Literature DB >> 35254392

Update on Analytical Methods and Research Gaps in the Use of Household Consumption and Expenditure Survey Data to Inform the Design of Food-Fortification Programs.

Katherine P Adams1, Stephen A Vosti2, Mduduzi N N Mbuya3, Valerie M Friesen3, Reina Engle-Stone1.   

Abstract

The lack of nationally representative, individual-level dietary intake data has led researchers to increasingly turn to household-level data on food acquisitions and/or consumption to inform the design of food-fortification programs in low- and middle-income countries (LMICs). These nationally representative, household-level data come from household consumption and expenditure surveys (HCESs), which are collected regularly in many LMICs and are often made publicly available. Our objectives were to examine the utility of HCES data to inform the design of food-fortification programs and to identify best-practice methods for analyzing HCES data for this purpose. To this end, we summarized information needed to design fortification programs and assessed the extent to which HCES data can provide corresponding indicators. We concluded that HCES data are well suited to guide the selection of appropriate food vehicles, but because individual-level estimates of apparent nutrient intakes rely on assumptions about the intrahousehold distribution of food, more caution is advised when using HCES data to select the target micronutrient content of fortified foods. We also developed a checklist to guide analysts through the use of HCES data and, where possible, identified research-based, best-practice analytical methods for analyzing HCES data, including selecting the number of days of recall data to include in the analysis and converting reported units to standard units. More research is needed on how best to deal with composite foods, foods consumed away from home, and extreme values, as well as the best methods for assessing the adequacy of apparent intakes. Ultimately, we recommend sensitivity analyses around key model parameters, and the continual triangulation of HCES-based results with other national and subnational data on food availability, dietary intake, and nutritional status when designing food-fortification programs.
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition.

Entities:  

Keywords:  dietary data; food fortification; household consumption and expenditure surveys; micronutrients; nutrition

Mesh:

Substances:

Year:  2022        PMID: 35254392      PMCID: PMC9156391          DOI: 10.1093/advances/nmac021

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   11.567


  32 in total

1.  Methods of using household consumption and expenditures survey (HCES) data to estimate the potential nutritional impact of fortified staple foods.

Authors:  Beth Imhoff-Kunsch; Rafael Flores; Omar Dary; Reynaldo Martorell
Journal:  Food Nutr Bull       Date:  2012-09       Impact factor: 2.069

Review 2.  Measurement of food consumption to inform food fortification and other nutrition programs: an introduction to methods and their application.

Authors:  Omar Dary; Beth Imhoff-Kunsch
Journal:  Food Nutr Bull       Date:  2012-09       Impact factor: 2.069

3.  The adult male equivalent concept and its application to Household Consumption and Expenditures Surveys (HCES).

Authors:  Robert Weisell; Marie Claude Dop
Journal:  Food Nutr Bull       Date:  2012-09       Impact factor: 2.069

Review 4.  A program needs-driven approach to selecting dietary assessment methods for decision-making in food fortification programs.

Authors:  Jennifer Coates; Brooke Colaiezzi; John L Fiedler; James Wirth; Keith Lividini; Beatrice Rogers
Journal:  Food Nutr Bull       Date:  2012-09       Impact factor: 2.069

5.  Household Consumption and Expenditures Surveys (HCES): a primer for food and nutrition analysts in low- and middle-income countries.

Authors:  John L Fiedler; Keith Lividini; Odilia I Bermudez; Marc-Francois Smitz
Journal:  Food Nutr Bull       Date:  2012-09       Impact factor: 2.069

6.  Wheat flour fortification is unlikely to benefit the neediest in Guatemala.

Authors:  Beth Imhoff-Kunsch; Rafael Flores; Omar Dary; Reynaldo Martorell
Journal:  J Nutr       Date:  2007-04       Impact factor: 4.798

Review 7.  Global Dietary Surveillance: Data Gaps and Challenges.

Authors:  Renata Micha; Jennifer Coates; Catherine Leclercq; U Ruth Charrondiere; Dariush Mozaffarian
Journal:  Food Nutr Bull       Date:  2018-02-25       Impact factor: 2.069

8.  Assessing alternative industrial fortification portfolios: a Bangladesh case study.

Authors:  John L Fiedler; Keith Lividini; Christophe Guyondet; Odilia I Bermudez
Journal:  Food Nutr Bull       Date:  2015-03       Impact factor: 2.069

9.  Assessing Coverage of Population-Based and Targeted Fortification Programs with the Use of the Fortification Assessment Coverage Toolkit (FACT): Background, Toolkit Development, and Supplement Overview.

Authors:  Valerie M Friesen; Grant J Aaron; Mark Myatt; Lynnette M Neufeld
Journal:  J Nutr       Date:  2017-04-12       Impact factor: 4.798

Review 10.  Large-Scale Food Fortification and Biofortification in Low- and Middle-Income Countries: A Review of Programs, Trends, Challenges, and Evidence Gaps.

Authors:  Saskia J M Osendarp; Homero Martinez; Greg S Garrett; Lynnette M Neufeld; Luz Maria De-Regil; Marieke Vossenaar; Ian Darnton-Hill
Journal:  Food Nutr Bull       Date:  2018-06       Impact factor: 2.069

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