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Updated: Oct 25, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
Cardiovascular Disease in a Population-Based Sample of Transgender and Cisgender Adults
Tonia C Poteat1, Shahrzad Divsalar2, Carl G Streed3
1Department of Social Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina.
Introduction:
Existing data on cardiovascular disease among transgender people are inconsistent and are derived from nonrepresentative samples or population-based data sets that do not include transgender-specific risk factors such as gender-affirming hormone use and gender minority stressors. A nationally representative sample of cisgender and transgender adults aged ≥40 years was used to assess the prevalence and correlates of smoking, select cardiovascular disease conditions, and venous thromboembolism.
Methods:
Participants were recruited from 2016 to 2018, with analysis conducted in December 2020 with 114 transgender and 964 cisgender individuals. Sample weights and multiple imputations were used for all estimates except for descriptive statistics. Logistic regression models estimated the ORs and 95% CIs expressing the relationship between each outcome variable and a set of independent variables. Each model controlled for race and age.
Results:
No meaningful differences between cisgender and transgender participants were found in smoking or cardiovascular disease conditions. However, there was an increased odds of venous thromboembolism among transgender women compared with those among cisgender women. Transgender people had greater odds of discrimination, psychological distress, and adverse childhood experiences. These stressors were associated with increased odds of a cardiovascular condition, and everyday discrimination and adverse childhood experiences were associated with increased odds of smoking. Discrimination and psychological distress were associated with venous thromboembolism.
Conclusions:
Transgender people face disparities in cardiovascular disease risk. This study provides support for the gender minority stress model as a framework for understanding cardiovascular disease disparities. Future research with larger samples and adjudicated outcomes is needed to advance the field.
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