ArticleBMC public health2022
Factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 14 citations in OpenAlex.
- Household socioeconomic status, dietary diversity, and risk of stunting among South African primary school children.Journal of health, population, and nutrition · 2026Trial
- Analysis of under-five mortality rate and healthcare utilization equity in Hunan Province, China, 2020-2024.Preventive medicine reports · 2026Article
- Socioeconomic Inequalities in Health Service Utilization in the Peruvian Population: A National Population-Based Study.Healthcare (Basel, Switzerland) · 2026Article
- Decomposing the gap in under-five mortality determinants between the low- and high-risk regions of Nigeria.Scientific reports · 2025Article
- Gender and Economic Inequality in under-5 Mortality in India from 2000 to 2022.International journal of preventive medicine · 2025Article
- Wealth-based inequalities in early childhood development (ECD) outcomes in Bangladesh: A decomposition analysis using MICS 2019.PLOS global public health · 2025Article
- Decomposition Analysis of the Prevalence of Denture Use Between Rural and Urban Older Individuals With Edentulism in China: Cross-Sectional Study.Interactive journal of medical research · 2024Article
- Global health 2050: the path to halving premature death by mid-century.Lancet (London, England) · 2024Review
- Going deeper with health equity measurement: how much more can surveys reveal about inequalities in health intervention coverage and mortality in Zambia?International journal for equity in health · 2023Article
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3 authors at 1 institution in 1 country.
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Abstract
backgroundThe 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).
methodsWe 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.
resultsThe 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.
conclusionsIndividual-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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