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

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

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
  1. 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
  2. Abbreviations: SE standard error, OR odds ratio, CI confidence interval