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

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 Johnson, Judy Ockene, Gloria Sarto, Gerardo Heiss, Marian L. Neuhouser

Research output: Contribution to journalArticle

146 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)591-603
Number of pages13
JournalAmerican Journal of Epidemiology
Volume174
Issue number5
DOIs
StatePublished - Sep 1 2011

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Biomarkers
Food
Proteins
Calibration
Women's Health
Epidemiologic Studies
Epidemiology
Body Mass Index
Cohort Studies
Prospective Studies
Research
Surveys and Questionnaires

All Science Journal Classification (ASJC) codes

  • Epidemiology

Cite this

Prentice, R. L., Mossavar-Rahmani, Y., Huang, Y., Van Horn, L., Beresford, S. A. A., Caan, B., ... Neuhouser, M. L. (2011). Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. American Journal of Epidemiology, 174(5), 591-603. https://doi.org/10.1093/aje/kwr140

Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. / Prentice, Ross L.; Mossavar-Rahmani, Yasmin; Huang, Ying; Van Horn, Linda; Beresford, Shirley A.A.; Caan, Bette; Tinker, Lesley; Schoeller, Dale; Bingham, Sheila; Eaton, Charles B.; Thomson, Cynthia; Johnson, Karen; Ockene, Judy; Sarto, Gloria; Heiss, Gerardo; Neuhouser, Marian L.

In: American Journal of Epidemiology, Vol. 174, No. 5, 01.09.2011, p. 591-603.

Research output: Contribution to journalArticle

Prentice, RL, Mossavar-Rahmani, Y, Huang, Y, Van Horn, L, Beresford, SAA, Caan, B, Tinker, L, Schoeller, D, Bingham, S, Eaton, CB, Thomson, C, Johnson, K, Ockene, J, Sarto, G, Heiss, G & Neuhouser, ML 2011, 'Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers', American Journal of Epidemiology, vol. 174, no. 5, pp. 591-603. https://doi.org/10.1093/aje/kwr140
Prentice, Ross L. ; Mossavar-Rahmani, Yasmin ; Huang, Ying ; Van Horn, Linda ; Beresford, Shirley A.A. ; Caan, Bette ; Tinker, Lesley ; Schoeller, Dale ; Bingham, Sheila ; Eaton, Charles B. ; Thomson, Cynthia ; Johnson, Karen ; Ockene, Judy ; Sarto, Gloria ; Heiss, Gerardo ; Neuhouser, Marian L. / Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. In: American Journal of Epidemiology. 2011 ; Vol. 174, No. 5. pp. 591-603.
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