Risk variables for diabetes: results of multiple logistic regression analyses
Variables . | β . | SE of β . | P . | OR (95% CI) . |
---|---|---|---|---|
Total study population | ||||
Age | 0.90 | 0.04 | <0.00001 | 2.46 (2.27–2.66) |
BMI | 0.12 | 0.06 | 0.0449 | 1.12 (1.00–1.27) |
Positive family history | 0.75 | 0.09 | <0.00001 | 2.12 (1.77–2.53) |
Waist circumference | 0.34 | 0.05 | <0.00001 | 1.40 (1.27–1.55) |
Higher education | 0.29 | 0.13 | 0.0238 | 1.34 (1.04–1.72) |
City vs. PUV | 0.61 | 0.10 | <0.00001 | 1.84 (1.51–2.24) |
Town vs. PUV | 0.32 | 0.10 | 0.0020 | 1.38 (1.13–1.67) |
City | ||||
Age | 0.97 | 0.06 | <0.00001 | 2.64 (2.12–2.97) |
Family history | 0.79 | 0.14 | <0.00001 | 2.20 (1.67–2.90) |
Waist circumference | 0.33 | 0.08 | <0.0001 | 1.39 (1.19–1.63) |
BMI | 0.14 | 0.10 | 0.150 | 1.15 (0.95–1.40) |
High income | 0.31 | 0.15 | 0.0378 | 1.36 (1.11–1.83) |
School education | −0.45 | 0.15 | 0.0025 | 0.64 (0.48–0.85) |
Town | ||||
Age | 0.98 | 0.06 | <0.00001 | 2.67 (2.14–3.00) |
Family history | 0.55 | 0.14 | <0.0001 | 1.73 (1.13–2.28) |
Waist circumference | 0.34 | 0.09 | <0.00001 | 1.40 (1.18–1.68) |
BMI | 0.05 | 0.10 | 0.624 | 1.05 (0.86–1.28) |
PUVs | ||||
Age | 0.70 | 0.07 | <0.00001 | 2.01 (1.76–2.31) |
Family history | 1.28 | 0.20 | <0.00001 | 3.61 (2.43–5.32) |
Waist circumference | 0.31 | 0.10 | 0.001 | 1.36 (1.12–1.66) |
BMI | 0.20 | 0.11 | 0.072 | 1.22 (0.98–1.52) |
Variables . | β . | SE of β . | P . | OR (95% CI) . |
---|---|---|---|---|
Total study population | ||||
Age | 0.90 | 0.04 | <0.00001 | 2.46 (2.27–2.66) |
BMI | 0.12 | 0.06 | 0.0449 | 1.12 (1.00–1.27) |
Positive family history | 0.75 | 0.09 | <0.00001 | 2.12 (1.77–2.53) |
Waist circumference | 0.34 | 0.05 | <0.00001 | 1.40 (1.27–1.55) |
Higher education | 0.29 | 0.13 | 0.0238 | 1.34 (1.04–1.72) |
City vs. PUV | 0.61 | 0.10 | <0.00001 | 1.84 (1.51–2.24) |
Town vs. PUV | 0.32 | 0.10 | 0.0020 | 1.38 (1.13–1.67) |
City | ||||
Age | 0.97 | 0.06 | <0.00001 | 2.64 (2.12–2.97) |
Family history | 0.79 | 0.14 | <0.00001 | 2.20 (1.67–2.90) |
Waist circumference | 0.33 | 0.08 | <0.0001 | 1.39 (1.19–1.63) |
BMI | 0.14 | 0.10 | 0.150 | 1.15 (0.95–1.40) |
High income | 0.31 | 0.15 | 0.0378 | 1.36 (1.11–1.83) |
School education | −0.45 | 0.15 | 0.0025 | 0.64 (0.48–0.85) |
Town | ||||
Age | 0.98 | 0.06 | <0.00001 | 2.67 (2.14–3.00) |
Family history | 0.55 | 0.14 | <0.0001 | 1.73 (1.13–2.28) |
Waist circumference | 0.34 | 0.09 | <0.00001 | 1.40 (1.18–1.68) |
BMI | 0.05 | 0.10 | 0.624 | 1.05 (0.86–1.28) |
PUVs | ||||
Age | 0.70 | 0.07 | <0.00001 | 2.01 (1.76–2.31) |
Family history | 1.28 | 0.20 | <0.00001 | 3.61 (2.43–5.32) |
Waist circumference | 0.31 | 0.10 | 0.001 | 1.36 (1.12–1.66) |
BMI | 0.20 | 0.11 | 0.072 | 1.22 (0.98–1.52) |
The dependent variable was diabetes vs. normal glucose tolerance. Independent variables in all models were age, sex, family history, BMI, waist circumference, income, physical activity, occupation, and education.