scholarly journals Identification of Requirements for Computer-Supported Matching of Food Consumption Data with Food Composition Data

Nutrients ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 433 ◽  
Author(s):  
Barbara Koroušić Seljak ◽  
Peter Korošec ◽  
Tome Eftimov ◽  
Marga Ocke ◽  
Jan van der Laan ◽  
...  
2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R Ferreira de Sousa ◽  
V Padula de Quadros ◽  
A Balcerzak ◽  
T Bevere

Abstract Introduction FoodEx2 is a food classification and description system developed and maintained by the European Food Safety Authority (EFSA). It is currently used at global level with the support of the Food and Agriculture Organization (FAO) of the United Nations and the World Health Organization (WHO) to harmonize datasets in the FAO/WHO Global Individual Food consumption data Tool - FAO/WHO GIFT. This is an open access online platform hosted by FAO and supported by WHO, for collation and dissemination of individual quantitative food consumption data, especially from low- and middle-income countries. Objective To demonstrate FoodEx2's usefulness in global harmonization of food description in food consumption datasets and its potential in facilitating food matching for various types of food data. Methodology Information was gathered from data owners of food consumption datasets and others who were trained to use FoodEx2, and on the number of datasets that have initiated or completed their data harmonization process, as a result of the FAO/WHO/EFSA collaboration. Main Findings Over 50 data owners of food consumption data and/or food composition tables (FCT) have been trained in data re-categorization with FoodEx2. As a result, 6 FCT and 25 food consumption datasets from 18 countries were or are being coded with FoodEx2, and out of those, 30 datasets are or will soon be disseminated through FAO/WHO GIFT in the form of infographics and microdata. Additionally, at least 3 databases of greenhouse gas emission (GHGE) estimates of foods have been mapped with FoodEx2. Conclusions Increased harmonization with FoodEx2 would enhance the consistency and reliability of nutrient intake assessments. Harmonization with FoodEx2 is being used to assess the environmental impact of diets and help identifying sustainable food consumption patterns.


2012 ◽  
Vol 82 (3) ◽  
pp. 209-215 ◽  
Author(s):  
Simone Bell ◽  
Heikki Pakkala ◽  
Michael P. Finglas

Food composition data (FCD) comprises the description and identification of foods, as well as their nutrient content, other constituents, and food properties. FCD are required for a range of purposes including food labeling, supporting health claims, nutritional and clinical management, consumer information, and research. There have been differences within and beyond Europe in the way FCD are expressed with respect to food description, definition of nutrients and other food properties, and the methods used to generate data. One of the major goals of the EuroFIR NoE project (2005 - 10) was to provide tools to overcome existing differences among member states and parties with respect to documentation and interchange of FCD. The establishment of the CEN’s (European Committee for Standardisation) TC 387 project committee on Food Composition Data, led by the Swedish Standards Institute, and the preparation of the draft Food Data Standard, has addressed these deficiencies by enabling unambiguous identification and description of FCD and their quality, for dissemination and data interchange. Another major achievement of the EuroFIR NoE project was the development and dissemination of a single, authoritative source of FCD in Europe enabling the interchange and update of data between countries, and also giving access to users of FCD.


2012 ◽  
Vol 153 (43) ◽  
pp. 1692-1700
Author(s):  
Viktória Szűcs ◽  
Erzsébet Szabó ◽  
Diána Bánáti

Results of the food consumption surveys are utilized in many areas, such as for example risk assessment, cognition of consumer trends, health education and planning of prevention projects. Standardization of national consumption data for international comparison is an important task. The intention work began in the 1970s. Because of the widespread utilization of food consumption data, many international projects have been done with the aim of their harmonization. The present study shows data collection methods for groups of the food consumption data, their utilization, furthermore, the stations of the international harmonization works in details. The authors underline that for the application of the food consumption data on the international level, it is crucial to harmonize the surveys’ parameters (e.g. time of data collection, method, number of participants, number of the analysed days and the age groups). For this purpose the efforts of the EU menu project, started in 2012, are promising. Orv. Hetil., 2012, 153, 1692–1700.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R Ferreira de Sousa ◽  
A Balcerzak ◽  
T Bevere ◽  
V Padula de Quadros

Abstract Introduction 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 harmonized individual quantitative food consumption (IQFC) data, especially in low- and middle-income countries (LMICs). Methods FAO/WHO GIFT disseminates IQFC data as ready-to-use food-based indicators in the form of infographics, and as microdata. The infographics intend to facilitate the use of these data by policy makers, providing an overview of key data according to population segments and food groups. The microdata is publicly available for download, and is intended for users that would like to do further analysis of the data. Results FAO/WHO GIFT is a growing repository. By June 2020, 14 datasets were available for dissemination and download, and an additional 44 datasets will be made available by 2022. FAO/WHO GIFT also provides an inventory of existing IQFC data worldwide, which currently contains detailed information on 268 surveys conducted in 105 countries. Conclusions FAO/WHO GIFT collates, harmonizes and disseminates IQFC data collected in different countries. This harmonization is aimed at enhancing the consistency and reliability of nutrient intake and dietary exposure assessments globally. FAO/WHO GIFT is developed in synergy with other global initiatives aimed at increasing the quality, availability and use of IQFC data in LMICs to enable evidence-based policy-making for better nutrition and food safety.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R Ferreira de Sousa ◽  
V Padula de Quadros ◽  
A Balcerzak ◽  
T Bevere

Abstract 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. FAO/WHO GIFT is aimed at increasing the quality, availability and use of individual quantitative food consumption (IQFC) data in low- and middle-income countries (LMIC) to enable evidence-based decision-making and policy development for better nutrition and food safety. The platform is developed in synergy with other global initiatives working with food consumption data (e.g. Intake, Global Dietary Database, FAO/WHO FOSCOLLAB). The main objective of the session is to give the opportunity to participants to apply the knowledge gained over the previous sessions. Participants will be divided in small groups to do hands-on exercises using the features of the platform. Participants will learn how to identify existing IQFC surveys worldwide using the FAO/WHO GIFT inventory map. Participants will also explore the potential of the Indicators section of the platform according to the needs of different fields of work (food consumption, food safety and nutrition). Expert users will learn how to download dietary microdata and how to take advantage of other data sources using the same food classification and description system - FoodEx2. The workshop will close with a brainstorm session on how the FAO/WHO GIFT platform can be improved to support participants work.


Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2289 ◽  
Author(s):  
María Belén Ruíz-Roso ◽  
Patricia de Carvalho Padilha ◽  
Diana C. Matilla-Escalante ◽  
Paola Brun ◽  
Natalia Ulloa ◽  
...  

Aim: to describe physical activity and ultra-processed foods consumption, their changes and sociodemographic predictors among adolescents from countries in Europe (Italy and Spain) and Latin America (Brazil, Chile, and Colombia) during the SARS-CoV-2-pandemic period. Methods: Cross-sectional study via web survey. International Physical Activity Questionnaire (IPAQ) and weekly ultra-processed food consumption data were used. To compare the frequencies of physical activity status with sociodemographic variables, a multinomial logistic and a multiple logistic regression for habitual ultra-processed foods was performed. In final models, p < 0.05 was considered significant. Results: Sample of 726 adolescents, mostly females (59.6%) aged 16–19 years old (54.3%). Adolescents from Latin America presented odds ratio (OR) 2.98 (CI 95% 1.80–4.94) of being inactive and those whose mothers had higher level of education were less active during lockdown [OR 0.40 (CI 95% 0.20–0.84)]. The habitual ultra-processed consumption was also high during this period in all countries, and more prevalent in Latin America. Conclusion: A higher prevalence of inactivity was observed in this population, but reductions of physical activity and habitual ultra-processed consumption during the pandemic were more pronounced in Latin America. Our findings reinforce the importance of promoting a healthy lifestyle, i.e., exercise and diet, during periods of social isolation.


2004 ◽  
Vol 23 (6) ◽  
pp. 669-682 ◽  
Author(s):  
Donald R. Davis ◽  
Melvin D. Epp ◽  
Hugh D. Riordan

2016 ◽  
Vol 193 ◽  
pp. 196-202 ◽  
Author(s):  
Léon Jansen ◽  
Annet J.C. Roodenburg

2010 ◽  
Vol 23 (7) ◽  
pp. 749-752 ◽  
Author(s):  
C. Hodgkins ◽  
M.M. Raats ◽  
M.B. Egan ◽  
A. Fragodt ◽  
J. Buttriss ◽  
...  

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