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. 2023 Sep 21;10:1243908. doi: 10.3389/fnut.2023.1243908

Table 2.

Multivariable logistic regression to assess the association of zinc intake with Helicobacter pylori seropositivity.

Model Zinc continuity Quartile p for trend
Q1 (<5.97) Q2 (5.97–8.92) Q3 (8. 92–13.16) Q4 (>13.16)
OR 95CI p value OR_95CI p value OR_95CI p value OR_95CI p value OR_95CI p value p value
Model 1 0.98 (0.97 ~ 0.99) <0.001 1 (Ref) 0.65 (0.53 ~ 0.8) <0.001 0.68 (0.56 ~ 0.84) <0.001 0.56 (0.45 ~ 0.69) <0.001 <0.001
Model 2 0.99 (0.98 ~ 1) 0.084 1 (Ref) 0.71 (0.57 ~ 0.89) 0.003 0.82 (0.65 ~ 1.03) 0.085 0.73 (0.58 ~ 0.93) 0.01 0.039
Model 3 0.99 (0.98 ~ 1) 0.06 1 (Ref) 0.7 (0.56 ~ 0.88) 0.003 0.8 (0.64 ~ 1.01) 0.064 0.72 (0.57 ~ 0.91) 0.007 0.027

Model 1: No adjustment. Model 2: Adjusted for age, gender, marital status, poverty-income ratio, and education. Model 3: Adjusted for age, gender, marital status, poverty-income ratio, education, body mass index, cardiovascular disease (heartfailure, coronary heart disease, and angina, heart attack), smoking, alcohol, diabetes, and serum indicators (CRP, albumin, total cholesterol, and creatinine). Hp, Helicobacter pylori; CRP, C-reactive protein; CI, confidence interval; OR, odds ratios; Ref, reference.