scholarly journals Considering Gender Differences in Portion Sizes to Improve the Accuracy of Nutrient Intakes from A Food Frequency Questionnaire

Nutrients ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1449 ◽  
Author(s):  
Minji Kang ◽  
Song-Yi Park ◽  
Carol J. Boushey ◽  
Lynne R. Wilkens ◽  
Loïc Le Marchand ◽  
...  

The aim of this study was to examine whether using gender specific-portion size (GS-PS) improves the accuracy of nutrient intake assessment by a quantitative food frequency questionnaire (QFFQ). For GS-PS quantification, a gram amount was assigned to each PS category for each food item for men and women separately using data from three 24 h dietary recalls (24HDRs) in a calibration study of the Multiethnic Cohort (men = 1141, women = 1150). Nutrient intakes were calculated from the QFFQ using the original-PS and the GS-PS, and were compared with 24HDRs. When intakes of energy and 15 nutrients were compared, absolute intakes calculated using the GS-PS were closer to intake levels of 24HDRs in both men and women. Using GS-PS did not affect intakes expressed as nutrient density or correlations between 24HDRs and the QFFQ. The current findings indicate that considering gender in PS determination can increase the accuracy of intake assessment by QFFQ for absolute nutrient intakes, but not for nutrient densities.

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Minji Kang ◽  
Song-Yi Park ◽  
Carol Boushey ◽  
Lynne Wilkens ◽  
Loïc Le Marchand ◽  
...  

Abstract Objectives To determine gender specific-portion sizes (GS-PS) for quantitative food frequency questionnaire (QFFQ) items in the Multiethnic Cohort Study (MEC), and to examine whether using GS-PS improves the accuracy of nutrient intake assessment from the QFFQ. Methods For GS-PS quantification, a gram amount was assigned to each portion size (PS) option (mostly three) for 163 QFFQ items for men and women separately. Data for PS were from a calibration study in the MEC, in which three day 24-hour dietary recalls (24HDRs) were collected. Energy and 13 nutrient intakes were estimated from the QFFQ using original-PS and GS-PS and compared with the 24HDRs (the reference method) in 1141 men and 1150 women. Results GS-PS for the QFFQ items were determined based on PS distributions for 24HDRs. When energy and absolute intakes of 13 nutrients were compared, the values estimated using GS-PS were closer to the 24HDRs than were the values estimated using original-PS both in men and women. However, for nutrient densities, the values calculated using GS-PS and original-PS were similar. The Correlation (r) between 24HDRs and the QFFQ using original-PS (average r = 0.40 and 0.39 for absolute value; 0.63 and 0.62 for nutrient density, in men and women, respectively) and between 24HDRs and QFFQ using GS-PS (average r = 0.37 for absolute value; 0.62 for nutrient density, in both men and women) were similar. The estimated percentage of participants at risk of nutrient inadequacy (those whose intake was below the estimated average requirement) using the QFFQ with GS-PS, tended to be between the percentages using 24HDRs and the QFFQ with the original-PS. Conclusions Modification of PS considering gender differences resulted in energy and nutrient intakes closer to the reference method in absolute amount but not for nutrient density. Our findings indicate that considering gender in PS determination has the potential to improve the accuracy of nutrient intake assessment by QFFQ especially as absolute amounts. Funding Sources Supported by the National Institutes of Health (U01CA164973, P30CA071789), and Support Program for Women in Science, Engineering and Technology through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2016H1C3A1903202).


2020 ◽  
Vol 120 (2) ◽  
pp. 258-269 ◽  
Author(s):  
Minji Kang ◽  
Song-Yi Park ◽  
Carol J. Boushey ◽  
Lynne R. Wilkens ◽  
Loïc Le Marchand ◽  
...  

2001 ◽  
Vol 4 (3) ◽  
pp. 847-858 ◽  
Author(s):  
Sheila A Bingham ◽  
Ailsa A Welch ◽  
Alison McTaggart ◽  
Angela A Mulligan ◽  
Shirley A Runswick ◽  
...  

AbstractObjective:To describe methods and dietary habits of a large population cohort.Design:Prospective assessment of diet using diet diaries and food-frequency questionnaires, and biomarkers of diet in 24-h urine collections and blood samples.Setting:Free living individuals aged 45 to 75 years living in Norfolk, UK.Subjects:Food and nutrient intake from a food-frequency questionnaire on 23 003 men and women, and from a 7-day diet diary from 2117 men and women. Nitrogen, sodium and potassium excretion was obtained from single 24-h urine samples from 300 individuals in the EPIC cohort. Plasma vitamin C was measured for 20 846 men and women.Results:The food-frequency questionnaire (FFQ) and the food diary were able to determine differences in foods and nutrients between the sexes and were reliable as judged by repeated administrations of each method. Plasma vitamin C was significantly higher in women than men. There were significant (P<0.001) differences in mean intake of all nutrients measured by the two different methods in women but less so in men. The questionnaire overestimated dairy products and vegetables in both men and women when compared with intakes derived from the diary, but underestimated cereal and meat intake in men. There were some consistent trends with age in food and nutrient intakes assessed by both methods, particularly in men. Correlation coefficients between dietary intake assessed from the diary and excretion of nitrogen and potassium in a single 24-h urine sample ranged from 0.36 to 0.47. Those comparing urine excretion and intake assessed from the FFQ were 0.09 to 0.26. The correlations between plasma vitamin C and dietary intake from the first FFQ, 24-h recall or diary were 0.28, 0.35 and 0.40.Conclusions:EPIC Norfolk is one of the largest epidemiological studies of nutrition in the UK and the largest on which plasma vitamin C has been obtained. Methods for obtaining food and nutrient intake are described in detail. The results shown here for food and nutrient intakes can be compared with results from other population studies utilising different methods of assessing dietary intake. The utility of different methods used in different settings within the main EPIC cohort is described. The FFQ is to be used particularly in pooled analyses of risk from diet in relation to cancer incidence within the larger European EPIC study, where measurement error is more likely to be overcome by large dietary heterogeneity on an international basis. Findings in the UK, where dietary variation between individuals is smaller and hence the need to use a more accurate individual method greater, will be derived from the 7-day diary information on a nested case–control basis. 24-h recalls can be used in the event that diary information should not be forthcoming from some eventual cases. Combinations of results utilising all dietary methods and biomarkers may also be possible.


Author(s):  
Kazuko Ishikawa-Takata ◽  
Kaori Okamoto ◽  
Motoko Taguchi

Abstract Background Food frequency questionnaires are considered an effective method for assessing habitual dietary intake, but they must be developed or validated with the target population. Portion size, supplement use and food choice are thought to be especially important methodological considerations for assessing athletes’ dietary intake. This study aimed to develop and validate a food frequency questionnaire for Japanese athletes using data from this population. Methods We used dietary records from 440 Japanese athletes involved in our previous projects. Food items were analyzed using cumulative percentage contributions and multiple regression analysis, to give a selection of 62 basic food items and four supplemental items. The validity of the questionnaire was evaluated among another 77 Japanese athletes by comparing nutrient intakes assessed using the questionnaire with dietary records. Reproducibility was evaluated by comparing a second questionnaire completed 2–3 weeks later by 36 of the athletes in the validation study. Validity was assessed using crude Spearman’s correlation coefficients (CCs), energy-adjusted CCs, intraclass CCs (ICCs), and Kappa index values. Reproducibility was assessed by CCs, energy-adjusted CCs, and ICCs. Results In the validation analysis, the median crude CC for all of the nutrients was 0.407, ranging from 0.222 for dietary fiber to 0.550 for carbohydrate. The median energy-adjusted CC was 0.478, and the median ICC was 0.369. When we divided the athletes into quartiles, 65% (vitamin B1) to 86% (iron) of athletes were classified into the same or adjacent categories using the questionnaire and dietary records, with a median Kappa statistic of 0.32. In the reproducibility analysis, the median crude CC between the two completed questionnaires was 0.654, ranging from 0.582 (carbohydrate) to 0.743 (vitamin B2). The median energy-adjusted CC was 0.643, and the median ICC was 0.647. Conclusions The new 62-item food frequency questionnaire is both reliable and valid and may be useful for assessing food intake in Japanese athletes.


2004 ◽  
Vol 3 (1) ◽  
Author(s):  
Julie Goulet ◽  
Geneviève Nadeau ◽  
Annie Lapointe ◽  
Benoît Lamarche ◽  
Simone Lemieux

1992 ◽  
Vol 21 (4) ◽  
pp. 770-777 ◽  
Author(s):  
ANNE TJøNNELAND ◽  
JÓHANNA HARALDSDÓTTIR ◽  
KIM OVERVAD ◽  
CONNIE STRIPP ◽  
MARIANNE EWERTZ ◽  
...  

2016 ◽  
Vol 9 ◽  
pp. NMI.S38374 ◽  
Author(s):  
Ayumi Yanagisawa ◽  
Noriko Sudo ◽  
Yukiko Amitani ◽  
Yuko Caballero ◽  
Makiko Sekiyama ◽  
...  

This study aimed to develop and evaluate the validity of a food frequency questionnaire (FFQ) for rural Rwandans. Since our FFQ was developed to assess malnutrition, it measured energy, protein, vitamin A, and iron intakes only. We collected 260 weighed food records (WFRs) from a total of 162 Rwandans. Based on the WFR data, we developed a tentative FFQ and examined the food list by percent contribution to energy and nutrient intakes. To assess the validity, nutrient intakes estimated from the FFQ were compared with those calculated from three-day WFRs by correlation coefficient and cross-classification for 17 adults. Cumulative contributions of the 18-item FFQ to the total intakes of energy and nutrients reached nearly 100%. Crude and energy-adjusted correlation coefficients ranged from -0.09 (vitamin A) to 0.58 (protein) and from -0.19 (vitamin A) to 0.68 (iron), respectively. About 50%-60% of the participants were classified into the same tertile. Our FFQ provided acceptable validity for energy and iron intakes and could rank Rwandan adults in eastern rural area correctly according to their energy and iron intakes.


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