Strengthening Food-based Approaches To Reduce Iron Deficiency: The FAO/WHO Global Individual Food consumption data Tool (FAO/WHO GIFT)
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1 Strengthening Food-based Approaches To Reduce Iron Deficiency: The FAO/WHO Global Individual Food consumption data Tool (FAO/WHO GIFT) CATHERINE LECLERCQ AND VICTORIA PADULA DE QUADROS DECEMBER 5 TH, 2017
2 The theory of change: providing the data that are needed to implement food-based approaches to combat iron deficiency
3 Data that can be used to assess the nutritional adequacy of the diet Food Balance Sheet (national availability) Household Food Consumption Surveys (household availability) Individual food consumption surveys (individual food intakes) Nutrient intake of individuals, to be compared with age and sex specific nutrient requirements
4 Dietary assessment methods allowing a multipurpose use of quantitative data on food intakes Quantitative Dietary record Qualitative Food Frequency Questionnaire Quantitative 24-hours recall Semi-quantitative Food Frequency Questionnaire Qualitative 24-hours recall Qualitative 24-hours recall through food list questionnaire
5 Dietary assessment methods allowing a multipurpose use of quantitative data on food intakes Quantitative Dietary record Qualitative Food Frequency Questionnaire Quantitative 24-hours recall Semi-quantitative Food Frequency Questionnaire Qualitative 24-hours recall Qualitative 24-hours recall through food list questionnaire
6 FAO/WHO GIFT Dissemination platform FAO/WHO GIFT Dissemination platform Contact:
7 The platform provides an inventory of existing quantitative individual food consumption datasets worldwide
8 Each survey contains a metadata that indicates if the information on iron intake was collected
9 The end user can select the population group that is at risk of iron deficiency
10 Food consumption patterns are described through average food consumption
11 The main sources of iron and other key micronutrients are identified
12 The overall adequacy of the diet is assessed through macronutrient contribution to total energy intake
13 The proportion of the population at risk of micronutrient deficiency is estimated
14 High consumption of specific foods allows the assessment of dietary exposure to food chemicals
15 Microdata and metadata describing the datasets can be downloaded by the end user
16 Harmonisation of individual food consumption data at global level Identification of existing data worldwide Contact with data owners Validation of the basic quality criteria FoodEx2 training provided to data managers Mapping of the data with FoodEx2 Checking of the mapping Sharing of data through FAO/WHO GIFT Through network (projects, related initiatives, etc.) Through search on public access repositories (google, PubMed, ScienceDirect, etc.) To introduce the projects and tools To require additional information related to the data Quantitative 24h recalls or records Year of assessment Total food coverage Sample size Physical or. Virtual Hands-on training with their own data vs. examples By data owner Identification of food items potentially missing in FoodEx2 By the trainer Discussion on the unclassified food items Data sharing agreement Public dissemination
17 What is FoodEx2? FoodEx2 is a comprehensive system allowing classification and description of foods at the same time developed by the European Food Safety Authority (EFSA) The same food item can be referred to in different ways FoodEx2 is a concrete proposal for a common language across databases worldwide UK: Pangasius FoodEx2: = A0F8N (Pangas catfishes) ASEAN: AAG217 - Striped catfish
18 Food description with FoodEx2 FoodEx2 allows us to precisely describe the food as consumed through facets UK: Pangasius FoodEx2: = A0F8N (Pangas catfishes) BUT ASEAN: AAG217 - Striped catfish A0F8N#F20.A07QV Pangas catfishes, PART=With skin A0F8N#F20.A07QR Pangas catfishes, PART=Without skin
19 Upgrade of FoodEx2 at global level Initiated in 2014 in collaboration between EFSA, FAO and WHO Addition of food items not consumed in Europe Insects Flowers Ants (Uganda) Banana flower (Bangladesh) Termites (Uganda) Kapok flower (Burkina Faso) Mayflies (Burkina Faso) Roselle flower (Burkina Faso)
20 Matching with food composition data When different coding systems are used food matching has to be done manually: When one coding system is used, large part of the matching can be automatized: Food consumption data: Food composition data: Food consumption data: Food composition data: Rice Rice Amaranth Banana Beef Soy sprouts Rice Amaranth Banana Beef Soy sprouts Amaranth Banana Beef Rice Amaranth Banana Beef Soy sprouts Soy sprouts
21 FoodEx2 Browser
22 Achievements Identifying information needs: webinars with potential users December 2016: 16 webinars involving 83 potential end users January to March 2017: 11 webinars involving 90 end users Harmonizing information: Upgrade of the FoodEx2 food categorization and description system to global level Support to data owners to harmonise their datasets with FoodEx2 (physical and on line trainings) Sharing data: development and publication of the FAO/WHO GIFT dissemination platform
23 FAO/WHO GIFT official launch to data providers and users
24 The FAO/WHO inter-agency team currently developing FAO/WHO GIFT FAO: Nutrition and Food Systems Division (ESN) Information Technology Division (CIO) Statistics Division (ESS) Food Safety and Quality Unit (AGFF) WHO: Department of Food Safety and Zoonoses (FOS) Department of Nutrition for Health and Development (NHD)
25 Projects and collaborations overview Institute for Health Metrics and Evaluation CGIAR Bioversity Harvest + IFPRI IARC GloboDiet Surveys Inventory Tufts University Bill & Melinda Gates Foundation Global Dietary Database INDDEX FAO FAO/WHO GIFT CTF ASEAN Countries WHO FAO/WHO CIFOCOss EFSA FoodEx2
26 They feel the need for FAO/WHO GIFT!
27 They feel the need for FAO/WHO GIFT! One of the 10 priorities: Make more data on diets widely available. It is currently difficult to compare diets across cultures, geographies and time. This has hampered a global consensus on what constitutes a healthy diet. A pilot project the FAO/WHO Global Individual Food consumption data Tool (FAO/WHO GIFT; see go.nature.com/faogift) aims to answer some elements, but has too few resources to be truly effective. The project needs a larger team to collate many more national surveys and develop guidelines for future surveys. Haddad, L. et al. Nature, 2016
28 In the area of individual food consumption data we are working towards. Harmonizing Sharing
29 How to reach these two goals? through a snowball effect
30 Our team in the Nutrition and Food System Division at FAO Head Quarters Catherine Leclercq Pauline Allemand Agnieszka Balcerzak Victoria Padula de Quadros Doris Rittenschober
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