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Table 2 Logistic regression models for physical activity patterns

From: Physical activity from adolescence to young adulthood: patterns of change, and their associations with activity domains and sedentary time

  Inactivity maintainers Activity maintainers + increasers Decreasers from moderate PA Decreasers from high PA
  OR (95% CI) p OR (95% CI) p OR (95% CI) p OR (95% CI) p
Gender
 Female 1.0 1.0 1.0 1.0
 Male 0.5 (0.2–1.01) 0.055 0.8 (0.4–1.4) 0.376 0.8 (0.4–1.5) 0.400 7.4 (2.6–21.3) < 0.001
Sports club participation
 Maintenance or adopt 0.1 (0.02–0.2) < 0.001 3.6 (1.8–7.4) < 0.001 1.5 (0.7–3.3) 0.339 11.2 (1.4–90.0) 0.023
 Withdrawal 0.3 (0.2–0.6) 0.001 1.2 (0.6–2.5) 0.625 1.9 (0.9–4.3) 0.097 10.9 (1.3–90.7) 0.027
 Never 1.0 1.0 1.0 1.0
Active commuting
 Maintenance or adopt 0.3 (0.1–0.7) 0.004 1.7 (0.8–3.4) 0.165 1.5 (0.7–3.2) 0.343 1.3 (0.3–4.7) 0.744
 Withdrawal 0.5 (0.2–1.03) 0.061 1.0 (0.5–2.0) 0.989 1.2 (0.5–2.5) 0.708 2.3 (0.8–7.3) 0.144
 Never 1.0 1.0 1.0 1.0
Change in % of device wear-time by sedentary time 0.99 (0.96–1.02) 0.359 0.96 (.93–.98) 0.001 1.05 (1.01–1.07) 0.004 1.04 (1.001–1.083) 0.046
Model statistics:
 R2 Nagelkerke 0.324 0.179 0.113 0.347
 R2 Cox&Snell 0.223 0.131 0.076 0.182
 Hosmer&Lemeshow 0.148 0.631 0.241 0.998
  1. Note: Adjusted for change in the device wear-time. Statistically significant odds ratios are in bold. Binary analysis: separately for each pattern vs. all the others together. PA = physical activity