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Association of Lower Limb Compression Garments During High-Intensity Exercise with Performance and Physiological Responses: A Systematic Review and Meta-analysis

Overview of attention for article published in Sports Medicine, May 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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196 X users
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3 Facebook pages
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1 Wikipedia page

Citations

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23 Dimensions

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115 Mendeley
Title
Association of Lower Limb Compression Garments During High-Intensity Exercise with Performance and Physiological Responses: A Systematic Review and Meta-analysis
Published in
Sports Medicine, May 2018
DOI 10.1007/s40279-018-0927-z
Pubmed ID
Authors

César Augusto da Silva, Lucas Helal, Roberto Pacheco da Silva, Karlyse Claudino Belli, Daniel Umpierre, Ricardo Stein

Abstract

Although compression garments are used to improve sports performance, methodological approaches and the direction of evidence regarding garments for use in high-intensity exercise settings are diverse. Our primary aim was to summarize the association between lower-limb compression garments (LLCGs) and changes in sports performance during high-intensity exercise. We also aimed to summarize evidence about the following physiological parameters related to sports performance: vertical jump height (VJ), maximal oxygen uptake (VO2max), submaximal oxygen uptake (VO2submax), blood lactate concentrations ([La]), and ratings of perceived exertion (RPE, 6-20 Borg scale). We searched electronic databases (PubMed, EMBASE, Cochrane Library, and ClinicalTrials.gov) and reference lists for previous reviews. Eligible studies included randomized controlled trials with athletes or physically active subjects (≥ 18 years) using any type of LLCG during high-intensity exercise. The results were described as weighted mean difference (WMD) with a 95% confidence interval (95% CI). The 23 included studies showed low statistical heterogeneity for the pooled outcomes. We found that LLCGs yielded similar running performance to controls (50-400 m: WMD 0.06 s [95% CI - 1.99 to 2.11]; 800-3000 m: WMD 6.10 s [95% CI - 7.23 to 19.43]; > 5000 m: WMD 1.01 s [95% CI - 84.80 to 86.82]). Likewise, we found no evidence that LLCGs were superior in secondary outcomes (VJ: WMD 2.25 cm [95% CI - 2.51 to 7.02]; VO2max: WMD 0.24 mL.kg-1.min-1 [95% CI - 1.48 to 1.95]; VO2submax: WMD - 0.26 mL.kg-1.min-1 [95% CI - 2.66 to 2.14]; [La]: WMD 0.19 mmol/L [95% CI - 0.22 to 0.60]; RPE: WMD - 0.20 points [95% CI - 0.48 to 0.08]). LLCGs were not associated with improved performance in VJ, VO2max, VO2submax, [La], or RPE during high-intensity exercise. Such evidence should be taken into account when considering using LLCGs to enhance running performance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 196 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 15%
Student > Ph. D. Student 15 13%
Student > Bachelor 13 11%
Researcher 8 7%
Student > Doctoral Student 5 4%
Other 15 13%
Unknown 42 37%
Readers by discipline Count As %
Sports and Recreations 29 25%
Medicine and Dentistry 12 10%
Nursing and Health Professions 10 9%
Psychology 5 4%
Engineering 3 3%
Other 10 9%
Unknown 46 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 152. 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 10 June 2022.
All research outputs
#274,567
of 25,732,188 outputs
Outputs from Sports Medicine
#255
of 2,896 outputs
Outputs of similar age
#6,100
of 339,842 outputs
Outputs of similar age from Sports Medicine
#5
of 41 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,896 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.4. This one has done particularly well, scoring higher than 91% 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 339,842 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.