Table 3.

Multivariate binary logistic regression model-predicting demographic and clinical factors linked with glycemic control status

	glycaemic control status
	Model 1	p-value	Model 2	p-value	Model 3	p-value
Demographic predictor variable
Age (yrs) Non elderly Elderly	Ref (1.00) 5.90(1.66–20.96)	0.006*	Ref (1.00) 3.94(0.91–17.05)	0.066	Ref (1.00) 5.00(1.19–20.96)	0.028*
Anthropometric predictor variable
WHR Low medium high	Ref (1.00) 2.94(0.61–14.07) 3.92(1.22–12.57)	0.177 0.022*	Ref(1.00) 2.82(0.38–20.97) 2.29(0.38–13.99)	0.312 0.368	Ref (1.00) 2.65(0.42–16.88) 1.82(0.47–6.98)	0.302 0.386
Clinical predictor variables
Fasting plasma glucose (FPG) (mmol/l)
Within tight control (3.9–7.2) Outside tight control (<3.9 or >7.2)	Ref (1.00) 17.39(5.83–51.90)	0.001*	Ref (1.00) 10.85(3.10–37.96)	0.001*	Ref (1.00) 12.08(3.64–40.09)	0.001*
Blood pressure
Systolic blood pressure (mmHg)	1.02(0.99–1.05)	0.063	1.02(0.98–1.06)	0.331	1.01(0.98–1.05)	0.377

Model 1: Crude (unadjusted) Odd Ratio for significant predictor variables

Model 2: Adjusted Odd Ratio when the influence of non-significant predictor variables: Sex, BMI, complications and DBP were accounted for

Model 3: Adjusted Odd Ratio when significant predictor variables: Age, WHR, FPG and SBP were accounted for.