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. Issue 10 (18th June 2018)

• Record Type: Journal Article
• Authors: Freedman, Laurence S; Midthune, Douglas; Arab, Lenore; Prentice, Ross L; Subar, Amy F; Willett, Walter; Neuhouser, Marian L; Tinker, Lesley F; Kipnis, Victor
• Is Part Of: American journal of epidemiology. Volume 187:Issue 10(2018)
• Page Start: 2227
• Page End: 2232
• Publication Date: 2018-06-18
• Subjects: cohort studies -- dietary measurement -- energy -- measurement error -- potassium -- protein -- recovery biomarkers -- sodium; Epidemiology -- Periodicals; Public health -- Periodicals; 614.4
• DOI: 10.1093/aje/kwy126
• Languages: English
• ISSNs: 0002-9262

Abstract

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.