Literature DB >> 21765003

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

Ross L Prentice1, 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.   

Abstract

The food frequency questionnaire approach to dietary assessment is ubiquitous in nutritional epidemiology research. Food records and recalls provide approaches that may also be adaptable for use in large epidemiologic cohorts, if warranted by better measurement properties. The authors collected (2007-2009) a 4-day food record, three 24-hour dietary recalls, and a food frequency questionnaire from 450 postmenopausal women in the Women's Health Initiative prospective cohort study (enrollment, 1994-1998), along with biomarkers of energy and protein consumption. Through comparison with biomarkers, the food record is shown to provide a stronger estimate of energy and protein than does the food frequency questionnaire, with 24-hour recalls mostly intermediate. Differences were smaller and nonsignificant for protein density. Food frequencies, records, and recalls were, respectively, able to "explain" 3.8%, 7.8%, and 2.8% of biomarker variation for energy; 8.4%, 22.6%, and 16.2% of biomarker variation for protein; and 6.5%, 11.0%, and 7.0% of biomarker variation for protein density. However, calibration equations that include body mass index, age, and ethnicity substantially improve these numbers to 41.7%, 44.7%, and 42.1% for energy; 20.3%, 32.7%, and 28.4% for protein; and 8.7%, 14.4%, and 10.4% for protein density. Calibration equations using any of the assessment procedures may yield suitable consumption estimates for epidemiologic study purposes.

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Year:  2011        PMID: 21765003      PMCID: PMC3202154          DOI: 10.1093/aje/kwr140

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


  23 in total

1.  Epidemiological assessment of diet: a comparison of a 7-day diary with a food frequency questionnaire using urinary markers of nitrogen, potassium and sodium.

Authors:  N Day; N McKeown; M Wong; A Welch; S Bingham
Journal:  Int J Epidemiol       Date:  2001-04       Impact factor: 7.196

2.  Commentary: Dietary diaries versus food frequency questionnaires-a case of undigestible data.

Authors:  W Willett
Journal:  Int J Epidemiol       Date:  2001-04       Impact factor: 7.196

3.  Biomarker-calibrated energy and protein consumption and cardiovascular disease risk among postmenopausal women.

Authors:  Ross L Prentice; Ying Huang; Lewis H Kuller; Lesley F Tinker; Linda Van Horn; Marcia L Stefanick; Gloria Sarto; Judith Ockene; Karen C Johnson
Journal:  Epidemiology       Date:  2011-03       Impact factor: 4.822

4.  The use of 24-h urine samples and energy expenditure to validate dietary assessments.

Authors:  S A Bingham
Journal:  Am J Clin Nutr       Date:  1994-01       Impact factor: 7.045

5.  para-amino benzoic acid in the assessment of completeness of 24-hour urine collections from hospital outpatients and the effect of impaired renal function.

Authors:  S A Bingham; J Murphy; E Waller; S A Runswick; G Neale; D Evans; J H Cummings
Journal:  Eur J Clin Nutr       Date:  1992-02       Impact factor: 4.016

6.  Design of the Women's Health Initiative clinical trial and observational study. The Women's Health Initiative Study Group.

Authors: 
Journal:  Control Clin Trials       Date:  1998-02

7.  Dietary fiber and colorectal cancer risk: a nested case-control study using food diaries.

Authors:  Christina C Dahm; Ruth H Keogh; Elizabeth A Spencer; Darren C Greenwood; Tim J Key; Ian S Fentiman; Martin J Shipley; Eric J Brunner; Janet E Cade; Victoria J Burley; Gita Mishra; Alison M Stephen; Diana Kuh; Ian R White; Robert Luben; Marleen A H Lentjes; Kay Tee Khaw; Sheila A Rodwell Bingham
Journal:  J Natl Cancer Inst       Date:  2010-04-20       Impact factor: 13.506

8.  A comparison of two dietary instruments for evaluating the fat-breast cancer relationship.

Authors:  Laurence S Freedman; Nancy Potischman; Victor Kipnis; Douglas Midthune; Arthur Schatzkin; Frances E Thompson; Richard P Troiano; Ross Prentice; Ruth Patterson; Raymond Carroll; Amy F Subar
Journal:  Int J Epidemiol       Date:  2006-05-03       Impact factor: 7.196

9.  Are imprecise methods obscuring a relation between fat and breast cancer?

Authors:  Sheila A Bingham; Robert Luben; Ailsa Welch; Nicholas Wareham; Kay-Tee Khaw; Nicholas Day
Journal:  Lancet       Date:  2003-07-19       Impact factor: 79.321

Review 10.  Observational epidemiologic studies of nutrition and cancer: the next generation (with better observation).

Authors:  Arthur Schatzkin; Amy F Subar; Steven Moore; Yikyung Park; Nancy Potischman; Frances E Thompson; Michael Leitzmann; Albert Hollenbeck; Kerry Grace Morrissey; Victor Kipnis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-03-31       Impact factor: 4.254

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  138 in total

1.  Addressing Current Criticism Regarding the Value of Self-Report Dietary Data.

Authors:  Amy F Subar; Laurence S Freedman; Janet A Tooze; Sharon I Kirkpatrick; Carol Boushey; Marian L Neuhouser; Frances E Thompson; Nancy Potischman; Patricia M Guenther; Valerie Tarasuk; Jill Reedy; Susan M Krebs-Smith
Journal:  J Nutr       Date:  2015-10-14       Impact factor: 4.798

2.  Racial Differences in Misclassification of Healthy Eating Based on Food Frequency Questionnaire and 24-Hour Dietary Recalls.

Authors:  B Olendzki; E Procter-Gray; M F Magee; G Youssef; K Kane; L Churchill; J Ockene; W Li
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

3.  Regression calibration in nutritional epidemiology: example of fat density and total energy in relationship to postmenopausal breast cancer.

Authors:  Ross L Prentice; Mary Pettinger; Lesley F Tinker; Ying Huang; Cynthia A Thomson; Karen C Johnson; Jeannette Beasley; Garnet Anderson; James M Shikany; Rowan T Chlebowski; Marian L Neuhouser
Journal:  Am J Epidemiol       Date:  2013-09-24       Impact factor: 4.897

4.  Dietary intake of fiber, fruit and vegetables decreases the risk of incident kidney stones in women: a Women's Health Initiative report.

Authors:  Mathew D Sorensen; Ryan S Hsi; Thomas Chi; Nawar Shara; Jean Wactawski-Wende; Arnold J Kahn; Hong Wang; Lifang Hou; Marshall L Stoller
Journal:  J Urol       Date:  2014-05-22       Impact factor: 7.450

5.  Dietary Assessment and Opportunities to Enhance Nutritional Epidemiology Evidence.

Authors:  Ross L Prentice
Journal:  Ann Intern Med       Date:  2020-01-28       Impact factor: 25.391

6.  A statistical model for measurement error that incorporates variation over time in the target measure, with application to nutritional epidemiology.

Authors:  Laurence S Freedman; Douglas Midthune; Kevin W Dodd; Raymond J Carroll; Victor Kipnis
Journal:  Stat Med       Date:  2015-07-14       Impact factor: 2.373

7.  Predicting fat-free mass index and sarcopenia: a pilot study in community-dwelling older adults.

Authors:  Emily I McIntosh; K Brent Smale; Lori Ann Vallis
Journal:  Age (Dordr)       Date:  2013-01-16

8.  Associations of serum insulin-like growth factor-I and insulin-like growth factor-binding protein 3 levels with biomarker-calibrated protein, dairy product and milk intake in the Women's Health Initiative.

Authors:  Jeannette M Beasley; Marc J Gunter; Andrea Z LaCroix; Ross L Prentice; Marian L Neuhouser; Lesley F Tinker; Mara Z Vitolins; Howard D Strickler
Journal:  Br J Nutr       Date:  2013-10-07       Impact factor: 3.718

Review 9.  Diet, nutrition, and cancer: past, present and future.

Authors:  Susan T Mayne; Mary C Playdon; Cheryl L Rock
Journal:  Nat Rev Clin Oncol       Date:  2016-03-08       Impact factor: 66.675

10.  The carbon isotope ratio of alanine in red blood cells is a new candidate biomarker of sugar-sweetened beverage intake.

Authors:  Kyungcheol Choy; Sarah H Nash; Alan R Kristal; Scarlett Hopkins; Bert B Boyer; Diane M O'Brien
Journal:  J Nutr       Date:  2013-04-24       Impact factor: 4.798

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