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Influence of body composition on physiological responses to post-exercise hydrotherapy

Overview of attention for article published in Journal of Sports Sciences, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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43 X users
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82 Mendeley
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Article details
Title
Influence of body composition on physiological responses to post-exercise hydrotherapy
Published in
Journal of Sports Sciences, July 2017
DOI 10.1080/02640414.2017.1355062
Pubmed ID
Authors
Abstract

This study examined the influence of body composition on temperature and blood flow responses to post-exercise cold water immersion (CWI), hot water immersion (HWI) and control (CON). Twenty-seven male participants were stratified into three groups: 1) low mass and low fat (LM-LF); 2) high mass and low fat (HM-LF); or 3) high mass and high fat (HM-HF). Experimental trials involved a standardised bout of cycling, maintained until core temperature reached 38.5°C. Participants subsequently completed one of three 15-min recovery interventions (CWI, HWI, or CON). Core, skin and muscle temperatures, and limb blood flow were recorded at baseline, post-exercise, and every 30 min following recovery for 240 min. During CON and HWI there were no differences in core or muscle temperature between body composition groups. The rate of fall in core temperature following CWI was greater in the LM-LF (0.03 ± 0.01°C/min) group compared to the HM-HF (0.01 ± 0.001°C/min) group (P = 0.002). Muscle temperature decreased to a greater extent during CWI in the LM-LF and HM-LF groups (8.6 ± 3.0°C) compared with HM-HF (5.1 ± 2.0°C, P < 0.05). Blood flow responses did not differ between groups. Differences in body composition alter the thermal response to post-exercise CWI, which may explain some of the variance in the responses to CWI recovery.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 43 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 13 16%
Student > Master 9 11%
Student > Ph. D. Student 7 9%
Researcher 6 7%
Student > Doctoral Student 5 6%
Other 12 15%
Unknown 30 37%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 28 34%
Nursing and Health Professions 7 9%
Medicine and Dentistry 6 7%
Biochemistry, Genetics and Molecular Biology 3 4%
Environmental Science 1 1%
Other 3 4%
Unknown 34 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 12 April 2021.
All research outputs
#1,855,149
of 32,950,213 outputs
Outputs from Journal of Sports Sciences
#662
of 4,603 outputs
Outputs of similar age
#27,418
of 346,848 outputs
Outputs of similar age from Journal of Sports Sciences
#15
of 65 outputs
Altmetric has tracked 32,950,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,603 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done well, scoring higher than 85% 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 346,848 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 92% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.