212134 Tuberculosis in Tennessee At Risk Populations

Monday, November 9, 2009

Sarwat Ajmal, MBBS , School of Graduate Studies, Meharry Medical College, Nashville, TN
Alisa R. Haushalter, DNP, RN , Director of Population Health, Metro Public Health Department, Nashville, TN
Chau-Kuang Chen, EDD , Institutional Research, Meharry Medical College, Nashville, TN

Tuberculosis (TB) is among the top 10 causes of world illness, death, disability, and years of potential life lost overall(WHO 2001)

Approximately two million TB- related deaths are reported worldwide (CDC)

In 2007, a 16 % decrease in TB case rate was recorded in state of Tennessee (TN). However, in Davidson County, the rates still remain double over the state and national rates. The purpose of this study is to identify high risk populations in TN so that educational and environmental policy changes can be implemented to decrease the TB rate in Davidson and other state counties.


The most current data on all 95 TN counties (2007) was collected from US Census Bureau and TN Institute of Public Health.

Dependent variables: TB cases /100,000

Independent variables: Race, gender, smoking prevalence, high school graduates, STD cases/100,000, diabetes, unemployed and uninsured.

Statistical Model: Linear regression analysis was used to establish the relationship between TB and independent variables. Model assumptions were closely verified and model fitting was assessed. Variables with the problem of collinearity were omitted to get a better model.

Conclusion: This empirical study found the modeling fitting was moderate with R squared value of .53. Asian and black races along with behavior habits like smoking prevalence and binge drinking significantly contributed to TB. However, raw data related to important variables such as homelessness, incarceration, HIV and country of origin were not readily available.

Learning Objectives:
Identify individual and interpersonal factors that influence initiation and spread of TB in Tennessee Compare data from all counties in TN so risk factors can be identified for the state Design for future interventions should be targeted to at risk population in specific counties

Keywords: Tuberculosis, Risk Factors

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: Student MSPH
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.