Malaria in pregnancy in rural Gabon: a cross-sectional survey on the impact of seasonality in high-risk groups

Malaria Journal

Table 2 Results of the binary logistic regression: malaria prevalence in different risk groups (2008–2011)

		n	Malaria pos. n(%)	OR* (95% CI)	AOR** (95% CI)	p-value**
Parity	Nullipara	442	114 (26%)	1.00	1.00	Ref
	Primipara	330	59 (18%)	0.63 (0.44–0.89)	0.79 (0.53–1.17)	0.231
	Multipara	738	66 (9%)	0.28 (0.20–0.39)	0.39 (0.24–0.64)	< 0.001
Age in years	13–17	262	77 (29%)	1.00	1.00	Ref
	18–22	484	83 (17%)	0.50 (0.35–0.71)	0.59 (0.40–0.88)	0.010
	23–27	339	40 (12%)	0.32 (0.21–0.49)	0.57 (0.34–0.97)	0.038
	28+	425	39 (9.2%)	0.24 (0.16–0.37)	0.51 (0.29–0.91)	0.023
Season	Low-risk	547	61 (11%)	1.00	1.00	Ref
Season	High-risk	963	178 (19%)	1.81 (1.32–2.47)	1.91 (1.39–2.63)	< 0.001
Trimester	1	163	36 (22%)	1.00	1.00	Ref
	2	496	76 (15%)	0.64 (0.41–0.99)	0.68 (0.43–1.08)	0.105
	3	57	6 (11%)	0.42 (0.16–1.04)	0.42 (0.16–1.08)	0.070

*OR (odds ratio).
**AOR (adjusted odds ratio and p-value, calculated by the binary logistic regression model).