1921
Volume 77, Issue 2
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645

Abstract

Malaria infection during pregnancy (MiP) is heterogeneously distributed even in malaria-endemic countries. Program planners require data to facilitate identification of highest-priority populations for MiP control. Using data from two cross-sectional studies of 5,528 pregnant women in 8 neighboring sites in Mozambique, we described factors associated with maternal peripheral parasitemia by using logistic regression. Principal multivariate predictors of maternal peripheral parasitemia were gravidity (odds ratio [OR] = 2.29, 95% confidence interval [CI] = 1.60–3.26 for primigravidae and OR = 1.61, 95% CI = 1.29–2.01 for secundigravidae compared with gravidity ≥ 3); age (OR = 0.96 per year, 95% CI = 0.94–0.99); study site (OR = 1.45, 95% CI = 1.34–1.56 to 5.32, 95% CI = 4.92–5.75) for comparison with the reference site; and no maternal education (OR = 1.38, 95% CI = 1.15–1.66) compared with any education. Other predictors (in subgroups) were bed net use (OR = 0.49, 95% CI = 0.48–0.50); preventive sulfadoxine-pyrimethamine doses (OR = 0.25, 95% CI = 0.24–0.25); and infection with human immunodeficiency virus (HIV) (OR = 1.49, 95% CI = 1.11–2.00). Programmatic priorities should respond to heterogeneous distribution of multiple risk factors, including prevalance of malaria and infection with HIV, and maternal socioeconomic status.

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2007-08-01
2017-09-19
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  • Received : 25 Sep 2006
  • Accepted : 12 Apr 2007

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