Association of total and free testosterone with cardiovascular disease in a nationally representative sample of white, black, and Mexican American men.
David S LopezShaden TahaSirena GutierrezAlejandro Villasante-TezanosWissam I KhalifeLaith M AlzweriKyriakos MarkidesJacques BaillargeonKonstantinos K TsilidisPublished in: International journal of impotence research (2022)
Associations of total testosterone (T) and calculated free T with cardiovascular disease (CVD) remain poorly understood. Particularly how these associations vary according to race and ethnicity in a nationally representative sample of men. Data included 7058 men (≥20 years) from NHANES. CVD was defined as any reported diagnosis of heart failure (HF), coronary artery disease (CAD), myocardial infarction (MI), and stroke. Total T (ng/mL) was obtained among males who participated in the morning examination. Weighted multivariable-adjusted logistic regression models were conducted. We found associations of low T (OR = 1.57, 95% CI = 1.17-2.11), low calculated free T (OR = 1.53, 95% CI = 1.10-2.17), total T (Q 1 vs Q 5 ), and calculated free T (Q 1 vs Q 5 ) with CVD after adjusting for estradiol and SHBG. In disease specific analysis, low T increased prevalence of MI (OR = 1.72, 95% CI = 1.08-2.75) and HF (OR = 1.74, 95% CI = 1.08-2.82), but a continuous increment of total T reduced the prevalence of CAD. Similar inverse associations were identified among White and Mexican Americans, but not Blacks (OR = 0.93, 95% CI = 0.49-1.76). Low levels of T and calculated free T were associated with an increased prevalence of overall CVD and among White and Mexican Americans. Associations remained in the same direction with specific CVD outcomes in the overall population.
Keyphrases
- coronary artery disease
- cardiovascular disease
- heart failure
- risk factors
- cardiovascular events
- left ventricular
- atrial fibrillation
- middle aged
- replacement therapy
- magnetic resonance imaging
- acute heart failure
- coronary artery bypass grafting
- electronic health record
- adipose tissue
- machine learning
- subarachnoid hemorrhage
- brain injury
- glycemic control