The prevalence of alcohol dependence and its association with hypertension: a population-based cross-sectional study4 in Xuzhou city, China

Table 3 Logistic regression analysis of the association between alcohol dependence and hypertension

Variables	β	SE	Wald	P value	OR	95% CI
Model 1
Nonalcoholic			51.94	< 0.01	1
Independence	−0.05	0.13	0.18	>0.05	0.95	0.71~ 1.21
Low dependence	0.34	0.09	15.48	< 0.01	1.40	1.12~ 1.65
Light dependence	0.33	0.07	23.30	< 0.01	1.39	1.16~ 1.60
Medium dependence	0.48	0.11	17.76	< 0.01	1.61	1.13~ 2.01
Model 2
Nonalcoholic			29.78	< 0.01	1
Independence	−0.03	0.16	0.04	>0.05	0.97	0.70~ 1.34
Low dependence	0.37	0.12	9.63	< 0.01	1.44	1.14~ 1.81
Light dependence	0.30	0.10	9.18	< 0.01	1.35	1.11~ 1.64
Medium dependence	0.61	0.14	18.97	< 0.01	1.83	1.40~ 2.41

Caution: Model 1, univariate logistic regression; model 2, multiple logistic regression after adjusting for confounding factors including age, sex, BMI, marital status, average monthly income, level of education, cigarette smoking, physical activity, and area
Abbreviations: SE standard error, OR odds ratio, CI confidence interval

ISSN: 1471-2458