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

BACKGROUND: Today, 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 exist...

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Autores principales: Zegeye, Betregiorgis, Adjei, Nicholas Kofi, Olorunsaiye, Comfort Z, Ahinkorah, Bright Opoku, Ameyaw, Edward Kwabena, Budu, Eugene, Seidu, Abdul-Aziz, Yaya, Sanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9808518/
https://www.ncbi.nlm.nih.gov/pubmed/35106565
http://dx.doi.org/10.1093/inthealth/ihac002
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author Zegeye, Betregiorgis
Adjei, Nicholas Kofi
Olorunsaiye, Comfort Z
Ahinkorah, Bright Opoku
Ameyaw, Edward Kwabena
Budu, Eugene
Seidu, Abdul-Aziz
Yaya, Sanni
author_facet Zegeye, Betregiorgis
Adjei, Nicholas Kofi
Olorunsaiye, Comfort Z
Ahinkorah, Bright Opoku
Ameyaw, Edward Kwabena
Budu, Eugene
Seidu, Abdul-Aziz
Yaya, Sanni
author_sort Zegeye, Betregiorgis
collection PubMed
description BACKGROUND: Today, 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. METHODS: Data 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. RESULTS: The 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. CONCLUSIONS: This 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.
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spelling pubmed-98085182023-01-04 Time trends in socio-economic and geographic-based inequalities in childhood wasting in Guinea over 2 decades: a cross-sectional study Zegeye, Betregiorgis Adjei, Nicholas Kofi Olorunsaiye, Comfort Z Ahinkorah, Bright Opoku Ameyaw, Edward Kwabena Budu, Eugene Seidu, Abdul-Aziz Yaya, Sanni Int Health Original Article BACKGROUND: Today, 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. METHODS: Data 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. RESULTS: The 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. CONCLUSIONS: This 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. Oxford University Press 2022-02-01 /pmc/articles/PMC9808518/ /pubmed/35106565 http://dx.doi.org/10.1093/inthealth/ihac002 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Zegeye, Betregiorgis
Adjei, Nicholas Kofi
Olorunsaiye, Comfort Z
Ahinkorah, Bright Opoku
Ameyaw, Edward Kwabena
Budu, Eugene
Seidu, Abdul-Aziz
Yaya, Sanni
Time trends in socio-economic and geographic-based inequalities in childhood wasting in Guinea over 2 decades: a cross-sectional study
title Time trends in socio-economic and geographic-based inequalities in childhood wasting in Guinea over 2 decades: a cross-sectional study
title_full Time trends in socio-economic and geographic-based inequalities in childhood wasting in Guinea over 2 decades: a cross-sectional study
title_fullStr Time trends in socio-economic and geographic-based inequalities in childhood wasting in Guinea over 2 decades: a cross-sectional study
title_full_unstemmed Time trends in socio-economic and geographic-based inequalities in childhood wasting in Guinea over 2 decades: a cross-sectional study
title_short Time trends in socio-economic and geographic-based inequalities in childhood wasting in Guinea over 2 decades: a cross-sectional study
title_sort time trends in socio-economic and geographic-based inequalities in childhood wasting in guinea over 2 decades: a cross-sectional study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9808518/
https://www.ncbi.nlm.nih.gov/pubmed/35106565
http://dx.doi.org/10.1093/inthealth/ihac002
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