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Economic inequality in malnutrition: a global systematic review and meta-analysis
OBJECTIVE: To describe the evidence on global and regional economic inequality in malnutrition, and the associations between economic inequality and malnutrition. METHODS: We conducted a systematic review and meta-analysis. Between 1 November 2020 and 22 January 2021, we searched Medline, Embase, Gl...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663078/ https://www.ncbi.nlm.nih.gov/pubmed/34887302 http://dx.doi.org/10.1136/bmjgh-2021-006906 |
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author | Alao, Rotimi Nur, Hayaan Fivian, Emily Shankar, Bhavani Kadiyala, Suneetha Harris-Fry, Helen |
author_facet | Alao, Rotimi Nur, Hayaan Fivian, Emily Shankar, Bhavani Kadiyala, Suneetha Harris-Fry, Helen |
author_sort | Alao, Rotimi |
collection | PubMed |
description | OBJECTIVE: To describe the evidence on global and regional economic inequality in malnutrition, and the associations between economic inequality and malnutrition. METHODS: We conducted a systematic review and meta-analysis. Between 1 November 2020 and 22 January 2021, we searched Medline, Embase, Global Health, Eldis, Web of Science and EBSCO Discovery Service. We contacted 39 experts and tracked citations. We included any study reporting a concentration index (CIX) relating economic status and nutritional status and any multilevel study reporting an association between economic inequality and nutritional status. Nutritional status was measured as stunting, wasting, anaemia, or overweight in children (<5 years), or underweight, overweight or obesity, or anaemia in adults (15–49 years). We had no study date or language restriction. Quality was assessed using the Appraisal Tool for Cross-Sectional Studies (AXIS tool). We mapped estimates and pooled them using multilevel random-effects meta-analyses. RESULTS: From 6185 results, 91 studies provided 426 CIX (>2.9 million people) and 47 associations (~3.9 million people). Stunting (CIX −0.15 (95% CI −0.19 to −0.11)) and wasting (−0.03 (95% CI −0.05 to −0.02)) are concentrated among poor households. Adult overweight and obesity is concentrated in wealthier households (0.08 (95% CI −0.00 to 0.17)), particularly in South Asia (0.26 (95% CI 0.19 to 0.34)), but not in Europe and Central Asia (−0.02 (95% CI −0.08 to 0.05)) or North America (−0.04 (95% CI −0.10 to 0.03)). We found no association between 0.1 increase in Gini coefficient and adult underweight (OR 1.03 (95% CI 0.94 to 1.12)) or overweight and obesity (0.92 (95% CI 0.80 to 1.05)). CONCLUSIONS: There is good evidence that the prevalence of malnutrition varies by levels of absolute economic status. Undernutrition is concentrated in poor households, whereas concentration of overweight and obesity by economic status depends on region, and we lack information on economic inequalities in anaemia and child overweight. In contrast, links between malnutrition and relative economic status are less clear and should not be assumed; robust evidence on causal pathways is needed. PROSPERO REGISTRATION NUMBER: CRD42020201572. |
format | Online Article Text |
id | pubmed-8663078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-86630782021-12-27 Economic inequality in malnutrition: a global systematic review and meta-analysis Alao, Rotimi Nur, Hayaan Fivian, Emily Shankar, Bhavani Kadiyala, Suneetha Harris-Fry, Helen BMJ Glob Health Original Research OBJECTIVE: To describe the evidence on global and regional economic inequality in malnutrition, and the associations between economic inequality and malnutrition. METHODS: We conducted a systematic review and meta-analysis. Between 1 November 2020 and 22 January 2021, we searched Medline, Embase, Global Health, Eldis, Web of Science and EBSCO Discovery Service. We contacted 39 experts and tracked citations. We included any study reporting a concentration index (CIX) relating economic status and nutritional status and any multilevel study reporting an association between economic inequality and nutritional status. Nutritional status was measured as stunting, wasting, anaemia, or overweight in children (<5 years), or underweight, overweight or obesity, or anaemia in adults (15–49 years). We had no study date or language restriction. Quality was assessed using the Appraisal Tool for Cross-Sectional Studies (AXIS tool). We mapped estimates and pooled them using multilevel random-effects meta-analyses. RESULTS: From 6185 results, 91 studies provided 426 CIX (>2.9 million people) and 47 associations (~3.9 million people). Stunting (CIX −0.15 (95% CI −0.19 to −0.11)) and wasting (−0.03 (95% CI −0.05 to −0.02)) are concentrated among poor households. Adult overweight and obesity is concentrated in wealthier households (0.08 (95% CI −0.00 to 0.17)), particularly in South Asia (0.26 (95% CI 0.19 to 0.34)), but not in Europe and Central Asia (−0.02 (95% CI −0.08 to 0.05)) or North America (−0.04 (95% CI −0.10 to 0.03)). We found no association between 0.1 increase in Gini coefficient and adult underweight (OR 1.03 (95% CI 0.94 to 1.12)) or overweight and obesity (0.92 (95% CI 0.80 to 1.05)). CONCLUSIONS: There is good evidence that the prevalence of malnutrition varies by levels of absolute economic status. Undernutrition is concentrated in poor households, whereas concentration of overweight and obesity by economic status depends on region, and we lack information on economic inequalities in anaemia and child overweight. In contrast, links between malnutrition and relative economic status are less clear and should not be assumed; robust evidence on causal pathways is needed. PROSPERO REGISTRATION NUMBER: CRD42020201572. BMJ Publishing Group 2021-12-09 /pmc/articles/PMC8663078/ /pubmed/34887302 http://dx.doi.org/10.1136/bmjgh-2021-006906 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Alao, Rotimi Nur, Hayaan Fivian, Emily Shankar, Bhavani Kadiyala, Suneetha Harris-Fry, Helen Economic inequality in malnutrition: a global systematic review and meta-analysis |
title | Economic inequality in malnutrition: a global systematic review and meta-analysis |
title_full | Economic inequality in malnutrition: a global systematic review and meta-analysis |
title_fullStr | Economic inequality in malnutrition: a global systematic review and meta-analysis |
title_full_unstemmed | Economic inequality in malnutrition: a global systematic review and meta-analysis |
title_short | Economic inequality in malnutrition: a global systematic review and meta-analysis |
title_sort | economic inequality in malnutrition: a global systematic review and meta-analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663078/ https://www.ncbi.nlm.nih.gov/pubmed/34887302 http://dx.doi.org/10.1136/bmjgh-2021-006906 |
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