An intersectional analysis providing more precise information on inequities in self-rated health

Table 3 Odds ratios (OR) and area under the receiver operating characteristics curve (AU-ROC) with 95% confidence intervals (CIs) obtained from five consecutive logistic regression analyses modelling self-rated general health as a function of gender, income and immigration status as well as their combination as intersectional strata. All models are adjusted for age and survey year

	Model 1*	Model 2	Model 3	Model 4	Model 5
		OR (95% CI)	OR (95% CI)	OR (95% CI)	OR (95% CI)
Gender
Women		1.22 (1.16–1.28)	1.16 (1.10–1.21)	1.16 (1.11–1.21)
Men		Reference	Reference	Reference
Income
Low			3.27 (3.05–3.50)	3.07 (2.87–3.27)
Middle			1.92 (1.80–2.05)	1.86 (1.74–1.99)
High			Reference	Reference
Immigration status
Native				Reference
Immigrant				1.86 (1.76–1.96)
Intersectional strata
Men/High income/Native					Reference
Women/High income/Native					1.31 (1.16–1.47)
Men/High income/Immigrant					1.86 (1.46–2.37)
Men/Middle income/Native					1.97 (1.75–2.21)
Women/Middle income/Native					2.37 (1.14–2.66)
Men/Middle income/Immigrant					3.87 (2.28–4.56)
Women/High income/Immigrant					3.07 (2.53–3.73)
Men/Low income/Native					3.70 (3.30–4.15)
Women/Low income/Native					3.76 (3.37–4.19)
Women/Middle income/Immigrant					4.70 (4.04–5.46)
Men/Low income/Immigrant					5.60 (4.79–6.54)
Women/Low income/Immigrant					7.00 (6.14–7.97)
AU-ROC	0.60 (0.60–0.61)	0.61 (0.60–0.61)	0.66 (0.66–0.67)	0.67 (0.67–0.68)	0.67 (0.67–0.68)
Δ-AU-ROC	Reference	0.01	0.06	0.07	0.07

* Model 1 is adjusted for age and survey year. Δ-AUC: increment in the AU-ROC compared to Model 1

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