Literature DB >> 30816080

FAO/WHO GIFT (Global Individual Food consumption data Tool): a global repository for harmonised individual quantitative food consumption studies.

C Leclercq1, P Allemand1, A Balcerzak1, F Branca2, R F Sousa1, A Lartey1, M Lipp3, V P Quadros1, P Verger4.   

Abstract

Knowing who eats what, understanding the various eating habits of different population groups, according to the geographical area, is critical to develop evidence-based policies for nutrition and food safety. The FAO/WHO Global Individual Food consumption data Tool (FAO/WHO GIFT) is a novel open-access online platform, hosted by FAO and supported by WHO, providing access to harmonised individual quantitative food consumption (IQFC) data, especially in low- and middle-income countries (LMIC). FAO/WHO GIFT is a growing repository, which will serve as the global FAO/WHO hub to disseminate IQFC microdata. Currently five datasets from LMIC are available for dissemination, and an additional fifty datasets will be made available by 2022. To facilitate the use of these data by policy makers, ready-to-use food-based indicators are provided for an overview of key data according to population segments and food groups. FAO/WHO GIFT also provides an inventory of existing IQFC data worldwide, which currently contains detailed information on 188 surveys conducted in seventy-two countries. In order for end-users to be able to aggregate the available data, all datasets are harmonised with the European Food Safety Authority's food classification and description system FoodEx2 (modified for global use). This harmonisation is aimed at enhancing the consistency and reliability of nutrient intake and dietary exposure assessments. FAO/WHO GIFT is developed in synergy with other global initiatives aimed at increasing the quality, availability and use of IQFC data in LMIC to enable evidence-based decision-making and policy development for better nutrition and food safety.

Entities:  

Keywords:  Dietary exposure; Dietary intake; Food consumption; Nutrient intake; Open access

Mesh:

Year:  2019        PMID: 30816080     DOI: 10.1017/S0029665119000491

Source DB:  PubMed          Journal:  Proc Nutr Soc        ISSN: 0029-6651            Impact factor:   6.297


  15 in total

Review 1.  Principles for Evidence-Based and Sustainable Food System Innovations for Healthier Diets.

Authors:  Chiara Ferraboschi; Jimena Monroy-Gomez; Breda Gavin-Smith; Kalpana Beesabathuni; Puja Tshering; Srujith Lingala; Neha Bainsla; Daniel Amanquah; Priyanka Kumari; Kesso Gabrielle van Zutphen; Klaus Kraemer
Journal:  Nutrients       Date:  2022-05-10       Impact factor: 6.706

2.  Within-Person Variation in Nutrient Intakes across Populations and Settings: Implications for the Use of External Estimates in Modeling Usual Nutrient Intake Distributions.

Authors:  Caitlin D French; Joanne E Arsenault; Charles D Arnold; Demewoz Haile; Hanqi Luo; Kevin W Dodd; Stephen A Vosti; Carolyn M Slupsky; Reina Engle-Stone
Journal:  Adv Nutr       Date:  2021-03-31       Impact factor: 8.701

3.  Weighing the risks of high intakes of selected micronutrients compared with the risks of deficiencies.

Authors:  Reina Engle-Stone; Stephen A Vosti; Hanqi Luo; Justin Kagin; Ann Tarini; Katherine P Adams; Caitlin French; Kenneth H Brown
Journal:  Ann N Y Acad Sci       Date:  2019-06-06       Impact factor: 5.691

4.  Global Dietary Database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide.

Authors:  Victoria Miller; Gitanjali M Singh; Jennifer Onopa; Julia Reedy; Peilin Shi; Jianyi Zhang; Adeem Tahira; Masha L Shulkin Morris; Daniel P Marsden; Sarah Kranz; Sally Stoyell; Patrick Webb; Renata Micha; Dariush Mozaffarian
Journal:  BMJ Glob Health       Date:  2021-02

5.  Diet, Nutrition, Obesity, and Their Implications for COVID-19 Mortality: Development of a Marginalized Two-Part Model for Semicontinuous Data.

Authors:  Naser Kamyari; Ali Reza Soltanian; Hossein Mahjub; Abbas Moghimbeigi
Journal:  JMIR Public Health Surveill       Date:  2021-01-26

6.  Impact of water fortification with calcium on calcium intake in different countries: a simulation study.

Authors:  Gabriela Cormick; Luz Gibbons; Jose M Belizán
Journal:  Public Health Nutr       Date:  2020-08-03       Impact factor: 4.022

7.  An Evaluation of Probability of Adequate Nutrient Intake (PANDiet) Scores as a Diet Quality Metric in Irish National Food Consumption Data.

Authors:  Laura B Kirwan; Janette Walton; Albert Flynn; Anne P Nugent; Breige A McNulty
Journal:  Nutrients       Date:  2022-02-26       Impact factor: 5.717

8.  Development of the FAO/INFOODS/IZINCG Global Food Composition Database for Phytate.

Authors:  Sergio Dahdouh; Fernanda Grande; Sarah Nájera Espinosa; Anna Vincent; Rosalind Gibson; Karl Bailey; Janet King; Doris Rittenschober; U Ruth Charrondière
Journal:  J Food Compost Anal       Date:  2019-05       Impact factor: 4.556

9.  Development of Dietary Supplement Label Database in Italy: Focus of FoodEx2 Coding.

Authors:  Alessandra Durazzo; Emanuela Camilli; Laura D'Addezio; Raffaela Piccinelli; Angelika Mantur-Vierendeel; Luisa Marletta; Paul Finglas; Aida Turrini; Stefania Sette
Journal:  Nutrients       Date:  2019-12-27       Impact factor: 5.717

10.  Worldwide dietary patterns and their association with socioeconomic data: an ecological exploratory study.

Authors:  Gabriel Gonçalves da Costa; Giovanna da Conceição Nepomuceno; Alessandra da Silva Pereira; Bruno Francisco Teixeira Simões
Journal:  Global Health       Date:  2022-03-12       Impact factor: 4.185

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