A Statewide Analysis of Health Care with Respect to Behavioral Risk Factors

Presenter Information

Tanya Little

Document Type

Oral Presentation

Campus where you would like to present

SURC 135

Start Date

17-5-2012

End Date

17-5-2012

Abstract

Behavioral Risk Factor Surveillance System, or BRFSS, is an annual survey executed by the Center for Disease Control and Prevention, all across America. The BRFSS is the largest continuously conducted telephone health survey in the world. The information summarized by the variables collected in this survey is vital for health agencies to monitor risk factors for chronic diseases, as well as to learn more about health care in communities across the States. This study involves the use of the BRFSS data to analyze differences among Kittitas County residents and the rest of Washington State. The analysis presents interesting results that could be helpful to health care providers in these communities, as well as to individuals that live within them. We use various statistical methods, including ANOVA, to compare Kittitas County health data to other communities within the state in order to better understand Kittitas County population. The results will also be shared with the Kittitas County Health Department, as it reveals new information about its residents.

Faculty Mentor(s)

Dominic Klyve

Additional Mentoring Department

Mathematics

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May 17th, 1:10 PM May 17th, 1:30 PM

A Statewide Analysis of Health Care with Respect to Behavioral Risk Factors

SURC 135

Behavioral Risk Factor Surveillance System, or BRFSS, is an annual survey executed by the Center for Disease Control and Prevention, all across America. The BRFSS is the largest continuously conducted telephone health survey in the world. The information summarized by the variables collected in this survey is vital for health agencies to monitor risk factors for chronic diseases, as well as to learn more about health care in communities across the States. This study involves the use of the BRFSS data to analyze differences among Kittitas County residents and the rest of Washington State. The analysis presents interesting results that could be helpful to health care providers in these communities, as well as to individuals that live within them. We use various statistical methods, including ANOVA, to compare Kittitas County health data to other communities within the state in order to better understand Kittitas County population. The results will also be shared with the Kittitas County Health Department, as it reveals new information about its residents.