Hypertension is associated with osteoporosis: a case-control study in Chinese postmenopausal women

Table 3 Multivariate Logistic regression analysis for the effect of independent variables

	Univariate Logistic regression			Multivariate Logistic regression
	OR	95% CI	P	OR	95% CI	P
Age (year)	1.061	1.046–1.076	< 0.001	1.047	1.031–1.063	< 0.001
Height (m)	0.003	0.001–0.020	< 0.001	0.053	0.007–0.421	0.006
Weight (kg)	0.971	0.960–0.982	< 0.001	0.979	0.967–0.992	0.002
BMI (kg/m²)	0.966	0.937–0.996	0.024
Menarche age (year)	1.063	1.015–1.113	0.009	1.061	1.012–1.114	0.015
Menopause age (year)	0.970	0.944–0.998	0.033	0.960	0.933–0.988	0.006
Drinking coffee	1.303	0.737–2.304	0.363
Drinking tea	1.401	1.036–1.894	0.028
Drinking milk	1.588	1.592–2.353	< 0.001	1.832	1.495–2.246	< 0.001
Hypertension	1.558	1.258–2.006	< 0.001	1.303	1.012–1.677	0.040
Coronary heart disease	1.927	1.297–2.864	0.001
Cerebral infarction	1.395	0.593–3.280	0.445

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