Importance: Vigorous exercise (particularly endurance sports) might increase the risk of atrial fibrillation (AF), but there is variability in the reported frequency of this condition among elite athletes. The underlying pathophysiologic source remains unclear.
Objective: To determine AF incidence in a large cohort of elite athletes and its association with potential risk factors.
Design, Setting, And Participants: Retrospective observational cohort of all Spanish athletes (N = 6813) referred to a single center was used to determine AF incidence from January 1, 1997, to December 31, 2017, and cross-sectional analysis was conducted to compare athletes with and without reported AF. The cohort covered most sports disciplines, and the studied athletes were on national teams and competed in major international events. Cardiologists responsible for echocardiographic assessment were not blinded to the condition (AF or no AF) of the athletes.
Exposures: All participants underwent at least 1 cardiologic evaluation, including assessment at time of AF diagnosis in those with this condition.
Main Outcomes And Measures: Diagnosis of AF based on resting and/or exercise electrocardiogram, and/or 24-hour Holter monitoring and echocardiography-assessed atrial dimensions.
Results: A total of 6813 Spanish elite athletes (2385 [35.0%] women) were referred for cardiac evaluation during the study period. Mean (SD) age was 22 (7) years, and mean (SD) time of competition was 8 (5) years. Only 21 athletes (1 woman), participating in different types of sports, had AF (ie, paroxysmal [n = 18], persistent [n = 1], or long-standing persistent [n = 2]) during the 20-year study. In multivariate analysis, increasing values of age (odds ratio [OR], 1.07; 95% CI, 1.00-1.14), years of competition (OR, 1.14; 95% CI, 1.07-1.22), and left atrial anteroposterior diameter (OR, 1.21; 95% CI, 1.10-1.32) were associated with higher AF risk.
Conclusions And Relevance: The incidence of AF is low among young Spanish elite athletes, even when considering only endurance athletes. Yet, potential contributors (particularly atrial remodeling) need to be monitored.
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http://dx.doi.org/10.1001/jamacardio.2018.3482 | DOI Listing |
Clin Chem Lab Med
January 2025
Deparment of Laboratory Medicine, 16268 La Paz University Hospital, Madrid, Spain.
Objectives: Cardiac biomarkers are useful for the diagnostic and prognostic assessment of myocardial injury (MI) and heart failure. By measuring specific proteins released into the bloodstream during heart stress or damage, these biomarkers help clinicians detect the presence and extent of heart injury and tailor appropriate treatment plans. This study aims to provide robust biological variation (BV) data for cardiac biomarkers in athletes, specifically focusing on those applied to detect or exclude MI, such as myoglobin, creatine kinase-myocardial band (CK-MB) and cardiac troponins (cTn), and those related to heart failure and cardiac dysfunction, brain natriuretic peptide (BNP) and N-terminal brain natriuretic pro-peptide (NT-proBNP).
View Article and Find Full Text PDFEur J Sport Sci
February 2025
Department of Sport and Health Sciences and Social Work, Oxford Brookes University, Oxford, UK.
Some technical limitations to using the eccentric mode to measure peak eccentric strength of the hamstrings (PTH) were raised. PTH also has limited validity to predict performance or injury risk factor. Therefore, our aim was to compare PTH and other isokinetic variables tested in the eccentric and passive modes.
View Article and Find Full Text PDFPsychophysiology
January 2025
School of Psychology, Beijing Sport University, Beijing, China.
Previous studies demonstrated that sensorimotor training enhances interoceptive abilities. Athletes are highly engaged in performance-driven physical training and often incorporate-to varying degrees-sensorimotor training into their routines. In this study, we investigated the role of individual differences in interoception by comparing professional athletes of different performance levels and both sexes with recreational athletes and controls, applying a three-dimensional model of interoception.
View Article and Find Full Text PDFSci Rep
January 2025
College of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Athlete engagement is influenced by several factors, including cohesion, passion and mental toughness. Machine learning methods are frequently employed to construct predictive models as a result of their high efficiency. In order to comprehend the effects of cohesion, passion and mental toughness on athlete engagement, this study utilizes the relevant methods of machine learning to construct a prediction model, so as to find the intrinsic connection between them.
View Article and Find Full Text PDFSci Rep
January 2025
La Trobe Sport & Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, Australia.
Few studies have explored hip morphology and cartilage composition in female athletes or the impact of asymmetric repetitive loading, such as occurs during softball pitching. The current cross-sectional study assessed bilateral bony hip morphology on computed tomography imaging in collegiate-level softball pitchers ('Pitch1', n = 25) and cross-country runners ('Run', n = 13). Magnetic resonance imaging was used to assess cartilage relaxation times in a second cohort of pitchers ('Pitch2', n = 10) and non-athletic controls ('Con', n = 4).
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