scholarly journals Corrigendum: A Dietary Assessment Training Course Path: The Italian IV SCAI Study on Children Food Consumption

2021 ◽  
Vol 9 ◽  
Author(s):  
Aida Turrini ◽  
Giovina Catasta ◽  
Laura Censi ◽  
Francisco Javier Comendador Azcarraga ◽  
Laura D'Addezio ◽  
...  
Author(s):  
Takashi Kitahara ◽  
Kanoko Egashira ◽  
Hisayuki Hamada ◽  
Yukinobu Kodama ◽  
Emi Ryu ◽  
...  

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.


2014 ◽  
Vol 54 (3) ◽  
pp. 343-354 ◽  
Author(s):  
Marianne Eisinger-Watzl ◽  
Andrea Straßburg ◽  
Josa Ramünke ◽  
Carolin Krems ◽  
Thorsten Heuer ◽  
...  

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.


2017 ◽  
Author(s):  
Xiaowei Xu ◽  
Ju Wang ◽  
Li Hou ◽  
Zhen Guo ◽  
Jiao Li

BACKGROUND Dietary management is important for personal health. However, it is challenging to record quantified food information in an efficient, accurate and sustainable manner, particularly for the Chinese food consumptions. OBJECTIVE This study aims to develop a dietary management system to record Chinese food information, which can help assessing individuals’ dietary intake and maintaining healthy eating behaviors. METHODS In Chinese diets, the foods are usually categorized as staple food (e.g., rice, steamed buns), cooked dish (e.g., cooked tomato with eggs), and soup (e.g., egg drop soup). This study proposed to use the plates embedded with RFID chips to carry Chinese foods and collect the food frequency. Moreover, the food composition and nutrients (carbohydrate, fat, fiber and etc.) were obtained according to the Chinese Recipe Database and China Food Composition Database. RESULTS To test the feasibility of the dietary management system, we applied it to collect 489 Chinese foods which were consumed in lunch time across 7 weeks. On basis of one individual’s 20-day food consumption information, we showed that our system supports statistics of the consumed food frequency, overview of the composition of chosen foods, as well as initial indications of nutrient calculation. Given a Chinese dish (e.g., Garlic Puree Cooked Pork Leg), we compared its nutrient values calculated by our method with the results of chemical measurements. CONCLUSIONS This preliminary study demonstrated the feasibility of the RFID-based dietary management for Chinese food consumption. In future, the factors (e.g., cuisine method, weight of eaten part, and auxiliary ingredient) will be investigated to improve dietary assessment accuracy.


Sign in / Sign up

Export Citation Format

Share Document