Table 6 Single and multilevel logistic regression model summaries for high HbA1c (HbA1c > 7.5%).

From: Geographic variation in cardiometabolic risk factor prevalence explained by area-level disadvantage in the Illawarra-Shoalhaven region of the NSW, Australia

Ā 

Single level model

Multilevel models

Model 0

Model 1

Model 2

Model 3

Model 4

Significance (LRT)

***

***

***

***

***

High HbA1c

OR (95% CI)

OR (95% CI)

OR (95% CI)

OR (95% CI)

OR (95% CI)

Intercept

0.07 (0.06–0.08)

0.12 (0.12–0.12)

0.07 (0.06–0.07)

0.08 (0.08–0.09)

0.05 (0.04–0.05)

Sex

Female

Reference

Ā 

–

Ā 

–

Male

1.37 (1.31–1.43)

Ā 

1.38 (1.32–1.45)

Ā 

1.39 (1.32–1.45)

Age

18–29

Reference

Ā 

–

Ā 

–

30–39

0.81 (0.68–0.96)

Ā 

0.81 (0.68–0.96)

Ā 

0.81 (0.68–0.96)

40–49

1.22 (1.06–1.42)

Ā 

1.24 (1.07–1.44)

Ā 

1.26 (1.08–1.46)

50–59

1.53 (1.34–1.77)

Ā 

1.56 (1.36–1.80)

Ā 

1.57 (1.36–1.81)

60–69

1.61 (1.40–1.85)

Ā 

1.64 (1.43–1.88)

Ā 

1.64 (1.43–1.88)

70–79

1.63 (1.42–1.87)

Ā 

1.64 (1.42–1.88)

Ā 

1.62 (1.41–1.86)

80 + 

1.64 (1.43–1.90)

Ā 

1.63 (1.41–1.88)

Ā 

1.60 (1.39–1.85)

IRSD

Q-5

Ā Ā Ā 

Reference

–

Q-4

Ā Ā Ā 

0.08 (0.08–0.09)

1.15 (1.04–1.28)

Q-3

Ā Ā Ā 

1.14 (1.03–1.27)

1.39 (1.26–1.54)

Q-2

Ā Ā Ā 

1.40 (1.27–1.54)

1.55 (1.41–1.71)

Most D Q-1

Ā Ā Ā 

1.54 (1.40–1.69)

2.02 (1.84–2.22)

AIC

49,897

50,114.5

49,690.2

49,875.3

49,453.3

Variance

Ā 

0.103

0.106

0.047

0.049

PCV

Ā 

–

+ 3.02%

āˆ’ā€‰54.82%

āˆ’ā€‰51.91%

ICC (%)

Ā 

3.0

3.1

1.4

1.5

MOR

Ā 

1.36

1.36

1.23

1.24

AUC

0.56

0.63

0.64

0.61

0.63

AUC change†

Ā Ā 

+ 0.08

Ā Ā 

Proportional variance explained by IRSD: 53.31%

  1. ***p < 0.001; †Change in Model 2 in relation to Model 0; Model 0—Single level model adjusted for age + sex; Model 1—null model at SA1 level; Model 2—Model 1 + individual-level: age + sex; Model 3—Model 1 + Area level: IRSD quintiles of SA1s; Model 4—Model 1 + Model 2 + Model 3.