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Diet Matters: Approaches and Indicators to Assess Agriculture's Role in Nutrition. Diego Rose, Brian Luckett, and Adrienne Mundorf School of Public Health & Tropical Medicine Tulane University. Main objectives.
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Diet Matters:Approaches and Indicators to Assess Agriculture's Role in Nutrition Diego Rose, Brian Luckett, and Adrienne Mundorf School of Public Health & Tropical Medicine Tulane University
Main objectives • Outline plausible mechanisms in which agriculture and food-based interventions can improve nutrition through the diet pathway • Identify approaches and indicators to measure progress in this area
Outline • Augmented Causal Framework • Indicators • Individual • Household • National • Data Collection Systems • Recommendations
Household access to adequate resources: land, education, employment, income, technology Inadequate financial, human, physical and social capital Sociocultural, economic, and political context A Standard Framework Outlining Causes of Undernutrition Short-term consequences Long-term consequences Outcomes Maternal and child undernutrition Inadequate dietary intake Disease Immediate causes Unhealthy household environment and inadequate health services Household Food Insecurity Inadequate care and feeding practices Underlying causes Basic causes
Zoom-in on determinants of household food security Household Food Security Gathering Fishing Hunting Own production (food & cash crops, livestock, fish farm) Food purchases Food receipts Sales Cash income Non-agricultural production Trading Employment Cash receipts Debts (Adapted from WFP, 2005)
Household access to adequate resources: land, education, employment, income, technology Inadequate financial, human, physical and social capital Sociocultural, economic, and political context A Standard Framework Outlining Causes of Undernutrition Short-term consequences Long-term consequences Outcomes Maternal and child undernutrition Inadequate dietary intake Disease Immediate causes Unhealthy household environment and inadequate health services Household Food Insecurity Inadequate care and feeding practices Underlying causes Basic causes
Individual-Level Measures • Dietary outcomes are challenging due to multi-dimensionality • many nutrients, all essential • So, aggregation of data into a single index • e.g. Mean Probability of Adequacy • Measurement is also challenging, costly • diet is a complex set of behaviors • 'Gold standard' methods are costly • Proxies for diet quality • simple indicators of diet diversity
Lack of universal approaches Dietary Proxy Validation Research • Different indicators • Foods, food groups, fdgrp systems ± min quantity • Many different benchmarks • MAR, MPA, MMDA • Several different cutoff points – 50%, 75%, etc • Different collection methods • Weighed food record, 24-hour recall, food frequency • Different criteria • Correlations, sensitivity, specificity, area under ROC, prediction equations
Diet Proxy Validation ResearchOutcomes • Modest predictive power • good for population monitoring: project process, trends over time, or general planning • not good for evaluating impact • Best proxies tend to be country-specific • Elimination of 'minimum quantities' improves estimates • can it be implemented in a low-cost field method?
Household Level MeasuresFood Expenditure Modules • Energy availability, food poverty • household food security interventions • Food group availability • biofortification studies • other specific crop/livestock interventions
Household Level MeasuresDiversity Proxy Indicators • Household Diet Diversity Score • 16 groups in data collection collapsed to 12 • 24 hrrecall (not quantitative) • 1 point for each group • Food Consumption Score • 8 groups • 1 week food frequency • weights used in calculation
Country Level MeasuresUsing Food Supply Data • Prevalence of undernourishment • energy per capita + distributional measure + threshold • Micronutrient densities • micronutrients per 1000 kilocalories • compared to micronutrient density goals • Healthy eating index • score based on U.S. diet guidelines • food groups, negative components (fats, sugars)
Data Collection Systems • Demographic and Health Surveys • Measure USAID • Multiple Indicator Cluster System • UNICEF • Living Standard Measurement Study • World Bank • Vulnerability Analysis and Mapping Surveys • World Food Program • FAOSTAT • National food supply data, other info
RecommendationsBest Practices • To evaluate agricultural programs & policies: assess outcomes proximal to interventions • Continue to foster a diverse set of indicators for population monitoring • Women's Diet Diversity Score on DHS, MICS • Food Consumption Score on VAM, LSMS • Pilot-test 24-Hr Recall on LSMS • Food Balance Sheet indicators
RecommendationsResearch & Development • New proxy validation research should • integrate several indicators • include information on costs • Focus on making 'gold standards' less costly, rather than on making more low-cost proxies • New research is needed on developing indicators of energy expenditure
RecommendationsNutritional Diplomacy • Seek inter-agency collaboration in • survey implementation • instrument, indicator development • Use representative expert panels to develop consensus on • specific indicators, overall measurement approach • thresholds to count the affected