Evidence map›Paper›PMID 35254392›Full record

ArticleAdvances in nutrition (Bethesda, Md.)2022

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 Adams, Stephen A Vosti, Mduduzi N N Mbuya, Valerie M Friesen, Reina Engle-Stone

Abstract read
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Article in Advances in nutrition (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  5. Sex differences in nutrient gaps among active adults.Journal of nutritional science · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Katherine P AdamsInstitute for Global Nutrition, University of California, Davis, Davis, CA, USA.ORCID 0000-0002-1060-2473
Stephen A VostiDepartment of Agricultural and Resource Economics, University of California, Davis, Davis, CA, USA.
Mduduzi N N MbuyaGlobal Alliance for Improved Nutrition, Geneva, Switzerland.
Valerie M FriesenGlobal Alliance for Improved Nutrition, Geneva, Switzerland.
Reina Engle-StoneInstitute for Global Nutrition, University of California, Davis, Davis, CA, USA.ORCID 0000-0003-2446-6166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Energy IntakeHealth ExpendituresDiet SurveysFood, FortifiedHumansMicronutrientsMicronutrientsdietary datafood fortificationhousehold consumption and expenditure surveysmicronutrientsnutrition

Identifiers

PMID35254392
PMCPMC9156391

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.