Physical Activity Report Card Indicators and the United Nations Sustainable Development Goals: Insights From Global Matrix 4.0.

BACKGROUND: The World Health Organization recognizes that physical activity (PA) during childhood is crucial for healthy development, aligning well with the achievement of several United Nations (UN) Sustainable Development Goals (SDGs). This study aimed to explore the associations between 10 key indicators of PA for children and adolescents assessed in the Global Matrix 4.0 project, and the UN SDGs. METHODS: Data from 57 countries/jurisdictions of the Global Matrix 4.0 project were used. The UN SDG indicators were sourced from the SDG Transformation Center, which publishes each country's performance on each of the 17 SDGs. Given the robust evidence supporting plausible links between PA and SDGs 3 (good health and well-being), 9 (industry, innovation, and infrastructure), 11 (sustainable cities and communities), 13 (climate action), and 16 (peace, justice, and strong institutions), these SDGs were investigated. RESULTS: Countries/jurisdictions with good and moderate performance in achieving SDG 3, SDG 9, SDG 11, and SDG 16 had higher grades than countries/jurisdictions with fair performance in achieving these SDGs for the following indicators: Organized Sports and PA, Community and Environment, and Government Investments and Strategies. However, countries/jurisdictions with good performance in achieving SDG 13 had lower grades than countries/jurisdictions with fair performance in achieving SDG 13 for the following indicators: Organized Sports and PA, Community and Environment, and Government Investments and Strategies. CONCLUSIONS: Organized Sports and PA, Community and Environment, and Government Investments and Strategies were the indicators that demonstrated differences between countries/jurisdictions with good and poor performance in achieving the SDGs.

Association Between Physical Activity Indicators and Human Development Index at a National Level: Information From Global Matrix 4.0 Physical Activity Report Cards for Children and Adolescents.

BACKGROUND: The aim of this study was to explore the associations between the 10 key indicators of the Global Matrix 4.0 project and human development index (HDI) at a national level according to sex, age, area of residence, and ability levels. METHODS: Information from the 57 countries/localities included in the Global Matrix 4.0 project was compiled and presented according to the HDI of each country/locality for each of the 10 key indicators. Grades were assigned based on the benchmarks of the Global Matrix 4.0 project ranged between "A+" (best performance) and "F" (worst performance). RESULTS: The population subgroups of females, children, rural residents, with/without disabilities from countries/localities with higher HDI performed better in the organized sport and physical activity indicator than their peers from countries/localities with lower HDI. Children and adolescents living in rural areas of countries/localities with higher HDI showed better performance for active play, and children and adolescents living in urban areas of countries/localities with lower HDI showed better performance for the active transportation. Countries/localities with higher HDI showed better grades for sources of influence than the countries/localities with lower HDI. CONCLUSIONS: Physical activity patterns in some population subgroups of children and adolescents differed according to the development level of countries/localities.

Body mass index and movement behaviors among schoolchildren from 13 countries across a continuum of human development indices: A multinational cross-sectional study.

OBJECTIVE: This study describes the distributions of body mass index (BMI) and movement behaviors among schoolchildren from 13 countries across a continuum of human development. METHODS: Data were from a cross-sectional study of 9-11-year-old children (n = 8055) recruited from 269 urban schools in 13 countries, and an additional 7 rural schools in one of these countries (Mozambique). BMI was derived from objectively measured heights and weights. Moderate- to vigorous-intensity physical activity (MVPA), sedentary time (SED), and sleep duration were assessed by waist-worn Actigraph GT3X+ accelerometers. Linear models were used to describe the distributions of BMI z-scores, MVPA, SED, and sleep among sites across varying Human Development Indices (HDIs). RESULTS: Mean MVPA, SED, and sleep duration were 63.1 ± 27.3 minutes/day, 508.7 ± 72.4 minutes/day, and 8.8 ± 0.9 hours/night, respectively. Overall, 2.1% of the sample were thin, 19.5% overweight, and 11.7% were obese. Density curves (BMI z-scores and SED) for urban children in Mozambique showed significantly higher mean values compared with rural children. Boys had significantly higher mean MVPA compared with girls. Mean BMI z-scores were positively associated (ß = .02; P = .004) with HDI, mean daily MVPA minutes were negatively associated (ß = -.38; P = .025) with HDI, and mean SED time was positively associated with HDI (ß = 1.18; P = .049). No significant association (ß = .01; P = .29) was observed between sleep duration and HDI. CONCLUSION: Our findings show distinct differences in BMI and movement behavior profiles between urban and rural children in Mozambique. Mean BMI z-scores, MVPA, and SED differed by country HDI. These findings support the need to include both rural and urban participants in study samples.