ArticleAdvances in nutrition (Bethesda, Md.)2022
Update on Analytical Methods and Research Gaps in the Use of Household Consumption and Expenditure Survey Data to Inform the Design of Food-Fortification Programs.
Article in Advances in nutrition (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Mandatory Food Fortification Vehicles in Indonesia: Consumption Patterns and Demand Elasticities from Susenas 2024.Foods (Basel, Switzerland) · 2026Article
- Diversified food fortification portfolios can enhance coverage of micronutrient-vulnerable populations in West Africa.Nature food · 2026Article
- The risk of dietary multiple micronutrient inadequacies is widespread and geographically varied in Malawi.BMC nutrition · 2026Article
- Predicting risk of inadequate micronutrient intake with transferable machine learning models.Scientific reports · 2026Article
- Sex differences in nutrient gaps among active adults.Journal of nutritional science · 2026Article
- Potential Contributions of Edible Oil and Wheat Flour Fortification on Reducing Inadequate Micronutrient Intake in Ethiopia.Annals of the New York Academy of Sciences · 2025Article
- Cost effectiveness of fortified bouillon in addressing Burkinabe children's vitamin A inadequacy: An economic optimization model.Annals of the New York Academy of Sciences · 2025Article
- Informing the Design of Large-Scale Food Fortification Programs with Secondary Data: Pilot Results from Nigeria and Zambia.Current developments in nutrition · 2025Article
- Estimating food consumption, micronutrient intake and the contribution of large-scale food fortification to micronutrient adequacy in Tanzania.Public health nutrition · 2024Article
- The Potential for Bouillon Fortification to Reduce Dietary Micronutrient Inadequacy: Modeling Analyses Using National Survey Data from Cameroon, Ghana, and Haiti.Current developments in nutrition · 2024Article
- Current and potential contributions of large-scale food fortification to meeting micronutrient requirements in Senegal: a modelling study using household food consumption data.BMJ public health · 2024Article
- Consumption of Discretionary Salt and Salt from Bouillon among Households, Women, and Young Children in Northern Region, Ghana: A Mixed-Methods Study with the Condiment Micronutrient Innovation Trial (CoMIT) Project.Current developments in nutrition · 2024Article
- Estimating the cost and cost-effectiveness of adding zinc to, and improving the performance of, Burkina Faso's mandatory wheat flour fortification programme.Maternal & child nutrition · 2023Article
- Comparing two simplified questionnaire-based methods with 24-h recalls for estimating fortifiable wheat flour and oil consumption in Mandaluyong City, Philippines.Maternal & child nutrition · 2023Article
- A generic theory of change-based framework with core indicators for monitoring the effectiveness of large-scale food fortification programs in low- and middle-income countries.Frontiers in nutrition · 2023Article
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5 authors.
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Abstract
The lack of nationally representative, individual-level dietary intake data has led researchers to increasingly turn to household-level data on food acquisitions and/or consumption to inform the design of food-fortification programs in low- and middle-income countries (LMICs). These nationally representative, household-level data come from household consumption and expenditure surveys (HCESs), which are collected regularly in many LMICs and are often made publicly available. Our objectives were to examine the utility of HCES data to inform the design of food-fortification programs and to identify best-practice methods for analyzing HCES data for this purpose. To this end, we summarized information needed to design fortification programs and assessed the extent to which HCES data can provide corresponding indicators. We concluded that HCES data are well suited to guide the selection of appropriate food vehicles, but because individual-level estimates of apparent nutrient intakes rely on assumptions about the intrahousehold distribution of food, more caution is advised when using HCES data to select the target micronutrient content of fortified foods. We also developed a checklist to guide analysts through the use of HCES data and, where possible, identified research-based, best-practice analytical methods for analyzing HCES data, including selecting the number of days of recall data to include in the analysis and converting reported units to standard units. More research is needed on how best to deal with composite foods, foods consumed away from home, and extreme values, as well as the best methods for assessing the adequacy of apparent intakes. Ultimately, we recommend sensitivity analyses around key model parameters, and the continual triangulation of HCES-based results with other national and subnational data on food availability, dietary intake, and nutritional status when designing food-fortification programs.
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