Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative

被引:285
作者
Neuhouser, Marian L. [1 ]
Tinker, Lesley [1 ]
Shaw, Pamela A. [2 ]
Schoeller, Dale [3 ]
Bingham, Sheila A. [4 ]
Van Horn, Linda [5 ]
Beresford, Shirley A. A. [1 ,6 ]
Caan, Bette [7 ]
Thomson, Cynthia [8 ,9 ]
Satterfield, Suzanne [10 ]
Kuller, Lew [11 ]
Heiss, Gerardo [12 ]
Smit, Ellen [13 ]
Sarto, Gloria [14 ]
Ockene, Judith [15 ]
Stefanick, Marcia L. [16 ]
Assaf, Annlouise [17 ]
Runswick, Shirley [4 ]
Prentice, Ross L. [1 ]
机构
[1] Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, Seattle, WA 98109 USA
[2] NIAID, Biostat Res Branch, Bethesda, MD 20892 USA
[3] Univ Wisconsin, Dept Nutr Sci, Madison, WI 53706 USA
[4] Univ Cambridge, Med Res Council Dunn Human Nutr Unit, Cambridge, England
[5] Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, Chicago, IL 60611 USA
[6] Univ Washington, Sch Publ Hlth & Community Med, Dept Epidemiol, Seattle, WA 98195 USA
[7] Kaiser Permanente, Div Res, Oakland, CA USA
[8] Univ Arizona, Coll Agr & Life Sci, Dept Nutr Sci, Tucson, AZ USA
[9] Univ Arizona, Arizona Canc Ctr, Div Prevent & Control, Tucson, AZ USA
[10] Univ Tennessee, Hlth Sci Ctr, Coll Med, Dept Prevent Med, Memphis, TN USA
[11] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Epidemiol, Pittsburgh, PA USA
[12] Univ N Carolina, Sch Publ Hlth, Dept Epidemiol, Chapel Hill, NC USA
[13] Portland State Univ, Coll Urban & Publ Affairs, Sch Community Hlth, Portland, OR 97207 USA
[14] Univ Wisconsin, Sch Med, Dept Obstet & Gynecol, Madison, WI USA
[15] Univ Massachusetts, Med Ctr, Dept Med, Worcester, MA USA
[16] Stanford Univ, Stanford Prevent Res Ctr, Palo Alto, CA 94304 USA
[17] Pfizer Inc, New York, NY USA
基金
英国医学研究理事会;
关键词
bias (epidemiology); biological markers; diet; energy intake; epidemiologic methods; measurement error; nutrition assessment; proteins;
D O I
10.1093/aje/kwn026
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:1247 / 1259
页数:13
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