Dataset Information

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

ABSTRACT: 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.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').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.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.

SUBMITTER: Fledderjohann J

PROVIDER: S-EPMC4864878 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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 J Vellakkal Sukumar S Vellakkal Sukumar S Khan Zaky Z Ebrahim Shah S Stuckler David D

International journal of epidemiology 20160410 2

<h4>Background</h4>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.<h4>Methods</h4>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 es ...[more]

PMID: 27063607

Similar Datasets

Project description:ObjectiveTo quantify the relation between food prices and the demand for food with specific reference to national and household income levels.DesignSystematic review with meta-regression.Data sourcesOnline databases of peer reviewed and grey literature (ISI Web of Science, EconLit, PubMed, Medline, AgEcon, Agricola, Google, Google Scholar, IdeasREPEC, Eldis, USAID, United Nations Food and Agriculture Organization, World Bank, International Food Policy Research Institute), hand searched reference lists, and contact with authors.Study selectionWe included cross sectional, cohort, experimental, and quasi-experimental studies with English abstracts. Eligible studies used nationally representative data from 1990 onwards derived from national aggregate data sources, household surveys, or supermarket and home scanners.Data analysisThe primary outcome extracted from relevant papers was the quantification of the demand for foods in response to changes in food price (own price food elasticities). Descriptive and study design variables were extracted for use as covariates in analysis. We conducted meta-regressions to assess the effect of income levels between and within countries on the strength of the relation between food price and demand, and predicted price elasticities adjusted for differences across studies.Results136 studies reporting 3495 own price food elasticities from 162 different countries were identified. Our models predict that increases in the price of all foods result in greater reductions in food consumption in poor countries: in low and high income countries, respectively, a 1% increase in the price of cereals results in reductions in consumption of 0.61% (95% confidence interval 0.56% to 0.66%) and 0.43% (0.36% to 0.48%), and a 1% increase in the price of meat results in reductions in consumption of 0.78% (0.73% to 0.83%) and 0.60% (0.54% to 0.66%). Within all countries, our models predict that poorer households will be the most adversely affected by increases in food prices.ConclusionsChanges in global food prices will have a greater effect on food consumption in lower income countries and in poorer households within countries. This has important implications for national responses to increases in food prices and for the definition of policies designed to reduce the global burden of undernutrition.

Project description:Background:There is a need to directly and accurately conceptualize and measure food insecurity in children as part of surveillance and public health efforts. Objective:The aim of this study was to compare parent and child perceptions of child-level food security status via questionnaires within a large, ethnically diverse population. Methods:Cross-sectional baseline data from a cluster-randomized controlled trial involving primarily low-income, Hispanic third- to fifth-grade students and their parents were used for analysis. The sample consisted of 2408 dyadic (parent and child) pairs. Parents completed the 8-item child-referenced Household Food Security Survey Module and their responses were compared with an adaption of the 5-item Child Food Security Assessment completed by their child. Levels of association between child and parent perceptions within dyads were calculated using Goodman and Kruskal's ? statistic. A mixed-effects binomial logistic regression model was used to model discordance as a function of child, parent, and household sociodemographic characteristics. Results:The child sample was 53% girls, mean age of 9 y, and 63% were Hispanic. The parent sample was 86% women and 65% Hispanic. Child and parent perceptions of child-level food security agreed only 21.7% of the time. There was a weak positive association between child and parent perceptions of child-level food security (? = 0.162, P < 0.001). Children perceived themselves as less food secure than their parents' perception 70.1% of the time. Household receipt of Supplemental Nutrition Assistance Program benefits was associated with greater odds of discordant food security perceptions, whereas female children, older children, and parents not working were characteristics associated with lower odds of discordant perceptions. Conclusions:Results, in combination with the existing literature, suggest that parent perceptions of child-level food insecurity may underestimate child-level food insecurity experiences. Inaccurate estimations or underestimations of the true prevalence of child-level food insecurity could be detrimental to maternal and child health efforts. This trial was registered at clinicaltrials.gov as NCT02668744.

Project description:Population-level analysis of dietary influences on nutritional status is challenging in part due to limitations in dietary intake data. Household expenditure surveys, covering recent household expenditures and including key food groups, are routinely conducted in low- and middle-income countries. These data may help identify patterns of food expenditure that relate to child growth.ObjectivesWe investigated the relationship between household food expenditures and child growth using factor analysis.MethodsWe used data on 6993 children from Ethiopia, India, Peru and Vietnam at ages 5, 8 and 12y from the Young Lives cohort. We compared associations between household food expenditures and child growth (height-for-age z scores, HAZ; body mass index-for-age z scores, BMI-Z) using total household food expenditures and the "household food group expenditure index" (HFGEI) extracted from household expenditures with factor analysis on the seven food groups in the child dietary diversity scale, controlling for total food expenditures, child dietary diversity, data collection round, rural/urban residence and child sex. We used the HFGEI to capture households' allocations of their finances across food groups in the context of local food pricing, availability and pReferences RESULTS: The HFGEI was associated with significant increases in child HAZ in Ethiopia (0.07), India (0.14), and Vietnam (0.07) after adjusting for all control variables. Total food expenditures remained significantly associated with increases in BMI-Z for India (0.15), Peru (0.11) and Vietnam (0.06) after adjusting for study round, HFGEI, dietary diversity, rural residence, and whether the child was female. Dietary diversity was inversely associated with BMI-Z in India and Peru. Mean dietary diversity increased from age 5y to 8y and decreased from age 8y to 12y in all countries.ConclusionHousehold food expenditure data provide insights into household food purchasing patterns that significantly predict HAZ and BMI-Z. Including food expenditure patterns data in analyses may yield important information about child nutritional status and linear growth.

Project description:Background and objectivesAdequate diet is of crucial importance for healthy child development. In food insecure areas of the world, the provision of adequate child diet is threatened in the many households that sometimes experience having no food at all to eat (household food insecurity). In the context of food insecure northern Ghana, this study investigated the relationship between level of household food security and achievement of recommended child diet as measured by WHO Infant and Young Child Feeding Indicators.MethodsUsing data from households and 6-23 month old children in the 2012 Feed the Future baseline survey (n = 871), descriptive analyses assessed the prevalence of minimum meal frequency; minimum dietary diversity, and minimum acceptable diet. Logistic regression analysis was used to examine the association of minimum acceptable diet with household food security, while accounting for the effects of child sex and age, maternal -age, -dietary diversity, -literacy and -education, household size, region, and urban-rural setting. Household food security was assessed with the Household Hunger Scale developed by USAID's Food and Nutrition Technical Assistance Project.ResultsForty-nine percent of children received minimum recommended meal frequency, 31% received minimum dietary diversity, and 17% of the children received minimum acceptable diet. Sixty-four percent of the children lived in food secure households, and they were significantly more likely than children in food insecure households to receive recommended minimum acceptable diet [O.R = 0.53; 95% CI: 0.35, 0.82]. However, in 80% of food secure households, children did not receive a minimal acceptable diet by WHO standards.ConclusionsChildren living in food secure households were more likely than others to receive a minimum acceptable diet. Yet living in a food secure household was no guarantee of child dietary adequacy, since eight of 10 children in food secure households received less than a minimum acceptable diet. The results call for research into factors besides household food security in the search for determinants of child diet adequacy. In this study at least, household food security was a very weak marker of child diet adequacy. This finding is of significance to public health practice, since it calls into question any assumption that having enough food in a household necessarily results in adequately fed children.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure