Height Quartile  
  Q1 (low) Q2 Q3 Q4 (High) P for trend Per l SD increment in height
Non-drinkers            
Number 118 107 93 84    
No. of cases  (percentage)  10 (8.5) 12 (11.2) 10 (10.8) 14(16.7)    
Model 1 1.00 1.43(0.59-3.49) 1.56(0.60-4.0l) 2.82 (1.13-7.05) 0.032 1.40 (1.01-1.93)
Model 2 1.00 1.33(0.54-3.29) 1.44(0.54-3.79) 2.76(1.08-7.01) 0.041 1.38 (1.00-1.93)
Model 3 1.00 1.34(0.53-3.34) 1.39 (0.52-3.73) 3.02(1.17-7.82) 0.032 1.44 (1.03-2.02)
Drinkers            
Number 79 89 104 113    
No. of cases  (percentage) 9 (11.4) 5(5.6) 13(12.5) 10 (8.8)    
Model 1 1.00 0.43(0.14-1.34) 0.98(0.39-2.47) 0.64 (0.24-1.71) 0.736 0.91(0.63-1.34)
Model 2 1.00 0.43(0.14-1.38) 0.98(0.38-2.50) 0.65 (0.24-1.76) 0.750 0.92 (1.63-1.36)
Model 3 1.00 0.41(0.13-1.37) 1.05 (0.40-2.75) 0.74 (0.26-2.12) 0.977 1.01 (0.67-1.53)
Model 1: Adjusted for age, Model 2: Age + other CVD risk factors (systolic blood pressure, antihypertensive medication use, body mass index, smoking, alcohol intake, and history of cardiovascular disease), Model 3: Model 2+serum HDL-cholesterol, serum triglycerides (TG) lipid-lowering medication use, serum aspartate aminotranferase (AST), serum uric acid, and serum creatinine, High quartiles: <157.9cm, l57.9-l61.7cm, 161.8-165.7 cm and >l65.7 cm.
Table 3: Odds Ratios (OR) and 95% confidence Intervals (CI) for Diabetes in relation to height stratified by drinking status.