Literature DB >> 29917051

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.

Laurence S Freedman1,2, Douglas Midthune3, Lenore Arab4, Ross L Prentice5, Amy F Subar6, Walter Willett7,8,9, Marian L Neuhouser5, Lesley F Tinker5, Victor Kipnis3.   

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.

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Year:  2018        PMID: 29917051      PMCID: PMC6166211          DOI: 10.1093/aje/kwy126

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  27 in total

1.  Using regression calibration equations that combine self-reported intake and biomarker measures to obtain unbiased estimates and more powerful tests of dietary associations.

Authors:  Laurence S Freedman; Douglas Midthune; Raymond J Carroll; Nataŝa Tasevska; Arthur Schatzkin; Julie Mares; Lesley Tinker; Nancy Potischman; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2011-11-01       Impact factor: 4.897

2.  Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

Authors:  Raymond J Carroll; Douglas Midthune; Amy F Subar; Marina Shumakovich; Laurence S Freedman; Frances E Thompson; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2012-01-24       Impact factor: 4.897

3.  Calibration of dietary intake measurements in prospective cohort studies.

Authors:  R Kaaks; E Riboli; W van Staveren
Journal:  Am J Epidemiol       Date:  1995-09-01       Impact factor: 4.897

Review 4.  New technology in dietary assessment: a review of digital methods in improving food record accuracy.

Authors:  Phyllis J Stumbo
Journal:  Proc Nutr Soc       Date:  2013-02       Impact factor: 6.297

Review 5.  New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods.

Authors:  C J Boushey; M Spoden; F M Zhu; E J Delp; D A Kerr
Journal:  Proc Nutr Soc       Date:  2016-12-12       Impact factor: 6.297

6.  Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers.

Authors:  Ross L Prentice; Yasmin Mossavar-Rahmani; Ying Huang; Linda Van Horn; Shirley A A Beresford; Bette Caan; Lesley Tinker; Dale Schoeller; Sheila Bingham; Charles B Eaton; Cynthia Thomson; Karen C Johnson; Judy Ockene; Gloria Sarto; Gerardo Heiss; Marian L Neuhouser
Journal:  Am J Epidemiol       Date:  2011-07-15       Impact factor: 4.897

7.  Eight self-administered 24-hour dietary recalls using the Internet are feasible in African Americans and Whites: the energetics study.

Authors:  Lenore Arab; Kate Wesseling-Perry; Patricia Jardack; Judith Henry; Ashley Winter
Journal:  J Am Diet Assoc       Date:  2010-06

8.  Reproducibility and validity of a semiquantitative food frequency questionnaire.

Authors:  W C Willett; L Sampson; M J Stampfer; B Rosner; C Bain; J Witschi; C H Hennekens; F E Speizer
Journal:  Am J Epidemiol       Date:  1985-07       Impact factor: 4.897

9.  Sodium and potassium intake and balance in adults consuming self-selected diets.

Authors:  J T Holbrook; K Y Patterson; J E Bodner; L W Douglas; C Veillon; J L Kelsay; W Mertz; J C Smith
Journal:  Am J Clin Nutr       Date:  1984-10       Impact factor: 7.045

10.  Urine nitrogen as an independent validatory measure of dietary intake: a study of nitrogen balance in individuals consuming their normal diet.

Authors:  S A Bingham; J H Cummings
Journal:  Am J Clin Nutr       Date:  1985-12       Impact factor: 7.045

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Review 1.  Best Practices for Dietary Supplement Assessment and Estimation of Total Usual Nutrient Intakes in Population-Level Research and Monitoring.

Authors:  Regan L Bailey; Kevin W Dodd; Jaime J Gahche; Johanna T Dwyer; Alexandra E Cowan; Shinyoung Jun; Heather A Eicher-Miller; Patricia M Guenther; Anindya Bhadra; Paul R Thomas; Nancy Potischman; Raymond J Carroll; Janet A Tooze
Journal:  J Nutr       Date:  2019-02-01       Impact factor: 4.798

2.  The association of overall diet quality with BMI and waist circumference by education level in Mexican men and women.

Authors:  Nancy López-Olmedo; Barry M Popkin; Michelle A Mendez; Lindsey Smith Taillie
Journal:  Public Health Nutr       Date:  2019-06-13       Impact factor: 4.022

3.  Outcome Evaluation on Impact of the Nutrition Intervention among Adolescents: A Feasibility, Randomised Control Study from Myheart Beat (Malaysian Health and Adolescents Longitudinal Research Team-Behavioural Epidemiology and Trial).

Authors:  Hazreen Abdul Majid; Ai Kah Ng; Maznah Dahlui; Shooka Mohammadi; Mohd Nahar Azmi Bin Mohamed; Tin Tin Su; Muhammad Yazid Jalaludin
Journal:  Nutrients       Date:  2022-06-30       Impact factor: 6.706

4.  Measurement Error Affecting Web- and Paper-Based Dietary Assessment Instruments: Insights From the Multi-Cohort Eating and Activity Study for Understanding Reporting Error.

Authors:  Sharon I Kirkpatrick; Richard P Troiano; Brian Barrett; Christopher Cunningham; Amy F Subar; Yikyung Park; Heather R Bowles; Laurence S Freedman; Victor Kipnis; Eric B Rimm; Walter C Willett; Nancy Potischman; Donna Spielgelman; David J Baer; Dale A Schoeller; Kevin W Dodd
Journal:  Am J Epidemiol       Date:  2022-05-20       Impact factor: 5.363

5.  Adequacy of iron intakes and socio-demographic factors associated with iron intakes of Australian pre-schoolers.

Authors:  Linda A Atkins; Sarah A McNaughton; Alison C Spence; Ewa A Szymlek-Gay
Journal:  Eur J Nutr       Date:  2019-02-01       Impact factor: 5.614

6.  Relationships Between Dietary Intake and Weight-Related Experiential Avoidance Following Behavioral Weight-Loss Treatment.

Authors:  Jennalee S Wooldridge; Brian H Blanco; Cara Dochat; Matthew S Herbert; Kathryn M Godfrey; Jennifer Salamat; Niloofar Afari
Journal:  Int J Behav Med       Date:  2021-04-17

Review 7.  Overview of dietary assessment methods for measuring intakes of foods, beverages, and dietary supplements in research studies.

Authors:  Regan L Bailey
Journal:  Curr Opin Biotechnol       Date:  2021-03-11       Impact factor: 10.279

Review 8.  Traditional Self-Reported Dietary Instruments Are Prone to Inaccuracies and New Approaches Are Needed.

Authors:  Michele N Ravelli; Dale A Schoeller
Journal:  Front Nutr       Date:  2020-07-03

9.  Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers.

Authors:  Darren C Greenwood; Laura J Hardie; Gary S Frost; Nisreen A Alwan; Kathryn E Bradbury; Michelle Carter; Paul Elliott; Charlotte E L Evans; Heather E Ford; Neil Hancock; Timothy J Key; Bette Liu; Michelle A Morris; Umme Z Mulla; Katerina Petropoulou; Gregory D M Potter; Elio Riboli; Heather Young; Petra A Wark; Janet E Cade
Journal:  Am J Epidemiol       Date:  2019-10-01       Impact factor: 4.897

10.  Feasibility and acceptability of a dietary intervention study to reduce salt intake and increase high-nitrate vegetable consumption among middle-aged and older Malaysian adults with elevated blood pressure: a study protocol.

Authors:  Andrea McGrattan; Devi Mohan; Pei Wei Chua; Azizah Mat Hussin; Yee Chang Soh; Mawada Alawad; Zaid Bin Kassim; Ahmad Nizal Bin Mohd Ghazali; Blossom Stephan; Pascale Allotey; Daniel D Reidpath; Louise Robinson; Mario Siervo
Journal:  BMJ Open       Date:  2020-08-27       Impact factor: 2.692

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