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Using mixed effects models to compare differences in stress reactivity between women with and without a family history of breast cancer

Smith, Clair (2017) Using mixed effects models to compare differences in stress reactivity between women with and without a family history of breast cancer. Master's Thesis, University of Pittsburgh. (Unpublished)

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Abstract

Breast cancer is the leading cause of cancer death in women and affects hundreds of thousands of women and their families yearly in the United States. Having a family history of breast cancer is one of the strongest predictors of developing the disease. Previous studies have found evidence that women with a family history of breast cancer have excessive worry and intrusive thoughts about developing the disease and may react differently to stress than women who do not have a family history of breast cancer. This study uses the novel approach of measuring the activity of the autonomic nervous system to compare stress reactivity between women with and without a family history of breast cancer.
Eighty-two women with a family history of breast cancer and 140 women without a family history of breast cancer who were otherwise healthy underwent a laboratory stress test. During the test, their heart rate variability was measured as a proxy for the activity of the autonomic nervous system. Repeated measures of heart rate variability were taken at baseline, the three tasks of the stress test, and during a recovery period. The reactivity of the two groups throughout the test were compared using a mixed effects ANCOVA model. One of nine heart rate variability measures showed significant group differences. During the stress test, women with a family history of breast cancer had significantly higher levels of parasympathetic activity than women without a family history of breast cancer.
Public Health Significance: The results of this study can be used to further our understanding of the effects of having a family history of breast cancer.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Smith, Claircns45@pitt.educns45
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Thesis AdvisorKrafty, Robertrkrafty@pitt.edurkrafty
Committee MemberYouk, Adaayouk@pitt.eduayouk
Committee MemberBovbjerg, Danabovbjergdh@upmc.edu
Date: 29 June 2017
Date Type: Publication
Defense Date: 25 January 2017
Approval Date: 29 June 2017
Submission Date: 8 March 2017
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 58
Institution: University of Pittsburgh
Schools and Programs: School of Public Health > Biostatistics
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Heart Rate Variability
Date Deposited: 29 Jun 2017 23:33
Last Modified: 29 Jun 2017 23:33
URI: http://d-scholarship.pitt.edu/id/eprint/30946

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