physical activity for a total of 93.0 (84.5-101.8) million people through university education, 28.5 million via high-ranked occupations (24.6-32.8), and 137.9 (129.5-146.2) million by less economic issues (compared with primary education, low-manual occupations, and having economic issues most of the time, respectively)-equivalent to 35.46%, 14.49%, and 55.42% of the Prevented Fraction for Population. Reducing socioeconomic inequalities by 50% could raise these estimations to 148.1 million (134.0-162.8) through education, 43.5 million (37.5-50.3) through occupation, and 223.6 million (209.3-237.8) through less economic issues.

Conclusions: Enhancing access to university education, high-ranked occupations, and income impacts physical activity population levels in the European Union.