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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.

Objective: This study aimed to assess the changes in the frequency of physical activity (PA) counseling and in the predictors of primary care PA promotion in Québec primary care physicians (PCPs) between 2010 and 2020. Methods: In 2010, we conducted a survey among Québec PCPs. Questions included: frequency of promoting PA to patients, perceived barriers, needs to improve PA promotion practice, frequency of PCPs’ PA practice, and sociodemographic information. In 2020, we took over the 2010 questionnaire to document the evolution of the PA promotion practice. Results: The proportion of PCPs discussing PA with their patients significantly increased (P < .05) in 2020 for the following health conditions: depression, low back pain, chronic obstructive pulmonary disease, and cancer; it declined (P < .05) for overweight patients, those with metabolic syndrome, and in primary prevention. Collaboration with PA professionals was the major need identified, and it increased in 2020. PCPs’ own practice of PA was a predictor of PA promotion in 2010 (odds ratio = 6.679; P < .001) and in 2020 (odds ratio  = 6.679; P < .001). In both 2010 and in 2020, older or more experienced PCPs were more likely to discuss PA with their patients without diagnosed diseases than younger ones or those with less experience. Conclusions: Over the last 10 years, there has been a significant increase in PCPs promoting PA in Québec; however, it has been mainly oriented toward secondary prevention. It is concerning that PA counseling in primary prevention has declined, notably among younger PCPs. The stronger claim for closer collaboration with kinesiologists suggests that PCPs are in favor of an interprofessional strategy, namely collaboration with PA specialists.

The risk of developing medium- and long-term sequelae after recovery from COVID-19 is validated. Long-COVID burden represents a major health care issue, thus paving the way to effective prevention and/or treatment measures. Physical activity prevents many human pathologies, including COVID-19. Being physically active before and immediately after a severe acute respiratory syndrome coronavirus 2 infection substantially lowers the risk of developing long-COVID. In addition, long-COVID is an important cause of physical inactivity. Physically inactive individuals are at increased risk of developing long-COVID, while patients with long-COVID are more likely to reduce their physical activity levels after recovering from the acute infection, with the risk of generating a continuous loop. This harmful interaction needs to be recognized by public health institutions, and the adoption of physical activity as a routine clinical practice in all individuals after a severe acute respiratory syndrome coronavirus 2 infection needs to be proactively promoted.

Background: Monitoring survey methods, as well as movement recommendations, evolves over time. These changes can make trend observations over time difficult. The aim of this study was to examine the differences between 2 computer-assisted survey administration methods and the effect of the omission of the 10-minute minimum bout requirement in physical activity (PA) questions on PA outcomes. Methods: We used data from the second Austrian PA Surveillance System for 2998 adults (18–64 y), applying computer-assisted personal interviewing and computer-assisted web interviewing. Within the computer-assisted web interviewing sample only, we added PA questions without the 10-minute requirement. Quantile and logistic regressions were applied. Results: Between computer-assisted web interviewing and computer-assisted personal interviewing, within the computer-assisted personal interviewing sample, we found lower PA estimates in the leisure domain and work and household domain, but not in the travel domain, and no significant difference in the proportion of people meeting the PA recommendations. In all 3 PA domains, the median minutes did not differ when assessed with or without the 10-minute requirement. However, the percentage participation in the travel domain and work and household domain performing >0 minutes per week PA was higher when there was no 10-minute requirement. The proportion of people meeting the Austrian aerobic recommendation for adults when computed with or without the 10-minute requirement did not differ. Conclusion: Our findings suggest that the omission of the 10-minute requirement does not seem to result in marked differences in PA estimates or the proportion of adults meeting the recommendations.

Background: Physical activity for any purpose counts toward meeting Physical Activity Guidelines (PAG). However, national surveillance systems traditionally focus on leisure-time physical activity. There is an incomplete understanding of the association between meeting PAG in leisure time and occupation activity level among US workers. Methods: We used cross-sectional 2020 National Health Interview Survey data to examine US adults aged 18–64 years who worked the week before the survey (n = 14,814). We estimated the proportion meeting aerobic and muscle-strengthening PAG in leisure time by occupation activity level (low, intermediate, and high). Using logistic regression, we examined the association between meeting PAG in leisure time and occupation activity level, adjusted for sociodemographic characteristics and stratified by hours worked. We compared the sociodemographic characteristics of adults working ≥40 hours (the previous week) in high-activity occupations to those in low- or intermediate-activity occupations. Results: Adults working in high-activity occupations were less likely to meet PAG in leisure time (26.1% [24.3–28.1]) versus those in low-activity (30.6% [29.1–32.2], P < .01) or intermediate-activity (32.4% [30.8–34.2]) occupations. In stratified, adjusted models, adults working ≥40 hours in low- and intermediate-activity occupations were 13% and 20%, respectively, more likely to meet PAG in leisure time versus those in high-activity occupations. Among those working ≥40 hours, adults in high-activity occupations were more likely to be Hispanic or Latino, male, younger, and have a high school education or lower compared with those in less active occupations. Conclusion: Traditional surveillance may underestimate meeting PAG among people working in high-activity occupations, potentially disproportionately affecting certain groups.

Background: To better understand physical activity behavior and its health benefits in people living with health conditions, we studied people with and without 20 different self-reported health conditions with regard to (1) their physical activity levels, (2) factors correlated with these physical activity levels, and (3) the association between physical activity and all-cause mortality. Methods: We used a subsample (n = 88,659) of the Lifelines cohort study from the Netherlands. For people living with and without 20 different self-reported health conditions, we studied the aforementioned factors in relation to physical activity. Physical activity was assessed with the Short Questionnaire to Assess Health-Enhancing Physical Activity Questionnaire, and mortality data were obtained from the Dutch death register. Results: People with a reported health condition were less likely to meet physical activity guidelines than people without a reported health condition (odds ratios ranging from 0.55 to 0.89). Higher body mass index and sitting time, and lower self-rated health, physical functioning, and education levels were associated with lower odds of meeting physical activity guidelines across most health conditions. Finally, we found a protective association between physical activity and all-cause mortality in both people living with and without different health conditions. Conclusion: People living with different health conditions are generally less physically active compared with people living without a health condition. Both people living with and without self-reported health conditions share a number of key factors associated with physical activity levels. We also observed the expected protective association between physical activity and all-cause mortality.