Table 9 Single and multilevel logistic regression model summaries for high ACR (ACR ≥ 30 mcg/L to mg/L).

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

 

Single level model

Multilevel models

Model 0

Model 1

Model 2

Model 3

Model 4

Significance (LRT)

***

***

***

***

***

High ACR

OR (95% CI)

OR (95% CI)

OR (95% CI)

OR (95% CI)

OR (95% CI)

Intercept

0.02 (0.02–0.03)

0.04 (0.04–0.04)

0.02 (0.02–0.03)

0.03 (0.02–0.03)

0.02 (0.01–0.02)

Sex

Female

Reference

 

Male

1.74 (1.59–1.91)

 

1.75 (1.59–1.92)

 

1.76 (1.60–1.93)

Age

18–29

Reference

 

 

30–39

0.99 (0.69–1.45)

 

1.00 (0.69–1.45)

 

0.99 (0.68–1.44)

40–49

0.68 (0.49–0.98)

 

0.69 (0.49–0.97)

 

0.70 (0.49–0.98)

50–59

0.76 (0.56–1.06)

 

0.77 (0.56–1.05)

 

0.77 (0.56–1.05)

60–69

0.95 (0.70–1.30)

 

0.95 (0.70–1.30)

 

0.95 (0.70–1.29)

70–79

1.54 (1.15–2.11)

 

1.55 (1.14–2.09)

 

1.52 (1.12–2.05)

80+

2.73 (2.04–3.74)

 

2.74 (2.02–3.71)

 

2.65 (1.96–3.59)

IRSD

Q-5

   

Reference

Q-4

   

1.31 (1.10–1.57)

1.25 (1.04–1.50)

Q-3

   

1.39 (1.16–1.65)

1.27 (1.06–1.51)

Q-2

   

1.61 (1.36–1.90)

1.45 (1.23–1.72)

Most D Q-1

   

2.02 (1.72–2.38)

1.84 (1.56–2.16)

AIC

16,596

17,130.0

16,585.2

17,053.0

16,527.2

Variance

 

0.092

0.073

0.044

0.036

PCV

 

− 20.53%

− 52.88%

− 61.19%

ICC (%)

 

2.7

2.2

1.3

1.1

MOR

 

1.34

1.30

1.22

1.20

AUC

0.65

0.70

0.69

0.62

0.67

AUC change

  

+ 0.04

  

Proportional variance explained by IRSD: 51.17%

  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—M1 + individual-level: age + sex; Model 3—Model 1 + Area level: IRSD quintiles of SA1s; Model 4—Model 1 + Model 2 + Model 3.