Table 3.

Binary logistic analysis for the association between physical activity and diabetes prevalence in various subgroups.

Subgroup	Variables	N	OR (95% CI)	p-value
Sex
Female	Q2	2,275	0.88 [0.75, 1.04]	0.133
	Q3	2,379	0.88 [0.75, 1.05]	0.152
	Q4	1912	0.75 [0.62, 0.91]	0.004
	p for trend			0.008
Male	Q2	1800	0.91 [0.75, 1.09]	0.283
	Q3	1898	0.78 [0.64, 0.95]	0.011
	Q4	2,378	0.59 [0.48, 0.73]	<0.001
	p for trend			<0.001
Age (years)
45–59	Q2	1734	0.89 [0.72, 1.1]	0.277
	Q3	2092	0.76 [0.62, 0.94]	0.012
	Q4	2,408	0.61 [0.49, 0.76]	<0.001
	p for trend			<0.001
60–69	Q2	1,459	0.83 [0.69, 1.01]	0.066
	Q3	1,447	0.83 [0.68, 1.01]	0.063
	Q4	1,447	0.62 [0.49, 0.77]	<0.001
	p for trend			<0.001
70+	Q2	882	0.95 [0.75, 1.21]	0.68
	Q3	738	0.91 [0.7, 1.19]	0.487
	Q4	435	0.87 [0.6, 1.24]	0.43
	p for trend			0.354
Residency
Urban	Q2	2032	0.91 [0.78, 1.07]	0.272
	Q3	1704	0.79 [0.66, 0.95]	0.013
	Q4	1,084	0.59 [0.46, 0.75]	<0.001
	p for trend			<0.001
Rural	Q2	2043	0.86 [0.72, 1.04]	0.115
	Q3	2,573	0.87 [0.73, 1.04]	0.139
	Q4	3,206	0.72 [0.6, 0.86]	<0.001
	p for trend			0.001

Data are presented as odds ratio (95% confidence interval); Q quartiles; Q1 was used as the reference; model were adjusted for age, sex, residency, education level, smoking status, drinking status, daily living ability, hypertension, heart disease, and depression.