scholarly journals Systematic review of metrics used to characterize dietary nutrient supply from household consumption and expenditure surveys

2022 ◽  
pp. 1-32
Author(s):  
Kevin Tang ◽  
Katherine P Adams ◽  
Elaine L Ferguson ◽  
Monica Woldt ◽  
Jennifer Yourkavitch ◽  
...  

Abstract Objective: To review existing publications using Household Consumption & Expenditure Survey (HCES) data to estimate household dietary nutrient supply to (1) describe scope of available literature, (2) identify the metrics reported and parameters used to construct these metrics, (3) summarize comparisons between estimates derived from HCES and individual dietary assessment data, and (4) explore the demographic and socioeconomic sub-groups used to characterize risks of nutrient inadequacy. Design: This study is a systematic review of publications identified from online databases published between 2000 to 2019 that used HCES food consumption data to estimate household dietary nutrient supply. Further publications were identified by “snowballing” the references of included database-identified publications. Setting: Publications using data from low- and lower middle income countries Results: In total, 58 publications were included. Three metrics were reported that characterized household dietary nutrient supply: apparent nutrient intake per adult-male equivalent per day (n=35), apparent nutrient intake per capita per day (n=24), and nutrient density (n=5). Nutrient intakes were generally overestimated using HCES food consumption data, with several studies finding sizeable discrepancies compared to intake estimates based on individual dietary assessment methods. Sub-group analyses predominantly focused on measuring variation in household dietary nutrient supply according to socioeconomic position and geography. Conclusion: HCES data are increasingly being used to assess diets across populations. More research is needed to inform the development of a framework to guide the use of and qualified interpretation of dietary assessments based on these data.

2014 ◽  
Vol 48 (5) ◽  
pp. 845-850 ◽  
Author(s):  
Sinara L Rossato ◽  
Sandra C Fuchs

Epidemiological studies have shown the effect of diet on the incidence of chronic diseases; however, proper planning, designing, and statistical modeling are necessary to obtain precise and accurate food consumption data. Evaluation methods used for short-term assessment of food consumption of a population, such as tracking of food intake over 24h or food diaries, can be affected by random errors or biases inherent to the method. Statistical modeling is used to handle random errors, whereas proper designing and sampling are essential for controlling biases. The present study aimed to analyze potential biases and random errors and determine how they affect the results. We also aimed to identify ways to prevent them and/or to use statistical approaches in epidemiological studies involving dietary assessments.


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.


Nutrients ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 433 ◽  
Author(s):  
Barbara Koroušić Seljak ◽  
Peter Korošec ◽  
Tome Eftimov ◽  
Marga Ocke ◽  
Jan van der Laan ◽  
...  

2020 ◽  
Vol 12 (13) ◽  
pp. 5367 ◽  
Author(s):  
Greta Castellini ◽  
Mariarosaria Savarese ◽  
Cinzia Castiglioni ◽  
Guendalina Graffigna

Nowadays, the problems that afflict our planet (climate change, loss of biodiversity, etc.) are leading to the implementation of a more sustainable type of consumption. Increasing the consumption of organic products is a way to face and try to solve these problems. In order to reach this aim, it is important to understand how consumers’ subjective relevance of these products impacts on their consumption. The recent literature, in fact, highlighted how food consumption is salient for the individual to express their identity and life orientations, even more in the case of organic food consumption. Nonetheless, little is known about how subjective relevance of food affects organic food consumption. The present research aims to measure the role of subjective relevance in organic food consumption. Data were collected with a self-report questionnaire that was filled out by a sample of 964 Italians, representative of the population. We used structural equation modelling (SEM) and the bootstrap technique to test the hypothesis. The results show that subjective food relevance is a mediator between the motivations of organic food consumption and the frequency of consumption of it. This research points out the necessity to study consumers in a wider way, using communication that emphasizes the role that these products have in satisfying the psychological needs of consumers.


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