Table 5.
Multivariate Analysis of the Association Between Diabetes Risk Factors and the Odds of Undiagnosed Type 2 Diabetes and Diagnostic Performance
| Model | Odds Ratio (95% CI) | PValue | Undiagnosed Diabetes, No. (%) | AUC (95% CI)a |
| Model 1 | 12 (12.6) | 0.54 (0.48–0.61) | ||
| Obesity (BMI >27 kg/m2) | 3.1 (1.9–5.0) | <.001 | – | – |
| Hypertension | 2.3 (1.5–3.5) | <.001 | – | – |
| Family history of diabetes | 1.4 (1.0–2.2) | .09 | – | – |
| Model 2 | 30 (31.6) | 0.60 (0.54–0.66) | ||
| Obesity | 3.0 (1.9–4.9) | <.001 | – | – |
| Hypertension | 2.3 (1.5–3.5) | <.001 | – | – |
| Model 3 | 73 (76.8) | 0.63 (0.58–0.68) | ||
| Obesity | 3.2 (2.0–5.2) | <.001 | – | – |
AUC = area under the receiver operating characteristic curve; BMI = body mass index; CI = confidence interval.
Note: Only risk factors with P =.15 in Table 4 ▶ were included.
a An AUC of 0.50 means that the model does not predict the outcome better (more accurately) or worse (less accurately) than random guess; an AUC greater than 0.50 means that the prediction is better than random, and an AUC less than 0.50 means that the prediction is worse than random.