Literature DB >> 21729481

Development and evaluation of the Oxford WebQ, a low-cost, web-based method for assessment of previous 24 h dietary intakes in large-scale prospective studies.

Bette Liu1, Heather Young, Francesca L Crowe, Victoria S Benson, Elizabeth A Spencer, Timothy J Key, Paul N Appleby, Valerie Beral.   

Abstract

OBJECTIVES: To describe the development of the Oxford WebQ, a web-based 24 h dietary assessment tool developed for repeated administration in large prospective studies; and to report the preliminary assessment of its performance for estimating nutrient intakes.
DESIGN: We developed the Oxford WebQ by repeated testing until it was sufficiently comprehensive and easy to use. For the latest version, we compared nutrient intakes from volunteers who completed both the Oxford WebQ and an interviewer-administered 24 h dietary recall on the same day.
SETTING: Oxford, UK.
SUBJECTS: A total of 116 men and women.
RESULTS: The WebQ took a median of 12·5 (interquartile range: 10·8-16·3) min to self-complete and nutrient intakes were estimated automatically. By contrast, the interviewer-administered 24 h dietary recall took 30 min to complete and 30 min to code. Compared with the 24 h dietary recall, the mean Spearman's correlation for the 21 nutrients obtained from the WebQ was 0·6, with the majority between 0·5 and 0·9. The mean differences in intake were less than ±10 % for all nutrients except for carotene and vitamins B12 and D. On rare occasions a food item was reported in only one assessment method, but this was not more frequent or systematically different between the methods.
CONCLUSIONS: Compared with an interviewer-based 24 h dietary recall, the WebQ captures similar food items and estimates similar nutrient intakes for a single day's dietary intake. The WebQ is self-administered and nutrients are estimated automatically, providing a low-cost method for measuring dietary intake in large-scale studies.

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Year:  2011        PMID: 21729481     DOI: 10.1017/S1368980011000942

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  89 in total

1.  Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies.

Authors:  J Freese; S Feller; U Harttig; C Kleiser; J Linseisen; B Fischer; M F Leitzmann; J Six-Merker; K B Michels; K Nimptsch; A Steinbrecher; T Pischon; T Heuer; I Hoffmann; G Jacobs; H Boeing; U Nöthlings
Journal:  Eur J Clin Nutr       Date:  2014-01-08       Impact factor: 4.016

2.  Genome-wide association study of breakfast skipping links clock regulation with food timing.

Authors:  Hassan S Dashti; Jordi Merino; Jacqueline M Lane; Yanwei Song; Caren E Smith; Toshiko Tanaka; Nicola M McKeown; Chandler Tucker; Dianjianyi Sun; Traci M Bartz; Ruifang Li-Gao; Hoirun Nisa; Sirimon Reutrakul; Rozenn N Lemaitre; Tahani M Alshehri; Renée de Mutsert; Lydia Bazzano; Lu Qi; Kristen L Knutson; Bruce M Psaty; Dennis O Mook-Kanamori; Vesna Boraska Perica; Marian L Neuhouser; Frank A J L Scheer; Martin K Rutter; Marta Garaulet; Richa Saxena
Journal:  Am J Clin Nutr       Date:  2019-08-01       Impact factor: 7.045

3.  Morning diurnal preference and food intake: a Mendelian randomization study.

Authors:  Hassan S Dashti; Angela Chen; Iyas Daghlas; Richa Saxena
Journal:  Am J Clin Nutr       Date:  2020-11-11       Impact factor: 7.045

4.  Genetic susceptibility, plant-based dietary patterns, and risk of cardiovascular disease.

Authors:  Yoriko Heianza; Tao Zhou; Dianjianyi Sun; Frank B Hu; JoAnn E Manson; Lu Qi
Journal:  Am J Clin Nutr       Date:  2020-07-01       Impact factor: 7.045

Review 5.  Innovations in research and clinical care using patient-generated health data.

Authors:  Heather S L Jim; Aasha I Hoogland; Naomi C Brownstein; Anna Barata; Adam P Dicker; Hans Knoop; Brian D Gonzalez; Randa Perkins; Dana Rollison; Scott M Gilbert; Ronica Nanda; Anders Berglund; Ross Mitchell; Peter A S Johnstone
Journal:  CA Cancer J Clin       Date:  2020-04-20       Impact factor: 508.702

6.  Development and Validation of an Objective, Passive Dietary Assessment Method for Estimating Food and Nutrient Intake in Households in Low- and Middle-Income Countries: A Study Protocol.

Authors:  Modou L Jobarteh; Megan A McCrory; Benny Lo; Mingui Sun; Edward Sazonov; Alex K Anderson; Wenyan Jia; Kathryn Maitland; Jianing Qiu; Matilda Steiner-Asiedu; Janine A Higgins; Tom Baranowski; Peter Olupot-Olupot; Gary Frost
Journal:  Curr Dev Nutr       Date:  2020-02-07

7.  Adiposity among 132 479 UK Biobank participants; contribution of sugar intake vs other macronutrients.

Authors:  J J Anderson; C A Celis-Morales; D F Mackay; S Iliodromiti; D M Lyall; N Sattar; Jmr Gill; J P Pell
Journal:  Int J Epidemiol       Date:  2017-04-01       Impact factor: 7.196

8.  Starch Digestion-Related Amylase Genetic Variants, Diet, and Changes in Adiposity: Analyses in Prospective Cohort Studies and a Randomized Dietary Intervention.

Authors:  Yoriko Heianza; Tao Zhou; Chen Yuhang; Tao Huang; Walter C Willett; Frank B Hu; George A Bray; Frank M Sacks; Lu Qi
Journal:  Diabetes       Date:  2020-06-03       Impact factor: 9.461

Review 9.  A Narrative Review of the Role of Diet and Lifestyle Factors in the Development and Prevention of Endometrial Cancer.

Authors:  Hajar Ku Yasin; Anthony H Taylor; Thangesweran Ayakannu
Journal:  Cancers (Basel)       Date:  2021-04-29       Impact factor: 6.639

10.  Recent consumption of a caffeine-containing beverage and serum biomarkers of cardiometabolic function in the UK Biobank.

Authors:  Marilyn C Cornelis
Journal:  Br J Nutr       Date:  2020-11-04       Impact factor: 3.718

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