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A Global-Level Model of the Potential Impacts of Climate Change on Child Stunting via Income and Food Price in 2030
BACKGROUND: In 2016, 23% of children (155 million) aged [Formula: see text] were stunted. Global-level modeling has consistently found climate change impacts on food production are likely to impair progress on reducing undernutrition. OBJECTIVES: We adopt a new perspective, assessing how climate cha...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Environmental Health Perspectives
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375465/ https://www.ncbi.nlm.nih.gov/pubmed/30256154 http://dx.doi.org/10.1289/EHP2916 |
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author | Lloyd, Simon J. Bangalore, Mook Chalabi, Zaid Kovats, R. Sari Hallegatte, Stèphane Rozenberg, Julie Valin, Hugo Havlík, Petr |
author_facet | Lloyd, Simon J. Bangalore, Mook Chalabi, Zaid Kovats, R. Sari Hallegatte, Stèphane Rozenberg, Julie Valin, Hugo Havlík, Petr |
author_sort | Lloyd, Simon J. |
collection | PubMed |
description | BACKGROUND: In 2016, 23% of children (155 million) aged [Formula: see text] were stunted. Global-level modeling has consistently found climate change impacts on food production are likely to impair progress on reducing undernutrition. OBJECTIVES: We adopt a new perspective, assessing how climate change may affect child stunting via its impacts on two interacting socioeconomic drivers: incomes of the poorest 20% of populations (due to climate impacts on crop production, health, labor productivity, and disasters) and food prices. METHODS: We developed a statistical model to project moderate and severe stunting in children aged [Formula: see text] at the national level in 2030 under low and high climate change scenarios combined with poverty and prosperity scenarios in 44 countries. RESULTS: We estimated that in the absence of climate change, 110 million children aged [Formula: see text] would be stunted in 2030 under the poverty scenario in comparison with 83 million under the prosperity scenario. Estimates of climate change–attributable stunting ranged from 570,000 under the prosperity/low climate change scenario to [Formula: see text] under the poverty/high climate change scenario. The projected impact of climate change on stunting was greater in rural vs. urban areas under both socioeconomic scenarios. In countries with lower incomes and relatively high food prices, we projected that rising prices would tend to increase stunting, whereas in countries with higher incomes and relatively low food prices, rising prices would tend to decrease stunting. These findings suggest that food prices that provide decent incomes to farmers alongside high employment with living wages will reduce undernutrition and vulnerability to climate change. CONCLUSIONS: Shifting the focus from food production to interactions between incomes and food price provides new insights. Futures that protect health should consider not just availability, accessibility, and quality of food, but also the incomes generated by those producing the food. https://doi.org/10.1289/EHP2916 |
format | Online Article Text |
id | pubmed-6375465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Environmental Health Perspectives |
record_format | MEDLINE/PubMed |
spelling | pubmed-63754652019-04-18 A Global-Level Model of the Potential Impacts of Climate Change on Child Stunting via Income and Food Price in 2030 Lloyd, Simon J. Bangalore, Mook Chalabi, Zaid Kovats, R. Sari Hallegatte, Stèphane Rozenberg, Julie Valin, Hugo Havlík, Petr Environ Health Perspect Research BACKGROUND: In 2016, 23% of children (155 million) aged [Formula: see text] were stunted. Global-level modeling has consistently found climate change impacts on food production are likely to impair progress on reducing undernutrition. OBJECTIVES: We adopt a new perspective, assessing how climate change may affect child stunting via its impacts on two interacting socioeconomic drivers: incomes of the poorest 20% of populations (due to climate impacts on crop production, health, labor productivity, and disasters) and food prices. METHODS: We developed a statistical model to project moderate and severe stunting in children aged [Formula: see text] at the national level in 2030 under low and high climate change scenarios combined with poverty and prosperity scenarios in 44 countries. RESULTS: We estimated that in the absence of climate change, 110 million children aged [Formula: see text] would be stunted in 2030 under the poverty scenario in comparison with 83 million under the prosperity scenario. Estimates of climate change–attributable stunting ranged from 570,000 under the prosperity/low climate change scenario to [Formula: see text] under the poverty/high climate change scenario. The projected impact of climate change on stunting was greater in rural vs. urban areas under both socioeconomic scenarios. In countries with lower incomes and relatively high food prices, we projected that rising prices would tend to increase stunting, whereas in countries with higher incomes and relatively low food prices, rising prices would tend to decrease stunting. These findings suggest that food prices that provide decent incomes to farmers alongside high employment with living wages will reduce undernutrition and vulnerability to climate change. CONCLUSIONS: Shifting the focus from food production to interactions between incomes and food price provides new insights. Futures that protect health should consider not just availability, accessibility, and quality of food, but also the incomes generated by those producing the food. https://doi.org/10.1289/EHP2916 Environmental Health Perspectives 2018-09-26 /pmc/articles/PMC6375465/ /pubmed/30256154 http://dx.doi.org/10.1289/EHP2916 Text en EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted. |
spellingShingle | Research Lloyd, Simon J. Bangalore, Mook Chalabi, Zaid Kovats, R. Sari Hallegatte, Stèphane Rozenberg, Julie Valin, Hugo Havlík, Petr A Global-Level Model of the Potential Impacts of Climate Change on Child Stunting via Income and Food Price in 2030 |
title | A Global-Level Model of the Potential Impacts of Climate Change on Child Stunting via Income and Food Price in 2030 |
title_full | A Global-Level Model of the Potential Impacts of Climate Change on Child Stunting via Income and Food Price in 2030 |
title_fullStr | A Global-Level Model of the Potential Impacts of Climate Change on Child Stunting via Income and Food Price in 2030 |
title_full_unstemmed | A Global-Level Model of the Potential Impacts of Climate Change on Child Stunting via Income and Food Price in 2030 |
title_short | A Global-Level Model of the Potential Impacts of Climate Change on Child Stunting via Income and Food Price in 2030 |
title_sort | global-level model of the potential impacts of climate change on child stunting via income and food price in 2030 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375465/ https://www.ncbi.nlm.nih.gov/pubmed/30256154 http://dx.doi.org/10.1289/EHP2916 |
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