Research Article

Long-Term Tea Consumption Is Associated with Reduced Risk of Diabetic Retinopathy: A Cross-Sectional Survey among Elderly Chinese from Rural Communities

Table 3

Multivariate logistic regression models of tea consumption and diabetic retinopathy.

Number ofModel 1aModel 2bModel 3c
DRNon-DRBOR (95% CI)BOR (95% CI)BOR (95% CI)

Duration of tea consumption (y)-0.020.98 (0.96–1.00)0.059-0.030.97 (0.95–1.00)0.041-0.030.97 (0.95–1.00)0.046
Duration of tea consumption group
 Non-tea consumption3929201Ref01Ref01Ref
 1–19 years9410.551.74 (0.77–3.91)0.1830.441.55 (0.66–3.65)0.3180.571.76 (0.65–4.77)0.263
 ≥20 years6133-0.950.39 (0.15–1.00)0.051-0.990.37 (0.14–0.97)0.042-1.220.29 (0.09–0.97)0.044
Frequency of tea consumption
 Non-tea consumption3929201Ref01Ref01Ref
 1–5 times/week316-0.390.68 (0.32–1.45)0.319-0.540.58 (0.27–1.28)0.179-0.70.50 (0.19–1.29)0.15
 >5 times/week121580.371.44 (0.40–5.19)0.5760.41.48 (0.41–5.41)0.5490.862.37 (0.57–9.84)0.236
Tea type
 Non-tea consumption3929201Ref01Ref01Ref
 Green tea13155-0.260.77 (0.37–1.61)0.487-0.390.68 (0.32–1.45)0.315-0.310.74 (0.30–1.79)0.5
 Non-green tea219-0.150.86 (0.19–3.88)0.847-0.190.83 (0.18–3.76)0.806-0.790.46 (0.05–4.01)0.479

Note. DR: diabetic retinopathy; OR: odds ratio; 95% CI: 95% confident interval. aModel 1 was adjusted for age and gender. bModel 2 was adjusted for age, gender, and covariates with in univariate analysis in Table 3, including individual monthly income, FBG, and SBP. cModel 3 was adjusted for age, gender, and covariates with in univariate analysis in Table 3, including occupation, educational level, individual monthly income, smoking, alcohol consumption, duration of diabetes, BMI, FBG, TG, HDL-C, and SBP. Bold type indicates statistical significance ( < 0.05).