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Comparison of left ventricular mechanics in runners versus bodybuilders using speckle tracking echocardiography

Overview of attention for article published in Cardiovascular Ultrasound, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 273)
  • Good Attention Score compared to outputs of the same age (76th percentile)

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10 tweeters
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2 Facebook pages

Citations

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21 Dimensions

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68 Mendeley
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Title
Comparison of left ventricular mechanics in runners versus bodybuilders using speckle tracking echocardiography
Published in
Cardiovascular Ultrasound, February 2015
DOI 10.1186/s12947-015-0002-y
Pubmed ID
Authors

Ipoly Szauder, Attila Kovács, Gábor Pavlik

Abstract

Athlete's heart is a common definition for a broad spectrum of adaptations induced by intense exercise. We intended to compare left ventricular (LV) mechanics in two sports disciplines with different exercise nature: marathon runners (endurance) and bodybuilders (power). 24 marathon or ultramarathon runners (R), 14 bodybuilders (B) and 15 healthy, sedentary male volunteers (N) were investigated. Beyond standard echocardiographic protocol, parasternal short-axis and apical recordings optimized for speckle tracking analysis were acquired (Esaote MyLab 25). Using dedicated software (TomTec 2D Performance Analysis), global longitudinal (GLS), circumferential (GCS) and radial strain (GRS) were calculated by averaging the corresponding 16 LV segments. Data are presented as mean ± SD. Calculated LV mass was higher in bodybuilders compared to normal controls (R vs. B vs. N: 198 ± 52 vs. 224 ± 69 vs. 186 ± 30 g, p < 0.05). We found no difference regarding conventional systolic function parameters among the groups (ejection fraction: 55 ± 9 vs. 60 ± 6 vs. 59 ± 5%; mitral lateral S' velocity: 10.7 ± 0.6 vs. 10.6 ± 0.4 vs. 11.0 ± 0.8 cm/s). However, speckle tracking analysis showed a different pattern of myocardial deformation in our groups: while GRS was similar, GLS was decreased in runners, GCS was decreased in bodybuilders compared to the other two groups (GLS: -19.4 ± 3.4 vs. -23.3 ± 2.1 vs. -24.1 ± 3.0; GCS: -26.6 ± 3.8 vs. -22.4 ± 4.3 vs. -26.4 ± 2.7%, p < 0.05). Significant correlations were found in runners between GLS and end-diastolic volume (r = 0.46; p < 0.05), and body surface area (r = 0.49; p < 0.05). In bodybuilders, GCS was closely related to LV mass (r = 0.61; p < 0.01) and systolic blood pressure (r = 0.42; p < 0.05). While conventional morphological and functional echocardiographic parameters failed to distinguish between the athlete's heart of the two different sport disciplines, deformation parameters showed a different pattern of LV mechanics in runners versus bodybuilders.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 19%
Student > Bachelor 11 16%
Researcher 8 12%
Student > Ph. D. Student 8 12%
Student > Postgraduate 5 7%
Other 13 19%
Unknown 10 15%
Readers by discipline Count As %
Medicine and Dentistry 25 37%
Sports and Recreations 13 19%
Nursing and Health Professions 9 13%
Agricultural and Biological Sciences 4 6%
Engineering 2 3%
Other 4 6%
Unknown 11 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2020.
All research outputs
#3,877,570
of 16,255,167 outputs
Outputs from Cardiovascular Ultrasound
#37
of 273 outputs
Outputs of similar age
#50,290
of 218,933 outputs
Outputs of similar age from Cardiovascular Ultrasound
#1
of 2 outputs
Altmetric has tracked 16,255,167 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 273 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 218,933 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them