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Predictors of coronary atherosclerosis in middle-aged and older endurance athletes

医学 运动员 内科学 冠状动脉疾病 血压 心脏病学 冠状动脉粥样硬化 耐力训练 物理疗法
作者
Kristian Berge,Vincent L. Aengevaeren,Arend Mosterd,Birgitta K. Velthuis,Thijs M.H. Eijsvogels
出处
期刊:European Heart Journal [Oxford University Press]
卷期号:44 (Supplement_2)
标识
DOI:10.1093/eurheartj/ehad655.1161
摘要

Abstract Background Exercise improves cardiovascular health, but emerging evidence indicates that coronary atherosclerosis is more prevalent in middle-aged and older endurance athletes than sedentary peers. It has been shown that greater lifelong exercise volumes and exercise training at a very vigorous intensity are associated with higher coronary artery calcification scores (CACS). Nevertheless, the underlying mechanisms responsible for accelerated coronary atherosclerosis in veteran athletes are unknown and largely unexplored. Purpose To identify predictors of CACS in middle-aged and older endurance athletes. Methods Cardiac CT scans were performed on 284 middle-aged and older male athletes of the MARC-2 study to assess CACS. Participants were stratified to CACS=0, CACS: 1-100, CACS: 101-400, or CACS >400. Participant characteristics, traditional cardiovascular risk factors, biomarker concentrations, nutrition characteristics, perceived stress scores, and usage of immune-modulating and performance-enhancing drugs were compared across CACS subgroups, whereas linear regression with backward elimination was used to determine associations with ln(CACS + 1). Results Participants were 60.0 [Q1-3 56.3-66.0] years old, had a weekly training load of 25.7 [16.9-35.2] MET-h, BMI of 24.5 [22.9-26.7] kg/m2, systolic blood pressure (SBP) of 140±18 mmHg, and reported 0.3 [0.0-8.0] smoking pack years. CACS was 31 [0-132], with 29% of athletes having CACS of 0, 40% 1-100, 18% 101-400, and 13% >400. Participants with CACS >400 were older (p<0.001), had higher SBP (p=0.004), had smoked more pack years (p=0.003), and had more often a family history of cardiovascular disease (p=0.001), compared to lower CACS groups. After backward selection, our final multivariable model (R2=0.12) revealed that alcohol intake (p=0.021), smoking pack years (p=0.027), and SBP (p=0.004) had a positive relationship with CACS, while total fat intake (p=0.005) had an inverse relationship with CACS. We also found a significant interaction effect between weekly training load with alcohol consumption (p=0.017) and SBP (p=0.028), indicating that the association of alcohol and SBP with CACS was stronger for individuals performing higher exercise volumes. Conclusion Alcohol consumption, smoking history, and SBP were the strongest predictors of CACS in our cohort of middle-aged and older male endurance athletes, whereas the effect size of alcohol consumption and SBP on CACS was larger for participants with higher training loads. Our findings indicate that high exercise volumes do not eliminate the cardiovascular risk associated with an unhealthy lifestyle.
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