ArticlePublic health in practice (Oxford, England)2021
Predictors of wealth index in Malawi - Analysis of Malawi demographic Health Survey 2004-2015/16.
Article in Public health in practice (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- A new test of an old hypothesis: The link between women's perceptions of mortality conditions and their perceptions of modern healthcare amid demographic transition.Population studies · 2025Article
- Child Death and Mothers' Subsequent Mental Health in a High-Mortality African Community.Population and development review · 2024Article
- Environmental Drivers and Potential Distribution ofMicroorganisms · 2021Article
- Teenage pregnancy and its predictors in Africa: A systematic review and meta-analysis.International journal of health sciencesReview
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7 authors.
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Abstract
Objectives: To examine the wealth index over a decade utilizing Malawi's Demographic and Health (DHS) survey data from 2004, 2010, and 2015/16, and to explore factors that predict higher wealth. Study design: This was a retrospective descriptive study. Methods: The study utilized DHS data from 2004, 2010, and 2015/2016. The total number of participants was 77,194. Linear regression models were used to assess the effects of the predictors. All analyses were conducted in Stata version 13. Results: Findings showed no significant increase in wealth between the survey years. However, significant increases in wealth were associated with smaller family size (-0.09[-0.10, -0.08]), age (0.02[0.02,0.02]), having formal education (0.21[0.18, 0.24]), and living in urban areas (-1.84[-1.98, -1.70]). Differences in wealth also existed among the different ethnic and religious groups with the Chewa reporting less wealth than other groups, and people with any form of religion reporting more wealth than people with no religion. Conclusions: Minimal changes in wealth have occurred in Malawi between 2004 and 2015/16, and sociodemographic, socioeconomic, and cultural factors are associated with wealth in this population.
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