Issues in the Measurement of Undernutrition

Anand, Sharmila; Harris, Civonnia

doi:10.1093/acprof:oso/9780198283966.003.0007

Cited by 12 publications

(6 citation statements)

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“…But these have been calculated from extensive household survey data and national agricultural census data to estimate the distribution of access to food across a population and Food Balance Sheets (FBS), respectively. Concerning the FEEDME model, there are three main areas of uncertainty: firstly, the use of the curve fit to characterize the variability of distribution of food consumption across the whole population; secondly, estimates of the cutoff point for intake inadequacy defined on the basis of Minimum Dietary Energy Requirements (MDER) referring to the specification of the basic metabolic rates of individuals, which vary with sex, age, and the level of physical activity (Anand & Harris, 1992;de Haen et al, 2011); and thirdly, the utility and accuracy of FBS, which accounts for food availability, as a proxy for food consumption. While there have been criticisms (Naiken, 2007), the lognormal (skewed curve) model was initially adopted due its simplicity, requiring only two parameters to characterize it, specifically the mean calories and a coefficient of variation of dietary energy consumption (kcal Person −1 Day −1 ) owing to income inequalities, expressed in terms of the well-known Gini coefficient.…”

Section: Discussionmentioning

confidence: 99%

Impacts of land use, population, and climate change on global food security

Molotoks

Smith

Dawson

2020

Food and Energy Security

270

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In recent years, global hunger has begun to rise, returning to levels from a decade ago. Climate change is a key driver behind these recent rises and is one of the leading causes of severe food crises. When coupled with population growth and land use change, future climate variability is predicted to have profound impacts on global food security. We examine future global impacts of climate variability, population, and land use change on food security to 2050, using the modeling framework FEEDME (Food Estimation and Export for Diet and Malnutrition Evaluation). The model uses national food balance sheets (FBS) to determine mean per capita calories, hence incorporating an assumption that minimum dietary energy requirements (MDER) remain constant. To account for climate variability, we use two Representative Concentration Pathway (RCP) scenarios from the Intergovernmental Panel on Climate Change (IPCC), alongside three Shared Socio‐economic Pathway (SSP) scenarios incorporating land use and population change within the model. Our results indicate that SSP scenarios have a larger impact on future food insecurity, in particular because of projected changes in population. Countries with a projected decrease in population growth had higher food security, while those with a projected rapid population growth tended to experience the worst impacts on food security. Although climate change scenarios had an effect on future crop yields, population growth appeared to be the dominant driver of change in undernourishment prevalence. Therefore, strategies to mitigate the consequences of projected population growth, including improved maternal health care, increasing equality of access to food at the national level, closing the yield gap, and changes in trade patterns, are essential to ensuring severe future food insecurity is avoided.

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Section: Discussionmentioning

confidence: 99%

Impacts of land use, population, and climate change on global food security

Molotoks

Smith

Dawson

2020

Food and Energy Security

270

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“…For policy planners and program designers engaged in tackling child malnutrition, it is now imperative to first understand the relationship between socio‐economic characteristics and undernutrition. Identifying socio‐economic factors that significantly affect child nutrition status would provide valuable practical leads for combating the causes of child malnutrition and stunting in the country (Anand & Harris, ; Gopalan, ).…”

Section: Introductionmentioning

confidence: 99%

Child Malnutrition in Indonesia: Can Education, Sanitation and Healthcare Augment the Role of Income?

Silva

Sumarto

2018

J of Intl Development

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In spite of the sustained economic growth and progress in reducing poverty, the status of child nutrition is abysmal in Indonesia with chronic malnutrition rates continuing to remain at very high levels. In this backdrop, this study attempts to shed light on the channels through which various socio‐economic factors affect children's nutritional status in Indonesia. Utilizing recent data from Indonesian Family Life Survey, and controlling for an exhaustive set of socio‐economic factors, it emerged that mother's education, water and sanitation conditions, household poverty and access to healthcare to strongly influence chronic malnutrition among children in Indonesia. Child stunting rates were surprisingly high even in the wealthiest quintile of households, implying that income growth merely will not automatically solve the nutritional problem. Copyright © 2018 John Wiley & Sons, Ltd.

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“…For a discussion of these issues in the context of the U.S. poverty line seeCitro and Michael (1995).20 SeeAtkinson (1987) on the conditions under which unambiguous rankings are possible if the poverty line is within a known interval. For an overview of this approach and further references seeRavallion (1994a).21 This is well recognized; seeOsmani (1992),Anand and Harris (1992), andPayne and Lipton (1993).…”

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confidence: 99%

Poverty Lines in Theory and Practice

Ravallion¹

1998

322

168

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To present the results of the Living Standards Measurement Study with the least possible delay, the typescript of this paper has not been prepared in accordance with the procedures appropriate to formal printed texts, and the World Bank accepts no responsibility for errors. Some sources cited in this paper may be informal documents that are not readily available. The findings, interpretations, and conclusions expressed in this paper are entirely those of the author(s) and should not be attributed in any manner to the World Bank, to its affiliated organizations, or to members of its Board of Executive Directors or the countries they represent. The World Bank does not guarantee the accuracy of the data included in this publication and accepts no responsibility whatsoever for any consequence of their use. The boundaries, colors, denominations, and other information shown on any map in this volume do not imply on the part of the World Bank Group any judgment on the legal status of any territory or the endorsement or acceptance of such boundaries.

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Issues in the Measurement of Undernutrition

Cited by 12 publications

References 0 publications

Impacts of land use, population, and climate change on global food security

Impacts of land use, population, and climate change on global food security

Child Malnutrition in Indonesia: Can Education, Sanitation and Healthcare Augment the Role of Income?

Poverty Lines in Theory and Practice

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