scholarly journals Development of a food frequency questionnaire in a probabilistic sample of adults from Niterói, Rio de Janeiro, Brazil

2010 ◽  
Vol 26 (11) ◽  
pp. 2196-2204 ◽  
Author(s):  
Luiz Antonio dos Anjos ◽  
Vivian Wahrlich ◽  
Mauricio Teixeira Leite de Vasconcellos ◽  
Danielle Ribeiro de Souza ◽  
Maria Teresa Anselmo Olinto ◽  
...  

With the purpose of generating a list of foods for a food-frequency questionnaire, data from 24h dietary recalls on a typical day from a probabilistic sample of 1,724 adults of Niterói, Rio de Janeiro, Brazil, were analyzed. The frequency of food intake, the total intake of energy and macronutrients and the relative contribution of each food item to total energy and macronutrient intake were calculated. The most frequently reported food items (> 50% of adults) were rice, coffee, beans, refined canesugar, and bread. Whole milk was consumed more frequently then skimmed milk or semi-skimmed milk. Beef was consumed by more adults than chicken, pork or fish. Approximately 90% of energy and macronutrients intake was explained by 65 food items. The list of food items generated in the present analysis is similar to those found in other samples of adults from urban areas in Brazil. It may be possible to generate a core list of common foods with addition of regional foods to be used nationally in urban areas of the country.

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.


Author(s):  
Samaneh Sadat Ayoubi ◽  
Mohsen Nematy ◽  
Maryam Amini ◽  
Habibollah Esmaily ◽  
Sara Movahed ◽  
...  

BACKGROUND: The food frequency questionnaire (FFQ) is the method of choice for dietary assessment in epidemiological studies. FFQs focusing on mixed-dishes and simple food items are useful where mixed-dishes are an essential part of food consumption. OBJECTIVE: Regarding the fact that the nature of the Iranian diet is mixed-dish, the present study aimed to design and assess the validity and reproducibility of a dish-based semi-quantitative FFQ in the Iranian adult population. METHODS: A list of 302 food items was collected from four geographical areas around Iran. The validation study was conducted on 97 healthy adults. The FFQ was introduced at the beginning of the study and 10 months after; two three-day food records were collected during the study. Also, biomarkers including 24-hour urinary potassium and nitrogen, serum retinol, and alpha-tocopherol were measured. RESULTS: A 142-food-item FFQ was concluded. The correlation coefficient between the second FFQ and the second three-day food record ranged from 0.225 to 0.323 for macronutrients and 0.128 to 0.476 for micronutrients. The percentile agreements (same or adjacent quartile) between the two methods were more than 60%for all nutrients. The intraclass correlation coefficient between FFQs (except for vitamin E) ranged from 0.363 to 0.578. The correlation coefficient between the second FFQ and the second biomarker assessment was 0.241 for protein.


2003 ◽  
Vol 6 (2) ◽  
pp. 147-157 ◽  
Author(s):  
Keiko Ogawa ◽  
Yoshitaka Tsubono ◽  
Yoshikazu Nishino ◽  
Yoko Watanabe ◽  
Takayoshi Ohkubo ◽  
...  

AbstractObjectives:To examine the validity and reproducibility of a self-administered food-frequency questionnaire (FFQ) used for two cohort studies in Japan.Design:Cross-sectional study.Setting:Two rural towns in the Miyagi Prefecture, in north-eastern Japan.Subjects:Fifty-five men and 58 women.Results:A 40-item FFQ was administered twice, 1 year apart. In the mean time, four 3-day diet records (DRs) were collected in four seasons within the year. We calculated daily consumption of total energy and 15 nutrients, 40 food items and nine food groups from the FFQs and the DRs. We computed Spearman correlation coefficients between the FFQs and the DRs. With adjustment for age, total energy and deattenuation for measurement error with the DRs, the correlation coefficients for nutrient intakes ranged from 0.25 to 0.58 in men and from 0.30 to 0.69 in women, with median of 0.43 and 0.43, respectively. Median (range) of the correlation coefficients was 0.35 (−0.30 to 0.72) in men and 0.34 (−0.06 to 0.75) in women for food items and 0.60 (−0.10 to 0.76) and 0.51 (0.28–0.70) for food groups, respectively. Median (range) of the correlation coefficients for the two FFQs administered 1 year apart was 0.49 (0.31–0.71) in men and 0.50 (0.40–0.64) in women for nutrients, 0.43 (0.14–0.76) and 0.45 (0.06–0.74) respectively for food items, and 0.50 (0.30–0.70) and 0.57 (0.39–0.66) respectively for food groups. Relatively higher agreement percentages for intakes of nutrients and food groups with high validity were obtained together with lower complete disagreement percentages.Conclusions:The FFQ has a high reproducibility and a reasonably good validity, and is useful in assessing the usual intakes of nutrients, foods and food groups among a rural Japanese population.


2003 ◽  
Vol 6 (6) ◽  
pp. 581-588 ◽  
Author(s):  
Carine A Vereecken ◽  
Lea Maes

AbstractObjective:In the Health Behaviour in School-Aged Children (HBSC) survey, the frequency of consumption of a limited number of food items – focusing on fibre, calcium and less healthy items – is queried using a 15-item food-frequency questionnaire (FFQ). The present study was conducted to assess the reliability and relative validity of the HBSC FFQ among school pupils in Belgium.Design and subjects:To assess the reliability of the FFQ, 207 pupils aged 11–12 years and 560 pupils aged 13–14 years completed the questionnaire twice, with a test–retest interval of 6 to 15 days. To assess the relative validity of the FFQ, in a first study data were collected as part of the Flemish HBSC 2000 survey: 7072 pupils (11–18 years) completed the FFQ and a 24-hour food behaviour checklist (FBC). In a second study, 101 pupils (11–12 years) completed the FFQ and a 7-day food diary (FD).Results:Reliability – weighted kappa values between test and retest ranged from 0.43 to 0.70, percentage agreement from 37 to 87%, and Spearman correlations from 0.52 to 0.82. Relative validity – comparison of the FBC with the percentage of respondents who should have consumed the food items on a random day, computed from the FFQ, showed good agreement between the FFQ and the FBC for most items. Only for cereals, diet soft drinks and other milk products were considerably higher food frequencies than expected found from the FBC. Comparison of the FFQ with the FD showed overestimation for all but three food items (cheese, soft drinks and chips). Spearman correlations ranged between 0.10 for crisps and 0.65 for semi-skimmed milk.Conclusion:The HBSC FFQ is a reliable questionnaire that can be used for ranking subjects for most food items, although one must consider the overestimation when the FFQ is used for estimating prevalences.


2019 ◽  
Vol 38 ◽  
pp. S139
Author(s):  
E. Inan-Eroglu ◽  
B. Madali ◽  
C. Ozsin-Ozler ◽  
S. Karahan ◽  
M. Uzamis-Tekcicek ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 2183 ◽  
Author(s):  
Ewa Niedzwiedzka ◽  
Lidia Wadolowska ◽  
Joanna Kowalkowska

The aim of this study was to evaluate the test–retest reproducibility of a non-quantitative food frequency questionnaire (acronym: 62-item FFQ-6) and the possibility of identifying dietary patterns (DPs) in 13–21-year-old females. The study involved 97 females within three age groups: 13–15, 16–18, and 19–21 years, including 31, 38, and 28 subjects, respectively. The questionnaire was completed twice with a two-week interval (test and retest). For the total sample, using a principal component analysis (PCA), two similar PCA-driven DPs (DP1 and DP2) were identified separately from test data and retest data, considering two sets of input variables. 60-item-DP1 and 60-item-DP2 were identified after excluding two items—vegetables and fruits in general—due to including single items of various kinds of vegetables and fruits. After an aggregation of some items of the questionnaire, 25-item-DP1 and 25-item-DP2 were identified. The kappa statistic (test vs. retest) in the total sample averaged at 0.52 (0.32–0.72 for food items), while within age groups, it averaged at 0.41, 0.53, and 0.65, respectively. The percentage of subjects classified into the same food frequency category (test vs. retest) in the total sample averaged at 68% (51%–89% for food items), while within age groups, it averaged at 60%, 68%, and 77%, respectively. The Spearman correlations between dietary pattern scores (test vs. retest) in the total sample were: 0.84 (within age groups 0.83, 0.81, and 0.78, respectively) for 60-item-DP1, 0.68 (within age groups 0.24, 0.79, and 0.76, respectively) for 60-item-DP2, 0.76 (within age groups 0.56, 0.82, and 0.89, respectively) for 25-item-DP1, and 0.48 (within age groups 0.40, 0.57, and 0.53, respectively) for 25-item-DP2 (p < 0.05 for all). In conclusion, the test–retest reproducibility of the 62-item FFQ-6 was good or very good for most food items, with a tendency to be higher in older age groups of females under study. Due to the acceptable-to-good reproducibility of dietary pattern identification, the use of a 62-item FFQ-6 to describe the overall diet of young Polish females can be recommended.


2004 ◽  
Vol 7 (6) ◽  
pp. 745-749 ◽  
Author(s):  
Iris Shai ◽  
Danit R Shahar ◽  
Hillel Vardi ◽  
Drora Fraser

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.


2014 ◽  
Vol 17 (2) ◽  
pp. 479-494 ◽  
Author(s):  
Patrícia de Fragas Hinnig ◽  
Aline Brandão Mariath ◽  
Silvia Rafaela Mascarenhas Freaza ◽  
Ana Maria Dianezi Gambardella ◽  
Denise Pimentel Bergamaschi

Objective: To present and discuss the process of the development of a Quantitative Food Frequency Questionnaire (QFFQ) aimed to 7-10 year-old children. Methods: A methodological study was performed based on the application of a Food Diary (FD) fulfilled by 85 children. Based on registered foods, the diet composition in relation to energy and macronutrients was calculated. Foods were grouped into items and the percentage of the contribution of each item to the diet in terms of calories and macronutrients were calculated. Results: The QFFQ was constructed with 92 food items, 76 were selected by Block's method and 16 were identified from other instruments from literature developed for children and adolescents. The food items were grouped in 17 food groups with 3 serving sizes and 7 categories to measure food frequency. Conclusion: Among the food items, the rice was the one that showed the biggest percentage of contribution for energy and carbohydrates. For other nutrients, the meat and the milk were the ones that contributed most to the consumption of proteins and lipids, respectively.


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