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Factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis

BACKGROUND: The burden of under-5 deaths is disproportionately high among poor households relative to economically viable ones in developing countries. Despite this, the factors driving this inequality has not been well explored. This study decomposed the contributions of the factors associated with...

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Autores principales: Fagbamigbe, Adeniyi Francis, Adeniji, Folashayo Ikenna Peter, Morakinyo, Oyewale Mayowa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013135/
https://www.ncbi.nlm.nih.gov/pubmed/35428294
http://dx.doi.org/10.1186/s12889-022-12988-2
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author Fagbamigbe, Adeniyi Francis
Adeniji, Folashayo Ikenna Peter
Morakinyo, Oyewale Mayowa
author_facet Fagbamigbe, Adeniyi Francis
Adeniji, Folashayo Ikenna Peter
Morakinyo, Oyewale Mayowa
author_sort Fagbamigbe, Adeniyi Francis
collection PubMed
description BACKGROUND: The burden of under-5 deaths is disproportionately high among poor households relative to economically viable ones in developing countries. Despite this, the factors driving this inequality has not been well explored. This study decomposed the contributions of the factors associated with wealth inequalities in under-5 deaths in low- and middle-income countries (LMICs). METHODS: We analysed data of 856,987 children from 66,495 neighbourhoods across 59 LMICs spanning recent Demographic and Health Surveys (2010-2018). Under-5 mortality was described as deaths among live births within 0 to 59 months of birth and it was treated as a dichotomous variable (dead or alive). The prevalence of under-five deaths was stratified using household wealth status. A Fairlie decomposition analysis was utilized to investigate the relative contribution of the factors associated with household wealth inequality in under-5 deaths at p<0.05. The WHO health equity assessment toolkit Plus was used to assess the differences (D) ratios (R), population attributable risk (PAR), and population attributable fraction (PAF) in household wealth inequalities across the countries. RESULTS: The proportion of children from poor households was 45%. The prevalence of under-5 deaths in all samples was 51 per 1000 children, with 60 per 1000 and 44 per 1000 among children from poor and non-poor households (p<0.001). The prevalence of under-5 deaths was higher among children from poor households than those from non-poor households in all countries except in Ethiopia, Tanzania, Zambia, Lesotho, Gambia and Sierra Leone, and in the Maldives. Thirty-four of the 59 countries showed significantly higher under-5 deaths in poor households than in non-poor households (pro-non-poor inequality) and no significant pro-poor inequality. Rural-urban contexts, maternal education, neighborhood socioeconomic status, sex of the child, toilet kinds, birth weight and preceding birth intervals, and sources of drinking water are the most significant drivers of pro-poor inequities in under-5 deaths in these countries. CONCLUSIONS: Individual-level and neighbourhood-level factors were associated with a high prevalence of under-5 deaths among poor households in LMICs. Interventions in countries should focus on reducing the gap between the poor and the rich as well as improve the education and livelihood of disadvantaged people.
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spelling pubmed-90131352022-04-17 Factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis Fagbamigbe, Adeniyi Francis Adeniji, Folashayo Ikenna Peter Morakinyo, Oyewale Mayowa BMC Public Health Research Article BACKGROUND: The burden of under-5 deaths is disproportionately high among poor households relative to economically viable ones in developing countries. Despite this, the factors driving this inequality has not been well explored. This study decomposed the contributions of the factors associated with wealth inequalities in under-5 deaths in low- and middle-income countries (LMICs). METHODS: We analysed data of 856,987 children from 66,495 neighbourhoods across 59 LMICs spanning recent Demographic and Health Surveys (2010-2018). Under-5 mortality was described as deaths among live births within 0 to 59 months of birth and it was treated as a dichotomous variable (dead or alive). The prevalence of under-five deaths was stratified using household wealth status. A Fairlie decomposition analysis was utilized to investigate the relative contribution of the factors associated with household wealth inequality in under-5 deaths at p<0.05. The WHO health equity assessment toolkit Plus was used to assess the differences (D) ratios (R), population attributable risk (PAR), and population attributable fraction (PAF) in household wealth inequalities across the countries. RESULTS: The proportion of children from poor households was 45%. The prevalence of under-5 deaths in all samples was 51 per 1000 children, with 60 per 1000 and 44 per 1000 among children from poor and non-poor households (p<0.001). The prevalence of under-5 deaths was higher among children from poor households than those from non-poor households in all countries except in Ethiopia, Tanzania, Zambia, Lesotho, Gambia and Sierra Leone, and in the Maldives. Thirty-four of the 59 countries showed significantly higher under-5 deaths in poor households than in non-poor households (pro-non-poor inequality) and no significant pro-poor inequality. Rural-urban contexts, maternal education, neighborhood socioeconomic status, sex of the child, toilet kinds, birth weight and preceding birth intervals, and sources of drinking water are the most significant drivers of pro-poor inequities in under-5 deaths in these countries. CONCLUSIONS: Individual-level and neighbourhood-level factors were associated with a high prevalence of under-5 deaths among poor households in LMICs. Interventions in countries should focus on reducing the gap between the poor and the rich as well as improve the education and livelihood of disadvantaged people. BioMed Central 2022-04-15 /pmc/articles/PMC9013135/ /pubmed/35428294 http://dx.doi.org/10.1186/s12889-022-12988-2 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 Article
Fagbamigbe, Adeniyi Francis
Adeniji, Folashayo Ikenna Peter
Morakinyo, Oyewale Mayowa
Factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis
title Factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis
title_full Factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis
title_fullStr Factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis
title_full_unstemmed Factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis
title_short Factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis
title_sort factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013135/
https://www.ncbi.nlm.nih.gov/pubmed/35428294
http://dx.doi.org/10.1186/s12889-022-12988-2
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