{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15(1)"],"submitter":["Zegeye B"],"pubmed_abstract":["<h4>Background</h4>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.<h4>Methods</h4>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 "],"journal":["International health"],"pagination":["10-18"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9808518"],"repository":["biostudies-literature"],"pubmed_title":["Time trends in socio-economic and geographic-based inequalities in childhood wasting in Guinea over 2 decades: a cross-sectional study."],"pmcid":["PMC9808518"],"pubmed_authors":["Seidu AA","Budu E","Zegeye B","Ameyaw EK","Yaya S","Adjei NK","Olorunsaiye CZ","Ahinkorah BO"],"additional_accession":[]},"is_claimable":false,"name":"Time trends in socio-economic and geographic-based inequalities in childhood wasting in Guinea over 2 decades: a cross-sectional study.","description":"<h4>Background</h4>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.<h4>Methods</h4>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 ","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2025-04-04T11:00:27.391Z","creation":"2025-04-04T11:00:27.391Z"},"accession":"S-EPMC9808518","cross_references":{"pubmed":["35106565"],"doi":["10.1093/inthealth/ihac002"]}}