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Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers.
Greenwood, Darren C; Hardie, Laura J; Frost, Gary S; Alwan, Nisreen A; Bradbury, Kathryn E; Carter, Michelle; Elliott, Paul; Evans, Charlotte E L; Ford, Heather E; Hancock, Neil; Key, Timothy J; Liu, Bette; Morris, Michelle A; Mulla, Umme Z; Petropoulou, Katerina; Potter, Gregory D M; Riboli, Elio; Young, Heather; Wark, Petra A; Cade, Janet E.
Afiliação
  • Greenwood DC; School of Medicine, University of Leeds, Leeds, United Kingdom.
  • Hardie LJ; Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom.
  • Frost GS; School of Medicine, University of Leeds, Leeds, United Kingdom.
  • Alwan NA; Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, United Kingdom.
  • Bradbury KE; Academic Unit of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
  • Carter M; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.
  • Elliott P; Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
  • Evans CEL; National Institute for Health Innovation, University of Auckland, Auckland, New Zealand.
  • Ford HE; Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom.
  • Hancock N; MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom.
  • Key TJ; NIHR Imperial Biomedical Research Centre, Imperial College London, London, United Kingdom.
  • Liu B; Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom.
  • Morris MA; Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, United Kingdom.
  • Mulla UZ; Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom.
  • Petropoulou K; Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
  • Potter GDM; Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
  • Riboli E; School of Public Health and Community Medicine, University of New South Wales, Sydney, New South Wales, Australia.
  • Young H; Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom.
  • Wark PA; Global eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
  • Cade JE; Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, United Kingdom.
Am J Epidemiol ; 188(10): 1858-1867, 2019 10 01.
Artigo em Inglês | MEDLINE | ID: mdl-31318012
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.
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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Inquéritos sobre Dietas Limite: Adulto / Feminino / Humanos / Masculino País/Região como assunto: Europa Idioma: Inglês Revista: Am J Epidemiol Ano de publicação: 2019 Tipo de documento: Artigo País de afiliação: Reino Unido