Using Household Consumption Data to Flag Low Nutrient Access.

assessments food consumption humanitarian contexts nutrient access nutrient-rich food group proxy indicator surveys

Journal

Food and nutrition bulletin
ISSN: 1564-8265
Titre abrégé: Food Nutr Bull
Pays: United States
ID NLM: 7906418

Informations de publication

Date de publication:
12 2022
Historique:
pubmed: 13 10 2022
medline: 29 11 2022
entrez: 12 10 2022
Statut: ppublish

Résumé

Information on food consumption, dietary diversity, and nutrient inadequacies are key for informing food security and nutrition programming. Household- and individual-level data together provide the most complete information, but individual dietary modules are not always feasible in humanitarian contexts due to cost and time constraints. This article asks to what extent it is possible to use food consumption data which is commonly collected at household level through food security and vulnerability surveys, to assess the household's access to vitamin A and iron. The validation analysis uses household food consumption and expenditure surveys from Guatemala, Honduras, Nepal, and Uganda and the adult male equivalent approach for calculating nutrient access. The results show a positive significant correlation between the frequency of consumption and adequacy as estimated from comprehensive household food consumption modules, with correlation in the range of 0.4 to 0.7. Frequency thresholds for distinguishing between adequate and inadequate nutrient access, based on how often foods rich in the relevant nutrient are eaten during 1 week, mostly fulfill standard sensitivity and specificity criteria. The article concludes that in humanitarian contexts, a frequency-based proxy for nutrient access based on household data commonly collected in emergency assessments and through monitoring systems can be used and can support this particular data gap. As a rule of thumb, a frequency threshold of 7 should be used for vitamin A and of 12 for iron.

Sections du résumé

BACKGROUND
Information on food consumption, dietary diversity, and nutrient inadequacies are key for informing food security and nutrition programming. Household- and individual-level data together provide the most complete information, but individual dietary modules are not always feasible in humanitarian contexts due to cost and time constraints.
OBJECTIVE
This article asks to what extent it is possible to use food consumption data which is commonly collected at household level through food security and vulnerability surveys, to assess the household's access to vitamin A and iron.
METHODS
The validation analysis uses household food consumption and expenditure surveys from Guatemala, Honduras, Nepal, and Uganda and the adult male equivalent approach for calculating nutrient access.
RESULTS
The results show a positive significant correlation between the frequency of consumption and adequacy as estimated from comprehensive household food consumption modules, with correlation in the range of 0.4 to 0.7. Frequency thresholds for distinguishing between adequate and inadequate nutrient access, based on how often foods rich in the relevant nutrient are eaten during 1 week, mostly fulfill standard sensitivity and specificity criteria.
CONCLUSIONS
The article concludes that in humanitarian contexts, a frequency-based proxy for nutrient access based on household data commonly collected in emergency assessments and through monitoring systems can be used and can support this particular data gap. As a rule of thumb, a frequency threshold of 7 should be used for vitamin A and of 12 for iron.

Identifiants

pubmed: 36221251
doi: 10.1177/0379572121989219
doi:

Substances chimiques

Vitamin A 11103-57-4
Iron E1UOL152H7

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

479-499

Auteurs

Astrid Mathiassen (A)

Statistics Norway, Oslo, Norway.

Margarita Lovon (M)

Independent Consultant, Cusco, Peru.

Barbara Baille (B)

UNICEF, Montreuil, France.

Kathryn Ogden (K)

World Food Programme, Rome, Italy.

Susanna Sandström (S)

World Food Programme, Rome, Italy.

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Classifications MeSH