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Table 4—

Logistic regression identifying independent predictors of diabetes (KDM and NDM)* in a combined data set of AusDiab (1999–2000) and Busselton (1981)legend

Variable as diabetes predictorβ95% CI for βOdds ratio (95% CI)P value
Sex (male versus female) 0.273 0.14–0.41 1.31 (1.15–1.50) <0.001 
Age (per year) 0.063 0.058–0.069 1.07 (1.06–1.07) <0.001 
Survey (AusDiab versus Busselton) 0.851 0.64–1.06 2.34 (1.90–2.90) <0.001 
BMI (per unit increase) 0.117 0.10–0.13 1.12 (1.10–1.14) <0.001 
Constant −8.90 −9.45 to −8.35   
Variable as diabetes predictorβ95% CI for βOdds ratio (95% CI)P value
Sex (male versus female) 0.273 0.14–0.41 1.31 (1.15–1.50) <0.001 
Age (per year) 0.063 0.058–0.069 1.07 (1.06–1.07) <0.001 
Survey (AusDiab versus Busselton) 0.851 0.64–1.06 2.34 (1.90–2.90) <0.001 
BMI (per unit increase) 0.117 0.10–0.13 1.12 (1.10–1.14) <0.001 
Constant −8.90 −9.45 to −8.35   
legend

β is the regression coefficient for the exponential. Sex, age, survey site, and BMI were the only variables entered into the regression. NDM was identified by 2hPG only in both surveys.

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