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

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

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