The Relationship between Alcohol Consumption and Incidence of Glycometabolic Abnormality in Middle-Aged and Elderly Chinese Men
Table 5
Multivariate logistic regression analysis of prediabetes (light, moderate, and heavy alcohol consumption as three separate variables).
Beta
SE
OR (95% CI)
Age (50–59)
0.671
0.186
1.955 (1.358–2.815)
<0.001
Age (60–69)
0.810
0.195
2.247 (1.534–3.292)
<0.001
Age (>70)
0.739
0.232
2.093 (1.328–3.299)
0.001
Drinking (light consumption)
0.292
0.211
1.339 (0.886–2.024)
0.512
Drinking (moderate consumption)
0.275
0.247
1.316 (0.810–2.138)
0.864
Drinking (heavy consumption)
0.584
0.280
1.794 (1.035–3.108)
0.048
Smoking
−0.061
0.141
0.941 (0.714–1.241)
0.537
Overweight
0.261
0.147
1.298 (0.974–1.730)
0.100
Obesity
0.715
0.182
2.045 (1.430–2.923)
0.001
Education = 2
0.149
0.654
1.161 (0.322–4.187)
0.613
Education = 3
0.324
0.622
1.383 (0.409–4.677)
0.869
Education = 4
0.473
0.620
1.605 (0.476–5.415)
0.902
Education = 5
0.198
0.622
1.219 (0.360–4.129)
0.988
Family history of DM
−0.081
0.218
0.923 (0.601–1.415)
0.402
Calorie intake
−0.133
0.130
0.876 (0.678–1.130)
0.331
Physical activity
0.082
0.146
1.086 (0.815–1.447)
0.214
SBP
0.003
0.004
1.003 (0.995–1.011)
0.129
HDL
0.107
0.280
1.113 (0.643–1.927)
0.301
Education: 1 = illiteracy, 0 years of education; 2 = elementary school level, 6 years of education; 3 = middle school level, 9 years of education; 4 = high school level, 12 years of education; 5 = university level or higher, 16 years of education or higher. There is a statistical significant difference between drinkers and nondrinkers ().
