Table 4. Multiple logistic regression model for factors associated with catastrophic health expenditure (Brazilian Longitudinal Study of Aging), 2015-2016.

Variables		Catastrophic expenditure
Variables		10% OR (95%CI)	25% OR (95%CI)
Sex
	Male	0.69 (0.58–0.81) ^a	0.59 (0.45–0.76) ^a
Age		1.02 (1.01–1.03) ^a	1.01 (1.01–1.01) ^b
Education (8+ years)
	Did not study	0.65 (0.50–0.85) ^b	0.64 (0.45–0.91) ^c
	1–3 years	0.71 (0.57–0.89) ^b	0.75 (0.59–0.96) ^c
	4–7 years	0.79 (0.67–0.93) ^d	0.82 (0.65–1.04)
Wealth score		0.95 (0.92–0.98) ^b	0.96 (0.90–1.01)
Proportion of older adults in the household		1.01 (1.00–1.01) ^a	1.01 (1.00–1.01) ^b
Multimorbidity
	Yes	1.95 (1.67–2.28) ^a	1.40 (1.11–1.76) ^b
Functional limitation
	Yes	2.06 (1.79–2.37) ^a	2.04 (1.62–2.56) ^a
Private health insurance
	Yes	1.28 (1.07–1.53) ^b	1.40 (1.11–1.76) ^b

p < 0.001

p < 0.01

p < 0.05