Literature DB >> 9094927

Biochemical markers as additional measurements in studies of the accuracy of dietary questionnaire measurements: conceptual issues.

R J Kaaks1.   

Abstract

Studies of the accuracy of questionnaire measurements of habitual dietary intakes of individuals are generally based on a comparison with replicate weighed-food consumption records or 24-h recalls used as reference measurements. The correlation between the questionnaire measurements (Q) and the subjects' true long-term intake (T) of foods or nutrients (rho QT) is then estimated from the observed correlation with mean reference measurements, with correction for attenuating effects due to random errors in the reference measurements themselves. For this approach to be valid, it is crucial that these random errors are uncorrelated between questionnaire and reference measurements and between replicate reference measurements. In practice, however, these two criteria are not always fulfilled and rho QT may be systematically overestimated or underestimated. The advantage of using biochemical markers in dietary assessments is that there is often little reason to doubt that their random errors are truly independent of those of both questionnaire measurements and food-consumption records. Thus, the inclusion of such markers in dietary validity studies can make it more likely that the criteria of independent errors, crucial in validity studies, are met.

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Year:  1997        PMID: 9094927     DOI: 10.1093/ajcn/65.4.1232S

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  45 in total

1.  Bias in protein and potassium intake collected with 24-h recalls (EPIC-Soft) is rather comparable across European populations.

Authors:  Sandra P Crispim; Anouk Geelen; Jeanne H M de Vries; Heinz Freisling; Olga W Souverein; Paul J M Hulshof; Marga C Ocke; Hendriek Boshuizen; Lene F Andersen; Jiri Ruprich; Willem De Keyzer; Willem De Keizer; Inge Huybrechts; Lionel Lafay; Maria S de Magistris; Fulvio Ricceri; Rosario Tumino; Vittorio Krogh; H Bas Bueno-de-Mesquita; Joline W J Beulens; Marie-Christine Boutron-Ruault; Androniki Naska; Francesca L Crowe; Heiner Boeing; Alison McTaggart; Rudolf Kaaks; Pieter Van't Veer; Nadia Slimani
Journal:  Eur J Nutr       Date:  2011-12-06       Impact factor: 5.614

2.  Re: "Application of a repeat-measure biomarker measurement error model to 2 validation studies: examination of the effect of within-person variation in biomarker measurements".

Authors:  Kevin W Dodd; Douglas Midthune; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2011-11-16       Impact factor: 4.897

3.  Measurement error of dietary self-report in intervention trials.

Authors:  Loki Natarajan; Minya Pu; Juanjuan Fan; Richard A Levine; Ruth E Patterson; Cynthia A Thomson; Cheryl L Rock; John P Pierce
Journal:  Am J Epidemiol       Date:  2010-08-18       Impact factor: 4.897

4.  Hazard ratio estimation for biomarker-calibrated dietary exposures.

Authors:  Pamela A Shaw; Ross L Prentice
Journal:  Biometrics       Date:  2011-10-17       Impact factor: 2.571

5.  Measurement of fruit and vegetable consumption with diet questionnaires and implications for analyses and interpretation.

Authors:  Karin B Michels; Ailsa A Welch; Robert Luben; Sheila A Bingham; Nicholas E Day
Journal:  Am J Epidemiol       Date:  2005-05-15       Impact factor: 4.897

6.  Dietary patterns are associated with metabolic syndrome in adult Samoans.

Authors:  Julia R DiBello; Stephen T McGarvey; Peter Kraft; Robert Goldberg; Hannia Campos; Christine Quested; Tuiasina Salamo Laumoli; Ana Baylin
Journal:  J Nutr       Date:  2009-08-26       Impact factor: 4.798

7.  Understanding nutritional epidemiology and its role in policy.

Authors:  Ambika Satija; Edward Yu; Walter C Willett; Frank B Hu
Journal:  Adv Nutr       Date:  2015-01-15       Impact factor: 8.701

8.  Metabolomics in nutritional epidemiology: identifying metabolites associated with diet and quantifying their potential to uncover diet-disease relations in populations.

Authors:  Kristin A Guertin; Steven C Moore; Joshua N Sampson; Wen-Yi Huang; Qian Xiao; Rachael Z Stolzenberg-Solomon; Rashmi Sinha; Amanda J Cross
Journal:  Am J Clin Nutr       Date:  2014-04-16       Impact factor: 7.045

9.  Demographic-specific Validity of the Cancer Prevention Study-3 Sedentary Time Survey.

Authors:  Erika Rees-Punia; Charles E Matthews; Ellen M Evans; Sarah K Keadle; Rebecca L Anderson; Jennifer L Gay; Michael D Schmidt; Susan M Gapstur; Alpa V Patel
Journal:  Med Sci Sports Exerc       Date:  2019-01       Impact factor: 5.411

10.  Validity of Self-Assessed Sexual Maturation Against Physician Assessments and Hormone Levels.

Authors:  Jorge E Chavarro; Deborah J Watkins; Myriam C Afeiche; Zhenzhen Zhang; Brisa N Sánchez; David Cantonwine; Adriana Mercado-García; Clara Blank-Goldenberg; John D Meeker; Martha María Téllez-Rojo; Karen E Peterson
Journal:  J Pediatr       Date:  2017-04-21       Impact factor: 4.406

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