Multivariate logistic regression analysis: factors related to 10-year incidence of diabetes
| Baseline characteristics . | OR (95% CI) . | P value . |
|---|---|---|
| Model 1* | ||
| IFG (yes vs. no) | 5.9 (3.0–11.5) | <0.001 |
| BMI (per 1-SD unit) | 1.5 (1.1–2.0) | 0.004 |
| ln HOMA-IR (per 1-SD unit) | 1.7 (1.1–2.6) | 0.009 |
| ln Sluiter’s Index (per 1-SD unit) | 0.6 (0.4–0.9) | 0.007 |
| Model 2† | ||
| IFG (yes vs. no) | 5.5 (2.8–11.0) | <0.001 |
| BMI (per 1-SD unit) | 1.5 (1.1–2.0) | 0.010 |
| ln HOMA-IR (per 1-SD unit) | 1.6 (1.1–2.5) | 0.021 |
| ln Sluiter’s Index (per 1-SD unit) | 0.7 (0.5–0.9) | 0.047 |
| Model 3‡ | ||
| IFG (yes vs. no) | 5.7 (2.8–11.4) | <0.001 |
| BMI (per 1-SD unit) | 1.5 (1.1–2.1) | 0.007 |
| ln HOMA-IR (per 1-SD unit) | 1.7 (1.1–2.5) | 0.018 |
| ln Sluiter’s Index (per 1-SD unit) | 0.7 (0.5–1.0) | 0.050 |
| Baseline characteristics . | OR (95% CI) . | P value . |
|---|---|---|
| Model 1* | ||
| IFG (yes vs. no) | 5.9 (3.0–11.5) | <0.001 |
| BMI (per 1-SD unit) | 1.5 (1.1–2.0) | 0.004 |
| ln HOMA-IR (per 1-SD unit) | 1.7 (1.1–2.6) | 0.009 |
| ln Sluiter’s Index (per 1-SD unit) | 0.6 (0.4–0.9) | 0.007 |
| Model 2† | ||
| IFG (yes vs. no) | 5.5 (2.8–11.0) | <0.001 |
| BMI (per 1-SD unit) | 1.5 (1.1–2.0) | 0.010 |
| ln HOMA-IR (per 1-SD unit) | 1.6 (1.1–2.5) | 0.021 |
| ln Sluiter’s Index (per 1-SD unit) | 0.7 (0.5–0.9) | 0.047 |
| Model 3‡ | ||
| IFG (yes vs. no) | 5.7 (2.8–11.4) | <0.001 |
| BMI (per 1-SD unit) | 1.5 (1.1–2.1) | 0.007 |
| ln HOMA-IR (per 1-SD unit) | 1.7 (1.1–2.5) | 0.018 |
| ln Sluiter’s Index (per 1-SD unit) | 0.7 (0.5–1.0) | 0.050 |
ORs, 95% CIs, and P values were derived from logistic regression analysis, which also included sex and age as covariates and were calculated for a 1-SD unit increase of continuous variables;
ORs (95% CI) and P values were derived from logistic regression analysis, which also included sex, age, hypertension, dyslipidemia, and IGT as covariates and were calculated for a 1-SD unit increase of continuous variables;
ORs and P values were derived from logistic regression analysis, which also included sex, age, alcohol, smoking, physical activity, family history of diabetes, hypertension, dyslipidemia, hyperuricemia, and IGT as covariates and were calculated for a 1-SD unit increase of continuous variables.