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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).