Getting the food list 'right': an approach for the development of nutrition-relevant food lists for household consumption and expenditure surveys. Issue 2 (5th November 2018)

• Record Type: Journal Article
• Authors: Bell, Winnie; Coates, Jennifer C; Rogers, Beatrice L; Bermudez, Odilia I
• Is Part Of: Public health nutrition. Volume 22:Issue 2(2019)
• Page Start: 246
• Page End: 256
• Publication Date: 2018-11-05
• Subjects: Food list development, -- Household consumption surveys, -- Dietary data, -- Food consumption data, -- Bangladesh; Nutrition -- Periodicals; Nutrition policy -- Periodicals; Public health -- Periodicals; 613.2
• DOI: 10.1017/S1368980018002847
• Languages: English
• ISSNs: 1368-9800

Abstract

Abstract: Objective: The present paper aimed to demonstrate how 24 h dietary recall data can be used to generate a nutrition-relevant food list for household consumption and expenditure surveys (HCES) using contribution analysis and stepwise regression. Design: The analysis used data from the 2011/12 Bangladesh Integrated Household Survey (BIHS), which is nationally representative of rural Bangladesh. A total of 325 primary sampling units (PSU=village) were surveyed through a two-stage stratified sampling approach. The household food consumption module used for the analysis consisted of a 24 h open dietary recall in which the female member in charge of preparing and serving food was asked about foods and quantities consumed by the whole household. Setting: Rural Bangladesh. Participants: A total of 6500 households. Results: The original 24 h open dietary recall data in the BIHS were comprised of 288 individual foods that were grouped into ninety-four similar food groups. Contribution analysis and stepwise regression were based on nutrients of public health interest in Bangladesh (energy, protein, fat, Fe, Zn, vitamin A). These steps revealed that a list of fifty-nine food items captures approximately 90 % of the total intake and up to 90 % of the between-person variation for the key nutrients based on the diets of the population. Conclusions: The study illustrates how 24 h open dietary recall data can be used to generate a country-specific nutrition-relevant food list that could be integrated into an HCES consumption module to enable more accurate and comprehensive household-level food and nutrient analyses.