Area-level socioeconomic characteristics and incidence of metabolic syndrome: a prospective cohort study

BMC Public Health

Table 3 Association between area-level income and MetS incidence according to individual-level income

	<20,00 AUD	20,000-60,00 AUD	>60,000 AUD
	RR (95%CI) (n = 538)	RR (95%CI) (n = 913)	RR (95%CI) (n = 426)
Model 1
Median household weekly income (per 1 sd increase)	0.90 (0.75-1.08)	0.92 (0.82-1.03)	1.31 (1.07-1.62) ^a
Model 2
Median household weekly income (per 1 sd increase)	0.87 (0.72-1.05)	0.92 (0.81-1.05)	1.31 (1.05-1.62) ^a
Individual-level education
Bachelor degree (No)
Bachelor degree (Yes)	2.27 (1.08-4.80) ^a	0.96 (1.57-1.62)	1.18 (0.71-1.96)
Model 3
Median household weekly income (per 1 sd increase)	0.88 (0.73-1.05)	0.91 (0.80-1.04)	1.29 (1.04-1.60) ^a
Individual-level education
Bachelor degree (No)
Bachelor degree (Yes)	2.54 (1.19-5.43) ^a	0.94 (0.55-1.62)	0.94 (0.56-1.59)
Model 4
Median household weekly income (per 1 sd increase)	0.92 (0.78 – 1.10)	0.98 (0.95 -1.00)	1.30 (1.05-1.62) ^a
Individual-level education
Bachelor degree (No)	Ref	Ref	Ref
Bachelor degree (Yes)	2.73 (1.23-6.06) ^a	1.05 (0.61-1.81)	0.96 (0.57-1.61)

^a p < 0.05.
Model 1: Adjusted for age and gender.
Model 2: Adjusted for age and gender, and individual SEP.
Model 3: Adjusted for all variables in model 2 plus physical activity, smoking habit, and alcohol consumption.
Model 4: Adjusted for all variables in model 2 plus area-level income (for area-level education) or area-level education (for area-level income).

ISSN: 1471-2458