Literature DB >> 30217832

Cardiovascular risk profile in Olympic athletes: an unexpected and underestimated risk scenario.

Flavio D'Ascenzi1, Stefano Caselli2, Federico Alvino1, Barbara Digiacinto2, Erika Lemme2, Massimo Piepoli3, Antonio Pelliccia2.   

Abstract

BACKGROUND: Prevalence of cardiovascular (CV) risk factors has been poorly explored in subjects regularly engaged in high-intensity exercise programmes. Our aim was, therefore, to assess the prevalence and distribution of CV risk factors in a large population of competitive athletes, to derive the characteristics of athlete's lifestyle associated with the best CV profile.
METHODS: 1058 Olympic athletes (656 males, 402 females), consecutively evaluated in the period 2014-2016, represent the study population. Prevalence and distribution of CV risk factors was assessed, in relation to age, body size and sport.
FINDINGS: Dyslipidemia was the most common risk (32%), followed by increased waist circumference (25%), positive family history (18%), smoking habit (8%), hypertension (3.8%) and hyperglycaemia (0.3%). Large subset of athletes (418, 40%) had none or 1 (414, 39%) risk factor, while only a few (39, 3.7%) had 3/4 CV risk factors. The group without risks largely comprised endurance athletes (34%). Ageing was associated with higher total and low-density lipoprotein cholesterol, triglycerides (p<0.001) and glycaemia (p=0.002) and lower high-density lipoprotein cholesterol. On multivariate logistic regression analysis, age, BMI and body fat were identified as independent predictors of increased CV risk.
INTERPRETATION: Dyslipidemia and increased waist circumference are common in elite athletes (32% and 25%, respectively). A large proportion (40%) of athletes, mostly endurance, are totally free from risk factors. Only a minority (3%) presents a high CV risk, largely expression of lifestyle and related to modifiable CV risk factors. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  athlete’s heart; cardiovascular; physical activity; risk factor; training

Mesh:

Year:  2018        PMID: 30217832     DOI: 10.1136/bjsports-2018-099530

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  5 in total

1.  Estimation of Heart Rate Variability Parameters by Machine Learning Approaches Applied to Facial Infrared Thermal Imaging.

Authors:  Andrea Di Credico; David Perpetuini; Pascal Izzicupo; Giulia Gaggi; Daniela Cardone; Chiara Filippini; Arcangelo Merla; Barbara Ghinassi; Angela Di Baldassarre
Journal:  Front Cardiovasc Med       Date:  2022-05-17

2.  COVID-19, sports, and myocardial consequences.

Authors:  H T Jørstad; J J Piek
Journal:  Neth Heart J       Date:  2020-10-08       Impact factor: 2.380

3.  Mild Left Ventricular Hypertrophy in Middle-Age Male Athletes as a Sign of Masked Arterial Hypertension.

Authors:  Łukasz A Małek; Agnieszka Jankowska; Lidia Greszata
Journal:  Int J Environ Res Public Health       Date:  2022-08-15       Impact factor: 4.614

4.  Preclinical techniques to investigate exercise training in vascular pathophysiology.

Authors:  Gurneet S Sangha; Craig J Goergen; Steven J Prior; Sushant M Ranadive; Alisa M Clyne
Journal:  Am J Physiol Heart Circ Physiol       Date:  2021-01-01       Impact factor: 5.125

Review 5.  Myocardial fibrosis in athletes-Current perspective.

Authors:  Łukasz A Małek; Chiara Bucciarelli-Ducci
Journal:  Clin Cardiol       Date:  2020-03-19       Impact factor: 2.882

  5 in total

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