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Validity of an online 24-h recall tool (myfood24) for dietary assessment in population studies: comparison with biomarkers and standard interviews.
Wark, Petra A; Hardie, Laura J; Frost, Gary S; Alwan, Nisreen A; Carter, Michelle; Elliott, Paul; Ford, Heather E; Hancock, Neil; Morris, Michelle A; Mulla, Umme Z; Noorwali, Essra A; Petropoulou, K; Murphy, David; Potter, Gregory D M; Riboli, Elio; Greenwood, Darren C; Cade, Janet E.
Afiliação
  • Wark PA; Centre for Innovative Research Across the Life Course (CIRAL), Faculty of Health and Life Sciences, Coventry University, Coventry, CV1 5FB, UK.
  • Hardie LJ; Global eHealth Unit, Department of Primary Care and Public Health, Imperial College, Imperial College, London, SW7 2AZ, UK.
  • Frost GS; Division of Epidemiology and Biostatistics, Leeds Institute for Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, LS2 9JT, UK.
  • Alwan NA; Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, W12 ONN, UK.
  • Carter M; Academic Unit of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK.
  • Elliott P; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK.
  • Ford HE; Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK.
  • 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, W2 1PG, UK.
  • Morris MA; Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, W12 ONN, UK.
  • Mulla UZ; Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK.
  • Noorwali EA; Leeds Institute of Data Analytics, University of Leeds, Leeds, LS2 9JT, UK.
  • Petropoulou K; Centre for Innovative Research Across the Life Course (CIRAL), Faculty of Health and Life Sciences, Coventry University, Coventry, CV1 5FB, UK.
  • Murphy D; Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK.
  • Potter GDM; Department of Clinical Nutrition, Faculty of Applied Medical Sciences, Umm Al-Qura University, P.O. Box 715, Makkah, 21955, Saudi Arabia.
  • Riboli E; Nutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, W12 ONN, UK.
  • Greenwood DC; Division of Epidemiology and Biostatistics, Leeds Institute for Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, LS2 9JT, UK.
  • Cade JE; Division of Epidemiology and Biostatistics, Leeds Institute for Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, LS2 9JT, UK.
BMC Med ; 16(1): 136, 2018 Aug 09.
Artigo em Inglês | MEDLINE | ID: mdl-30089491
ABSTRACT

BACKGROUND:

Online dietary assessment tools can reduce administrative costs and facilitate repeated dietary assessment during follow-up in large-scale studies. However, information on bias due to measurement error of such tools is limited. We developed an online 24-h recall (myfood24) and compared its performance with a traditional interviewer-administered multiple-pass 24-h recall, assessing both against biomarkers.

METHODS:

Metabolically stable adults were recruited and completed the new online dietary recall, an interviewer-based multiple pass recall and a suite of reference measures. Longer-term dietary intake was estimated from up to 3 × 24-h recalls taken 2 weeks apart. Estimated intakes of protein, potassium and sodium were compared with urinary biomarker concentrations. Estimated total sugar intake was compared with a predictive biomarker and estimated energy intake compared with energy expenditure measured by accelerometry and calorimetry. Nutrient intakes were also compared to those derived from an interviewer-administered multiple-pass 24-h recall.

RESULTS:

Biomarker samples were received from 212 participants on at least one occasion. Both self-reported dietary assessment tools led to attenuation compared to biomarkers. The online tools resulted in attenuation factors of around 0.2-0.3 and partial correlation coefficients, reflecting ranking intakes, of approximately 0.3-0.4. This was broadly similar to the more administratively burdensome interviewer-based tool. Other nutrient estimates derived from myfood24 were around 10-20% lower than those from the interviewer-based tool, with wide limits of agreement. Intraclass correlation coefficients were approximately 0.4-0.5, indicating consistent moderate agreement.

CONCLUSIONS:

Our findings show that, whilst results from both measures of self-reported diet are attenuated compared to biomarker measures, the myfood24 online 24-h recall is comparable to the more time-consuming and costly interviewer-based 24-h recall across a range of measures.
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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Biomarcadores / Avaliação Nutricional / Técnicas e Procedimentos Diagnósticos / Dieta Limite: Adolescente / Adulto / Idoso / Feminino / Humanos / Masculino / Meia-Idade / Jovem adulto Idioma: Inglês Revista: BMC Med Assunto da revista: Medicina Ano de publicação: 2018 Tipo de documento: Artigo País de afiliação: Reino Unido