Evaluating pictorial charts as a means of collecting participant-recorded data on household dietary diversity in low-literacy communities in Tanzania.


Journal

The British journal of nutrition
ISSN: 1475-2662
Titre abrégé: Br J Nutr
Pays: England
ID NLM: 0372547

Informations de publication

Date de publication:
28 12 2019
Historique:
pubmed: 15 10 2019
medline: 17 6 2020
entrez: 15 10 2019
Statut: ppublish

Résumé

Innovative methods to collect dietary data at multiple times across the year are needed to better understand seasonal or temporal changes in household diets and measure the impact of nutrition-sensitive agricultural programmes in low-income countries. The present study aims to validate a picture-based research tool for participants to self-record their household's dietary diversity each month in villages of Manyoni District, Tanzania. Pictorial record charts were developed to reflect local food resources. In 113 randomly selected households, the person responsible for food preparation was trained to mark all items consumed by any household member within the home, or prepared for consumption outside the home, for a single recording day. The next day, an interview-based household 24-h food recall (H24HR) was collected for the same period. Separate analyses tested agreement (a) between picture charts and H24HR and (b) between H24HR following chart completion and on an alternative day. Concordance between methods differed between food groups and items but was high to very high for all cereals, vegetables, pulses, legumes and nuts and almost all fruits. Recording of ten items (including non-cultivated fruits and ingredients of mixed dishes) differed significantly between H24HR assessments, all of which were reported by more households in interviews following chart completion. Results suggest potential for visual prompts and the contemporaneous nature of data collection to improve the accuracy of interview-based recall. With adequate investment in developing and implementing context-adapted tools, pictorial charts may also offer an effective standalone method for use at multiple time-points in agricultural programmes.

Identifiants

pubmed: 31607278
pii: S0007114519002587
doi: 10.1017/S0007114519002587
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1432-1440

Auteurs

Julia de Bruyn (J)

Natural Resources Institute, University of Greenwich, Central Avenue, Chatham Maritime, Kent ME4 4TB, UK.
Innovative Methods and Metrics for Agriculture and Nutrition Actions, Friedman School of Nutrition Science and Policy, Tufts University, Medford, MA, USA.

John Msuya (J)

Department of Food Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania.

Elaine Ferguson (E)

Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK.

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Classifications MeSH