Evidence map›Paper›PMID 35106565›Full record

ArticleInternational health2023

Time trends in socio-economic and geographic-based inequalities in childhood wasting in Guinea over 2 decades: a cross-sectional study.

Betregiorgis Zegeye, Nicholas Kofi Adjei, Comfort Z Olorunsaiye, Bright Opoku Ahinkorah, Edward Kwabena Ameyaw, Eugene Budu, Abdul-Aziz Seidu, Sanni Yaya

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Article in International health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Betregiorgis ZegeyeHaSET Maternal and Child Health Research Program, Shewarobit Field Office, Shewarobit, Ethiopia.
Nicholas Kofi AdjeiDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Comfort Z OlorunsaiyeDepartment of Public Health, Arcadia University, Glenside, PA, USA.
Bright Opoku AhinkorahSchool of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia.
Edward Kwabena AmeyawSchool of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia.
Eugene BuduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Abdul-Aziz SeiduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0001-9734-9054
Sanni YayaSchool of International Development and Global Studies, Faculty of Social Sciences, University of Ottawa, 120 University Private, Ottawa, ON, K1N 6N5, Canada.ORCID 0000-0002-4876-6043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundToday, an estimated 7.3% (50 million) of all children <5 y of age suffer from wasting, with more burden in African countries including Guinea. Investigating inequalities in childhood wasting is essential for designing efficient programs and interventions, but no related evidence exists in Guinea. This study aimed to examine the trends in the prevalence of childhood wasting and the extent of sex, socio-economic and geographic-based disparities in Guinea.

methodsData from the 1999, 2005 and 2012 Guinea Demographic and Health Surveys and the 2016 Guinea Multiple Indicator Cluster Survey, with a total of 16 137 children <5 y of age were included for analysis. For inequality analysis, we used the 2019 updated World Health Organization Health Equity Assessment Toolkit (HEAT) software. Inequality was measured using four summary measures (difference [D], population attributable risk [PAR], ratio [R] and population attributable fraction [PAF]) for five equity stratifiers (economic status, education, place of residence, sex and subnational region). We computed 95% confidence intervals (CIs) around the points estimates to measure statistical significance.

resultsThe findings revealed a pro-rich (R=1.68 [95% CI 1.11 to 2.24]), pro-urban (PAR=-1.04 [95% CI -1.90 to -0.18]) and subnational region (D=8.11 [95% CI 4.85 to 11.36]) inequalities in childhood wasting across all surveys. Except in 2005, education-based disparities (PAF=-18.2 [95% CI -36.10 to -0.26]) were observed across all survey years, but not sex-based disparities. An approximately constant inequality pattern was seen across all dimensions.

conclusionsThis study showed inequalities in childhood wasting in Guinea with a disproportionately higher risk of wasting among children from disadvantaged subpopulations/mothers, including uneducated, poorest/poor, rural residents and regions. Policies that target disadvantaged populations need to be considered in order to ensure social protection, access to a wholesome diet and universal and quality health services.

Indexed as

Healthcare DisparitiesPovertyChildCross-Sectional StudiesFemaleGuineaHumansSocioeconomic FactorsDHSglobal healthGuineainequalityMICSwasting

Identifiers

PMID35106565
PMCPMC9808518

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