Background : Identifying the factors that may influence adolescent physical activity behaviors is essential for designing targeted interventions. This study investigated the associations between school environment characteristics and participation in physical education (PE) classes and active commuting to school. Methods : A cross-sectional multilevel study was conducted with 1719 adolescents (14–19 y, 49% female) from 46 schools (28 public) in Belém, a Brazilian Amazonian capital. Self-reported time spent in PE classes and active commuting was collected via questionnaire. School environment data were obtained through principal surveys and on-site observation. Zero-inflated negative binomial hierarchical models, adjusted for individual and school covariates, were used to estimate the associations. Results : In the logit component (estimating 0-min participation), more PE teachers (odds ratios [OR] = 0.79; 95% CI, 0.71–0.87), usable locker rooms (OR = 0.66; 95% CI, 0.54–0.83), and school accessibility (OR = 0.68; 95% CI, 0.54–0.86) reduced the odds of no PE participation. In the count component (time spent), sidewalks (rate ratios = 1.13; 95% CI, 1.01–1.26) and bike racks (rate ratios = 1.13; 95% CI, 1.02–1.26) were associated with greater commuting time among active commuters, whereas speed bumps were associated with lower odds of no commuting (OR = 0.59; 95% CI, 0.43–0.81). Subgroup analyses revealed that sidewalks and bike racks were particularly associated with commuting behaviors in peripheral districts, whereas pedestrian crossings and speed-limit signs showed associations in central areas. Conclusions : Better school infrastructure is associated with lower reported nonparticipation in PE classes in this Amazonian setting. Active commuting patterns, however, emerged as a more complex behavior, reflecting interactions between urban infrastructure and socioeconomic conditions.

Adults with rheumatic disease (RD) experience high levels of fatigue. Regular physical activity has been shown to reduce fatigue among adults. Despite this evidence, adults with RD are more likely to be physically inactive compared with those without RD. Little information is known about the association of physical activity level and fatigue among adults with RD. This study investigated the association of physical activity level and fatigue among adults with and without RD. Adults (≥18y) who participated in the 2018 National Health Interview Survey (unweighted n = 25,471) were included in this cross-sectional study. Physical activity and fatigue were self-reported. Statistical analyses were weighted to account for complex survey sampling design. Significantly more adults with RD experience fatigue compared with adults without RD (26.19% vs 13.23%). Adults with RD who were inactive had 2.81 times (95% CI, 2.37-3.34) higher odds of experiencing fatigue compared to adults with RD who were sufficiently active, after adjusting for covariates. Overall, fatigue was more common among adults with RD than it was in the population without RD.

Lack of physical activity (PA) is associated with obesity, diabetes, hypertension, cardiovascular diseases, and cancer. Parenting practices influence PA in young children. However, there is little evidence available for adolescents. We examined whether parenting practices were associated with out-of-school PA (OSPA) in US adolescents. This cross-sectional 2019 study analyzed data from the 2014 FLASHE study, a web-based, quota-sampled survey of parent-adolescent dyads. Inclusion required survey completion and parents to live with their teen (ages 12-17y old). Physically limited adolescents were excluded. Dyads were stratified by teen age. Exposures included parental modeling, monitoring, facilitation, restriction, guided choice, and pressure. The outcomes of interest were OSPA Youth Activity Profile scores. Odds ratios (ORs) with 95% confidence intervals (CI) were calculated using adjusted logistic regressions. A total of 1109 dyads were included. Guided choice increased odds of OSPA for 15- to 17-year-olds (OR = 2.12; 95% CI, 1.17-3.84). Facilitation increased odds of OSPA for 12- to 14-year-olds (OR = 2.21; 95% CI, 1.13-4.33). Monitoring decreased odds of OSPA for 15- to 17-year-olds (OR = 0.34; 95% CI, 0.20-0.57) and 12- to 14-year-olds (OR = 0.45; 95% CI, 0.27-0.74). Friend support increased odds of OSPA in 15- to 17-year-olds (OR = 4.03; 95% CI, 2.29-7.08) and 12- to 14-year-olds (OR = 3.05; 95% CI 1.69-5.51). Future interventions should prioritize (1)shared decision making for older teens, (2)access to PA opportunities for younger adolescents, and (3)promoting peer PA and friend support for everyone.

To understand the environmental determinants of physical activity (PA), precise spatial localization is crucial. This cross-sectional study focuses on the spatiotemporal distribution of PA among Czech adolescents (n = 171) using Global Positioning System loggers and accelerometers. The results showed that adolescents spent most of their time in sedentary behavior, with 57.2% and 58.5% of monitored time at home and school, respectively. The park and playground had the lowest proportion of sedentary behavior but also the lowest amount of moderate to vigorous PA (MVPA). However, when considering the time spent in each domain, the highest proportion of MVPA was seen in publicly accessible playgrounds (13.3% of the time). Chi-square analysis showed that the relative distribution of different PA intensities did not differ across spatial domains. Based on these results, the authors propose 2 key strategies for increasing MVPA in adolescents: Increase the time spent in activity-supportive environments, such as parks and playgrounds, and design techniques to increase MVPA at home and school settings.

Points• Hiking promotes opportunity for individuals to be active based on varying fitness, skill, and sociodemographic levels.

Women with higher body mass index report low rates of and face unique barriers to exercise. Increasing exercise participation can improve mental and physical health independent of weight loss; however, most exercise programs targeting this population focus predominately on losing weight. This paper aims to describe the development of Fit&Fab, a community-based exercise intervention focused on increasing exercise participation and enjoyment for women with obesity. In partnership with the YMCA, we recruited women ages 35-64years (body mass index ≥ 30) to participate in 4 focus groups to understand exercise preferences. Formative work was used to identify theory constructs and associated intervention components. Women from the focus groups were recruited for a community advisory board that finalized the intervention design, recruitment, and evaluation plan. Focus groups participants (N = 29) preferred to exercise without men and wanted a cohort-style class that included women of similar exercise levels and body types, incorporated social support, fun activities, and broke exercise into smaller bouts. They wanted a supportive instructor who was fit but understood weight-related challenges. The community advisory board and research team used focus group findings to inform design of the final intervention including group exercise classes, psychosocial support sessions, personalized training, exercise tracking, outcome monitoring, and rewards. Our findings emphasize the need to focus on exercise enjoyment and benefits other than losing weight to improve exercise participation among women with higher body mass index. In addition to having outcomes other than weight loss, exercise interventions with this population should also consider group composition, instructor, and class format.

Limited data on 24-hour movement behaviors of children aged 5-8years exist globally. We describe the prevalence and sociodemographic associations of meeting physical activity (PA), sedentary recreational screen time (ST), and sleep guidelines among children from 11 jurisdictions in the US-Affiliated Pacific region. Cross-sectional representative data from 1192 children aged 5-8years living in the US-Affiliated Pacific region were drawn from the baseline 2012-2014 Children's Healthy Living Program. Sleep and moderate- to vigorous-intensity PA were calculated from accelerometry. ST and sociodemographic data were collected from caregiver surveys. The percentage of children meeting the Asia-Pacific 24-hour movement guidelines for PA (≥60min/d of moderate- to vigorous-intensity PA), sleep (≥9 and ≤ 11h/d) and ST (≤2h/d) were calculated. Generalized linear mixed models were used to examine associations with adiposity and sociodemographic variables. Twenty-seven percent (95% confidence interval, 24.6-30.0) of children met integrated guidelines; 98% (96.2-98.0) met PA, 78% (75.4-80.0) met sleep, and 35% (32.6-38.0) met ST guidelines. Females (adjusted odds ratio = 1.40 [95% confidence interval, 1.03-1.91]) and those living in lower-middle-income jurisdictions (2.29 [1.49-3.54]) were more likely to meet ST guidelines. Overweight children (0.62 [0.40-0.96]), those aged 8years (0.39 [0.22-0.69]), and children with caregivers of an education level of high school or beyond (0.44 [0.29-0.68]) were less likely to achieve ST guidelines. Children from midrange annual household incomes were less likely to meet combined guidelines (0.60 [0.39-0.92]). Three-quarters of children are not meeting integrated Asia-Pacific 24-hour movement guidelines. Future strategies for reducing ST and increasing integrated guidelines compliance are needed.

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has posed a threat to society worldwide. The aim of the study was to analyze changes in the physical fitness of 11- to 15-year-olds during the COVID-19 pandemic. Cross-sectional research was conducted in randomly selected schools in Kraków (Poland) during the years 2020 and 2022. The study group included 1635 adolescents aged 11-15years. The results of fitness tests such as flexibility, standing broad jump, handgrip strength, overhead medicine ball throw, shuttle run (10 × 5m), and 30-second sit-ups were analyzed. Body height and weight measurements were also taken. The standing broad jump and handgrip strength were normalized. A statistical analysis was performed to compare the differences between groups using 2-way analysis of variance with the Tukey HSD post hoc test or Kruskal-Wallis test. The test results revealed a deterioration decrease in sit-ups, standing broad jump, shuttle run, and normalized standing broad jump in both sexes. Furthermore, the test results among girls showed a decrease in overhead medicine ball throw and flexibility. An increase in test results of both sexes was noticed in handgrip strength of the right and left hand. Among boys in 2022, the results were better in the flexibility test and overhead medicine ball throw compared with their peers from 2020. This study indicates a decrease in overall physical fitness in adolescents. The observed results may be associated with a decrease in physical activity, changes in nutrition, and restrictions imposed during the COVID-19 pandemic.

To describe the evolution of physical activity (PA) research in Africa, examine income and gender inequalities, and discuss future possibilities. A secondary analyses of the Global Observatory for Physical Activity data on PA research in Africa (1950-2019). We identified 514 PA articles from 47 African countries in the past 70years. Majority (83.1%) of the articles were published between 2012 and 2019. Fifteen countries had no publications. Six countries (South Africa [n = 156], Nigeria [n = 85], Ethiopia [n = 44], Ghana [n = 41], Kenya [n = 39], and Cameroon [n = 20]) accounted for about 75% of the publications. Most articles were observational (92.4%), single-country studies (78.4%), with male first (58.4%) and last authors (68%), and were classified as surveillance studies (45.1%). Few studies addressed interventions (5.8%) and policy (3.5%) or used device-based PA measurement (14.0%). The number of articles per country was positively related to human population level (r = .552, P = .000) and gross domestic product % spent on research and development (r = .301, P = .040). The publication rate per 100,000 people was positively related with the human development index (r = .349, P = .016) and negatively with the gender inequality index (r = -.360, P = .019). Our results provide an overview and status of PA research in Africa, highlighting country differences and gender inequalities in authorship. The findings may be used to benchmark the evolution of research in the region and to inform areas for improvement. There is an urgent need for more PA interventions and policy studies in Africa.