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Grant Details

Grant Number: 5R01CA119171-12 Interpret this number
Primary Investigator: Neuhouser, Marian
Organization: Fred Hutchinson Cancer Research Center
Project Title: Nutrition and Physical Activity Assessment Study (NPAAS)
Fiscal Year: 2019
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Abstract

? DESCRIPTION (provided by applicant): This competing renewal of CA119171, "Nutrition and Physical Activity Assessment Study" (NPAAS), continues to focus the use of biomarkers and regression calibration models to understand better the relationship between diet, physical activity and chronic disease risk in postmenopausal women. Our work uses objective biomarkers in regression calibration models to correct self-report data for random and systematic measurement biases. This work has provided evidence for strong positive associations of energy intake, and strong inverse associations of activity-related energy expenditure (AREE), with chronic disease risk; these associations were absent without measurement error correction. To date, suitable quantitative biomarkers have been available for few diet components (e.g. total energy, protein, potassium, sodium) and physical activity (AREE). For this grant funding period, we will extend our work by using innovative metabolomics profiling in blood and urine specimens to characterize food and nutrient intake. Metabolomics offers the possibility to advance the field of nutritional epidemiology in a manner not been possible with individual biomarkers since metabolomics uniquely accounts for dietary exposures in an integrated manner and explains > 50% of the variation in nutrient intake. Our specific aims are: (1) To obtain serum and 24-hour urine metabolomic profiles for n=450 WHI-NPAAS participants who have stored blood and urine specimens from a previous project cycle. To use these profiles to calculate intake values for each nutritional variable for which a biomarker is established in our recently completed NPAAS feeding study. To use the resulting biomarker-based intake values to develop calibration equations for each nutritional variable using previously collected food frequency questionnaire, 4-day food record and 24-hour dietary recalls, as well as participant characteristics, from these 450 women. (2) To use the calibration equations developed in Aim 1 to estimate intake throughout WHI cohorts for each nutritional variable with suitable biomarkers. To conduct a series of analyses examining the association of metabolomics- calibrated nutrient intake with risk of major cancers, cardiovascular diseases and diabetes in WHI cohorts, where self-reported dietary intake and other key data are available at baseline for 161,000 postmenopausal women. (3) To use serum and spot urine metabolomic profiles to directly estimate intake for each nutritional variable having a suitable biomarker, in subset of about 12,000 WHI women with both stored blood and urine. Profiles will be obtained for n=708 adjudicated cancers (breast, colorectal, ovarian and endometrial) and n=708 controls. These analyses will assess novel nutrition and metabolite cancer associations without use of dietary self-report data. (4) To examine blood- and urine-based metabolomic profiles more broadly in relation to cancer risk in the Aim 3 case-control sample without regard to the role of specific metabolites in nutrient biomarker specification. Our highly productive research team is expected to make additional, innovative contributions in nutritional epidemiology and more broadly in chronic disease prevention research.

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Publications

Serum Nitrogen and Carbon Stable Isotope Ratios Meet Biomarker Criteria for Fish and Animal Protein Intake in a Controlled Feeding Study of a Women's Health Initiative Cohort.
Authors: Yun H.Y. , Lampe J.W. , Tinker L.F. , Neuhouser M.L. , Beresford S.A.A. , Niles K.R. , Mossavar-Rahmani Y. , Snetselaar L.G. , Van Horn L. , Prentice R.L. , et al. .
Source: The Journal Of Nutrition, 2018-09-17 00:00:00.0; , .
EPub date: 2018-09-17 00:00:00.0.
PMID: 30239866
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The importance of healthy dietary patterns in chronic disease prevention.
Authors: Neuhouser M.L. .
Source: Nutrition Research (new York, N.y.), 2018-07-10 00:00:00.0; , .
EPub date: 2018-07-10 00:00:00.0.
PMID: 30077352
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Combining a Food Frequency Questionnaire With 24-Hour Recalls to Increase the Precision of Estimating Usual Dietary Intakes - Evidence From the Validation Studies Pooling Project.
Authors: Freedman L.S. , Midthune D. , Arab L. , Prentice R.L. , Subar A.F. , Willett W. , Neuhouser M.L. , Tinker L.F. , Kipnis V. .
Source: American Journal Of Epidemiology, 2018-06-18 00:00:00.0; , .
EPub date: 2018-06-18 00:00:00.0.
PMID: 29917051
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Biomarker-Calibrated Total Sugars Intake and Risk of Type 2 Diabetes and Cardiovascular Disease in the Women's Health Initiative Observational Study.
Authors: Tasevska N. , Pettinger M. , Kipnis V. , Midthune D. , Tinker L.F. , Potischman N. , Neuhouser M.L. , Beasley J.M. , Van Horn L. , Howard B.V. , et al. .
Source: American Journal Of Epidemiology, 2018-06-04 00:00:00.0; , .
EPub date: 2018-06-04 00:00:00.0.
PMID: 29868784
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Associations of fats and carbohydrates with cardiovascular disease and mortality-PURE and simple?
Authors: Rossouw J.E. , Prentice R.L. .
Source: Lancet (london, England), 2018-04-28 00:00:00.0; 391(10131), p. 1677.
EPub date: 2018-04-26 00:00:00.0.
PMID: 29726336
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BIOMARKER CALIBRATED SODIUM AND POTASSIUM INTAKE AND CARDIOVASCULAR DISEASE RISK AMONG POSTMENOPAUSAL WOMEN.
Authors: Prentice R.L. , Huang Y. , Neuhouser M.L. , Manson J.E. , Mossavar-Rahmani Y. , Thomas F. , Tinker L.F. , Allison M. , Johnson K.C. , Wassertheil-Smoller S. , et al. .
Source: American Journal Of Epidemiology, 2017-06-14 00:00:00.0; , .
EPub date: 2017-06-14 00:00:00.0.
PMID: 28633342
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Response to Invitation to Submit a Reply to CommentaryAJE-00463-2017 - Can estimation of sodium intake be improved by borrowing information from other variables?Tied to: AJE-00876-2016.R4 - BIOMARKER CALIBRATED SODIUM AND POTASSIUM INTAKE AND CARDIOVASCULAR DISEASE RISK AMONG POSTMENOPAUSAL WOMEN.
Authors: Prentice R.L. , Huang Y. , Neuhouser M.L. , Tinker L.F. , Van Horn L. .
Source: American Journal Of Epidemiology, 2017-06-14 00:00:00.0; , .
EPub date: 2017-06-14 00:00:00.0.
PMID: 28633415
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Dietary long-chain fatty acids and carbohydrate biomarker evaluation in a controlled feeding study in participants from the Women's Health Initiative cohort.
Authors: Song X. , Huang Y. , Neuhouser M.L. , Tinker L.F. , Vitolins M.Z. , Prentice R.L. , Lampe J.W. .
Source: The American Journal Of Clinical Nutrition, 2017 Jun; 105(6), p. 1272-1282.
EPub date: 2017-04-26 00:00:00.0.
PMID: 28446501
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Branched-chain amino acid, meat intake and risk of type 2 diabetes in the Women's Health Initiative.
Authors: Isanejad M. , LaCroix A.Z. , Thomson C.A. , Tinker L. , Larson J.C. , Qi Q. , Qi L. , Cooper-DeHoff R.M. , Phillips L.S. , Prentice R.L. , et al. .
Source: The British Journal Of Nutrition, 2017 Jun; 117(11), p. 1523-1530.
PMID: 28721839
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Evaluation of the 24-Hour Recall as a Reference Instrument for Calibrating Other Self-Report Instruments in Nutritional Cohort Studies: Evidence From the Validation Studies Pooling Project.
Authors: Freedman L.S. , Commins J.M. , Willett W. , Tinker L.F. , Spiegelman D. , Rhodes D. , Potischman N. , Neuhouser M.L. , Moshfegh A.J. , Kipnis V. , et al. .
Source: American Journal Of Epidemiology, 2017-04-10 00:00:00.0; , p. 1-10.
EPub date: 2017-04-10 00:00:00.0.
PMID: 28402488
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Dietary biomarker evaluation in a controlled feeding study in women from the Women's Health Initiative cohort.
Authors: Lampe J.W. , Huang Y. , Neuhouser M.L. , Tinker L.F. , Song X. , Schoeller D.A. , Kim S. , Raftery D. , Di C. , Zheng C. , et al. .
Source: The American Journal Of Clinical Nutrition, 2017 Feb; 105(2), p. 466-475.
EPub date: 2016-12-28 00:00:00.0.
PMID: 28031191
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Options for basing Dietary Reference Intakes (DRIs) on chronic disease endpoints: report from a joint US-/Canadian-sponsored working group.
Authors: Yetley E.A. , MacFarlane A.J. , Greene-Finestone L.S. , Garza C. , Ard J.D. , Atkinson S.A. , Bier D.M. , Carriquiry A.L. , Harlan W.R. , Hattis D. , et al. .
Source: The American Journal Of Clinical Nutrition, 2017 Jan; 105(1), p. 249S-285S.
EPub date: 2016-12-07 00:00:00.0.
PMID: 27927637
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Sodium Intake and Osteoporosis. Findings From the Women's Health Initiative.
Authors: Carbone L. , Johnson K.C. , Huang Y. , Pettinger M. , Thomas F. , Cauley J. , Crandall C. , Tinker L. , LeBoff M.S. , Wactawski-Wende J. , et al. .
Source: The Journal Of Clinical Endocrinology And Metabolism, 2016 Apr; 101(4), p. 1414-21.
PMID: 26863423
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Addressing Current Criticism Regarding the Value of Self-Report Dietary Data.
Authors: Subar A.F. , Freedman L.S. , Tooze J.A. , Kirkpatrick S.I. , Boushey C. , Neuhouser M.L. , Thompson F.E. , Potischman N. , Guenther P.M. , Tarasuk V. , et al. .
Source: The Journal Of Nutrition, 2015 Dec; 145(12), p. 2639-45.
PMID: 26468491
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Application of a New Statistical Model for Measurement Error to the Evaluation of Dietary Self-report Instruments.
Authors: Freedman L.S. , Midthune D. , Carroll R.J. , Commins J.M. , Arab L. , Baer D.J. , Moler J.E. , Moshfegh A.J. , Neuhouser M.L. , Prentice R.L. , et al. .
Source: Epidemiology (cambridge, Mass.), 2015 Nov; 26(6), p. 925-33.
PMID: 26360372
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Reply to E Archer and SN Blair.
Authors: Freedman L.S. , Carroll R.J. , Neuhouser M.L. , Prentice R.L. , Spiegelman D. , Subar A.F. , Tinker L.F. , Willett W. .
Source: Advances In Nutrition (bethesda, Md.), 2015 Jul; 6(4), p. 489.
PMID: 26178033
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Applying Recovery Biomarkers to Calibrate Self-Report Measures of Energy and Protein in the Hispanic Community Health Study/Study of Latinos.
Authors: Mossavar-Rahmani Y. , Shaw P.A. , Wong W.W. , Sotres-Alvarez D. , Gellman M.D. , Van Horn L. , Stoutenberg M. , Daviglus M.L. , Wylie-Rosett J. , Siega-Riz A.M. , et al. .
Source: American Journal Of Epidemiology, 2015-06-15 00:00:00.0; 181(12), p. 996-1007.
EPub date: 2015-06-15 00:00:00.0.
PMID: 25995289
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Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake.
Authors: Freedman L.S. , Commins J.M. , Moler J.E. , Willett W. , Tinker L.F. , Subar A.F. , Spiegelman D. , Rhodes D. , Potischman N. , Neuhouser M.L. , et al. .
Source: American Journal Of Epidemiology, 2015-04-01 00:00:00.0; 181(7), p. 473-87.
EPub date: 2015-04-01 00:00:00.0.
PMID: 25787264
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Use of a urinary sugars biomarker to assess measurement error in self-reported sugars intake in the nutrition and physical activity assessment study (NPAAS).
Authors: Tasevska N. , Midthune D. , Tinker L.F. , Potischman N. , Lampe J.W. , Neuhouser M.L. , Beasley J.M. , Van Horn L. , Prentice R.L. , Kipnis V. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2014 Dec; 23(12), p. 2874-83.
PMID: 25234237
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Postmenopausal hormone therapy and the risks of coronary heart disease, breast cancer, and stroke.
Authors: Prentice R.L. .
Source: Seminars In Reproductive Medicine, 2014 Nov; 32(6), p. 419-25.
PMID: 25321418
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Simultaneous association of total energy consumption and activity-related energy expenditure with risks of cardiovascular disease, cancer, and diabetes among postmenopausal women.
Authors: Zheng C. , Beresford S.A. , Van Horn L. , Tinker L.F. , Thomson C.A. , Neuhouser M.L. , Di C. , Manson J.E. , Mossavar-Rahmani Y. , Seguin R. , et al. .
Source: American Journal Of Epidemiology, 2014-09-01 00:00:00.0; 180(5), p. 526-35.
EPub date: 2014-09-01 00:00:00.0.
PMID: 25016533
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Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake.
Authors: Freedman L.S. , Commins J.M. , Moler J.E. , Arab L. , Baer D.J. , Kipnis V. , Midthune D. , Moshfegh A.J. , Neuhouser M.L. , Prentice R.L. , et al. .
Source: American Journal Of Epidemiology, 2014-07-15 00:00:00.0; 180(2), p. 172-88.
EPub date: 2014-07-15 00:00:00.0.
PMID: 24918187
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Biomarker-calibrated protein intake and bone health in the Women's Health Initiative clinical trials and observational study.
Authors: Beasley J.M. , LaCroix A.Z. , Larson J.C. , Huang Y. , Neuhouser M.L. , Tinker L.F. , Jackson R. , Snetselaar L. , Johnson K.C. , Eaton C.B. , et al. .
Source: The American Journal Of Clinical Nutrition, 2014 Apr; 99(4), p. 934-40.
PMID: 24552750
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Associations of serum insulin-like growth factor-I and insulin-like growth factor-binding protein 3 levels with biomarker-calibrated protein, dairy product and milk intake in the Women's Health Initiative.
Authors: Beasley J.M. , Gunter M.J. , LaCroix A.Z. , Prentice R.L. , Neuhouser M.L. , Tinker L.F. , Vitolins M.Z. , Strickler H.D. .
Source: The British Journal Of Nutrition, 2014-03-14 00:00:00.0; 111(5), p. 847-53.
EPub date: 2014-03-14 00:00:00.0.
PMID: 24094144
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Measurement error corrected sodium and potassium intake estimation using 24-hour urinary excretion.
Authors: Huang Y. , Van Horn L. , Tinker L.F. , Neuhouser M.L. , Carbone L. , Mossavar-Rahmani Y. , Thomas F. , Prentice R.L. .
Source: Hypertension, 2014 Feb; 63(2), p. 238-44.
PMID: 24277763
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Regression calibration in nutritional epidemiology: example of fat density and total energy in relationship to postmenopausal breast cancer.
Authors: Prentice R.L. , Pettinger M. , Tinker L.F. , Huang Y. , Thomson C.A. , Johnson K.C. , Beasley J. , Anderson G. , Shikany J.M. , Chlebowski R.T. , et al. .
Source: American Journal Of Epidemiology, 2013-12-01 00:00:00.0; 178(11), p. 1663-72.
EPub date: 2013-12-01 00:00:00.0.
PMID: 24064741
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An exploratory study of respiratory quotient calibration and association with postmenopausal breast cancer.
Authors: Prentice R.L. , Neuhouser M.L. , Tinker L.F. , Pettinger M. , Thomson C.A. , Mossavar-Rahmani Y. , Thomas F. , Qi L. , Huang Y. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2013 Dec; 22(12), p. 2374-83.
PMID: 24108790
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Biomarker-calibrated protein intake and physical function in the Women's Health Initiative.
Authors: Beasley J.M. , Wertheim B.C. , LaCroix A.Z. , Prentice R.L. , Neuhouser M.L. , Tinker L.F. , Kritchevsky S. , Shikany J.M. , Eaton C. , Chen Z. , et al. .
Source: Journal Of The American Geriatrics Society, 2013 Nov; 61(11), p. 1863-71.
PMID: 24219187
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Calibration of self-reported dietary measures using biomarkers: an approach to enhancing nutritional epidemiology reliability.
Authors: Prentice R.L. , Tinker L.F. , Huang Y. , Neuhouser M.L. .
Source: Current Atherosclerosis Reports, 2013 Sep; 15(9), p. 353.
PMID: 23881548
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Factors relating to eating style, social desirability, body image and eating meals at home increase the precision of calibration equations correcting self-report measures of diet using recovery biomarkers: findings from the Women's Health Initiative.
Authors: Mossavar-Rahmani Y. , Tinker L.F. , Huang Y. , Neuhouser M.L. , McCann S.E. , Seguin R.A. , Vitolins M.Z. , Curb J.D. , Prentice R.L. .
Source: Nutrition Journal, 2013-05-16 00:00:00.0; 12, p. 63.
EPub date: 2013-05-16 00:00:00.0.
PMID: 23679960
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Physical activity assessment: biomarkers and self-report of activity-related energy expenditure in the WHI.
Authors: Neuhouser M.L. , Di C. , Tinker L.F. , Thomson C. , Sternfeld B. , Mossavar-Rahmani Y. , Stefanick M.L. , Sims S. , Curb J.D. , Lamonte M. , et al. .
Source: American Journal Of Epidemiology, 2013-03-15 00:00:00.0; 177(6), p. 576-85.
EPub date: 2013-03-15 00:00:00.0.
PMID: 23436896
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Health risks and benefits from calcium and vitamin D supplementation: Women's Health Initiative clinical trial and cohort study.
Authors: Prentice R.L. , Pettinger M.B. , Jackson R.D. , Wactawski-Wende J. , Lacroix A.Z. , Anderson G.L. , Chlebowski R.T. , Manson J.E. , Van Horn L. , Vitolins M.Z. , et al. .
Source: Osteoporosis International : A Journal Established As Result Of Cooperation Between The European Foundation For Osteoporosis And The National Osteoporosis Foundation Of The Usa, 2013 Feb; 24(2), p. 567-80.
PMID: 23208074
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Hazard ratio estimation for biomarker-calibrated dietary exposures.
Authors: Shaw P.A. , Prentice R.L. .
Source: Biometrics, 2012 Jun; 68(2), p. 397-407.
PMID: 22004367
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Biomarker-calibrated dietary energy and protein intake associations with diabetes risk among postmenopausal women from the Women's Health Initiative.
Authors: Tinker L.F. , Sarto G.E. , Howard B.V. , Huang Y. , Neuhouser M.L. , Mossavar-Rahmani Y. , Beasley J.M. , Margolis K.L. , Eaton C.B. , Phillips L.S. , et al. .
Source: The American Journal Of Clinical Nutrition, 2011 Dec; 94(6), p. 1600-6.
PMID: 22071707
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Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers.
Authors: Prentice R.L. , Mossavar-Rahmani Y. , Huang Y. , Van Horn L. , Beresford S.A. , Caan B. , Tinker L. , Schoeller D. , Bingham S. , Eaton C.B. , et al. .
Source: American Journal Of Epidemiology, 2011-09-01 00:00:00.0; 174(5), p. 591-603.
EPub date: 2011-09-01 00:00:00.0.
PMID: 21765003
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Measurement error modeling and nutritional epidemiology association analyses.
Authors: Prentice R.L. , Huang Y. .
Source: The Canadian Journal Of Statistics = Revue Canadienne De Statistique, 2011-09-01 00:00:00.0; 39(3), p. 498-509.
PMID: 23606784
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Higher biomarker-calibrated protein intake is not associated with impaired renal function in postmenopausal women.
Authors: Beasley J.M. , Aragaki A.K. , LaCroix A.Z. , Neuhouser M.L. , Tinker L.F. , Cauley J.A. , Ensrud K.E. , Jackson R.D. , Prentice R.L. .
Source: The Journal Of Nutrition, 2011 Aug; 141(8), p. 1502-7.
PMID: 21653574
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Biomarker-calibrated energy and protein consumption and cardiovascular disease risk among postmenopausal women.
Authors: Prentice R.L. , Huang Y. , Kuller L.H. , Tinker L.F. , Horn L.V. , Stefanick M.L. , Sarto G. , Ockene J. , Johnson K.C. .
Source: Epidemiology (cambridge, Mass.), 2011 Mar; 22(2), p. 170-9.
PMID: 21206366
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Protein intake and incident frailty in the Women's Health Initiative observational study.
Authors: Beasley J.M. , LaCroix A.Z. , Neuhouser M.L. , Huang Y. , Tinker L. , Woods N. , Michael Y. , Curb J.D. , Prentice R.L. .
Source: Journal Of The American Geriatrics Society, 2010 Jun; 58(6), p. 1063-71.
PMID: 20487071
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Dietary assessment and the reliability of nutritional epidemiology research reports.
Authors: Prentice R.L. .
Source: Journal Of The National Cancer Institute, 2010-05-05 00:00:00.0; 102(9), p. 583-5.
EPub date: 2010-05-05 00:00:00.0.
PMID: 20407089
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Statistical Aspects of the Use of Biomarkers in Nutritional Epidemiology Research.
Authors: Prentice R.L. , Huang Y. , Tinker L.F. , Beresford S.A. , Lampe J.W. , Neuhouser M.L. .
Source: Statistics In Biosciences, 2009-05-01 00:00:00.0; 1(1), p. 112-123.
PMID: 19841649
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Biomarker-calibrated energy and protein consumption and increased cancer risk among postmenopausal women.
Authors: Prentice R.L. , Shaw P.A. , Bingham S.A. , Beresford S.A. , Caan B. , Neuhouser M.L. , Patterson R.E. , Stefanick M.L. , Satterfield S. , Thomson C.A. , et al. .
Source: American Journal Of Epidemiology, 2009-04-15 00:00:00.0; 169(8), p. 977-89.
EPub date: 2009-04-15 00:00:00.0.
PMID: 19258487
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Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative.
Authors: Neuhouser M.L. , Tinker L. , Shaw P.A. , Schoeller D. , Bingham S.A. , Horn L.V. , Beresford S.A. , Caan B. , Thomson C. , Satterfield S. , et al. .
Source: American Journal Of Epidemiology, 2008-05-15 00:00:00.0; 167(10), p. 1247-59.
EPub date: 2008-05-15 00:00:00.0.
PMID: 18344516
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The women's health initiative: lessons learned.
Authors: Prentice R.L. , Anderson G.L. .
Source: Annual Review Of Public Health, 2008; 29, p. 131-50.
PMID: 18348708
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