TY - JOUR
T1 - Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative
AU - Neuhouser, Marian L.
AU - Tinker, Lesley
AU - Shaw, Pamela A.
AU - Schoeller, Dale
AU - Bingham, Sheila A.
AU - Horn, Linda Van
AU - Beresford, Shirley A.A.
AU - Caan, Bette
AU - Thomson, Cynthia
AU - Satterfield, Suzanne
AU - Kuller, Lew
AU - Heiss, Gerardo
AU - Smit, Ellen
AU - Sarto, Gloria
AU - Ockene, Judith
AU - Stefanick, Marcia L.
AU - Assaf, Annlouise
AU - Runswick, Shirley
AU - Prentice, Ross L.
PY - 2008/5
Y1 - 2008/5
N2 - 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.
AB - 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.
KW - Bias (epidemiology)
KW - Biological markers
KW - Diet
KW - Energy intake
KW - Epidemiologic methods
KW - Measurement error
KW - Nutrition assessment
KW - Proteins
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U2 - 10.1093/aje/kwn026
DO - 10.1093/aje/kwn026
M3 - Article
C2 - 18344516
AN - SCOPUS:43249118741
SN - 0002-9262
VL - 167
SP - 1247
EP - 1259
JO - American journal of epidemiology
JF - American journal of epidemiology
IS - 10
ER -