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Evaluation of a short Food Frequency Questionnaire to assess cardiovascular disease-related diet and lifestyle factors.

ABSTRACT: Background:The Vascular lifestyle-Intervention and Screening in phArmacies (VISA) study investigates diet and lifestyle factors associated with risk of cardiovascular disease (CVD). As part of the study methodology, a short Food Frequency Questionnaire (FFQ), the VISA-FFQ, was adapted from the Norwegian NORDIET-FFQ. Objective:The aim of this study was to evaluate the VISA-FFQ and its ability to estimate intakes of foods and lifestyle factors in screening for elevated risk of CVD. The evaluation included assessment of relative validity of intake of milk fat and assessment of reproducibility of several foods and lifestyle factors. Design:Relative validity of milk fat estimated from the VISA-FFQ was assessed in 307 participants by comparing estimated dietary intake of the fatty acids pentadecanoic acid (15:0) and heptadecanoic acid (17:0), from milk fat with whole blood biomarkers 15:0 and 17:0. Reproducibility was evaluated in 122 participants by comparing consistency in intakes of different foods and lifestyle factors reported by the VISA-FFQ and administered twice with a 4-week interval. Results:Dietary 15:0 milk fat estimated from the VISA-FFQ correlated positively with whole blood 15:0 (r = 0.32, P < 0.05). Men presented higher correlations than women did. Acceptable and consistent reproducibility (r = 0.44-0.94 and no large difference between test and retest) was observed for most beverages, milk products, spreads on bread and meat (all of which included food items categorised into at least two fat categories) and also for eggs, fruits and vegetables, nuts, pasta and rice, dessert/sweets, smoking and physical activity. Reproducibility did not consistently meet a satisfactory standard (r ? 0.41 or large difference between test and retest) for unsweetened cereals, fatty fish, cakes, oils, white-, bread, crispbread and rice. Conclusion:The validity of the VISA-FFQ was acceptable for intake of milk fat, and there was an overall satisfactory, though variable, reproducibility for intake of several foods and lifestyle factors in the VISA-FFQ.

SUBMITTER: Svendsen K

PROVIDER: S-EPMC5917418 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Evaluation of a short Food Frequency Questionnaire to assess cardiovascular disease-related diet and lifestyle factors.

Svendsen Karianne K Henriksen Hege Berg HB Østengen Beate B Jacobs David R DR Telle-Hansen Vibeke H VH Carlsen Monica H MH Retterstøl Kjetil K

Food & nutrition research 20180419

<h4>Background</h4>The Vascular lifestyle-Intervention and Screening in phArmacies (VISA) study investigates diet and lifestyle factors associated with risk of cardiovascular disease (CVD). As part of the study methodology, a short Food Frequency Questionnaire (FFQ), the VISA-FFQ, was adapted from the Norwegian NORDIET-FFQ.<h4>Objective</h4>The aim of this study was to evaluate the VISA-FFQ and its ability to estimate intakes of foods and lifestyle factors in screening for elevated risk of CVD. ...[more]

PMID: 29720928

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Project description:BackgroundUK adolescents consume fewer fruits and vegetables and more free sugars than any other age group. Established techniques to understand diet quality can be difficult to use with adolescents because of high participant burden. This study aimed to identify key foods that indicate variation in diet quality in UK adolescents for inclusion in a short food frequency questionnaire (FFQ) and to investigate the associations between adolescent diet quality, nutritional biomarkers and socio-demographic factors.MethodsDietary, demographic and biomarker data from waves 1-8 of the National Diet and Nutrition Survey rolling programme were used (n=2587; aged 11-18?years; 50% boys; n=?997 biomarker data). Principal component analysis (PCA) was applied to 139 food groups to identify the key patterns within the data. Two diet quality scores, a 139-group and 20-group, were calculated using the PCA coefficients for each food group and multiplying by their standardised reported frequency of consumption and then summing across foods. The foods with the 10 strongest positive and 10 strongest negative coefficients from the PCA results were used for the 20-group score. Scores were standardised to have a zero mean and standard deviation of one.ResultsThe first PCA component explained 3.0% of variance in the dietary data and described a dietary pattern broadly aligned with UK dietary recommendations. A correlation of 0.87 was observed between the 139-group and 20-group scores. Bland-Altman mean difference was 0.00 and 95% limits of agreement were -?0.98 to 0.98 SDs. Correlations, in the expected direction, were seen between each nutritional biomarker and both scores; results attenuated slightly for the 20-group score compared to the 139-group score. Better diet quality was observed among girls, non-white populations and in those from higher socio-economic backgrounds for both scores.ConclusionsThe diet quality score based on 20 food groups showed reasonable agreement with the 139-group score. Both scores were correlated with nutritional biomarkers. A short 20-item FFQ can provide a meaningful and easy-to-implement tool to assess diet quality in large scale observational and intervention studies with adolescents.

Project description:The aim of the study was to assess the reproducibility of a short-form, multicomponent dietary questionnaire (SF-FFQ4PolishChildren) in Polish children and adolescents. The study involved 437 children (6-10 years old) and 630 adolescents (11-15 years old) from rural and urban areas of Poland. The self-administered questionnaire was related to nutrition knowledge, dietary habits, active/sedentary lifestyle, self-reported weight and height, and socioeconomic data. The questionnaire was completed with a two-week interval-twice by parents for their children (test and retest for children), twice by adolescents themselves (adolescent's test and retest) and once by adolescents' parents (parent's test). The strength of agreement measured using the kappa statistic was interpreted as follows: 0-0.20 slight, 0.21-0.40 fair, 0.41-0.60 moderate, 0.61-0.80 good, and 0.81-1.00 excellent. Regarding the frequency of consumption of food items and meals, kappa statistics were 0.46-0.81 (the lowest: fruit/mixed fruit and vegetable juices; the highest: Energy drinks) in test-retest for children, 0.30-0.54 (fruit/mixed fruit and vegetable juices; breakfast, respectively) in adolescent's test-retest, 0.27-0.56 (the lowest: Sweets, fruit, dairy products; the highest: Breakfast) in adolescent's test and parent's test. Lower kappa statistics were found for more frequently consumed foods (juices, fruit, vegetables), higher kappa statistics were found for rarely consumed foods (energy drinks, fast food). Across study groups, kappa statistics for diet quality scores were 0.31-0.55 (pro-healthy diet index, pHDI) and 0.26-0.45 (non-healthy diet index, nHDI), for active/sedentary lifestyle items they were 0.31-0.72, for components of the Family Affluence Scale (FAS) they were 0.55-0.93, for BMI categories (based on self-reported weight and height) they were 0.64-0.67, for the nutrition knowledge (NK) of adolescents the kappa was 0.36, for the nutrition knowledge of children's parents it was 0.62. The Spearman's correlations for diet quality scores were 0.52-0.76 (pHDI) and 0.53-0.83 (nHDI), for screen time score they were 0.45-0.78, for physical activity score they were 0.51-0.77, for the FAS score they were 0.90-0.93, and for the NK score they were 0.68-0.80. The questionnaire can be recommended to evaluate dietary and lifestyle behaviors among children and adolescents.

Project description:BackgroundThe food frequency questionnaire (FFQ) is the most efficient and cost-effective method to investigate the relationship between usual diet and disease in epidemiologic studies. Although FFQs have been validated in many adult populations worldwide, the number of valid FFQ in preschool children is very scarce. The aim of this study was to evaluate the reproducibility and validity of a semi-quantitative FFQ designed for children aged 4 to 5 years.Materials and methodsIn this study, we have included 169 children aged 4-5 years from the INMA project in Valencia, a population-based prospective cohort study of mothers and children in Spain. The 105-items FFQ was administered twice to the parents or care-givers of children over a 9-month period. Reproducibility was explored by comparing intake of nutrients by the FFQs, while validity was examined by comparing the nutrient values from the FFQs with the average nutrient values of three 24 hour dietary recall (24hDR) taken in the period, and also, with the concentration in blood specimens for several vitamins (carotenoids, folate, vitamin B12, vitamin C and ?-tocopherol). Pearson correlation coefficients and de-attenuated correlation coefficients were calculated and we also evaluated misclassification by quintile distribution.ResultsAll correlation coefficients for reproducibility for nutrients and major food groups were statistically significant; the average correlation coefficients for daily intake were 0.43 for food groups and 0.41 for nutrients. The average correlation coefficients for validity for daily intakes against 24hDR was r = 0.30, and the average for de-attenuated correlation coefficients was r = 0.44. When evaluating validity against the blood concentration of vitamins, statistically significant correlations were observed for vitamin C (0.35), lycopene (0.31), ?-Cryptoxantin (0.40), and vitamin E (0.29); the average of correlation coefficients was r = 0.21.ConclusionDespite some low to moderate correlations for reproducibility and validity, overall this study suggests that the FFQ may be a good method for assessing a wide range of food groups and nutrients intake in children aged 4-5 years.

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Evaluation of a short Food Frequency Questionnaire to assess cardiovascular disease-related diet and lifestyle factors.

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Evaluation of a short Food Frequency Questionnaire to assess cardiovascular disease-related diet and lifestyle factors.

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