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ORIGINAL RESEARCH article
Front. Public Health
Sec. Health Economics
Volume 12 - 2024 |
doi: 10.3389/fpubh.2024.1451898
This article is part of the Research Topic Sustainable and Mission-oriented Innovation in Economic Systems and Governance for Equitable Global Health and Wellbeing View all 8 articles
Double Burden of Malnutrition Among Women and Children in Zimbabwe: A Pooled Logistic Regression and Oaxaca-Blinder Decomposition Analyses
Provisionally accepted- 1 Health Economics Unit, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa
- 2 Western Cape Department of Health, Cape Town, South Africa
- 3 Department of General Practice Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands
- 4 Center for Reproduction and Population Health Studies, Nigerian Institute of Medical Research (NIMR), Lagos, Nigeria
- 5 Developmental, Capable and Ethical State, Human Sciences Research Council, Pretoria 0001, Gauteng Province, South Africa, Pretoria, South Africa
- 6 School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
The double burden of malnutrition (DBM) is a public health issue characterized by the coexistence of undernutrition and overnutrition within the same population, household, or individual. Undernutrition, manifesting as stunting, wasting, or being underweight, results from insufficient nutrient intake while overnutrition, manifesting as overweight or obesity, results from excessive caloric intake, poor diet quality, and sedentary lifestyles. This dual burden poses significant challenges for health systems due to lost productivity and increased healthcare expenditure. Methods: This study utilized data from the Demographic and Health Surveys (DHS) conducted in Zimbabwe for 2010-11 and 2015, which provided information on women's and children's health and nutritional status, household characteristics, and socioeconomic status. Pooled logistic regression was used to analyze the association between various sociodemographic factors and DBM among women and children. The Oaxaca-Blinder decomposition method explored differences in DBM between 2010-11 and 2015. Results: The average age of mothers was approximately 31 years, and children's ages averaged around 32 months. From 2010 to 2015, there was a notable socio-economic improvement, with a decrease in the percentage of mothers in the poorest quartile from 20% to 16% and an increase in the richest quartile from 22% to 23%. The study found a slight decrease in overall household DBM among women from 34% in 2010 to 32% in 2015, while DBM among children increased from 12% to 14%. Pooled logistic regression analysis indicated that children in rural areas had statistically significantly higher odds of experiencing DBM than their urban counterparts. The Oaxaca-Blinder decomposition showed that changes in residence status significantly impacted the increase in DBM among children. At the same time, the coefficient effect accounted for most of the unexplained differences in DBM among women. Conclusion: The growing DBM among women and children in Zimbabwe is significantly influenced by changes in residence status. The findings highlight the need for targeted public health interventions to address urbanrural disparities and emphasize the importance of considering socio-economic, environmental, and behavioral factors. Context-specific public health strategies, aligned with WHO's Double Duty Actions, are essential to improve the nutritional health of Zimbabwe's population.
Keywords: Double burden of malnutrition (DBM), pooled logistic regression, Oaxaca-blinder decomposition, Nutritional outcomes, Urban-rural disparities
Received: 20 Jun 2024; Accepted: 30 Aug 2024.
Copyright: © 2024 Lukwa, Chiwire, Akinsolu, Okova and Hongoro. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Akim T. Lukwa, Health Economics Unit, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, Western Cape, South Africa
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