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Then and Now: Investigating Anthropometrics and Child Mortality among Females in Malawi

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  • Sally Sonia Simmons

    (Department of Social Policy, London School of Economics and Political Science, London WC2A 2AE, UK
    Institute of Demography, National Research University-Higher School of Economics, 101000 Moscow, Russia)

  • John Elvis Hagan

    (Department of Health, Physical Education & Recreation, College of Education Studies, University of Cape Coast, Cape Coast PMB TF0494, Ghana
    Neurocognition and Action Research Group—Biomechanics, Faculty of Psychology & Sport Sciences/CITEC, Bielefeld University, Postfach 10 01 31, 33501 Bielefeld, Germany)

  • Thomas Schack

    (Neurocognition and Action Research Group—Biomechanics, Faculty of Psychology & Sport Sciences/CITEC, Bielefeld University, Postfach 10 01 31, 33501 Bielefeld, Germany)

Abstract

Information on the concentration of body mass index and child death among females in Malawi, where the epidemics of weight gain have been disconcerting and preventable deaths among children linger, is limited. Therefore, the study examined the polarity of body mass index and the death of children among females. Using data from the Malawian Demographic and Health Survey from 2000 to 2015–2016, the study applied for the first time the index of concentration at the extremes and indirect demographic techniques to estimate the polarity of body mass index and child mortality among 65,499 females aged 15 to 49 years. The preponderance of obesity more than doubled from 2000 to 2015–2016 and was highest among females who were older (35–49 years), urban dwellers, rich, and located in districts within the central and southern regions. In addition, child survival was low among underweight, overweight, and obese females. While national-, regional-, and individual-level statistics are in development, these findings provide helpful information for health experts and other stakeholders to initiate appropriate age-region specific programs and interventions in Malawi, including targeting females in the high socio-economic bracket.

Suggested Citation

  • Sally Sonia Simmons & John Elvis Hagan & Thomas Schack, 2022. "Then and Now: Investigating Anthropometrics and Child Mortality among Females in Malawi," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6171-:d:819021
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    References listed on IDEAS

    as
    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Leah M. Mungai & Joseph P. Messina & Sieglinde Snapp, 2020. "Spatial Pattern of Agricultural Productivity Trends in Malawi," Sustainability, MDPI, vol. 12(4), pages 1-22, February.
    3. Ngianga-Bakwin Kandala & Saverio Stranges, 2014. "Geographic Variation of Overweight and Obesity among Women in Nigeria: A Case for Nutritional Transition in Sub-Saharan Africa," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    4. John Bongaarts & John Casterline, 2013. "Fertility Transition: Is sub-Saharan Africa Different?," Population and Development Review, The Population Council, Inc., vol. 38, pages 153-168, February.
    5. McCarthy, Nancy & Kilic, Talip & Brubaker, Josh & Murray, Siobhan & de la Fuente, Alejandro, 2021. "Droughts and floods in Malawi: impacts on crop production and the performance of sustainable land management practices under weather extremes," Environment and Development Economics, Cambridge University Press, vol. 26(5-6), pages 432-449, October.
    6. Tara Templin & Tiago Cravo Oliveira Hashiguchi & Blake Thomson & Joseph Dieleman & Eran Bendavid, 2019. "The overweight and obesity transition from the wealthy to the poor in low- and middle-income countries: A survey of household data from 103 countries," PLOS Medicine, Public Library of Science, vol. 16(11), pages 1-15, November.
    7. Robert Brooks & Alexei Maklakov, 2010. "Sex Differences in Obesity Associated with Total Fertility Rate," PLOS ONE, Public Library of Science, vol. 5(5), pages 1-4, May.
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