Literature DB >> 14681273

A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study.

Arthur Schatzkin1, Victor Kipnis, Raymond J Carroll, Douglas Midthune, Amy F Subar, Sheila Bingham, Dale A Schoeller, Richard P Troiano, Laurence S Freedman.   

Abstract

BACKGROUND: Most large cohort studies have used a food frequency questionnaire (FFQ) for assessing dietary intake. Several biomarker studies, however, have cast doubt on whether the FFQ has sufficient precision to allow detection of moderate but important diet-disease associations. We use data from the Observing Protein and Energy Nutrition (OPEN) study to compare the performance of a FFQ with that of a 24-hour recall (24HR).
METHODS: The OPEN study included 484 healthy volunteer participants (261 men, 223 women) from Montgomery County, Maryland, aged 40-69. Each participant was asked to complete a FFQ and 24HR on two occasions 3 months apart, and a doubly labelled water (DLW) assessment and two 24-hour urine collections during the 2 weeks after the first FFQ and 24HR assessment. For both the FFQ and 24HR and for both men and women, we calculated attenuation factors for absolute energy, absolute protein, and protein density.
RESULTS: For absolute energy and protein, a single FFQ's attenuation factor is 0.04-0.16. Repeat administrations lead to little improvement (0.08-0.19). Attenuation factors for a single 24HR are 0.10-0.20, but four repeats would yield attenuations of 0.20-0.37. For protein density a single FFQ has an attenuation of 0.3-0.4; for a single 24HR the attenuation factor is 0.15-0.25 but would increase to 0.35-0.50 with four repeats.
CONCLUSIONS: Because of severe attenuation, the FFQ cannot be recommended as an instrument for evaluating relations between absolute intake of energy or protein and disease. Although this attenuation is lessened in analyses of energy-adjusted protein, it remains substantial for both FFQ and multiple 24HR. The utility of either of these instruments for detecting important but moderate relative risks (between 1.5 and 2.0), even for energy-adjusted dietary factors, is questionable.

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Year:  2003        PMID: 14681273     DOI: 10.1093/ije/dyg264

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  165 in total

Review 1.  Energy balance measurement: when something is not better than nothing.

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3.  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

4.  Effect of dietary fiber intake on lipoprotein cholesterol levels independent of estradiol in healthy premenopausal women.

Authors:  Sunni L Mumford; Enrique F Schisterman; Anna Maria Siega-Riz; Audrey J Gaskins; Jean Wactawski-Wende; Tyler J VanderWeele
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5.  Web-enabled and improved software tools and data are needed to measure nutrient intakes and physical activity for personalized health research.

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Review 6.  Reduced or modified dietary fat for preventing cardiovascular disease.

Authors:  Lee Hooper; Carolyn D Summerbell; Rachel Thompson; Deirdre Sills; Felicia G Roberts; Helen J Moore; George Davey Smith
Journal:  Cochrane Database Syst Rev       Date:  2012-05-16

Review 7.  Dietary trans fatty acids: review of recent human studies and food industry responses.

Authors:  J Edward Hunter
Journal:  Lipids       Date:  2006-11       Impact factor: 1.880

8.  Portion-controlled meals provide increases in diet quality during weight loss and maintenance.

Authors:  L T Ptomey; E A Willis; J R Goetz; J Lee; A N Szabo-Reed; D K Sullivan; J E Donnelly
Journal:  J Hum Nutr Diet       Date:  2015-02-09       Impact factor: 3.089

9.  Maternal protein intake is not associated with infant blood pressure.

Authors:  Susanna Y Huh; Sheryl L Rifas-Shiman; Ken P Kleinman; Janet W Rich-Edwards; Steven E Lipshultz; Matthew W Gillman
Journal:  Int J Epidemiol       Date:  2004-12-02       Impact factor: 7.196

10.  Trends in dietary fat and high-fat food intakes from 1991 to 2008 in the Framingham Heart Study participants.

Authors:  Maya Vadiveloo; Marc Scott; Paula Quatromoni; Paul Jacques; Niyati Parekh
Journal:  Br J Nutr       Date:  2013-09-19       Impact factor: 3.718

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