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Quantifying the impact of rising food prices on child mortality in India: a cross-district statistical analysis of the District Level Household Survey

Background: Rates of child malnutrition and mortality in India remain high. We tested the hypothesis that rising food prices are contributing to India’s slow progress in improving childhood survival. Methods : Using rounds 2 and 3 (2002—08) of the Indian District Level Household Survey, we calculate...

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Autores principales: Fledderjohann, Jasmine, Vellakkal, Sukumar, Khan, Zaky, Ebrahim, Shah, Stuckler, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864878/
https://www.ncbi.nlm.nih.gov/pubmed/27063607
http://dx.doi.org/10.1093/ije/dyv359
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author Fledderjohann, Jasmine
Vellakkal, Sukumar
Khan, Zaky
Ebrahim, Shah
Stuckler, David
author_facet Fledderjohann, Jasmine
Vellakkal, Sukumar
Khan, Zaky
Ebrahim, Shah
Stuckler, David
author_sort Fledderjohann, Jasmine
collection PubMed
description Background: Rates of child malnutrition and mortality in India remain high. We tested the hypothesis that rising food prices are contributing to India’s slow progress in improving childhood survival. Methods : Using rounds 2 and 3 (2002—08) of the Indian District Level Household Survey, we calculated neonatal, infant and under-five mortality rates in 364 districts, and merged these with district-level food price data from the National Sample Survey Office. Multivariate models were estimated, stratified into 27 less deprived states and territories and 8 deprived states (‘Empowered Action Groups’). Results : Between 2002 and 2008, the real price of food in India rose by 11.7%. A 1% increase in total food prices was associated with a 0.49% increase in neonatal (95% confidence interval (CI): 0.13% to 0.85%), but not infant or under-five mortality rates. Disaggregating by type of food and level of deprivation, in the eight deprived states, we found an elevation in neonatal mortality rates of 0.33% for each 1% increase in the price of meat (95% CI: 0.06% to 0.60%) and 0.10% for a 1% increase in dairy (95% CI: 0.01% to 0.20%). We also detected an adverse association of the price of dairy with infant (b = 0.09%; 95% CI: 0.01% to 0.16%) and under-five mortality rates (b = 0.10%; 95% CI: 0.03% to 0.17%). These associations were not detected in less deprived states and territories. Conclusions: Rising food prices, particularly of high-protein meat and dairy products, were associated with worse child mortality outcomes. These adverse associations were concentrated in the most deprived states.
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spelling pubmed-48648782016-05-13 Quantifying the impact of rising food prices on child mortality in India: a cross-district statistical analysis of the District Level Household Survey Fledderjohann, Jasmine Vellakkal, Sukumar Khan, Zaky Ebrahim, Shah Stuckler, David Int J Epidemiol Early Life Background: Rates of child malnutrition and mortality in India remain high. We tested the hypothesis that rising food prices are contributing to India’s slow progress in improving childhood survival. Methods : Using rounds 2 and 3 (2002—08) of the Indian District Level Household Survey, we calculated neonatal, infant and under-five mortality rates in 364 districts, and merged these with district-level food price data from the National Sample Survey Office. Multivariate models were estimated, stratified into 27 less deprived states and territories and 8 deprived states (‘Empowered Action Groups’). Results : Between 2002 and 2008, the real price of food in India rose by 11.7%. A 1% increase in total food prices was associated with a 0.49% increase in neonatal (95% confidence interval (CI): 0.13% to 0.85%), but not infant or under-five mortality rates. Disaggregating by type of food and level of deprivation, in the eight deprived states, we found an elevation in neonatal mortality rates of 0.33% for each 1% increase in the price of meat (95% CI: 0.06% to 0.60%) and 0.10% for a 1% increase in dairy (95% CI: 0.01% to 0.20%). We also detected an adverse association of the price of dairy with infant (b = 0.09%; 95% CI: 0.01% to 0.16%) and under-five mortality rates (b = 0.10%; 95% CI: 0.03% to 0.17%). These associations were not detected in less deprived states and territories. Conclusions: Rising food prices, particularly of high-protein meat and dairy products, were associated with worse child mortality outcomes. These adverse associations were concentrated in the most deprived states. Oxford University Press 2016-04 2016-04-10 /pmc/articles/PMC4864878/ /pubmed/27063607 http://dx.doi.org/10.1093/ije/dyv359 Text en © The Author 2016. Published by Oxford University Press on behalf of the International Epidemiological Association http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Early Life
Fledderjohann, Jasmine
Vellakkal, Sukumar
Khan, Zaky
Ebrahim, Shah
Stuckler, David
Quantifying the impact of rising food prices on child mortality in India: a cross-district statistical analysis of the District Level Household Survey
title Quantifying the impact of rising food prices on child mortality in India: a cross-district statistical analysis of the District Level Household Survey
title_full Quantifying the impact of rising food prices on child mortality in India: a cross-district statistical analysis of the District Level Household Survey
title_fullStr Quantifying the impact of rising food prices on child mortality in India: a cross-district statistical analysis of the District Level Household Survey
title_full_unstemmed Quantifying the impact of rising food prices on child mortality in India: a cross-district statistical analysis of the District Level Household Survey
title_short Quantifying the impact of rising food prices on child mortality in India: a cross-district statistical analysis of the District Level Household Survey
title_sort quantifying the impact of rising food prices on child mortality in india: a cross-district statistical analysis of the district level household survey
topic Early Life
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864878/
https://www.ncbi.nlm.nih.gov/pubmed/27063607
http://dx.doi.org/10.1093/ije/dyv359
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