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Baseline Strength Can Influence the Ability of Salivary Free Testosterone to Predict Squat and Sprinting Performance

Overview of attention for article published in Journal of Strength & Conditioning Research, January 2012
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Title
Baseline Strength Can Influence the Ability of Salivary Free Testosterone to Predict Squat and Sprinting Performance
Published in
Journal of Strength & Conditioning Research, January 2012
DOI 10.1519/jsc.0b013e3182185158
Pubmed ID
Authors

Blair T Crewther, Christian J Cook, Chris M Gaviglio, Liam P Kilduff, Scott Drawer

Abstract

The objective of this study was to determine if salivary free testosterone can predict an athlete's performance during back squats and sprints over time and the influence baseline strength on this relationship. Ten weight-trained male athletes were divided into 2 groups based on their 1 repetition maximum (1RM) squats, good squatters (1RM > 2.0 × body weight, n = 5) and average squatters (1RM < 1.9 × body weight, n = 5). The good squatters were stronger than the average squatters (p < 0.05). Each subject was assessed for squat 1RM and 10-m sprint times on 10 separate occasions over a 40-day period. A saliva sample was collected before testing and assayed for free testosterone and cortisol. The pooled testosterone correlations were strong and significant in the good squatters (r = 0.92 for squats, r = -0.87 for sprints, p < 0.01), but not significant for the average squatters (r = 0.35 for squats, r = -0.18 for sprints). Cortisol showed no significant correlations with 1RM squat and 10-m sprint performance, and no differences were identified between the 2 squatting groups. In summary, these results suggest that free testosterone is a strong individual predictor of squat and sprinting performance in individuals with relatively high strength levels but a poor predictor in less strong individuals. This information can assist coaches, trainers, and performance scientists working with stronger weight-trained athletes, for example, the preworkout measurement of free testosterone could indicate likely training outcomes or a readiness to train at a certain intensity level, especially if real-time measurements are made. Our results also highlight the need to separate group and individual hormonal data during the repeated testing of athletes with variable strength levels.

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The data shown below were collected from the profiles of 3 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 96 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 25%
Student > Ph. D. Student 13 13%
Researcher 12 12%
Student > Bachelor 10 10%
Student > Postgraduate 8 8%
Other 13 13%
Unknown 20 20%
Readers by discipline Count As %
Sports and Recreations 48 48%
Medicine and Dentistry 9 9%
Nursing and Health Professions 7 7%
Agricultural and Biological Sciences 3 3%
Psychology 3 3%
Other 8 8%
Unknown 23 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 October 2018.
All research outputs
#15,169,949
of 25,374,917 outputs
Outputs from Journal of Strength & Conditioning Research
#5,036
of 6,666 outputs
Outputs of similar age
#156,879
of 250,100 outputs
Outputs of similar age from Journal of Strength & Conditioning Research
#57
of 93 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,666 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 250,100 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.