2.50
Hdl Handle:
http://hdl.handle.net/10755/165454
Category:
Abstract
Type:
Presentation
Title:
Physical Activity and Breast Cancer Risk Analysis
Author(s):
Drake, D.
Author Details:
D. Drake, University of California, San Francisco, California, USA
Abstract:
Physical fitness is inversely related to chronic disease morbidity and mortality. Because the cause of breast cancer is unknown, the identification and evaluation of suspected breast cancer risk factors is important to guide risk reduction behavior and to accurately identify individuals at high risk. Physical activity is a behavior that may impact breast cancer risk directly or by modulating other risk factors such as obesity, hormonal and menstrual patterns, or bio-molecular mechanisms not yet described. The Aerobics Center Longitudinal Study (ACLS) is an ongoing longitudinal dataset with a large number of women with and without breast cancer with quality measures of physical activity and physical fitness. Purpose: The purpose of this study is to compare models of breast cancer risk analysis, evaluating current genetic, behavioral and environmental risk factors and their analysis in mathematical and genetic models. Three research questions for this study are proposed: (1) do current genetic and mathematical models of breast cancer analysis predict breast cancer in the ACLS? (2) does physical activity predict breast cancer in the ACLS? (3) which risk factors best predict breast cancer in the ACLS? Theoretical/Scientific Framework: Pender’s model of health promotion served as the conceptual framework for the study. The model provides a basis for the evaluation of the health benefits of exercise and fitness. Methods: The study is a secondary analysis of an ongoing longitudinal survey. The design of the study is a non-experimental retrospective analysis. The study cohort are women in the ACLS with and without breast cancer. Tests of the validity of self-reported measurements of health parameters in the ACLS revealed a sensitivity of 98% and a specificity of 99%. All data including breast cancer risk factors are extracted by the ACLS data manager and provided in code. Approval for this study was granted by the UCSF committee for human research. Data Analysis: Univariate and descriptive statistics comparing women with and without breast cancer will be tested by exact and standard chi-square tests for binary and categorical variables, and by the student's t-test for continuous variables. Logistic regression of physical activity and fitness variables and breast cancer risk variables will be conducted. Extensive independent variables of physical activity and fitness will be evaluated for their ability to predict the dependent variable of breast cancer or not. Findings and Implications: The current data set is a cohort of 6,794 women with 321 incident cases of breast cancer. Extensive measures of physical fitness and activity and other known risk variables will be evaluated for breast cancer risk. A published report of the findings is planned for December, 2003.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2004
Conference Name:
29th Annual Oncology Nursing Society Congress
Conference Host:
Oncology Nursing Society
Conference Location:
Anaheim, California, USA
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titlePhysical Activity and Breast Cancer Risk Analysisen_GB
dc.contributor.authorDrake, D.en_US
dc.author.detailsD. Drake, University of California, San Francisco, California, USAen_US
dc.identifier.urihttp://hdl.handle.net/10755/165454-
dc.description.abstractPhysical fitness is inversely related to chronic disease morbidity and mortality. Because the cause of breast cancer is unknown, the identification and evaluation of suspected breast cancer risk factors is important to guide risk reduction behavior and to accurately identify individuals at high risk. Physical activity is a behavior that may impact breast cancer risk directly or by modulating other risk factors such as obesity, hormonal and menstrual patterns, or bio-molecular mechanisms not yet described. The Aerobics Center Longitudinal Study (ACLS) is an ongoing longitudinal dataset with a large number of women with and without breast cancer with quality measures of physical activity and physical fitness. Purpose: The purpose of this study is to compare models of breast cancer risk analysis, evaluating current genetic, behavioral and environmental risk factors and their analysis in mathematical and genetic models. Three research questions for this study are proposed: (1) do current genetic and mathematical models of breast cancer analysis predict breast cancer in the ACLS? (2) does physical activity predict breast cancer in the ACLS? (3) which risk factors best predict breast cancer in the ACLS? Theoretical/Scientific Framework: Pender’s model of health promotion served as the conceptual framework for the study. The model provides a basis for the evaluation of the health benefits of exercise and fitness. Methods: The study is a secondary analysis of an ongoing longitudinal survey. The design of the study is a non-experimental retrospective analysis. The study cohort are women in the ACLS with and without breast cancer. Tests of the validity of self-reported measurements of health parameters in the ACLS revealed a sensitivity of 98% and a specificity of 99%. All data including breast cancer risk factors are extracted by the ACLS data manager and provided in code. Approval for this study was granted by the UCSF committee for human research. Data Analysis: Univariate and descriptive statistics comparing women with and without breast cancer will be tested by exact and standard chi-square tests for binary and categorical variables, and by the student's t-test for continuous variables. Logistic regression of physical activity and fitness variables and breast cancer risk variables will be conducted. Extensive independent variables of physical activity and fitness will be evaluated for their ability to predict the dependent variable of breast cancer or not. Findings and Implications: The current data set is a cohort of 6,794 women with 321 incident cases of breast cancer. Extensive measures of physical fitness and activity and other known risk variables will be evaluated for breast cancer risk. A published report of the findings is planned for December, 2003.en_GB
dc.date.available2011-10-27T12:18:50Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T12:18:50Z-
dc.conference.date2004en_US
dc.conference.name29th Annual Oncology Nursing Society Congressen_US
dc.conference.hostOncology Nursing Societyen_US
dc.conference.locationAnaheim, California, USAen_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
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