Association between concurrence of multiple risk factors and under-5 mortality: a pooled analysis of data from Demographic and Health Survey in 61 low-and-middle-income countriesResearch in context

Autor: Yuhao Kong, Shaoru Chen, Ning Ma, Zekun Chen, Peter Karoli, John Lapah Niyi, Pengyang Fan, Günther Fink, Xiaoxiao Jiang Kwete, Fernando C. Wehrmeister, Feng Cheng, Dongqing Wang, Melkamu Aderajew Zemene, Samwel Maina Gatimu, Nuruzzaman Khan, Ashfikur Rahman, Lelisa Fekadu, Gebretsadik Shibre, Lhuri Dwianti Rahmartani, Justice Moses K. Aheto, Pascal Geldsetzer, Zhihui Li
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: EClinicalMedicine, Vol 71, Iss , Pp 102583- (2024)
Druh dokumentu: article
ISSN: 2589-5370
DOI: 10.1016/j.eclinm.2024.102583
Popis: Summary: Background: Exposure to multiple risk factors is prevalent in low-and middle-income countries (LMICs), challenging one-directional strategies to address preventable under-5 mortality (U5M). This study aims to assess the associations between concurrence of multiple risk factors and U5M in LMICs. Methods: We extracted data from the Demographic and Health Surveys conducted between 2010 and 2021 across 61 LMICs. Our primary outcome was U5M, defined as deaths from birth to 59 months. Binary logistic regression model was applied to ascertain the association between U5M and a total of 20 critical risk factors. Upon identifying the risk factors demonstrating the strongest associations, we investigated the simultaneous presence of multiple risk factors in each individual and assessed their combined effects on U5M with logistic regression models. Findings: Of the 604,372 under-5 children, 18,166 (3.0%) died at the time of the survey. Unsatisfied family planning needs was the strongest risk factor for U5M (odds ratio [OR]: 2.0, 95% confidence interval [CI]: 1.9–2.1), followed by short birth interval (
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