1. Getting the food list ‘right’: an approach for the development of nutrition-relevant food lists for household consumption and expenditure surveys
- Author
-
Bell, Winnie, Coates, Jennifer C, Rogers, Beatrice L, and Bermudez, Odilia I
- Subjects
Adult ,Rural Population ,Bangladesh ,Family Characteristics ,Food list development ,Middle Aged ,Nutrition Surveys ,Diet Records ,Dietary data ,Diet ,Household consumption surveys ,Food consumption data ,Food ,Assessment and Methodology ,Mental Recall ,Humans ,Female ,Health Expenditures ,Research Paper - 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.
- Published
- 2018