How environmental health burdens shape physical activity patterns: age-specific evidence from OECD countries.

According to the results of the analysis of the non-linear beta regression model applied to Model 2, among the factors affecting adult PA rate, access to sports facilities (β = 0.17157, p = 0.0194) had a statistically significant and positive effect, while internet penetration rate (β=-0.12588, p = 0.0676) showed a marginally significant and negative effect.

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Several conceptually important covariates—BMI/obesity prevalence, average annual working hours, GDP per capita, and, in Models 2–3, urban population share—did not reach statistical significance and warrant cautious interpretation.

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Statistical significance was interpreted at a 5% type I margin of error and extended to 10% for marginal significance interpretation.

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The intercept term ( p < 0.001) and the sensitivity parameter (φ = 84.2, p < 0.001) of the model were highly significant and the Pseudo R2 value of the model was 0.398, indicating that the model explained approximately 40% of the variance in the dependent variable (Table 3 ).

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