Abstract
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. 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. Rural Bangladesh.ParticipantsA total of 6500 households. 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. 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.
Highlights
The present paper demonstrates that following a simple and systematic method derived from nutritional epidemiology can contribute to the development of a robust food list for use in an household consumption and expenditure surveys (HCES) that can be used to capture information on nutrient intake across a range of key nutrients
The analysis showed that using a data-driven approach and combining rankings based on both total intake and between-person variation can result in a parsimonious and comprehensive food list for rural Bangladesh that captures 90 % of total nutrient intake and 90 % of between-person variance in the consumption of key nutrients
To ensure that the food list is aligned with the traditional needs of the HCES and to make sure that the food list is clear, additional steps are necessary, such as ensuring that all key expenditure food items are in the list; pre-testing the food list with enumerators and respondents; ensuring the food groups and ordering of foods makes sense; and estimating the amounts of foods consumed
Summary
The present study relied on the first round of the survey conducted in 2011/12 and released in 2013. The data for this round were collected between October 2011 and March 2012, spanning the late autumn (hemanta) and winter (shit) in Bangladesh. The total number of foods (individual items and composite dishes) reported in the 24 h open dietary recall was 288 individual items.* Ingredients were reported for each household recipe or composite dish (i.e. standardized recipes were not used in the first round of the survey in 2011/12) and food consumed away from home was reported as a composite dish without details on the dishes’ ingredients.
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