Evidence map›Paper›PMID 30873781›Full record

ArticleAnnals of global health2018

Maternal Employment and Child Survival During the Era of Sustainable Development Goals: Insights from Proportional Hazards Modelling of Nigeria Birth History Data.

Joshua O Akinyemi, Bola L Solanke, Clifford O Odimegwu

Abstract read
In one paragraph

Article in Annals of global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Joshua O AkinyemiDemography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, ZA.
Bola L SolankeDemography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, ZA.
Clifford O OdimegwuDemography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, ZA.

Funding

Wellcome TrustWellcome Trust 087547/Z/08/Z
6 · The paper itself

Abstract

backgroundOne of the targets for the third and fifth Sustainable Development Goals (SDGs) borders on children survival and women economic empowerment, respectively. A robust investigation of the relationship between maternal employment and childhood mortality will provide information useful for programs aimed at ensuring the complementarity of SDG 3 (healthy life for all) and SDG 5 (gender equality, girls and women empowerment).

objectiveWe addressed the following questions: (1) What is the independent relationship between maternal employment and infant (0-11 months) and child (12-59 months) mortality in Nigeria? (2) How does father's occupation, type of residence, and geopolitical region modify the relationship?

methodsWe retrospectively analysed cross-sectional data on weighted sample of 31,828 under-five children extracted from the birth history in the 2013 round of Nigeria Demographic and Health Survey, using Cox proportional hazards models. The outcomes of interest were infant (0-11 months) and child (12-59 months) mortality, and the main explanatory variables include maternal employment, involvement in decision making on work earnings, and father's occupation. Other confounding variables were also controlled.

findingsResults showed that about two-third (68.7%) of under-five children had mothers who were working, with the majority engaged in self-employed occupations such as sales or small businesses, agriculture, and other manual labour. Infant mortality rate amongst children of employed mothers (65 per 1000 live births) was slightly less than the unemployed (70 per 1000 live births). A similar pattern was observed for child mortality. Hazards regression models revealed that the risk of both infant and child mortality was higher amongst unemployed women. Sales and agriculture/manual occupation constituted a higher risk for infant and child mortality. Analysis of interaction effects also revealed variations by father's occupation, type of residence, and geopolitical region.

conclusionThe role of maternal employment in child survival is dynamic and depends on the type of occupation, family, and residential and regional context.

Indexed as

Child MortalityInfant MortalityAdultChild, PreschoolCorrelation of DataCross-Sectional StudiesEmploymentFathersFemaleHealth SurveysHumansInfantInfant, NewbornMaleMothersNigeria

Identifiers

PMID30873781
PMCPMC6748258

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.