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This study explored the frame-setting and frame-sending process of media who reported on the 2015 ParticipACTION Report Card on Physical Activity for Children and Youth. Through the use of a case-study method employing a sequential explanatory mixed-methods approach (content analysis followed by semistructured interviews), the findings revealed a high level of frame-sending characteristics by the media, and the framing of stories was found to be influencing the message being sent, making it different from the original messaging sent by public relations practitioners charged with dispersing information. Theoretical and practical contributions are discussed along with suggestions for future studies.

Background: Moderate-to-vigorous physical activity (MVPA) offers many health benefits for preschoolers (2.5–5 y). In childcare, MVPA is predominantly accumulated outdoors, with higher rates purported among children within the first few minutes outside. The Supporting Physical Activity in the Childcare Environment intervention included shorter, more frequent outdoor play sessions; this study sought to explore children’s activity levels during various outdoor play schedules. Methods: During the final week of the Supporting Physical Activity in the Childcare Environment intervention, preschoolers wore an Actical^™ accelerometer for 5 days during childcare and staff logged outdoor times. Separate linear mixed effects models were run to explore the effect of the intervention on preschoolers’ physical activity (total and MVPA) and sedentary time during outdoor play. Sex was entered as an interaction effect. Results: Preschoolers (n = 292) were significantly more active in the first 10 minutes outdoors compared with remaining time (P < .0083). For total outdoor time, children in the experimental group engaged in significantly less sedentary time than those in the control group (P < .017), and experimental group boys and girls engaged in higher MVPA than boys and girls in the control group (P < .017). Conclusions: Findings support scheduling more frequent outdoor play sessions in childcare to increase physical activity participation among young children.

Young children’s activity and sedentary time were simultaneously measured via the Actical method (i.e., Actical accelerometer and specific cut-points) and the ActiGraph method (i.e., ActiGraph accelerometer and specific cut-points) at both 15-s and 60-s epochs to explore possible differences between these 2 measurement approaches. For 7 consecutive days, participants (n = 23) wore both the Actical and ActiGraph side-by-side on an elastic neoprene belt. Device-specific cut-points were applied. Paired sample t tests were conducted to determine the differences in participants’ daily average activity levels and sedentary time (min/h) measured by the 2 devices at 15-s and 60-s time sampling intervals. Bland-Altman plots were used to examine agreement between Actical and ActiGraph accelerometers. Regardless of epoch length, Actical accelerometers reported significantly higher rates of sedentary time (15 s: 42.7 min/h vs 33.5 min/h; 60 s: 39.4 min/h vs 27.1 min/h). ActiGraph accelerometers captured significantly higher rates of moderate-to-vigorous physical activity (15 s: 9.2 min/h vs 2.6 min/h; 60 s: 8.0 min/h vs 1.27 min/h) and total physical activity (15 s: 31.7 min/h vs 22.3 min/h; 60 s: = 39.4 min/h vs 25.2 min/h) in comparison with Actical accelerometers. These results highlight the present accelerometry-related issues with interpretation of datasets derived from different monitors.

Purpose: The purposes of the current study were to identify risk profiles for nonadherence among children and youth (5–17 y) at the 6-month mark of the COVID-19 pandemic and to discuss similarities and differences between risk profiles identified in the current study and those identified at the 1-month mark of the pandemic. Methods: Data were part of a nationally representative sample of 1143 parents (M _age = 43.07 y, SD = 8.16) of children and youth (5–17 y) living in Canada. Survey data were collected in October 2020. Results: Results showed that 3.8% met all movement behavior recommendations, 16.2% met the physical activity recommendation, 27% met the screen time recommendation, and 63.8% met the sleep recommendation. Characteristics associated with nonadherence to all movement behaviors included low parental perceived capability to restrict screen time and decreased overall time spent outdoors. Characteristics associated with nonadherence to the physical activity and screen time recommendations included youth (12–17 y), low parental perceived capability to restrict screen time, decreased time spent outdoors, and increased screen time. Conclusion: Results emphasized the importance of parental perceived capability to restrict screen time and children’s and youth’s outdoor time and showed that pandemic-related factors have impacted children and youth differently.

Background: COVID-19 caused closures of movement supporting environments such as gyms and schools in Canada. This study evaluated the association between Ontario parents’ and children’s physical activity levels across time during COVID-19, controlling for variables that were identified as significant predictors of children’s and parents’ physical activity (e.g., children’s age, parents’ employment status). Methods: Parents (n = 243; mean age = 38.8 y) of children aged 12 and under (n = 408; mean age = 6.3 y) living in Ontario, Canada completed 2 online surveys, the first between August and December 2020 and the second between August and December 2021. At baseline, parents were asked to recall prepandemic physical activity levels. To determine the association between parent and child physical activity during COVID-19, a cross-lagged model was estimated to determine the cross-sectional and longitudinal associations between parents’ and children’s physical activity across time. Results: Bivariate associations revealed that parents’ and children’s physical activity levels were significantly related during lockdown and postlockdown but not prelockdown. The autoregressive paths from prelockdown to during lockdown were significant for children (β = 0.53, P < .001) and parents (β = 1.058, P < .001) as were the autoregressive paths from during lockdown to postlockdown for children (β = 0.61, P < .001) and parents (β = 0.48, P < .001). In fully adjusted models, the cross-lagged association between parents’ physical activity prelockdowns was significantly positively associated with their children’s physical activity during lockdowns (β = 0.19, P = .013). Conclusions: Resources are needed to ensure that children and parents are obtaining sufficient levels of physical activity, particularly during a pandemic.