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Sex inequality in under-five deaths and associated factors in low and middle-income countries: a Fairlie decomposition analysis

BACKGROUND: There exist sex disparities in the burden of Under-five deaths (U5D) with a higher prevalence among male children. Factors explaining this inequality remain unexplored in Low-and Medium-Income Countries (LMIC). This study quantified the contributions of the individual- and neighborhood-l...

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Autores principales: Fagbamigbe, Adeniyi Francis, Morakinyo, Oyewale Mayowa, Balogun, Folusho Mubowale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851802/
https://www.ncbi.nlm.nih.gov/pubmed/35172780
http://dx.doi.org/10.1186/s12889-022-12679-y
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author Fagbamigbe, Adeniyi Francis
Morakinyo, Oyewale Mayowa
Balogun, Folusho Mubowale
author_facet Fagbamigbe, Adeniyi Francis
Morakinyo, Oyewale Mayowa
Balogun, Folusho Mubowale
author_sort Fagbamigbe, Adeniyi Francis
collection PubMed
description BACKGROUND: There exist sex disparities in the burden of Under-five deaths (U5D) with a higher prevalence among male children. Factors explaining this inequality remain unexplored in Low-and Medium-Income Countries (LMIC). This study quantified the contributions of the individual- and neighborhood-level factors to sex inequalities in U5D in LMIC. METHODS: Demographic and Health Survey datasets (2010-2018) of 856,987 under-five children nested in 66,495 neighborhoods across 59 LMIC were analyzed. The outcome variable was U5D. The main group variable was the sex of the child while individual-level and neighborhood-level factors were the explanatory variables. Fairlie decomposition analysis was used to quantify the contributions of explanatory factors to the male-female inequalities in U5D at p<0.05. RESULTS: Overall weighted prevalence of U5D was 51/1000 children, 55 among males and 48 among females (p<0.001). Higher prevalence of U5D was recorded among male children in all countries except Liberia, Kyrgyz Republic, Bangladesh, Nepal, Armenia, Turkey and Papua New Guinea. Pro-female inequality was however not significant in any country. Of the 59 countries, 25 had statistically significant pro-male inequality. Different factors contributed to the sex inequality in U5D in different countries including birth order, birth weight, birth interval and multiple births. CONCLUSIONS: There were sex inequalities in the U5D in LMIC with prominent pro-male-inequality in many countries. Interventions targeted towards the improvement of the health system that will, in turn, prevent preterm delivery and improve management of prematurity and early childhood infection (which are selective threats to the male child survival) are urgently required to address this inequality.
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spelling pubmed-88518022022-02-22 Sex inequality in under-five deaths and associated factors in low and middle-income countries: a Fairlie decomposition analysis Fagbamigbe, Adeniyi Francis Morakinyo, Oyewale Mayowa Balogun, Folusho Mubowale BMC Public Health Research BACKGROUND: There exist sex disparities in the burden of Under-five deaths (U5D) with a higher prevalence among male children. Factors explaining this inequality remain unexplored in Low-and Medium-Income Countries (LMIC). This study quantified the contributions of the individual- and neighborhood-level factors to sex inequalities in U5D in LMIC. METHODS: Demographic and Health Survey datasets (2010-2018) of 856,987 under-five children nested in 66,495 neighborhoods across 59 LMIC were analyzed. The outcome variable was U5D. The main group variable was the sex of the child while individual-level and neighborhood-level factors were the explanatory variables. Fairlie decomposition analysis was used to quantify the contributions of explanatory factors to the male-female inequalities in U5D at p<0.05. RESULTS: Overall weighted prevalence of U5D was 51/1000 children, 55 among males and 48 among females (p<0.001). Higher prevalence of U5D was recorded among male children in all countries except Liberia, Kyrgyz Republic, Bangladesh, Nepal, Armenia, Turkey and Papua New Guinea. Pro-female inequality was however not significant in any country. Of the 59 countries, 25 had statistically significant pro-male inequality. Different factors contributed to the sex inequality in U5D in different countries including birth order, birth weight, birth interval and multiple births. CONCLUSIONS: There were sex inequalities in the U5D in LMIC with prominent pro-male-inequality in many countries. Interventions targeted towards the improvement of the health system that will, in turn, prevent preterm delivery and improve management of prematurity and early childhood infection (which are selective threats to the male child survival) are urgently required to address this inequality. BioMed Central 2022-02-16 /pmc/articles/PMC8851802/ /pubmed/35172780 http://dx.doi.org/10.1186/s12889-022-12679-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fagbamigbe, Adeniyi Francis
Morakinyo, Oyewale Mayowa
Balogun, Folusho Mubowale
Sex inequality in under-five deaths and associated factors in low and middle-income countries: a Fairlie decomposition analysis
title Sex inequality in under-five deaths and associated factors in low and middle-income countries: a Fairlie decomposition analysis
title_full Sex inequality in under-five deaths and associated factors in low and middle-income countries: a Fairlie decomposition analysis
title_fullStr Sex inequality in under-five deaths and associated factors in low and middle-income countries: a Fairlie decomposition analysis
title_full_unstemmed Sex inequality in under-five deaths and associated factors in low and middle-income countries: a Fairlie decomposition analysis
title_short Sex inequality in under-five deaths and associated factors in low and middle-income countries: a Fairlie decomposition analysis
title_sort sex inequality in under-five deaths and associated factors in low and middle-income countries: a fairlie decomposition analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851802/
https://www.ncbi.nlm.nih.gov/pubmed/35172780
http://dx.doi.org/10.1186/s12889-022-12679-y
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