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Intervention science faces a hazardous paradox: on the one hand, vulnerable populations (eg, patients, people from low socioeconomic background, older adults) are those for whom adoption of healthy behaviors is most urgent; on the other hand, behavior change models are less predictive, and interventions less successful, in these populations. This commentary presents 4 reasons that may explain this issue: (1) research mostly focuses on what causes behavior and how to change it, at the expense of investigating among whom and under what conditions models are valid; (2) models put an undue emphasis on individual cognitions; (3) most studies are not conducted on vulnerable populations; and (4) most researchers are from high-income countries. Several avenues are proposed to address this issue: (1) providing a central place to the context and audience in health behavior change modelization, through collaborations with researchers from other disciplines and countries, and with members of the targeted audience; (2) better reporting samples’ sociodemographic characteristics and increasing samples’ diversity; and (3) using more rigorous and innovative designs (eg, powered randomized controlled trials, N-of-1 trials, intensive longitudinal studies). In conclusion, it becomes urgent to change the way we do research: the social utility and credibility of intervention science depend on it.

Background: The previous review of physical activity (PA) among Croatian children and adolescents was conducted a decade ago. Therefore, the aim of this study was to summarize recent evidence on PA of Croatian children and adolescents and associated personal, social, environmental, and policy factors. Methods: Eighteen experts reviewed the available evidence and provided ratings (from the lowest grade “F” to the highest grade “A+”) for the 10 Global Matrix indicators. A systematic search with 100 keywords was conducted in Hrčak, PubMed/MEDLINE, Scopus, SPORTDiscus, and Web of Science for documents published from January 01, 2012, to April 15, 2022. We also conducted internet searches and secondary analyses of data (relative frequencies) from 6 studies. Results: After assessing 7562 references, we included 90 publications in the review and 18 studies (83.3% of medium-to-good quality) in evidence synthesis. We found a high prevalence of insufficient PA (especially among girls) and excessive screen time (especially among boys). PA participation of children and adolescents in Croatia has declined over time. The following grades were assigned to the indicators for Croatia: B− for overall PA, C− for organized sport and PA, C for active play, C− for active transportation, D+ for sedentary behavior, inconclusive for physical fitness, D+ for family and peers, B− for school, B− for community and environment, and D+ for government. Conclusions: Coordinated actions are needed across sectors to improve PA promotion, with a focus on increasing PA among girls, reducing sedentary screen time among boys, improving parental support for PA, and further development of national PA policies.

Background: The Exercise interveNtion outdoor proJect in the cOmmunitY (ENJOY) Seniors Exercise Park program uses specialized outdoor equipment and a physical activity program to engage older people in physical activity, with multiple health benefits. We determined the cost-effectiveness of the ENJOY program. Methods: The economic evaluation compared health care utilization costs 6 months prior to and 6 months post ENJOY program participation. Incremental cost-utility analysis for the primary aim (quality of life) and incremental cost-effectiveness analysis for the secondary aim (falls) were used. Analyses took a societal perspective inclusive of Australian government-funded health care and pharmaceuticals in addition to hospitalizations, community-based nursing and allied health, and community services. Productivity costs were also calculated. Results: Fifty participants (average age 72.8 y [SD 7.4] and 78.0% [n = 39/50] women) were included. Participation in the ENJOY program reduced health care costs in the 6 months following the program: preintervention, $9764.49 (SD $26,033.35); postintervention, $5179.30 (SD $3826.64); observed postintervention reduction −$4.585.20 (95% confidence interval, −$12,113.99 to $2943.59; P = .227) without compromising quality of life (mean difference [MD] 0.011; 95% confidence interval, −0.034 to 0.056; P = .631) or increasing the likelihood of a fall (−0.5; 95% confidence interval, 0.00 to −0.50; P = .160). The ENJOY intervention is likely cost-effective. Conclusions: Planning for shared community spaces should consider the benefits of a Seniors Exercise Park as part of the built environment.

Background: Communities are wellness landscapes of geospatially and temporally bound settings where children spend their time. Improving population physical activity (PA) requires investigating available community settings for children, such as classrooms and sport teams, and the dynamic social interactions producing PA. This protocol describes a multiscale community wellness landscape monitoring and feedback system of adult-led organized group settings and PA outcomes for children. Methods: The data system assessed organized groups for third- through sixth-grade children in 2 rural communities within seasons (fall 2018–2019). Within each season, groups were identified, sampled, and recruited. Sampled group meetings were assessed for children’s PA (accelerometry) and meeting routines (video observation). A data processing protocol time-segmented data into meetings and meeting routines into smaller units (sessions). A purpose code was assigned to each meeting (eg, classroom, sport) and session (eg, academic, PA). Group accelerometer data were paired with the coded segments. Multiscale metrics (season, meeting, and session) were generated and provided to the communities in tailored reports. Results: A total of 94 groups were recruited, and 73 groups with 1302 participants were included in the data system. Data were collected from 213 meetings and 844 sessions. Most participants (83.1%) consented to link their accelerometer data with demographic data from school enrollment records. Conclusions: The community data system identified available organized group settings for children and collected video and PA data from these settings. Incorporating setting data into local data systems provides detailed accounts of whole-of-community PA social systems to inform population health improvement efforts.

Albert Einstein taught us that “everything is relative.” People’s experience of physical activity (PA) is no different, with “relativism” particularly pertinent to the perception of intensity. Markers of absolute and relative intensities of PA have different but complimentary utilities, with absolute intensity considered best for PA guideline adherence and relative intensity for personalized exercise prescription. Under the paradigm of exercise and PA as medicine, our Technical Note proposes a method of synchronizing accelerometry with the incremental shuttle walking test to facilitate description of the intensity of the free-living PA profile in absolute and relative terms. Our approach is able to generate and distinguish “can do” or “cannot do” (based on exercise capacity) and “does do” or “does not do” (based on relative intensity PA) classifications in a chronic respiratory disease population, facilitating the selection of potential appropriate individually tailored interventions. By synchronizing direct assessments of exercise capacity and PA, clearer insights into the intensity of PA performed during everyday life can be gleaned. We believe the next steps are as follows: (1) to determine the feasibility and effectiveness of using relative and absolute intensities in combination to personalize the approach, (2) to determine its sensitivity to change following interventions (eg, exercise-based rehabilitation), and (3) to explore the use of this approach in healthier populations and in other long-term conditions.

Background: Children’s movement behaviors have been affected by the COVID-19 pandemic; however, little is known regarding movement behavior patterns over time by government-issued lockdowns. Our primary objective was to evaluate how children’s movement behaviors changed by stages of lockdown/reopening in Ontario, Canada, from 2020 to 2021. Methods: A longitudinal cohort study with repeated measures of exposure and outcomes was conducted. The exposure variables were dates from before and during COVID-19 when child movement behavior questionnaires were completed. Lockdown/reopening dates were included as knot locations in the spline model. The outcomes were daily screen, physical activity, outdoor, and sleep time. Results: A total of 589 children with 4805 observations were included (53.1% boys, 5.9 [2.6] y). On average, screen time increased during the first and second lockdowns and decreased during the second reopening. Physical activity and outdoor time increased during the first lockdown, decreased during the first reopening, and increased during the second reopening. Younger children (<5 y) had greater increases in screen time and lower increases in physical activity and outdoor time than older children (≥5 y). Conclusions: Policy makers should consider the impact of lockdowns on child movement behaviors, especially in younger children.