Literature DB >> 23193776

Should Household Consumption and Expenditures Surveys (HCES) be used for nutritional assessment and planning?

Suzanne Murphy1, Marie Ruel, Alicia Carriquiry.   

Abstract

BACKGROUND: Household Consumption and Expenditures Surveys (HCES) are routinely conducted in several countries on nationally representative samples, often on a regular basis. The HCES have been considered as a potential alternative to more expensive surveys of individuals'food intakes for use in nutritional assessment and in planning programs such as food fortification. HCES gather information on household food availability (purchased, produced, or received as gifts) and use over a given period of time, often the past week or month.
OBJECTIVE: To discuss the potential usefulness of HCES consumption data for nutritional assessment and planning for populations of households and individuals within the households.
CONCLUSIONS: There are several limitations to the HCES, most notably the difficulty of estimating the intrahousehold allocation of foods and therefore of quantifying the actual food intake of individual household members. Another concern is the lack of information on the variability of consumption over time, making it difficult to estimate the distribution of usual consumption, and thus the prevalence of nutrient inadequacies or excesses. Other potential limitations might be addressed by improvements to the HCES questionnaires, such as including information on foods that are available but not consumed and those that are consumed outside the home. Research is needed to better understand both the strengths and the weaknesses of the HCES data when used to assess and plan intakes at the household and individual levels.

Entities:  

Mesh:

Year:  2012        PMID: 23193776     DOI: 10.1177/15648265120333S213

Source DB:  PubMed          Journal:  Food Nutr Bull        ISSN: 0379-5721            Impact factor:   2.069


  6 in total

Review 1.  A Proposed Research Agenda for Promoting Healthy Retail Food Environments in the East Asia-Pacific Region.

Authors:  Adrian J Cameron; Erica Reeve; Josephine Marshall; Tailane Scapin; Oliver Huse; Devorah Riesenberg; Dheepa Jeyapalan; Sandro Demaio; Fiona Watson; Roland Kupka; Karla P Correa; Miranda Blake; Kathryn Backholer; Anna Peeters; Gary Sacks
Journal:  Curr Nutr Rep       Date:  2021-12-11

2.  Household-level consumption data can be redistributed for individual-level Optifood diet modeling: analysis from four countries.

Authors:  Frances Knight; Monica Woldt; Kavita Sethuraman; Gilles Bergeron; Elaine Ferguson
Journal:  Ann N Y Acad Sci       Date:  2021-11-30       Impact factor: 6.499

3.  A comparison of diet quality indices in a nationally representative cross-sectional study of Iranian households.

Authors:  Sara Ebrahimi; Sarah A McNaughton; Rebecca M Leech; Morteza Abdollahi; Anahita Houshiarrad; Katherine M Livingstone
Journal:  Nutr J       Date:  2020-12-05       Impact factor: 3.271

4.  Estimating national and subnational nutrient intake distributions of global diets.

Authors:  Simone Passarelli; Christopher M Free; Lindsay H Allen; Carolina Batis; Ty Beal; Anja Pia Biltoft-Jensen; Sabri Bromage; Ling Cao; Analí Castellanos-Gutiérrez; Tue Christensen; Sandra P Crispim; Arnold Dekkers; Karin De Ridder; Selma Kronsteiner-Gicevic; Christopher Lee; Yanping Li; Mourad Moursi; Isabelle Moyersoen; Josef Schmidhuber; Alon Shepon; Daniel F Viana; Christopher D Golden
Journal:  Am J Clin Nutr       Date:  2022-08-04       Impact factor: 8.472

5.  Using Household Expenditure Surveys for Comparable and Replicable Nutritional Analysis: Evidence from México.

Authors:  Alan Hernández-Solano; Víctor Pérez-Hernández; Soraya Burrola-Méndez; Alejandra Aguirre; Jesús Gallegos; Graciela Teruel
Journal:  Nutrients       Date:  2022-08-31       Impact factor: 6.706

6.  Assessing dietary intakes from household budget surveys: A national analysis in Bangladesh.

Authors:  Dimitra Karageorgou; Fumiaki Imamura; Jianyi Zhang; Peilin Shi; Dariush Mozaffarian; Renata Micha
Journal:  PLoS One       Date:  2018-08-27       Impact factor: 3.240

  6 in total

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