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

Table 2 Logistic regression models for physical activity patterns

	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

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

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