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Association between veteran status and stroke prevalence: A population-based analysis
Methods: The Integrated Health Interview Series (IHIS) is a harmonized dataset for the U.S. National Health Interview Survey (NHIS). The IHIS 1997-2010 dataset was used for population-based analysis of prevalence of stroke among veteran and non-veteran men and women. Fully adjusted regression models were performed to account for socioeconomic and lifestyle factors. All statistical analyses were performed using SAS version 9.0.
Results: Non-veteran Black women had significantly higher stroke prevalence (3.4%) in comparison to their veteran counterparts (1.7%) (p<0.005). No significant difference was noted in White women. The prevalence of stroke in Black male veterans was 5.4%, which was significantly higher in non-veterans (2.6%) (<0.005). White male veterans had a prevalence of 5.4%, which was significantly higher than the 1.7% prevalence noted in their non-veteran counterparts (p<0.005). A regression model fully adjusted for behavioral and socioeconomic factors showed that in comparison to non-veteran males, veterans had an increased risk of stroke (OR= 1.8, 95%CI=1.6-2.1), while in women there was no significant increase in risk after adjustment.
Conclusion: A significant association exists between veteran status and stroke prevalence in men. After adjustment for covariates, male veterans had 81% greater risk for stroke.
Public health or related research
Learning Objectives:
Explain the relationship between veteran status and stroke prevalence in American men and women
Keywords: Strokes, Veterans' Health
Qualified on the content I am responsible for because: I have been the principal and co-principal investigator on multiple grants focusing on veteran health.
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.