Patterns: A Nigerian Example

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USING HCES FOOD ACQUISITION DATA TO Better Understand Dietary Patterns: A Nigerian Example Case Study: Nigeria General Household Survey, Post-Harvest Panel, 2010-2011 Odilia I. Bermudez, PhD, MPH, LDN Tufts University School of Medicine

Dietary Assessment at Population Level Goal: determination of usual intakes of foods in specific population groups Measuring total consumption Food, beverages and supplements Selecting the dietary assessment method Estimation of Total Nutrient Intakes Food Composition Tables / Nutrient Databases Assessment of nutrient intakes Use of Reference Values: DRIs from FAO/WHO, USA/Canada, etc. Dietary Guidelines / Dietary Guidance

Dietary Assessment Methods Food records or diaries (including weighed intakes) Dietary recalls Food frequency questionnaires (FFQ's) Dietary histories Observed intakes Chemical analyses of duplicate collections of foods consumed Biological assessments (e.g. doubly-labeled water, plasma carotene, etc.) No dietary method can measure dietary intake without error. It is important that sources of error are taken into account when assessing dietary intake

Methodologies for Indirect Estimations of Food Consumption Pre-defined Food Lists Inventory of foods for family consumption Foods purchased or from different sources (e.g. own production, donated, etc.) Food Consumption At home Away from home Estimation of food quantities and costs Food Expenditure Profiles Food Intake Energy and Nutrient Intakes

METHODS [Data Processing] Data from the LSMS, General Household Survey (GHS), post-harvest panel, 2010-2011 Demographics, Income and economic data Food and non-food expenditure Foods consumed at home and away from home

METHODS [Data Processing] Food acquisition data collected over a specific number of days (at household levels) Converted into daily food amounts Identified Food Acquisition by source Purchased Produced Gifted (gifts, donations) Other

METHODS Development of a Food Composition Table FCT Compilation of energy and nutrient values from the USDA Nutrient Database Consultation & reviews by national experts Improvements with entries from the West African FCT Complemented with food descriptions from published papers and Internet searches about ethnic foods Development of recipes for mixed dishes

METHODS [Estimation of Energy and Nutrient Content] Development of analytical datasets Assessment of data plausibility Nutrient Analysis Statistical estimations with data adjusted with sample weights

SAMPLE DESCRIPTION, NIGERIA 2010-11

SAMPLE DESCRIPTION, by Age and Sex

Food Sources: Purchased and Total. Nigeria 2010

MAIN SOURCES OF FOOD ENERGY Energy Sources in 2003 (Nat Nutr. Survey) Rice 14.8%, Cassava 12.9%, Maize 10.6%, Yam 10.1%

FOOD SOURCES OF VITAMIN A

Apparent Energy Intake (kcal) by Poverty Estimates. Nigeria 2010

Mean Intakes of Iron and Zinc by Poverty Status (mg/ace/day), Bangladesh 2010 Daily needs per ACE (Adult consumption equivalents): 21.3 mg of Iron and 8.8. mg of Zinc Data source: BD-2010 HCES

Vitamin A as EAR % at Baseline and Endlines. Nigeria 2010

LIMITATIONS Use of HCES, non-dietary data, for dietary purposes Assumptions for intra-household food distribution based on pre-established factors (e.g. ACE) Does not address nutrition needs of pregnant, lactating and young children Potential for under-reporting (short memory, education level, different sources of foods) Potential for over-estimation of consumption due to over-reporting, wastage and/or stockpiling

CONCLUSIONS Apparent intakes of foods and selected micronutrients were estimated with the 2010 HCES of Nigeria We were able to assess inadequate intakes of specific MNs (vitamin A, iron and zinc) A particular strength of the data was the inclusion of foods eaten away from home The results could guide the identification of vulnerable populations that could be targeted for: micronutrient fortification supplementation programs or, other types of interventions

CONCLUSIONS The identification of potential fortification vehicles is needed as we are aware that this is a proven intervention that, along with others, could help in the alleviation of micronutrient deficiencies In the most vulnerable countries of the world (e.g. in Sub-Saharan Africa and South Asia) And among them, in the most vulnerable group: children <5 Half of the deaths and half of the disability-adjusted life years (DALYs) are due to deficiencies of vitamin A, iron, zinc and iodine.

THANK YOU! ACKNOWLEDGEMENTS This presentation was based on the work of a large group of collaborators from Nigeria, the U.S and other countries, among whom we acknowledge the direct work we do with: Dr. John L. Fiedler, IFPRI (HarvestPlus and PHND) and SPRING/USAID MS/MPH Keith Lividini, IFPRI/HarvestPlus Special thanks and recognition are presented here for the support and collaboration of Prof. Issac O. Akinyele (deceased)