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Introduction: Limited data on 24-hour movement behaviors of children aged 5–8 years 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. Methods: Cross-sectional representative data from 1192 children aged 5–8 years 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 (≥60 min/d of moderate- to vigorous-intensity PA), sleep (≥9 and ≤ 11 h/d) and ST (≤2 h/d) were calculated. Generalized linear mixed models were used to examine associations with adiposity and sociodemographic variables. Results: 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 8 years (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]). Conclusions: 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.

Background: Walking is a key target behavior for promoting population health. This paper charts the 30-year history of walking policy in Scotland. We assess whether population walking levels among adults in Scotland have changed in recent years and identify the characteristics of those least likely to report any walking. Methods: We pooled 9 years (2012–2019 and 2021) of data from adult (≥16 y) respondents of the Scottish Health Survey (n = 41,470). The outcomes of interest were the percentage reporting (1) any walking and (2) any walking with an average pace that is of at least moderate intensity. We also investigated the contribution of walking to total nonoccupational moderate to vigorous physical activity. We used linear and logistic regressions to test linear trends over time and to identify inequalities by age, sex, and the Scottish Index of Multiple Deprivation quintile. Results: There was an increase in all measures of walking over the period 2012–2021; for example, the percentage reporting any walking increased by 7 percentage points (81.4%–88.4%). Inequalities still exist by age, sex, and the Scottish Index of Multiple Deprivation but have not grown over time. Inequalities by sex and age are most pronounced in the least affluent Scottish Index of Multiple Deprivation quintiles; less affluent older women are least likely to report any walking. Conclusions: Scotland appears to be walking in the right direction. Surveillance data support a positive trend after decades of policy and promotion efforts. The policies do not appear to be exacerbating existing inequalities, but narrowing them will require more concentrated efforts.

Is it possible to decolonize the field of physical activity and health? Decoloniality presupposes a body-geopolitical location, such as in the Brazilian and Latin American context, where it is crucial to use social identity lenses related to race, gender, sexuality, and other social markers that affect the body. Understanding health and physical activity from a decolonial perspective would bring the oppressions that connect capitalism, patriarchy, and racism to the center of the discussion. For a “physical activity other,” we challenged the general recommendation of physical activity in the 4 domains. Physical activity should be understood as an end in itself, as a right, and as human development. Approaches that advocate physical activity at work, at home, and while commuting use other human activities to relate these domains to health without considering the inequalities and oppressions that constitute them in most parts of the world. Is it fair to apply “global recommendations” for physical activity to scenarios such as Brazil and Latin America, using models that are inappropriate to the context and history of these places, people, and cultures? Perhaps it is time to socially reorient and reposition physical activity from a decolonial perspective. We need Black, Indigenous, Latino, African, and other people from the Global South to move the research agenda, recommendations, and policies on physical activity from “any” health to a fair health.

Background: We used nationally representative data to explore associations among location of residence (rural/urban) and perceived barriers to physical activity (PA) in Canadian youth. Methods: We analyzed the 2017 Canadian Community Health Survey, Barriers to Physical Activity Rapid Response data for 12- to 17-year-old youth. Nine items from the survey assessing perceived barriers to PA were combined into 3 barrier domains: resources, motivational, and socioenvironmental. The likelihood of reporting barriers to PA based on rural–urban location was examined using survey-weighted binary logistic regression following a model fitting approach. Sociodemographic factors were modeled as covariates and tested in interaction with location. For each barrier domain, we derived the best-fitting model with fewest terms. Results: There were no location-specific effects related to reporting any barrier or motivation-related PA barriers. We found a sex by location interaction predicting the likelihood of reporting resource-related barriers. Rural boys were less likely to report resource-related barriers compared with urban boys (odds ratio [OR] = 0.42 [0.20, 0.88]). Rural girls were more likely to report resource-related barriers compared with boys (OR = 3.72 [1.66, 8.30]). Regarding socioenvironmental barriers, we observed a significant body mass index by location interaction demonstrating that rural youth with body mass index outside the “normal range” showed a higher likelihood of reporting socioenvironmental barriers compared with urban youth (OR = 2.38 [1.32, 4.30]). For urban youth, body mass index was unrelated to reporting socioenvironmental barriers (OR = 1.07 [0.67, 1.71]). Conclusion: PA barriers are not universal among Canadian youth. Our analyses highlight the importance of testing interactions in similar studies as well as considering key sociodemographic characteristics when designing interventions.