Title
Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative
UMMS Affiliation
Department of Medicine, Division of Preventive and Behavioral Medicine
Publication Date
2008-05-15
Document Type
Article
Subjects
Aged; Biological Markers; Body Mass Index; *Diet Records; Dietary Proteins; *Energy Intake; Female; Food Habits; Humans; Linear Models; Middle Aged; *Nutrition Assessment; Postmenopause; Questionnaires; Women's Health
Disciplines
Life Sciences | Medicine and Health Sciences | Women's Studies
Abstract
Underreporting of energy consumption by self-report is well-recognized, but previous studies using recovery biomarkers have not been sufficiently large to establish whether participant characteristics predict misreporting. In 2004-2005, 544 participants in the Women's Health Initiative Dietary Modification Trial completed a doubly labeled water protocol (energy biomarker), 24-hour urine collection (protein biomarker), and self-reports of diet (assessed by food frequency questionnaire (FFQ)), exercise, and lifestyle habits; 111 women repeated all procedures after 6 months. Using linear regression, the authors estimated associations of participant characteristics with misreporting, defined as the extent to which the log ratio (self-reported FFQ/nutritional biomarker) was less than zero. Intervention women in the trial underreported energy intake by 32% (vs. 27% in the comparison arm) and protein intake by 15% (vs. 10%). Younger women had more underreporting of energy (p = 0.02) and protein (p = 0.001), while increasing body mass index predicted increased underreporting of energy and overreporting of percentage of energy derived from protein (p = 0.001 and p = 0.004, respectively). Blacks and Hispanics underreported more than did Caucasians. Correlations of initial measures with repeat measures (n = 111) were 0.72, 0.70, 0.46, and 0.64 for biomarker energy, FFQ energy, biomarker protein, and FFQ protein, respectively. Recovery biomarker data were used in regression equations to calibrate self-reports; the potential application of these equations to disease risk modeling is presented. The authors confirm the existence of systematic bias in dietary self-reports and provide methods of correcting for measurement error.
DOI of Published Version
10.1093/aje/kwn026
Source
Am J Epidemiol. 2008 May 15;167(10):1247-59. Epub 2008 Mar 15. Link to article on publisher's site
Journal/Book/Conference Title
American journal of epidemiology
Related Resources
PubMed ID
18344516
Repository Citation
Neuhouser, Marian L.; Tinker, Lesley; Shaw, Pamela A.; Schoeller, Dale; Bingham, Sheila A.; Van Horn, Linda; Beresford, Shirley A. A.; Caan, Bette J.; Thomson, Cynthia; Satterfield, Suzanne; Kuller, Lew; Heiss, Gerardo; Smit, Ellen; Sarto, Gloria E.; Ockene, Judith K.; Stefanick, Marcia L.; Assaf, Annlouise R.; Runswick, Shirley; and Prentice, Ross L., "Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative" (2008). Women’s Health Research Faculty Publications. 489.
https://escholarship.umassmed.edu/wfc_pp/489
