Literature DB >> 23193777

Still waiting for Godot? Improving Household Consumption and Expenditures Surveys (HCES) to enable more evidence-based nutrition policies.

John L Fiedler1, Calogero Carletto, Olivier Dupriez.   

Abstract

BACKGROUND: The constrained evidence base of food and nutrition policy-making compromises nutrition programs. Nutrition policy-making must do better than relying exclusively on Food and Agriculture Organization Food Balance Sheets. The strategy of relying on observed-weighed food record or 24-hour recall surveys has not proven practical either; they remain few in number, generally not nationally representative, and of dubious external validity. Although Household Consumption and Expenditures Surveys (HCES) have shortcomings, they are increasingly being used to address this information gap.
OBJECTIVE: To promote dialog within the nutrition community, and between it and the greater community of HCES stakeholders, in order to identify their shared agenda and develop a strategy to improve HCES for analyzing food and nutrition issues.
METHODS: The diverse origins and objectives of HCES are described, the evolution of their use in addressing food and nutrition issues is traced, and their shortcomings are identified.
RESULTS: The causes, relative importance, some potential solutions, and the strategic implications of three distinct categories of shortcomings are discussed. Elements of a possible approach and process for strengthening the surveys are outlined, including identifying best practices, developing guidelines and more rigorously analyzing the tradeoffs involved in common, key survey design and implementation decisions.
CONCLUSIONS: To date, the nutrition community's role in most HCES has been as a passive user of secondary data. The nutrition community must become more involved in the design, implementation, and analysis of HCES by identifying criteria for prioritizing countries, establishing assessment criteria, applying the criteria in retrospective assessments, identifying key shortcomings, and recommending alternatives to ameliorate the shortcomings. Several trends suggest that this is a propitious time for improving the relevance and reliability of HCES.

Mesh:

Year:  2012        PMID: 23193777     DOI: 10.1177/15648265120333S214

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


  14 in total

Review 1.  What are we assessing when we measure food security? A compendium and review of current metrics.

Authors:  Andrew D Jones; Francis M Ngure; Gretel Pelto; Sera L Young
Journal:  Adv Nutr       Date:  2013-09-01       Impact factor: 8.701

2.  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.

Authors:  Katherine P Adams; Stephen A Vosti; Mduduzi N N Mbuya; Valerie M Friesen; Reina Engle-Stone
Journal:  Adv Nutr       Date:  2022-06-01       Impact factor: 11.567

3.  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

4.  Trade as a structural driver of dietary risk factors for noncommunicable diseases in the Pacific: an analysis of household income and expenditure survey data.

Authors:  Michelle Sahal Estimé; Brian Lutz; Ferdinand Strobel
Journal:  Global Health       Date:  2014-06-13       Impact factor: 4.185

5.  A cross-sectional analysis of the cost and affordability of achieving recommended intakes of non-starchy fruits and vegetables in the capital of Vanuatu.

Authors:  Holly A Jones; Karen E Charlton
Journal:  BMC Public Health       Date:  2015-03-28       Impact factor: 3.295

6.  Household food group expenditure patterns are associated with child anthropometry at ages 5, 8 and 12 years in Ethiopia, India, Peru and Vietnam.

Authors:  Debbie L Humphries; Kirk A Dearden; Benjamin T Crookston; Tassew Woldehanna; Mary E Penny; Jere R Behrman
Journal:  Econ Hum Biol       Date:  2017-02-14       Impact factor: 2.184

7.  How can we better capture food away from Home? Lessons from India's linking person-level meal and household-level food data.

Authors:  John L Fiedler; Suryakant Yadav
Journal:  Food Policy       Date:  2017-10       Impact factor: 4.552

8.  Does ownership of improved dairy cow breeds improve child nutrition? A pathway analysis for Uganda.

Authors:  Nassul S Kabunga; Shibani Ghosh; Patrick Webb
Journal:  PLoS One       Date:  2017-11-10       Impact factor: 3.240

9.  Dietary Patterns and Determinants of Changing Diets in Bangladesh from 1985 to 2010.

Authors:  Jillian L Waid; Sheela S Sinharoy; Masum Ali; Ame E Stormer; Shakuntala H Thilsted; Sabine Gabrysch
Journal:  Curr Dev Nutr       Date:  2018-11-21

10.  Affordability of nutritious foods for complementary feeding in South Asia.

Authors:  Theresa Ryckman; Ty Beal; Stella Nordhagen; Zivai Murira; Harriet Torlesse
Journal:  Nutr Rev       Date:  2021-03-09       Impact factor: 7.110

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