Table 3.

Pairwise multinomial logistic regression according to employment, educational attainment, wealth quintile, location and region with 95% CIs

		Household sHs exposure
		Pregnant women (n)	Daily (95% CI)	some (95% CI)	Never (95% CI)
Employment	Working	23 449	0.25 (0.24 to 0.25)	0.05 (0.04 to 0.05)	0.71 (0.70 to 0.71)
	Not working	17 516	0.25 (0.24 to 0.26)	0.04 (0.04 to 0.05)	0.71 (0.70 to 0.71)
Educational attainment	No education	14 490	0.26 (0.25 to 0.27)	0.04 (0.03 to 0.04)	0.71 (0.70 to 0.71)
	Primary	11 709	0.27 (0.26 to 0.28)	0.05 (0.05 to 0.06)	0.68 (0.67 to 0.69)
	Secondary	12 016	0.24 (0.23 to 0.25)	0.05 (0.04 to 0.06)	0.71 (0.70 to 0.72)
	Higher	2748	0.20 (0.18 to 0.22)	0.05 (0.04 to 0.06)	0.75 (0.73 to 0.77)
Wealth quintile	Poorest	9825	0.31 (0.30 to 0.32)	0.05 (0.04 to 0.05)	0.65 (0.64 to 0.66)
	Poorer	8895	0.26 (0.25 to 0.27)	0.05 (0.04 to 0.05)	0.69 (0.68 to 0.70)
	Middle	8077	0.26 (0.25 to 0.27)	0.05 (0.04 to 0.05)	0.69 (0.68 to 0.70)
	Richer	7527	0.22 (0.21 to 0.23)	0.05 (0.04 to 0.05)	0.73 (0.72 to 0.74)
	Richest	6641	0.17 (0.16 to 0.19)	0.04 (0.04 to 0.05)	0.78 (0.77 to 0.80)
Location	Urban	13 393	0.28 (0.27 to 0.29)	0.04 (0.04 to 0.05)	0.68 (0.67 to 0.69)
	Rural	27 572	0.23 (0.23 to 0.24)	0.05 (0.05 to 0.05)	0.72 (0.71 to 0.72)
Region	SSA	28 745	0.18 (0.17 to 0.18)	0.04 (0.04 to 0.04)	0.78 (0.78 to 0.79)
	SEA	3753	0.60 (0.58 to 0.62)	0.11 (0.09 to 0.12)	0.30 (0.28 to 0.32)
	MENA	4857	0.50 (0.48 to 0.52)	0.03 (0.02 to 0.03)	0.47 (0.45 to 0.50)
	LAC	2148	0.09 (0.08 to 0.11)	0.04 (0.03 to 0.05)	0.86 (0.84 to 0.88)
	EURO	1462	0.28 (0.25 to 0.31)	0.05 (0.04 to 0.07)	0.66 (0.63 to 0.70)

EURO, Europe; LAC, Latin America and Caribbean; MENA, Middle East and North Africa; SEA, South East Asia; SHS, secondhand smoke; SSA, Sub-Saharan Africa.