Abstract
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.
Original language | English |
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Pages (from-to) | 2227-2232 |
Number of pages | 6 |
Journal | American Journal of Epidemiology |
Volume | 187 |
Issue number | 10 |
DOIs | |
State | Published - 1 Oct 2018 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2018.
Funding
Author affiliations: Biostatistics Unit, Gertner Institute for Epidemiology, Sheba Medical Center, Tel Hashomer, Israel (Laurence S. Freedman); Information Management Services, Inc., Rockville, Maryland (Laurence S. Freedman); Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland (Douglas Midthune, Victor Kipnis); Division of General Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California (Lenore Arab); Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington (Ross L. Prentice, Marian L. Neuhouser, Lesley F. Tinker); Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland (Amy F. Subar); Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Walter Willett); Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts (Walter Willett); and Division of Nutrition, Harvard Medical School, Boston, Massachusetts (Walter Willett). This work was supported by the National Heart, Lung, and Blood Institute (contracts HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, and HHSN271201100004C for the Women’s Health Initiative) and the National Cancer Institute (grant R01 CA119171 for the Nutrition and Physical Activity Assessment Study). We thank the following people for their valuable contributions to this work: Dr. Alfonso Ang (University of California, Los Angeles, Los Angeles, California), John Commins (Information Management Services, Inc., Rockville, Maryland), Dr. Sheila Bingham (deceased; Dunn Nutrition Unit, Medical Research Council, Cambridge, United Kingdom), Dr. Kevin Dodd (National Cancer Institute, Bethesda, Maryland), Dr. Alanna Moshfegh (US Department of Agriculture, Washington, DC), Dr. Nancy Potischman (National Institutes of Health, Bethesda, Maryland), Dr. Dale Schoeller (University of Wisconsin, Madison, Wisconsin), and Dr. Richard Troiano (National Institutes of Health). We also thank the Women’s Health Initiative investigators and staff for their dedication. A full listing of Women’s Health Initiative investigators can be found at https://www.whi.org/researchers/Documents%20% 20Write%20a%20Paper/WHI%20Investigator%20Long% 20List.pdf.
Funders | Funder number |
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Women’s Health Initiative | |
National Heart, Lung, and Blood Institute | HHSN271201100004C, HHSN268201100002C |
National Cancer Institute | R01CA119171 |
Institute for Physical Activity and Nutrition |
Keywords
- cohort studies
- dietary measurement
- energy
- measurement error
- potassium
- protein
- recovery biomarkers
- sodium