Biomarker-calibrated energy and protein consumption and increased cancer risk among postmenopausal women

American Journal of Epidemiology

Volumn 169, Issue 8, 2009, Pages 977-989

  Prentice, Ross L ^a   Shaw, Pamela A ^b   Bingham, Sheila A ^c   Beresford, Shirley A A ^d   Caan, Bette ^e   Neuhouser, Marian L ^a   Patterson, Ruth E ^a   Stefanick, Marcia L ^f   Satterfield, Suzanne ^g   Thomson, Cynthia A ^h   Snetselaar, Linda ⁱ   Thomas, Asha ^j,k   Tinker, Lesley F ^a  

^a Fred Hutchinson Cancer Research Center   (United States)

^b NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES   (United States)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d UNIVERSITY OF WASHINGTON   (United States)

^e DIVISION OF RESEARCH   (United States)

^f STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g UNIVERSITY OF TENNESSEE HEALTH SCIENCE CENTER   (United States)

^h UNIVERSITY OF ARIZONA   (United States)

ⁱ UNIVERSITY OF IOWA   (United States)

^j MEDSTAR RESEARCH INSTITUTE   (United States)

^k JOHNS HOPKINS UNIVERSITY   (United States)

more..

Author keywords

Bias (epidemiology); Biological markers; Diet; Energy intake; Epidemiologic methods; Neoplasms; Nutrition assessment; Proteins

Indexed keywords

BIOLOGICAL MARKER; TUMOR MARKER;

BIOMARKER; BODY MASS; CANCER; COHORT ANALYSIS; DIET; EPIDEMIOLOGY; HEALTH RISK; NUTRITION; PROTEIN; WOMENS HEALTH;

ADULT; AGED; ARTICLE; BODY MASS; BREAST CANCER; CALORIC INTAKE; CANCER INCIDENCE; CANCER RISK; COLON CANCER; CONTROLLED STUDY; ENDOMETRIUM CANCER; ENERGY CONSUMPTION; FEMALE; FOOD FREQUENCY QUESTIONNAIRE; HUMAN; KIDNEY CANCER; LIFESTYLE MODIFICATION; MAJOR CLINICAL STUDY; MATHEMATICAL ANALYSIS; NEOPLASM; NUTRITIONAL ASSESSMENT; POSTMENOPAUSE; PROTEIN INTAKE; WOMEN'S HEALTH; CLASSIFICATION; FEEDING BEHAVIOR; INCIDENCE; LIFESTYLE; METABOLISM; MIDDLE AGED; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT;

AGED; DIETARY PROTEINS; ENERGY INTAKE; FEMALE; FOOD HABITS; HUMANS; INCIDENCE; LIFE STYLE; MIDDLE AGED; NEOPLASMS; NUTRITION ASSESSMENT; POSTMENOPAUSE; PROPORTIONAL HAZARDS MODELS; RISK ASSESSMENT; TUMOR MARKERS, BIOLOGICAL;

EID: 63649161737     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwp008     Document Type: Article

References (26)

1. Armstrong B, Doll R. Environmental factors and cancer incidence and mortality in different countries, with special reference to dietary practices. Int J Cancer. 1975;15(4):617-631.
2. Kritchevsky D, Klurfeld DM. Influence of caloric intake on experimental carcinogenesis: a review. Adv Exp Med Biol. 1986;206:55-68.
3. Freedman LS, Clifford C, Messina M. Analysis of dietary fat, calories, body weight, and the development of mammary tumors in rats and mice: a review. Cancer Res. 1990;50(18): 5710-5719.
4. Willett WC, Sampson L, Stampfer MJ, et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol. 1985;122(1):51-65.
5. Schoeller DA. Recent advances from application of doubly-labeled water to measurement of human energy expenditure. J Nutr. 1999;129(10):1765-1768.
6. Heitmann BL, Lissner L. Dietary underreporting by obese individuals - is it specific or non-specific? BMJ. 1995; 311(7011):986-989.
7. World Cancer Research Fund/American Institute for Cancer Research. Food, Nutrition and the Prevention of Cancer: A Global Perspective. Washington, DC: American Institute for Cancer Research; 1997.
8. World Cancer Research Fund/American Institute for Cancer Research. Food, Nutrition, Physical Activity, and the Prevention of Cancer: A Global Perspective. Washington, DC: American Institute for Cancer Research; 2007.
9. Bingham SA. Urine nitrogen as a biomarker for the validation of dietary protein intake. J Nutr. 2003;133(suppl 3):921S-924S.
10. Prentice RL, Sugar E, Wang CY, et al. Research strategies and the use of nutrient biomarkers in studies of diet and chronic disease. Public Health Nutr. 2002;5(6A):977-984.
11. Sugar EA, Wang CY, Prentice RL. Logistic regression with exposure biomarkers and flexible measurement error. Biometrics. 2007;63(1):143-151.
12. Neuhouser ML, Tinker L, Shaw PA, et al. Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative. Am J Epidemiol. 2008; 167(10):1247-1259.
13. Women's Health Initiative Study Group. Design of the Women's Health Initiative clinical trial and observational study. Control Clin Trials. 1998;19(1):61-109.
14. Women's Health Initiative Study Group. Dietary adherence in the Women's Health Initiative dietary modification trial. J Am Diet Assoc. 2004;104(4):654-658.
15. Prentice RL, Caan B, Chlebowski RT, et al. Low-fat dietary pattern and risk of invasive breast cancer: the Women's Health Initiative randomized controlled dietary modification trial. JAMA. 2006;295(6):629-642.
16. Beresford SA, Johnson KC, Ritenbaugh C, et al. Low-fat dietary pattern and risk of colorectal cancer: the Women's Health Initiative randomized controlled dietary modification trial. JAMA. 2006;295(6):643-654.
17. Howard BV, Van Horn L, Hsia J, et al. Low-fat dietary pattern and risk of cardiovascular disease: the Women's Health Initiative randomized controlled dietary modification trial. JAMA. 2006;295(6):655-666.
18. Prentice RL, Thomson CA, Caan B, et al. Low-fat dietary pattern and cancer incidence in the Women' s Health Initiative dietary modification randomized controlled trial. J Natl Cancer Inst. 2007;99(20):1534-1543.
19. Hays J, Hunt JR, Hubbell FA, et al. The Women's Health Initiative recruitment methods and results. Ann Epidemiol. 2003;13(9 suppl):S18-S77.
20. Langer RD, White E, Lewis CE, et al. The Women's Health Initiative Observational Study: baseline characteristics of participants and reliability of baseline measures. Ann Epidemiol. 2003;13(9 suppl):S107-S121.
21. Kristal AK, Shattuck AL, Williams ME. Food frequency questionnaires for diet intervention research. In: 17th National Nutrient Databank Conference Proceedings. Baltimore, MD: International Life Sciences Institute; 1992:110-125.
22. Schakel SF, Buzzard IM, Gebhardt SE. Procedures for estimating nutrient values for food composition databases. J Food Compost Anal. 1997;10(2):102-114.
23. Curb JD, McTiernan A, Heckbert SR, et al. Outcomes ascertainment and adjudication methods in the Women's Health Initiative. Ann Epidemiol. 2003;13(9 suppl):S122-S128.
24. Cox DR. Regression analysis and life tables (with discussion). J R Stat Soc (B). 1972;34:187-220.
25. Subar AF, Kipnis V, Troiano RP, et al. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol. 2003;158(1):1-13.
26. Kipnis V, Subar AF, Midthune D, et al. Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol. 2003;158(1):14-21; discussion 22-26.