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Demographic and Spatial Predictors of Anemia in Women of Reproductive Age in Timor-Leste: Implications for Health Program Prioritization

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  • Andrew A Lover
  • Mikael Hartman
  • Kee Seng Chia
  • David L Heymann

Abstract

Anemia is a significant risk factor for poor health outcomes for both the mother and neonate; however, the determinants of anemia in many epidemiological settings are poorly understood. Using a subset of a nationally representative cluster survey (2010 Demographic and Health Survey) in combination with other non-contemporaneous survey data, the epidemiology of anemia among women of reproductive age in Timor-Leste has been explored. Logistic regression was used to identify risk factors, population-level impacts were estimated as population attributable fractions and spatial analytics were used to identify regions of highest risk. The DHS survey found that ∼21% of adult women in Timor-Leste are anemic (49,053; 95% CI: 37,095 to 61,035), with hemoglobin

Suggested Citation

  • Andrew A Lover & Mikael Hartman & Kee Seng Chia & David L Heymann, 2014. "Demographic and Spatial Predictors of Anemia in Women of Reproductive Age in Timor-Leste: Implications for Health Program Prioritization," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-10, March.
    • Handle: RePEc:plo:pone00:0091252
    DOI: 10.1371/journal.pone.0091252
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    References listed on IDEAS

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    1. Kellie J. Archer & Stanley Lemeshow, 2006. "Goodness-of-fit test for a logistic regression model fitted using survey sample data," Stata Journal, StataCorp LP, vol. 6(1), pages 97-105, March.
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