scholarly journals The accuracy of the Goldberg method for classifying misreporters of energy intake on a food frequency questionnaire and 24-h recalls: comparison with doubly labeled water

2011 ◽  
Vol 66 (5) ◽  
pp. 569-576 ◽  
Author(s):  
J A Tooze ◽  
S M Krebs-Smith ◽  
R P Troiano ◽  
A F Subar
Keyword(s):  
Energy Intake ◽  
Food Frequency Questionnaire ◽  
Doubly Labeled Water ◽  
Food Frequency

scholarly journals EVIDENT Smartphone App, a New Method for the Dietary Record: Comparison With a Food Frequency Questionnaire (Preprint)

2018 ◽  
Author(s):  
Jose I Recio-Rodriguez ◽  
Carmela Rodriguez-Martin ◽  
Jesus Gonzalez-Sanchez ◽  
Emiliano Rodriguez-Sanchez ◽  
Carme Martin-Borras ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Food Intake ◽  
Alcohol Consumption ◽  
Energy Intake ◽  
Food Frequency Questionnaire ◽  
Daily Intake ◽  
Smartphone App ◽  
Food Frequency ◽  
Dietary Record ◽  
Macro And Micronutrients

BACKGROUND More alternatives are needed for recording people’s normal diet in different populations, especially adults or the elderly, as part of the investigation into the effects of nutrition on health. OBJECTIVE The aim of this study was to compare the estimated values of energy intake, macro- and micronutrient, and alcohol consumption gathered using the EVIDENT II smartphone app against the data estimated with a food frequency questionnaire (FFQ) in an adult population aged 18 to 70 years. METHODS We included 362 individuals (mean age 52 years, SD 12; 214/362, 59.1% women) who were part of the EVIDENT II study. The participants registered their food intake using the EVIDENT app during a period of 3 months and through an FFQ. Both methods estimate the average nutritional composition, including energy intake, macro- and micronutrients, and alcohol. Through the app, the values of the first week of food recording, the first month, and the entire 3-month period were estimated. The FFQ gathers data regarding the food intake of the year before the moment of interview. RESULTS The intraclass correlation for the estimation of energy intake with the FFQ and the app shows significant results, with the highest values returned when analyzing the app’s data for the full 3-month period (.304, 95% CI 0.144-0.434; P<.001). For this period, the correlation coefficient for energy intake is .233 (P<.001). The highest value corresponds to alcohol consumption and the lowest to the intake of polyunsaturated fatty acids (r=.676 and r=.155; P<.001), respectively. The estimation of daily intake of energy, macronutrients, and alcohol presents higher values in the FFQ compared with the EVIDENT app data. Considering the values recorded during the 3-month period, the FFQ for energy intake estimation (Kcal) was higher than that of the app (a difference of 408.7, 95% CI 322.7-494.8; P<.001). The same is true for the other macronutrients, with the exception g/day of saturated fatty acids (.4, 95% CI −1.2 to 2.0; P=.62). CONCLUSIONS The EVIDENT app is significantly correlated to FFQ in the estimation of energy intake, macro- and micronutrients, and alcohol consumption. This correlation increases with longer app recording periods. The EVIDENT app can be a good alternative for recording food intake in the context of longitudinal or intervention studies. CLINICALTRIAL ClinicalTrials.gov NCT02016014; http://clinicaltrials.gov/ct2/show/NCT02016014 (Archived by WebCite at http://www.webcitation.org/760i8EL8Q)

scholarly journals Relative Validity and Reproducibility of a Food Frequency Questionnaire to Assess Energy Intake from Minimally Processed and Ultra-Processed Foods in Young Children

Nutrients ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1290 ◽  
Author(s):  
Louise J. Fangupo ◽  
Jillian J. Haszard ◽  
Claudia Leong ◽  
Anne-Louise M. Heath ◽  
Elizabeth A. Fleming ◽  
...  
Keyword(s):  
Young Children ◽  
Energy Intake ◽  
Food Frequency Questionnaire ◽  
Good Reproducibility ◽  
Processed Food ◽  
Daily Energy Intake ◽  
Minimally Processed ◽  
Food Frequency ◽  
Relative Validity ◽  
Daily Energy

NOVA is a food classification system that categorises food items into one of four categories according to the extent and purpose of their processing: minimally processed food (MPF), processed culinary ingredient (PCI), processed food (PF), or ultra-processed food (UPF). The aim of this study was to determine the relative validity and reproducibility of a food frequency questionnaire (EAT5 FFQ) for measuring daily energy intake (EI kJ) and percentage of daily energy intake (EI%) from each NOVA group in New Zealand children. One hundred parents of five year old children completed the 123 item EAT5 FFQ on two occasions four weeks apart. A 3 day weighed diet record (WDR) was completed on non-consecutive randomly assigned days between FFQ appointments. The FFQ overestimated EI (both as kJ and %) from MPF and UPF, and underestimated intakes from PCI and PF, compared with the WDR. Bland–Altman plots indicated reasonably consistent agreement between FFQ and WDR for MPF and UPF but not PCI or PF. Correlation coefficients between the FFQ and WDR were acceptable for EI (%) for MPF (r = 0.31) and UPF (r = 0.30). The FFQ differentiated between the highest and lowest quartiles for EI (%) from MPF and UPF foods (p-values for the trends were 0.006 and 0.009 respectively), and for EI (kJ) from UPF foods (p-value for trend 0.003). Bland–Altman plots indicated consistent agreement between repeat administrations of FFQ for MPF and UPF only, while intra-class correlations suggested good reproducibility for EI (kJ and %) for all four NOVA categories (range 0.51–0.76). The EAT5 FFQ has acceptable relative validity for ranking EI (%) from MPF and UPF. It has good reproducibility for measuring EI from all four NOVA categories, in young children.

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 Antioxidant vitamin intakes assessed using a food-frequency questionnaire: correlation with biochemical status in smokers and non-smokers

1991 ◽  
Vol 65 (3) ◽  
pp. 337-346 ◽  
Author(s):  
C. Bolton-Smith ◽  
C. E. Casey ◽  
K. F. Gey ◽  
W. C. S. Smith ◽  
H. Tunstall-Pedoe
Keyword(s):  
Vitamin A ◽  
Energy Intake ◽  
Food Frequency Questionnaire ◽  
Large Scale ◽  
Serum Vitamin ◽  
Antioxidant Vitamins ◽  
Antioxidant Vitamin ◽  
Total Vitamin ◽  
Food Frequency ◽  
Β Carotene

The increasing interest in the possible role of antioxidant vitamins in many disease states means that methods of assessing vitamin intakes which are suitable for large-scale investigations are now required. The suitability of the food-frequency questionnaire, which was developed by the Medical Research Council – Cardiff Group, for determining dietary intake of antioxidant vitamins in epidemiological studies was investigated in 196 Scottish men. The validity of the dietary data was assessed by comparison with serum vitamin concentrations, and separate analyses were performed for current smokers and non-smokers. The results showed that total energy intake and the percentage of energy derived from sugar were higher in smokers, and that both dietary and serum values of vitamin C, β-carotene and vitamin E were lower in smokers than non-smokers. After adjustment for serum lipids, energy intake and body mass index, correlation coefficients between dietary and serum vitamins C and E were similar for smokers (r 0.555 and 0.25 respectively) and non-smokers (r 0.58 and 0.32 respectively). Correlation between dietary and serum carotenes was reduced from 0.28 in non-smokers to 0.09 in smokers and correlations for retinol and total vitamin A were weakly significant only for non-smokers. The food-frequency questionnaire assigned > 70% of subjects correctly into the upper or lower plus adjacent tertiles of serum vitamin values, with the exception of β-carotene and total vitamin A for smokers. Thus, the food-frequency questionnaire appeared to be an adequate tool for assigning individuals into tertiles of serum antioxidant vitamins with the main exception of β-carotene for smokers. Marked differences do occur between the vitamins and between the smoking groups which may reflect reduced accuracy of reporting on the food-frequency questionnaire or differential absorption and metabolism of the vitamins.

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