Table 3.
Associations between individual factors and time spent in POS
| Individual factors | Logistic regressiona | Gamma modelb | ||
|---|---|---|---|---|
| OR | 95% CI | Exp. B | 95% CI | |
| Gender (ref = male) | 1.82 | 0.88–3.79 | 0.98 | 0.69–1.38 |
| Education (ref = general) | ||||
| Vocational | 1.09 | 0.41–2.88 | 1.42 | 0.65–3.11 |
| Technical | 8.09° | 0.97–67.62 | 1.15 | 0.61–2.15 |
| Age | 1.00 | 0.70–1.43 | 1.05 | 0.88–1.26 |
| Ethnicity (ref = Belgium) | 2.20° | 1.88–5.49 | 1.25 | 0.84–1.86 |
| Sport club membership (ref = yes) | 1.80 | 0.85–3.85 | 1.21 | 0.87–1.68 |
OR odds ratio, CI confidence interval, Exp. B exponent of B, POS public open space, ref reference category, min minutes, ° α < 0.1 = trend towards significance
aThe logistic regression model estimated the association of the independent factors with the odds of having visited a POS
bThe Gamma models (Exp. B) estimated the proportional difference in min spent in POS associated with a one-unit difference in the independent variables for adolescents that had visited a POS. Analyses were controlled for mean temperature, residence, POS visits/day, total wear time (mean min/day), and amount of days. All Gamma models were fitted using the log link function