scholarly journals A new tool for converting food frequency questionnaire data into nutrient and food group values: FETA research methods and availability

BMJ Open ◽  
2014 ◽  
Vol 4 (3) ◽  
pp. e004503 ◽  
Author(s):  
Angela A Mulligan ◽  
Robert N Luben ◽  
Amit Bhaniani ◽  
David J Parry-Smith ◽  
Laura O'Connor ◽  
...  
Keyword(s):  
Research Methods ◽  
Food Frequency Questionnaire ◽  
Food Group ◽  
Questionnaire Data ◽  
Food Frequency

scholarly journals Specifications of Nutrition with Healthy and Pathological Conditions of Psoriasis

2020 ◽  
Author(s):  
A. Nurgozhina ◽  
B. Yermekbayeva ◽  
A. Gulyayev ◽  
S. Kozhakhmetov ◽  
Sh. Sergazy ◽  
...  
Keyword(s):  
Autoimmune Disease ◽  
Low Income ◽  
Food Frequency Questionnaire ◽  
Fruits And Vegetables ◽  
Food Group ◽  
Questionnaire Data ◽  
Food Frequency ◽  
The Past ◽  
Pathological Conditions

Psoriasis is a long-lasting autoimmune disease characterized by patches of abnormal skin. 183 participants in the experiment were selected for the study, half of which are with psoriasis disease. All participants in the study passed the EPIC-Norfolk Food Frequency Questionnaire, which was completed once and included a diet over the past week. The aim of the study was to identify the intakes of different nutrients in two groups by age. After questionnaire FETA tool was used to analyze all answers (http://www.srl.cam.ac.uk/epic/epicffq/).  The output was the results for all nutrients and macro and microelements that are in the food. Significant differences in patients were in eight nutrients, namely: betacarotene, carotene, fructose, potassium, potatoes, fruits, nuts and seeds, and vegetables. All differences are in favor of healthy patients. Patients with psoriasis had a diet with low income of fruits and vegetables which brought to the deficiency in some nutrients and vitamins. The used tool for converting food frequency questionnaire data into nutrient and food group values can be used widely for different study populations.

scholarly journals Comparison of the Block Kid's Food Frequency Questionnaire with a 24 h dietary recall methodology among Hmong-American children, 9–18 years of age

2012 ◽  
Vol 109 (2) ◽  
pp. 346-352 ◽  
Author(s):  
Urvashi Mulasi-Pokhriyal ◽  
Chery Smith
Keyword(s):  
Food Frequency Questionnaire ◽  
Dietary Assessment ◽  
Food Group ◽  
Food Frequency ◽  
Dietary Recall ◽  
Current Block ◽  
The Usa ◽  
Hmong American ◽  
American Children ◽  
Vegetables And Fruits

Hmong are one of the immigrant Asian subgroups with increasing rates of obesity, type 2 diabetes and CVD. Despite their population growth in the USA and declining health status, no research has investigated the appropriateness of dietary assessment measures, including FFQ and 24 h dietary recalls among Hmong. The present study compared the nutrient information obtained through a 24 h dietary recall method with that collected using the Block Kid's Food Frequency Questionnaire (Block FFQ) among Hmong-American children (n 335) of 9–18 years of age. For this purpose, two 24 h dietary recalls were collected during non-consecutive days and averaged for comparison. The Block FFQ was administered on the day of the second 24 h recall and the two methodologies were also compared using t tests. Among all children, Block FFQ nutrient estimates for vitamin A, vitamin C and food group servings for vegetables and fruits were significantly higher than those assessed through the 24 h dietary recalls (P< 0·001). Nutrient estimates for protein and food group servings for grains and meat and beans were significantly higher among all participants when assessed through the 24 h dietary recalls than through the Block FFQ (P< 0·05). The results suggest that the Block FFQ does not appear to be a good measure of protein, grain, and meat and bean intake among Hmong children of 9–18 years of age, and the 24 h dietary recall offers a better account of the Hmong diet and is inclusive of ethnic food options otherwise missed in the Block FFQ. We recommend the modification of the current Block FFQ to appropriately reflect cultural food/beverage items of the population in interest.

Dietary Habits in the German EPIC Cohorts: Food Group Intake Estimated with the Food Frequency Questionnaire

1999 ◽  
Vol 43 (4) ◽  
pp. 246-257 ◽  
Author(s):  
Birgit R. Brandstetter ◽  
Andrea Korfmann ◽  
Anja Kroke ◽  
Nikolaus Becker ◽  
Matthias B. Schulze ◽  
...  
Keyword(s):  
Food Frequency Questionnaire ◽  
Dietary Habits ◽  
Food Group ◽  
Food Frequency

scholarly journals Selection of food items for inclusion in a newly developed food-frequency questionnaire

2004 ◽  
Vol 7 (6) ◽  
pp. 745-749 ◽  
Author(s):  
Iris Shai ◽  
Danit R Shahar ◽  
Hillel Vardi ◽  
Drora Fraser
Keyword(s):  
Energy Intake ◽  
Food Frequency Questionnaire ◽  
Food Group ◽  
Stepwise Multiple Regression ◽  
Food Groups ◽  
Food Frequency ◽  
Food Items ◽  
24 Hour Recall ◽  
Β Carotene ◽  
Selection Of

AbstractObjectives:To highlight the differences between the food list required in a food-frequency questionnaire (FFQ) to rank people by their intake and the food items that contribute to absolute intake, and to discuss possible applications.Methods:We conducted a nutritional survey among 1173 adults using an adapted 24-hour recall questionnaire.Statistical analysis:To develop an FFQ, we analysed the 24-hour recall survey data by performing a stepwise multiple regression after grouping conceptually similar food items into 175 food groups.Results:In total, 126 food groups were included in the developed FFQ in order to explain at least 80% of the variance in the consumption of each of 27 nutrients. The nutrients that were explained by a few food groups were vitamin A (one food group), alcohol (two), β-carotene (two), vitamin E (three) and cholesterol (five). Nutrients that were explained by a large number of food groups were energy (37 food groups), potassium (31), magnesium (31), dietary fibre (30), phosphorus (31) and sodium (29). Using energy intake as an example, soft drinks were the best between-person energy classifiers, while providing only 2.4% of the total energy intake. Wine, seeds and nuts, which contributed highly to the variance, were minor energy contributors. In contrast, milk, sugar, fried chicken/turkey breast or whole chicken/turkey, which explained little of the variation in the population, were major energy contributors.Conclusions:Developing an FFQ on the basis of common foods may not explain the between-person variation required for ranking individual intake in diet–disease studies. Producing lists of ‘discriminating items’ can be a useful application in developing mini-FFQs for selected nutrients.

scholarly journals Validity and reproducibility of the food-frequency questionnaire used in the Shanghai Men's Health Study

2007 ◽  
Vol 97 (5) ◽  
pp. 993-1000 ◽  
Author(s):  
Raquel Villegas ◽  
Gong Yang ◽  
DaKe Liu ◽  
Yong-Bing Xiang ◽  
Hui Cai ◽  
...  
Keyword(s):  
Food Frequency Questionnaire ◽  
Correlation Coefficients ◽  
Food Group ◽  
Men’S Health ◽  
Health Study ◽  
Men's Health ◽  
Food Groups ◽  
Food Frequency ◽  
Exact Agreement ◽  
Usual Intake

We evaluated the validity and reproducibility of the FFQ used in the Shanghai Men's Health Study (SMHS). The study included 195 randomly selected participants of the SMHS who completed one FFQ at baseline, twelve 24-hour dietary recalls (24-HDR) (once a month for twelve consecutive months) and a second FFQ at the end of the study. The FFQ accounted for 88·78 % of the foods recorded in the 24-HDR surveys. The validity of the FFQ was evaluated by comparing nutrient and food group intake levels from the second FFQ and the multiple 24-HDR. Correlation coefficients ranged from 0·38 to 0·64 for macronutrients, 0·33 to 0·58 for micronutrients and 0·35 to 0·72 for food groups. Misclassification to opposite quartiles for nutrients and food groups was rare, ranging from 1·5 to 7·7 %, while exact agreement rates were between 31·8 and 53·3 %. The reliability of the FFQ was assessed by comparing the intake levels from the two FFQ. Correlation coefficients were 0·39 to 0·53 for macronutrients, 0·38 to 0·52 for micronutrients and 0·39 to 0·64 for food groups. Exact agreement rates for quartile distribution were between 31·8 and 49·2 %, while misclassification to opposite quartiles was between 1·5 and 6·2 %. These data indicate that the SMHS FFQ can reasonably categorise usual intake of nutrients and food groups among men living in urban Shanghai.

Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for Nepalese diet

2017 ◽  
Vol 68 (5) ◽  
pp. 605-612 ◽  
Author(s):  
Archana Shrestha ◽  
Rajendra Prasad Koju ◽  
Shirley A.A. Beresford ◽  
Kwun Chuen Gary Chan ◽  
Frederik A. Connell ◽  
...  
Keyword(s):  
Food Frequency Questionnaire ◽  
Food Group ◽  
Food Frequency ◽  
Relative Validity

scholarly journals Reproducibility and Validity of a Food Frequency Questionnaire for Dietary Assessment in Adolescents in a Self-Reported Way

Nutrients ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2081
Author(s):  
Leyre Notario-Barandiaran ◽  
Carmen Freire ◽  
Manuela García-de-la-Hera ◽  
Laura Mª Compañ-Gabucio ◽  
Laura Torres-Collado ◽  
...  
Keyword(s):  
Food Frequency Questionnaire ◽  
Vegetable Intake ◽  
Pearson Correlation ◽  
Dietary Assessment ◽  
Correlation Coefficients ◽  
Food Group ◽  
Birth Cohort Study ◽  
Food Groups ◽  
Food Frequency ◽  
Male Adolescents

Tools to assess diet in a reliable and efficient way are needed, particularly in children and adolescents. In this study, we assess the reproducibility and validity of a semiquantitative food frequency questionnaire (FFQ) among adolescents in Spain. We analyzed data of 51 male adolescents aged 15–17 years from a prospective birth cohort study. Participants answered the FFQ twice in a self-administered way over a 12-month period. Reproducibility was assessed by comparing nutrient and food intakes from the FFQs, and validity by comparing nutrient intakes from the average of two FFQs and the average of two 24-Hour Dietary Recalls obtained in the period. Pearson correlation coefficients were calculated. The average of reproducibility correlation coefficients for food group intakes was 0.33, with the highest correlation for vegetable intake (r = 0.81); and the average for nutrient intake was 0.32, with the highest coefficients for α- and β-carotene (r = 0.65). Validity correlation coefficients ranged from 0.07 for carbohydrates to 0.53 for dietary fiber. The average of the validity correlation coefficients was r = 0.32. This study suggests that our FFQ may be a useful tool for assessing dietary intake of most nutrient and food groups among Spanish male adolescents in a self-administered way, despite reproducibility and, particularly validity, being low for some nutrients and food groups.

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