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Combining a Food Frequency Questionnaire With 24-Hour Recalls to Increase the Precision of Estimation of Usual Dietary Intakes-Evidence From the Validation Studies Pooling Project.
Freedman, Laurence S; Midthune, Douglas; Arab, Lenore; Prentice, Ross L; Subar, Amy F; Willett, Walter; Neuhouser, Marian L; Tinker, Lesley F; Kipnis, Victor.
Afiliação
  • Freedman LS; Biostatistics Unit, Gertner Institute for Epidemiology, Sheba Medical Center, Tel Hashomer, Israel.
  • Midthune D; Information Management Services, Inc., Rockville, Maryland.
  • Arab L; Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland.
  • Prentice RL; Division of General Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
  • Subar AF; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Willett W; Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
  • Neuhouser ML; Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Tinker LF; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Kipnis V; Division of Nutrition, Harvard Medical School, Boston, Massachusetts.
Am J Epidemiol ; 187(10): 2227-2232, 2018 10 01.
Article em En | MEDLINE | ID: mdl-29917051
Improving estimates of individuals' dietary intakes is key to obtaining more reliable evidence for diet-health relationships from nutritional cohort studies. One approach to improvement is combining information from different self-report instruments. Previous work evaluated the gains obtained from combining information from a food frequency questionnaire (FFQ) and multiple 24-hour recalls (24HRs), based on assuming that 24HRs provide unbiased measures of individual intakes. Here we evaluate the same approach of combining instruments but base it on the better assumption that recovery biomarkers provide unbiased measures of individual intakes. Our analysis uses data from the 5 large validation studies included in the Validation Studies Pooling Project: the Observing Protein and Energy Nutrition Study (1999-2000), the Automated Multiple-Pass Method validation study (2002-2004), the Energetics Study (2006-2009), the Nutrition Biomarker Study (2004-2005), and the Nutrition and Physical Activity Assessment Study (2007-2009). The data included intakes of energy, protein, potassium, and sodium. Under a time-varying usual-intake model analysis, the combination of an FFQ with 4 24HRs improved correlations with true intake for predicted protein density, potassium density, and sodium density (range, 0.39-0.61) in comparison with use of a single FFQ (range, 0.34-0.50). Absolute increases in correlation ranged from 0.02 to 0.26, depending on nutrient and sex, with an average increase of 0.14. Based on unbiased recovery biomarker evaluation for these nutrients, we confirm that combining an FFQ with multiple 24HRs modestly improves the accuracy of estimates of individual intakes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Rememoração Mental / Inquéritos sobre Dietas / Autorrelato Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Epidemiol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Israel

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Rememoração Mental / Inquéritos sobre Dietas / Autorrelato Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Epidemiol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Israel