Association between physical activity trajectories and successful aging in middle-aged and elderly Chinese individuals: a longitudinal study

Table 3 Association between PA levels and successful aging in 2020 based on logistic regression model analysis

Variables	Model 1		Model 2		Model 3
Variables	OR(95%CI)	P	OR(95%CI)	P	OR (95% CI)	P
Age	0.95(0.92–0.96)	< 0.001	0.95(0.93–0.97)	< 0.001	0.953(0.93–0.97)	< 0.001
Gender(male)	2.23(1.61–3.09)	< 0.001	1.29(0.85–1.94)	0.222	1.30(0.86–1.96)	0.213
Residential area(rural)	0.77(0.56–1.06)	0.114	0.82(0.58–1.14)	0.242	0.82(0.58–1.15)	0.257
Education level		0.001		0.004		0.004
≤Primary school	1.00(ref.)		1.00(ref.)		1.00(ref.)
Middle school	1.68(1.18–2.41)	< 0.001	1.61(1.12–2.33)	0.010	1.62(1.12–2.34)	0.010
≥high school	2.02(1.32–3.08)	< 0.001	1.93(1.24–2.99)	0.003	1.95(1.26–3.04)	0.003
Marital status(married)	0.91(0.58–1.51)	0.730	0.84(0.50–1.41)	0.516	0.85(0.51–1.42)	0.535
Current smoke(yes)			0.73(0.50–1.07)	0.108	0.71(0.49–1.05)	0.087
Current alcohol(yes)			0.48(0.34–0.68)	< 0.001	0.50(0.35–0.70)	< 0.001
Sleep duration				< 0.001		< 0.001
Short sleep			0.31(0.21–0.47)	< 0.001	0.31(0.21–0.47)	< 0.001
Medium sleep			1.00(ref.)		1.00(ref.)
Long sleep			0.59(0.28–1.24)	0.167	0.62(0.29–1.29)	0.200
PA levels						0.049
Low					1.00(ref.)
Medium					2.16(1.10–4.28)	0.026
High					2.22(1.17–4.22)	0.015

Model 1: Age, gender, residence, education; Model 2: Model 1, Current smoking status, Current alcohol status, Sleep duration; Model 3: Model 2, PA level

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