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- Title
Determinants of LV mass in athletes: the impact of sport, constitutional traits and cardiovascular risk factors.
- Authors
Pelliccia, Antonio; Borrazzo, Cristian; Maestrini, Viviana; D'Ascenzi, Flavio; Caselli, Stefano; Lemme, Erika; Squeo, Maria Rosaria; Di Giacinto, Barbara
- Abstract
Background: Whether cardiovascular (CV) risk factors might impact Left Ventricular (LV) mass in athletes is unknown. Methods: The impact of CV risk factors (Total/LDL cholesterol, triglycerides, positive family history, smoking, body fat, blood pressure), constitutional characteristics (age, sex, body mass index) and type of sport was assessed in 1111 Olympic athletes. Results: Multivariate logistic regression analysis demonstrated a significant impact: BMI ≥ 30 kg/m2 (odds ratio [OR] = 2.8. 95° Confidence Interval [CI] 0.9–13.7; < 0.001; in males); age ≥ 20-year (OR = 2.1, CI 1.4–3.3; p < 0.001) in males; (OR = 2.3; CI 1.4–3.7) in females; systolic blood pressure ≥ 130 mmHg (OR = 1.1, CI 1.01–1.16; p < 0.001) in males; (OR = 1.03; CI 1.01–1.06; p < 0.03) in females; diastolic ≥ 85 mmHg (OR = 1.1, CI 1.03–1.2; p = 0.003) in males; (OR = 1.05, CI 1.02–1.08, p < 0.001) in females. No association was found for family history, smoking, body fat, LDL, total cholesterol, triglycerides. Overall, constitutional traits explain > 60% of the LV mass. Sport explains on average 14%, but large differences existed among disciplines, i.e., endurance showed the highest impact (55%, mixed: 20%, power: 17%, skill: 8%; p < 0.001). Conclusion: LV mass in athletes is largely governed by constitutional traits and type of sport, and independent from CV risk factors, except for systolic and diastolic blood pressure. Overall, constitutional traits explain more than 60% of LV mass. The impact of sport is largely different in relation to the discipline, and highest in endurance, moderate mixed and power and mild in skill disciplines.
- Subjects
CARDIOVASCULAR diseases risk factors; ENDURANCE athletes; DIASTOLIC blood pressure; SYSTOLIC blood pressure; LDL cholesterol; LOGISTIC regression analysis
- Publication
European Journal of Applied Physiology, 2023, Vol 123, Issue 4, p769
- ISSN
1439-6319
- Publication type
Article
- DOI
10.1007/s00421-022-05098-9