Dataset Information

Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers.

ABSTRACT: The Oxford WebQ is an online 24-hour dietary questionnaire that is appropriate for repeated administration in large-scale prospective studies, including the UK Biobank study and the Million Women Study. We compared the performance of the Oxford WebQ and a traditional interviewer-administered multiple-pass 24-hour dietary recall against biomarkers for protein, potassium, and total sugar intake and total energy expenditure estimated by accelerometry. We recruited 160 participants in London, United Kingdom, between 2014 and 2016 and measured their biomarker levels at 3 nonconsecutive time points. The measurement error model simultaneously compared all 3 methods. Attenuation factors for protein, potassium, total sugar, and total energy intakes estimated as the mean of 2 applications of the Oxford WebQ were 0.37, 0.42, 0.45, and 0.31, respectively, with performance improving incrementally for the mean of more measures. Correlation between the mean value from 2 Oxford WebQs and estimated true intakes, reflecting attenuation when intake is categorized or ranked, was 0.47, 0.39, 0.40, and 0.38, respectively, also improving with repeated administration. These correlations were similar to those of the more administratively burdensome interviewer-based recall. Using objective biomarkers as the standard, the Oxford WebQ performs well across key nutrients in comparison with more administratively burdensome interviewer-based 24-hour recalls. Attenuation improves when the average value is taken over repeated administrations, reducing measurement error bias in assessment of diet-disease associations.

SUBMITTER: Greenwood DC

PROVIDER: S-EPMC7254925 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers.

Greenwood Darren C DC Hardie Laura J LJ Frost Gary S GS Alwan Nisreen A NA Bradbury Kathryn E KE Carter Michelle M Elliott Paul P Evans Charlotte E L CEL Ford Heather E HE Hancock Neil N Key Timothy J TJ Liu Bette B Morris Michelle A MA Mulla Umme Z UZ Petropoulou Katerina K Potter Gregory D M GDM Riboli Elio E Young Heather H Wark Petra A PA Cade Janet E JE

American journal of epidemiology 20191001 10

The Oxford WebQ is an online 24-hour dietary questionnaire that is appropriate for repeated administration in large-scale prospective studies, including the UK Biobank study and the Million Women Study. We compared the performance of the Oxford WebQ and a traditional interviewer-administered multiple-pass 24-hour dietary recall against biomarkers for protein, potassium, and total sugar intake and total energy expenditure estimated by accelerometry. We recruited 160 participants in London, United ...[more]

PMID: 31318012

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Project description:BackgroundAssessment of food intake is a cornerstone of nutritional research. However, the use of minimally validated dietary assessment methods is common and can generate misleading results. Thus, there is a need for valid, precise and cost-effective dietary assessment tools to be used in large cohort studies.The objective is to validate a newly developed automated self-administered web-based 24-h dietary recall (R24W), within a population of adults taking part in fully controlled feeding studies.MethodsSixty two adults completed the R24W twice while being fed by our research team. Actual intakes were precisely known, thereby allowing the analysis of the proportion of adequately self-reported items. Association between offered and reported portion sizes was assessed with correlation coefficients and agreement with the kappa score while systematics biases were illustrated with Bland-Altman Plot.ResultsParticipants received an average of 16 food items per testing day. They reported 89.3% of the items they received. The more frequently omitted food categories were vegetables included in recipes (40.0%) as well as side vegetables (20.0%) and represented less than 5% of the actual daily energy intake. Offered and self-reported portion sizes were significantly correlated (r = 0.80 P < 0.001) and demonstrated a strong agreement as assessed by the kappa score of 0.62. Reported portion sizes for individual food items were on average 3.2 g over the offered portion sizes. Portions of 100 g and above were on average underestimated by 2.4% (r = 0.68 P < 0.01; kappa score = 0.50) while small portions (less than 100 g) were overestimated by 17.1% (r = 0.46 P < 0.01; kappa score = 0.43). A nonsignificant underestimation (-13.9 kcal ± 646.3 kcal; P = 0.83) of energy intake was noted.ConclusionR24W performed well as participants were able to report the great majority of items they ate and selected portion size strongly related to the one they received. This suggests that food items are easily to find within the R24W and images of portion sizes used in this dietary assessment tool are adequate and can provide valid food intake evaluation.

Project description:BackgroundData on dietary intakes in Russian adults and children are assessed very infrequently primarily due to the time, cost, and burden to the participants for assessing dietary patterns. To overcome some of those challenges, the use of web-based 24-hour recall methods can be successfully used.ObjectiveThe study objective is to assess the extent of agreement between a self-administered and an interviewer-administered 24-hour dietary recall in Russian adults and school-aged children using an adaptation of a web-based 24-hour recall tool.MethodsThis web-based dietary assessment tool is based on a previously validated tool, which has been adapted to the Russian diet and language. A randomized 50% (n=97) of 194 participants initially completed a self-administered web-based dietary recall, followed by an interviewer-administered 24-hour dietary recall later that same day, and vice versa for the other 50% (n=97) of participants. Following at least 1 week wash-out period, during visit 2, participant groups completed the 2 dietary recalls in the opposite order. Statistical analysis was carried out on the intake results from both methods for the 2 recalls. Finally, an evaluation questionnaire on ease-of-use of the tool was also completed.ResultsIn total, intakes of 28 nutrients and energy were analyzed in this study. The Bland-Altman analysis showed that between 98.4% and 90.5% of data points were within the limits of agreement among all age groups and nutrients analyzed. A "moderate to excellent" reliability between the 2 methods was observed in younger children. In older children, a "moderate to good" reliability was observed, with the exception of sodium. In adults, "moderate to excellent" reliability between both methods was observed with the exception of vitamins B1, B2, and B6, and pantothenic acid. The level of agreement between the categorization of estimates into thirds of the intake distribution for the average of the 2 days was satisfactory, since the percentages of participants categorized into the same tertile of intake were ˃50%, and the percentages of participants categorized into the opposite tertile of intake were <10%. The majority of respondents were very positive in their evaluation of the web-based dietary assessment tool.ConclusionsOverall, the web-based dietary assessment tool performs well when compared with a face-to-face, interviewer-administered 24-hour dietary recall and provides comparable estimates of energy and nutrient intakes in Russian adults and children.Trial registrationClinicalTrials.gov NCT04372160; https://clinicaltrials.gov/ct2/show/NCT04372160.

Project description:Undernutrition remains highly prevalent in African children, highlighting the need for accurately assessing dietary intake. In order to do so, the assessment method must be validated in the target population. A triple pass 24 hour dietary recall with volumetric portion size estimation has been described but not previously validated in African children. This study aimed to establish the relative validity of 24-hour dietary recalls of daily food consumption in healthy African children living in Mbale and Soroti, eastern Uganda compared to simultaneous weighed food records. Quantitative assessment of daily food consumption by weighed food records followed by two independent assessments using triple pass 24-hour dietary recall on the following day. In conjunction with household measures and standard food sizes, volumes of liquid, dry rice, or play dough were used to aid portion size estimation. Inter-assessor agreement, and agreement with weighed food records was conducted primarily by Bland-Altman analysis and secondly by intraclass correlation coefficients and quartile cross-classification. 19 healthy children aged 6 months to 12 years were included in the study. Bland-Altman analysis showed 24-hour recall only marginally under-estimated energy (mean difference of 149kJ or 2.8%; limits of agreement -1618 to 1321kJ), protein (2.9g or 9.4%; -12.6 to 6.7g), and iron (0.43mg or 8.3%; -3.1 to 2.3mg). Quartile cross-classification was correct in 79% of cases for energy intake, and 89% for both protein and iron. The intraclass correlation coefficient between the separate dietary recalls for energy was 0.801 (95% CI, 0.429-0.933), indicating acceptable inter-observer agreement. Dietary assessment using 24-hour dietary recall with volumetric portion size estimation resulted in similar and acceptable estimates of dietary intake compared with weighed food records and thus is considered a valid method for daily dietary intake assessment of children in communities with similar diets. The method will be utilised in a sub-study of a large randomised controlled trial addressing treatment in severe childhood anaemia. This study was approved by the Mbale Research Ethics committee (Reference: 2013-050). Transfusion and Treatment of severe Anaemia in African Children: a randomized controlled Trial (TRACT) registration: ISRCTN84086586.

Dataset Information

Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers.

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Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers.

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