Socio-economic inequalities in minimum dietary diversity among Ethiopian children aged 6–23 months: a decomposition analysis
BackgroundGlobally, inappropriate feeding practices account for more than two-thirds of all cases of child mortality during the first 2 years of a child’s life. For a long time, Ethiopia has suffered from the double burden of malnutrition: overnutrition and undernutrition both pose significant chall...
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Frontiers Media S.A.
2025-01-01
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| author | Nigusu Worku Amare Mesfin Workie Lamrot Yohannes Mihret Getnet Mihret Getnet Wubshet Debebe Negash Wubshet Debebe Negash Adina Yeshambel Belay Lakew Asmare Hiwot Tadesse Alemu Demiss Mulatu Geberu Melak Jejaw Kaleb Assegid Demissie Misganaw Guadie Tiruneh Asebe Hagos |
| author_facet | Nigusu Worku Amare Mesfin Workie Lamrot Yohannes Mihret Getnet Mihret Getnet Wubshet Debebe Negash Wubshet Debebe Negash Adina Yeshambel Belay Lakew Asmare Hiwot Tadesse Alemu Demiss Mulatu Geberu Melak Jejaw Kaleb Assegid Demissie Misganaw Guadie Tiruneh Asebe Hagos |
| author_sort | Nigusu Worku |
| collection | DOAJ |
| description | BackgroundGlobally, inappropriate feeding practices account for more than two-thirds of all cases of child mortality during the first 2 years of a child’s life. For a long time, Ethiopia has suffered from the double burden of malnutrition: overnutrition and undernutrition both pose significant challenges, particularly for children. Undernutrition is mainly caused by wealth and educational disparities across the country. Therefore, this study aimed to assess the socio-economic inequalities in minimum dietary diversity (MDD) practices among Ethiopian children aged 6–23 months and the potential contributing factors.MethodsThe study utilized the recent datasets of the Ethiopia Mini Demographic and Health Survey (EMDHS) of 2019. A total of 1,511 weighted samples were included in the research. Microsoft Excel and STATA v.14 software were employed to extract, clean, and analyze data. A probit model decomposition analysis was performed. The concentration index (CIX) and curve were used to examine household wealth status and maternal education level inequalities in the MDD.ResultsThe total weighted prevalence of MDD among children under the age of 5 in Ethiopia was 13.5%. Wealth and educational status show positive CIX values for inequality, as exhibited by the concentration curve under the equality line. The CIX with household and maternal education status were (CIX: 0.1034, p < 0.0029) and (CIX: 0.1057, p < 0.0002), respectively. This indicates a greater concentration of inequalities among privileged women. The decomposition analysis revealed that household wealth status, (58.23%) contributed by wealth status, (36.38%) place of delivery, (30.47%) maternal education, and (21.5%) administration region, explained the pro-rich inequalities in MDD in Ethiopia.ConclusionThis study identified significant inequalities in terms of wealth and maternal educational level in the context of MDD. Policymakers and healthcare workers should develop effective strategies to tackle the underlying causes of inequalities in attaining MDD, specifically focusing on household wealth and maternal education. |
| format | Article |
| id | doaj-art-1a016a4fc94f4408baec05c8f98c2606 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
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| spelling | doaj-art-1a016a4fc94f4408baec05c8f98c26062025-01-29T13:17:21ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011210.3389/fpubh.2024.14225631422563Socio-economic inequalities in minimum dietary diversity among Ethiopian children aged 6–23 months: a decomposition analysisNigusu Worku0Amare Mesfin Workie1Lamrot Yohannes2Mihret Getnet3Mihret Getnet4Wubshet Debebe Negash5Wubshet Debebe Negash6Adina Yeshambel Belay7Lakew Asmare8Hiwot Tadesse Alemu9Demiss Mulatu Geberu10Melak Jejaw11Kaleb Assegid Demissie12Misganaw Guadie Tiruneh13Asebe Hagos14Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Nutrition and Dietetics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, EthiopiaDepartment of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, EthiopiaDepartment of Human Physiology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, AustraliaDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, EthiopiaDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, EthiopiaBackgroundGlobally, inappropriate feeding practices account for more than two-thirds of all cases of child mortality during the first 2 years of a child’s life. For a long time, Ethiopia has suffered from the double burden of malnutrition: overnutrition and undernutrition both pose significant challenges, particularly for children. Undernutrition is mainly caused by wealth and educational disparities across the country. Therefore, this study aimed to assess the socio-economic inequalities in minimum dietary diversity (MDD) practices among Ethiopian children aged 6–23 months and the potential contributing factors.MethodsThe study utilized the recent datasets of the Ethiopia Mini Demographic and Health Survey (EMDHS) of 2019. A total of 1,511 weighted samples were included in the research. Microsoft Excel and STATA v.14 software were employed to extract, clean, and analyze data. A probit model decomposition analysis was performed. The concentration index (CIX) and curve were used to examine household wealth status and maternal education level inequalities in the MDD.ResultsThe total weighted prevalence of MDD among children under the age of 5 in Ethiopia was 13.5%. Wealth and educational status show positive CIX values for inequality, as exhibited by the concentration curve under the equality line. The CIX with household and maternal education status were (CIX: 0.1034, p < 0.0029) and (CIX: 0.1057, p < 0.0002), respectively. This indicates a greater concentration of inequalities among privileged women. The decomposition analysis revealed that household wealth status, (58.23%) contributed by wealth status, (36.38%) place of delivery, (30.47%) maternal education, and (21.5%) administration region, explained the pro-rich inequalities in MDD in Ethiopia.ConclusionThis study identified significant inequalities in terms of wealth and maternal educational level in the context of MDD. Policymakers and healthcare workers should develop effective strategies to tackle the underlying causes of inequalities in attaining MDD, specifically focusing on household wealth and maternal education.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1422563/fullinequitiessocioeconomic inequalitydietary diversityconcentration curveconcentration indexdecomposition analysis |
| spellingShingle | Nigusu Worku Amare Mesfin Workie Lamrot Yohannes Mihret Getnet Mihret Getnet Wubshet Debebe Negash Wubshet Debebe Negash Adina Yeshambel Belay Lakew Asmare Hiwot Tadesse Alemu Demiss Mulatu Geberu Melak Jejaw Kaleb Assegid Demissie Misganaw Guadie Tiruneh Asebe Hagos Socio-economic inequalities in minimum dietary diversity among Ethiopian children aged 6–23 months: a decomposition analysis Frontiers in Public Health inequities socioeconomic inequality dietary diversity concentration curve concentration index decomposition analysis |
| title | Socio-economic inequalities in minimum dietary diversity among Ethiopian children aged 6–23 months: a decomposition analysis |
| title_full | Socio-economic inequalities in minimum dietary diversity among Ethiopian children aged 6–23 months: a decomposition analysis |
| title_fullStr | Socio-economic inequalities in minimum dietary diversity among Ethiopian children aged 6–23 months: a decomposition analysis |
| title_full_unstemmed | Socio-economic inequalities in minimum dietary diversity among Ethiopian children aged 6–23 months: a decomposition analysis |
| title_short | Socio-economic inequalities in minimum dietary diversity among Ethiopian children aged 6–23 months: a decomposition analysis |
| title_sort | socio economic inequalities in minimum dietary diversity among ethiopian children aged 6 23 months a decomposition analysis |
| topic | inequities socioeconomic inequality dietary diversity concentration curve concentration index decomposition analysis |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1422563/full |
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