scholarly journals Comparing Interviewer-Administered and Web-Based Food Frequency Questionnaires to Predict Energy Requirements in Adults

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1292 ◽  
Author(s):  
Didier Brassard ◽  
Simone Lemieux ◽  
Amélie Charest ◽  
Annie Lapointe ◽  
Patrick Couture ◽  
...  

Traditional food frequency questionnaires (FFQs) are influenced by systematic error, but web-based FFQ (WEB-FFQs) may mitigate this source of error. The objective of this study was to compare the accuracy of interview-based and web-based FFQs to assess energy requirements (mERs). The mER was measured in a series of controlled feeding trials in which participants daily received all foods and caloric drinks to maintain stable body weight over 4 to 6 weeks. FFQs assessing dietary intakes and hence mean energy intake were either interviewer-administered by a registered dietitian (IA-FFQ, n = 127; control method) or self-administered using a web-based platform (WEB-FFQ, n = 200; test method), on a single occasion. Comparison between self-reported energy intake and mER revealed significant under-reporting with the IA-FFQ (−9.5%; 95% CI, −12.7 to −6.1) and with the WEB-FFQ (−11.0%; 95% CI, −15.4 to −6.4), but to a similar extent between FFQs (p = 0.62). However, a greater proportion of individuals were considered as accurate reporters of energy intake using the IA-FFQ compared with the WEB-FFQ (67.7% vs. 48.0%, respectively), while the prevalence of over-reporting was lower with the IA-FFQ than with the WEB-FFQ (6.3% vs. 17.5%, respectively). These results suggest less accurate prediction of true energy intake by a self-administered WEB-FFQ than with an IA-FFQ.

2021 ◽  
pp. 1-35
Author(s):  
Jun S Lai ◽  
Jason Loh ◽  
Jia Ying Toh ◽  
Ray Sugianto ◽  
Marjorelee T Colega ◽  
...  

Abstract Advances in technology enabled the development of a web-based, pictorial food frequency questionnaire (FFQ) to collect parent-report dietary intakes of 7-year-old children in the GUSTO study. This study aimed to compare intakes estimated from a paper-FFQ and a web-FFQ, and examine the relative validity of both FFQs against 3-day diet records (3DDR). Ninety-two mothers reported food intakes of their 7-year-old child on a paper-FFQ, a web-FFQ and a 3DDR. A usability questionnaire collected participants’ feedback on the web-FFQ. Correlations and agreement in energy, nutrients and food groups intakes between the dietary assessments were evaluated using Pearson’s correlation, Lin’s concordance, Bland-Altman plots, Cohen’s kappa and tertile classification. The paper- and web-FFQ had good correlations (≥0.50) and acceptable-good agreement (Lin’s concordance ≥0.30; Cohen’s kappa ≥0.41; ≥50% correct and ≤10% mis-classification into same or extreme tertiles). Compared to 3DDR, both FFQs showed poor agreement (<0.30) in assessing absolute intakes except micronutrients (web-FFQ had acceptable-good agreement); but showed acceptable-good ability to classify children into tertiles (κ≥0.21; ≥40% and ≤15% correct or misclassification). Bland-Altman plots suggest good agreement between web-FFQ and 3DDR in assessing micronutrients and several food groups. The web-FFQ was well-received (e.g. >89% found it user-friendly), and majority (81%) preferred the web-FFQ over the paper-FFQ. The newly developed web-FFQ produced intake estimates comparable to the paper-FFQ, has acceptable-good agreement with 3DDR in assessing absolute micronutrients intakes, and acceptable-good ability to classify children according to categories of intakes. The positive acceptance of the web-FFQ makes it a feasible tool for future dietary data collection.


2016 ◽  
Vol 5 ◽  
Author(s):  
Sanna Nybacka ◽  
Heléne Bertéus Forslund ◽  
Elisabet Wirfält ◽  
Ingrid Larsson ◽  
Ulrika Ericson ◽  
...  

AbstractTwo web-based dietary assessment tools have been developed for use in large-scale studies: the Riksmaten method (4-d food record) and MiniMeal-Q (food-frequency method). The aim of the present study was to examine the ability of these methods to capture energy intake against objectively measured total energy expenditure (TEE) with the doubly labelled water technique (TEEDLW), and to compare reported energy and macronutrient intake. This study was conducted within the pilot study of the Swedish CArdioPulmonary bioImage Study (SCAPIS), which included 1111 randomly selected men and women aged 50–64 years from the Gothenburg general population. Of these, 200 were enrolled in the SCAPIS diet substudy. TEEDLW was measured in a subsample (n 40). Compared with TEEDLW, both methods underestimated energy intake: −2·5 (sd  2·9) MJ with the Riksmaten method; −2·3 (sd 3·6) MJ with MiniMeal-Q. Mean reporting accuracy was 80 and 82 %, respectively. The correlation between reported energy intake and TEEDLW was r 0·4 for the Riksmaten method (P < 0·05) and r 0·28 (non-significant) for MiniMeal-Q. Women reported similar average intake of energy and macronutrients in both methods whereas men reported higher intakes with the Riksmaten method. Energy-adjusted correlations ranged from 0·14 (polyunsaturated fat) to 0·77 (alcohol). Bland–Altman plots showed acceptable agreement for energy and energy-adjusted protein and carbohydrate intake, whereas the agreement for fat intake was poorer. According to energy intake data, both methods displayed similar precision on energy intake reporting. However, MiniMeal-Q was less successful in ranking individuals than the Riksmaten method. The development of methods to achieve limited under-reporting is a major challenge for future research.


10.2196/11997 ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. e11997 ◽  
Author(s):  
Itziar Zazpe ◽  
Susana Santiago ◽  
Carmen De la Fuente-Arrillaga ◽  
Jorge M Nuñez-Córdoba ◽  
Maira Bes-Rastrollo ◽  
...  

Background Web-based questionnaires allow collecting data quickly, with minimal costs from large sample groups and through Web-based self-administered forms. Until recently, there has been a lack of evidence from large-scale epidemiological studies and nutrition surveys that have evaluated the comparison between traditional and new technologies to measure dietary intake. Objective This study aimed to compare results from the general baseline questionnaire (Q_0) and the 10-year follow-up questionnaire (Q_10) in the Seguimiento Universidad de Navarra (SUN) prospective cohort, obtained from different subjects, some of whom used a paper-based version, and others used a Web-based version. Both baseline and 10-year assessments included a validated 136-item semiquantitative food-frequency questionnaire (FFQ), used to collect dietary intake. Methods The SUN project is a prospective cohort study (with continuous open recruitment and many participants who were recently recruited). All participants were university graduates. Participants who completed the validated FFQ at baseline (FFQ_0, n=22,564) were selected. The variables analyzed were classified into 6 groups of questions: (1) FFQ (136 items), (2) healthy eating attitudes (10 items), (3) alcohol consumption (3 items), (4) physical activity during leisure time (17 items), (5) other activities (24 items), and (6) personality traits (3 items). Multiple linear and logistic regression models were used to assess the adjusted differences between the mean number of missing values and the risk of having apparently incorrect values for FFQ items or mismatches and inconsistencies in dietary variables. Results Only 1.5% (339/22564) and 60.71% (6765/11144) participants reported their information using the Web-based version for Q_0 and Q_10, respectively, and 51.40 % (11598/22564) and 100.00% (11144/11144) of participants who completed the Q_0 and Q_10, respectively, had the option of choosing the Web-based version. Sociodemographic, lifestyle, health characteristics, food consumption, and energy and nutrient intakes were similar among participants, according to the type of questionnaire used in Q_10. Less than 0.5% of values were missing for items related to healthy eating attitudes, alcohol consumption, and personality traits in the Web-based questionnaires. The proportion of missing data in FFQ, leisure time physical activity, and other activities was higher in paper-based questionnaires than Web-based questionnaires. In Web-based questionnaires, a high degree of internal consistency was found when comparing answers that should not be contradictory, such as the frequency of fruit as dessert versus total fruit consumption and the frequency of fried food consumptions versus oil consumption. Conclusions Incorporating a Web-based version for a baseline and 10-year questionnaire has not implicated a loss of data quality in this cohort of highly educated adults. Younger participants showed greater preference for Web-based questionnaires. Web-based questionnaires were filled out to a greater extent and with less missing items than paper-based questionnaires. Further research is needed to optimize data collection and response rate in Web-based questionnaires.


2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Anna Rita Filippi ◽  
Emanuele Amodio ◽  
Giuseppe Napoli ◽  
João Breda ◽  
Antonino Bianco ◽  
...  

Author(s):  
Martina Barchitta ◽  
Andrea Maugeri ◽  
Ottavia Agrifoglio ◽  
Giuliana Favara ◽  
Claudia La Mastra ◽  
...  

Innovative tools for assessing food and nutrient intakes in adolescence are essential to uncover the long-term effects of diet on chronic diseases. Here, we developed and compared a web-based self-administered food frequency questionnaire (web-FFQ) with a traditional interviewer printed FFQ (print-FFQ) among 174 Italian adolescents (aged 15–18 years). To assess the reliability of the web-FFQ compared with the print-FFQ, we used Spearman’s rank correlation coefficients, Wilcoxon rank test, quartile misclassification analysis, Cohen’s weighted kappa and the Bland–Altman method. Correlation coefficients ranged from 0.14 (i.e., pizza) to 0.67 (i.e., raw vegetables) for foods, and from 0.45 (i.e., monounsaturated fatty acids, MUFA) to 0.62 (i.e., zinc) for nutrients. Results from the Wilcoxon rank test showed that food and nutrient intakes were comparable between two FFQs, except for nuts, shellfish, fruit juices and MUFA. Adolescents classified into the same or adjacent quartiles ranged from 68.2% (i.e., tea) to 89.1% (i.e., raw vegetables and dipping sauces) for foods, and from 77.2% (i.e., vitamin C) to 87.2% (i.e., folate and calcium) for nutrients. Except for pizza, the weighted kappa indicated moderate to substantial agreement for other foods and nutrients. Finally, we demonstrated that the web-FFQ significantly overestimated shellfish and fruit juice intakes, while it underestimated nuts, canned fish, olive oil, total energy intake, fatty acids and calcium. The limits of agreement analysis indicated moderate to wide individual differences for all groups. In conclusion, our self-administered web-FFQ represents an easy, suitable and cost-effective tool for assessing food and nutrient intakes in adolescents. However, the wide individual differences in level of agreement suggest that additional refinements and calibrations are necessary to investigate the effects of absolute nutrient intakes at the individual level.


2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Dario Gregori ◽  
Giulia Lorenzoni ◽  
Corrado Lanera ◽  
Honoria Ocagli

AbstractElderly patients are at risk of malnutrition and need an appropriate assessment of energy requirements. In the clinical setting, predictive equations are widely used to estimate the Resting Energy Expenditure (REE). Although easy to use, these equations are not always validated in the elderly and, even if validated, they often provide different outputs of energy requirements for the same subject. The aim of the present work is to develop a web-based application helping clinicians in finding out the most appropriate equation for estimating the REE for each subject. The web-based application is based on a systematic review of the equations for the estimation of REE in the elderly. The systematic review was carried out on PubMed and Scopus following the PRISMA guidelines. Studies in subjects older than 65 years of age that tested the performance of a predictive equation for the estimation of REE vs. a gold standard (indirect calorimetry or doubly labeled water) were included in the review. Studies performed in critically ill elderly patients were excluded. The initial search identified 2035 studies. The final review included 50 studies. Included studies were mainly observational, conducted in healthy elderly subjects enrolled in the outpatient setting, and using indirect calorimetry as the gold standard. The 50 studies included in the review corresponded to 189 different equations. Several parameters were included in the equations, and they can be divided as following: anthropometric characteristics, body composition parameters, environmental measures, laboratory tests, the presence of comorbidities, and physical activity frequency. The equations retrieved were tested on a sample of 88 subjects aged > 65 years enrolled in an Italian nursing home. Based on the systematic review and the pilot testing of the equations, it has been developed a web application (http://r-ubesp.dctv.unipd.it:3838/equationer) that allows for the estimation of REE using the equation most appropriate according to the subject's characteristic and parameters available. The assessment of the energy requirements in the elderly is crucial for the management of nutritional problems in this population group since nutritional problems are related to worse health outcomes. The present study showed a wide use of different type of equations for the estimation of REE in the elderly highlighting the need of choosing the most appropriate predictive equation according to the subject characteristics and health status. The web application will help clinicians in doing that.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Edwina Wambogo ◽  
Fran Thompson ◽  
Amy Subar ◽  
Jill Reedy ◽  
Marissa Shams-White ◽  
...  

Abstract Objectives To compare self-reported dietary intakes using food frequency questionnaires (FFQs) adjusted for 7-d food checklists against recovery biomarkers (doubly labeled water (DLW) for energy; 24-h urine for protein, sodium, potassium). Methods Over 12-months, participants aged 50–74 years, from the Interactive Diet and Activity Tracking (IDATA) Study, were asked to complete 2 FFQs, 2 7-d, 32-item food checklists, 2 24-h urine collections, and 1 DLW administration. Participants who completed at least 1 FFQ, 1 food checklist with ≥5 days, and had DLW and urine results were included (N = 742). FFQ energy, protein, sodium, and potassium intakes and densities were calculated both directly (unadjusted) and adjusted by the ratio of reported intakes, calculated as the average percentage of days with reported intake from the 7-d food checklist divided by the summed FFQ frequency for each food group. The discrepancy between FFQ values and biomarkers were determined by comparing mean unadjusted and checklist-adjusted values to biomarkers. Attenuation factors and validity coefficients were determined for all unadjusted and adjusted FFQ values. Results Overall, adjusting FFQ values by estimates from the 7-d food checklist resulted in higher values for protein, sodium, potassium, and energy. For both men and women, FFQ energy, protein, sodium and potassium values were lower than biomarker estimates, but all differences were reduced when adjusted for checklist values. The greatest reduction in differences between self-reported values (unadjusted vs. adjusted) and biomarkers were seen for sodium and energy intake in females (−36% to −21% and −29% to −14%, respectively), and total energy intake in males (−29% vs. −14%). , The checklist-adjusted potassium values were higher than the biomarker values, but for men, they were closer to the biomarker. Finally, the adjustment process improved the level of attenuation and validity coefficients for each nutrient and energy. Conclusions Though past studies have shown 24-h recalls and food records have higher correlations with recovery biomarkers than FFQs, our results suggest that, simple adjustment of FFQs using food checklists reduces reporting error and may improve the power to detect relationships between dietary exposures from FFQs and health outcomes. Funding Sources N/A.


2015 ◽  
Vol 59 (1) ◽  
pp. 26216 ◽  
Author(s):  
Garden Tabacchi ◽  
Anna Rita Filippi ◽  
João Breda ◽  
Laura Censi ◽  
Emanuele Amodio ◽  
...  

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Kathryn Bradbury ◽  
Yeunhyang Choi ◽  
Christie Fyfe ◽  
Katrina Poppe ◽  
Anna Rolleston ◽  
...  

Abstract Background In New Zealand (NZ) approximately 10,000 people experience an acute coronary syndrome (ACS) annually. Little is known about the diets of people who present with first ACS. Methods The Multi-Ethnic NZ study of Acute Coronary Syndromes (MENZACS) is a multi-centre, longitudinal cohort study of patients with first-time ACS. At baseline, patients complete a validated short food frequency questionnaire (FFQ) asking about dietary intakes in the 12 months preceding their event. Participants are followed up for rehospitalisation and mortality. Results Here we present the dietary intakes of the 2,015 participants enrolled into MENZACS. We excluded 90 participants who did not start the FFQ and 42 participants who had extreme energy intakes. For men (n = 1489), the median energy intake was 8637 kJ, and the median percentage of energy from carbohydrate, protein, fat, and saturated fat were 40.3%, 17.9%, 34.7% and 17.8%, respectively. For women (n = 394), the median energy intake was 7499 kJ, and the median percentage of energy from carbohydrate, protein, fat and saturated fat were 40.3%, 18.4%, 35.6%, and 18.0%, respectively. Conclusions Both men and women reported high saturated fat intakes in the year preceding their first ACS. Future work will examine dietary predictors of rehospitalisation and mortality, as well as analyse baseline blood samples for Lipoprotein(a) and lipidomics. Key messages Patients in hospital with first time ACS are able to complete a short food frequency questionnaire, with little missing data.


2018 ◽  
Author(s):  
Itziar Zazpe ◽  
Susana Santiago ◽  
Carmen De la Fuente-Arrillaga ◽  
Jorge Nuñez-Córdoba ◽  
Maira Bes-Rastrollo ◽  
...  

BACKGROUND Web-based questionnaires allow collecting data quickly, with minimal costs from large sample groups and through Web-based self-administered forms. Until recently, there has been a lack of evidence from large-scale epidemiological studies and nutrition surveys that have evaluated the comparison between traditional and new technologies to measure dietary intake. OBJECTIVE This study aimed to compare results from the general baseline questionnaire (Q_0) and the 10-year follow-up questionnaire (Q_10) in the Seguimiento Universidad de Navarra (SUN) prospective cohort, obtained from different subjects, some of whom used a paper-based version, and others used a Web-based version. Both baseline and 10-year assessments included a validated 136-item semiquantitative food-frequency questionnaire (FFQ), used to collect dietary intake. METHODS The SUN project is a prospective cohort study (with continuous open recruitment and many participants who were recently recruited). All participants were university graduates. Participants who completed the validated FFQ at baseline (FFQ_0, n=22,564) were selected. The variables analyzed were classified into 6 groups of questions: (1) FFQ (136 items), (2) healthy eating attitudes (10 items), (3) alcohol consumption (3 items), (4) physical activity during leisure time (17 items), (5) other activities (24 items), and (6) personality traits (3 items). Multiple linear and logistic regression models were used to assess the adjusted differences between the mean number of missing values and the risk of having apparently incorrect values for FFQ items or mismatches and inconsistencies in dietary variables. RESULTS Only 1.5% (339/22564) and 60.71% (6765/11144) participants reported their information using the Web-based version for Q_0 and Q_10, respectively, and 51.40 % (11598/22564) and 100.00% (11144/11144) of participants who completed the Q_0 and Q_10, respectively, had the option of choosing the Web-based version. Sociodemographic, lifestyle, health characteristics, food consumption, and energy and nutrient intakes were similar among participants, according to the type of questionnaire used in Q_10. Less than 0.5% of values were missing for items related to healthy eating attitudes, alcohol consumption, and personality traits in the Web-based questionnaires. The proportion of missing data in FFQ, leisure time physical activity, and other activities was higher in paper-based questionnaires than Web-based questionnaires. In Web-based questionnaires, a high degree of internal consistency was found when comparing answers that should not be contradictory, such as the frequency of fruit as dessert versus total fruit consumption and the frequency of fried food consumptions versus oil consumption. CONCLUSIONS Incorporating a Web-based version for a baseline and 10-year questionnaire has not implicated a loss of data quality in this cohort of highly educated adults. Younger participants showed greater preference for Web-based questionnaires. Web-based questionnaires were filled out to a greater extent and with less missing items than paper-based questionnaires. Further research is needed to optimize data collection and response rate in Web-based questionnaires.


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