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Grant Details

Grant Number: 5R01CA227122-04 Interpret this number
Primary Investigator: Evenson, Kelly
Organization: Univ Of North Carolina Chapel Hill
Project Title: Physical Activity, Sedentary Behavior, and Cancer Incidence in Women
Fiscal Year: 2022


Abstract In the United States in 2016, an estimated 600,000 people will die from cancer and 1.7 million new cases of cancer will be diagnosed. Considering the life span, almost 40% of women and men will be diagnosed with cancer at some point in their lifetime. Understanding amenable risk factors that contribute to this large public health burden is essential. Observational studies consistently indicate associations between self-reported physical activity and increased risk of many types of cancer, especially breast cancer. However, there is insufficient evidence regarding the amount, intensity, duration, and types of physical activity required to reduce cancer risk, especially for older women. Sedentary behavior may provide a more feasible intervention target, especially for older adults. However, even less is known about sedentary behavior and cancer risk. To date, no prospective studies have examined accelerometry-derived physical activity and sedentary behavior to risk of incident cancer outcomes. Advances have been made in new measurement methods by our team, but have not been applied to health outcomes to assess their value. In this application, we propose to assemble accelerometry-assessed physical activity and sedentary behavior and cancer incident events and deaths from two cohort studies of women: the Women's Health Study (WHS) and the Women's Health Initiative (WHI) Study. We will apply sophisticated, yet directly interpretable, methods to determine which physical activity and sedentary behavior features are most important for reducing cancer risk among more than 22,000 women 63 to 101 years of age. For both cohorts, one-week of accelerometry data were collected in a similar manner during 2011-2014. Follow-up of both cohorts for adjudicated cancer outcomes is planned through 2020 and likely beyond. We propose three aims. Aim 1 will apply novel and translational measures of accelerometry- assessed physical activity and sedentary behavior using latent class analysis, an activity index, and machine learning algorithms of raw accelerometry data for use in Aims 2 and 3. We will then investigate the association of accelerometry-assessed physical activity (Aim 2) and sedentary behavior (Aim 3) to overall and site-specific (e.g., breast, uterine, ovarian) incident and fatal cancer. This cost-efficient study will investigate in detail whether and how patterns of frequency, duration, intensity, bouts, and type of physical activity and sedentary behavior predict cancer outcomes. Identification of new cancer-protective patterns of physical activity and sedentary behavior will provide much-needed evidence to inform physical activity and sedentary behavior guidelines for disease prevention, can be used in interventions to reduce risk, and could revolutionize the monitoring of human responses in physical activity and sedentary behavior interventions.


A systematic scoping review of latent class analysis applied to accelerometry-assessed physical activity and sedentary behavior.
Authors: Kebede M. , Howard A.G. , Ren Y. , Anuskiewicz B. , Di C. , Troester M.A. , Evenson K.R. .
Source: PloS one, 2024; 19(1), p. e0283884.
EPub date: 2024-01-22.
PMID: 38252639
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Calibrating Physical Activity and Sedentary Behavior for Hip-Worn Accelerometry in Older Women With Two Epoch Lengths: The Women's Health Initiative Objective Physical Activity and Cardiovascular Health Calibration Study.
Authors: Evenson K.R. , Wen F. , Moore C.C. , LaMonte M.J. , Lee I.M. , LaCroix A.Z. , Di C. .
Source: Journal for the measurement of physical behaviour, 2023 Jun; 6(2), p. 156-161.
EPub date: 2023-05-09.
PMID: 38037607
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Robust functional principal component analysis via a functional pairwise spatial sign operator.
Authors: Wang G. , Liu S. , Han F. , Di C.Z. .
Source: Biometrics, 2023 Jun; 79(2), p. 1239-1253.
EPub date: 2022-06-07.
PMID: 35583919
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Accelerometer-measured physical activity and postmenopausal breast cancer incidence in the Women's Health Accelerometry Collaboration.
Authors: Hyde E.T. , LaCroix A.Z. , Evenson K.R. , Howard A.G. , Anuskiewicz B. , Di C. , Bellettiere J. , LaMonte M.J. , Manson J.E. , Buring J.E. , et al. .
Source: Cancer, 2023-05-15; 129(10), p. 1579-1590.
EPub date: 2023-02-22.
PMID: 36812131
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Association of Accelerometer-Measured Physical Activity and Sedentary Behavior With Incident Cardiovascular Disease, Myocardial Infarction, and Ischemic Stroke: The Women's Health Study.
Authors: Peter-Marske K.M. , Evenson K.R. , Moore C.C. , Cuthbertson C.C. , Howard A.G. , Shiroma E.J. , Buring J.E. , Lee I.M. .
Source: Journal of the American Heart Association, 2023-04-04; 12(7), p. e028180.
EPub date: 2023-03-28.
PMID: 36974744
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Paradox of occupational and leisure-time physical activity associations with cardiovascular disease.
Authors: Cuthbertson C.C. , Moore C.C. , Evenson K.R. .
Source: Heart (British Cardiac Society), 2023-01-02; , .
EPub date: 2023-01-02.
PMID: 36593098
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Maximizing the Utility and Comparability of Accelerometer Data from Large-Scale Epidemiologic Studies.
Authors: Lee I.M. , Moore C.C. , Evenson K.R. .
Source: Journal for the measurement of physical behaviour, 2023; 6(1), p. 6-12.
EPub date: 2023-01-11.
PMID: 37206661
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Calibration of an Accelerometer Activity Index among Older Women and Its Association with Cardiometabolic Risk Factors.
Authors: Wang G. , Wu S. , Evenson K.R. , Kang I. , LaMonte M.J. , Bellettiere J. , Lee I.M. , Howard A.G. , LaCroix A.Z. , Di C. .
Source: Journal for the measurement of physical behaviour, 2022 Sep; 5(3), p. 145-155.
EPub date: 2022-07-26.
PMID: 36504675
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Associations of Daily Steps and Step Intensity With Incident Diabetes in a Prospective Cohort Study of Older Women: The OPACH Study.
Authors: Garduno A.C. , LaCroix A.Z. , LaMonte M.J. , Dunstan D.W. , Evenson K.R. , Wang G. , Di C. , Schumacher B.T. , Bellettiere J. .
Source: Diabetes care, 2022-02-01; 45(2), p. 339-347.
PMID: 35050362
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Cohort profile: the Women's Health Accelerometry Collaboration.
Authors: Evenson K.R. , Bellettiere J. , Cuthbertson C.C. , Di C. , Dushkes R. , Howard A.G. , Parada H. , Schumacher B.T. , Shiroma E.J. , Wang G. , et al. .
Source: BMJ open, 2021-11-29; 11(11), p. e052038.
EPub date: 2021-11-29.
PMID: 34845070
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Systematic review of the prospective association of daily step counts with risk of mortality, cardiovascular disease, and dysglycemia.
Authors: Hall K.S. , Hyde E.T. , Bassett D.R. , Carlson S.A. , Carnethon M.R. , Ekelund U. , Evenson K.R. , Galuska D.A. , Kraus W.E. , Lee I.M. , et al. .
Source: The international journal of behavioral nutrition and physical activity, 2020-06-20; 17(1), p. 78.
EPub date: 2020-06-20.
PMID: 32563261
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Associations of accelerometer-measured physical activity and physical activity-related cancer incidence in older women: results from the WHI OPACH Study.
Authors: Parada H. , McDonald E. , Bellettiere J. , Evenson K.R. , LaMonte M.J. , LaCroix A.Z. .
Source: British journal of cancer, 2020 Apr; 122(9), p. 1409-1416.
EPub date: 2020-03-05.
PMID: 32139875
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