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Physiological implications of preparing for a natural male bodybuilding competition

Overview of attention for article published in European Journal of Sport Science, March 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
twitter
100 X users
facebook
8 Facebook pages
reddit
8 Redditors
video
6 YouTube creators

Readers on

mendeley
108 Mendeley
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Article details
Title
Physiological implications of preparing for a natural male bodybuilding competition
Published in
European Journal of Sport Science, March 2018
DOI 10.1080/17461391.2018.1444095
Pubmed ID
Authors
Abstract

This study aimed to describe the body composition and physiological changes which take place during the in-season and recovery periods of a group of natural bodybuilders. Natural male bodybuilders (n = 9) were assessed 16 (PRE16), 8 (PRE8), and 1 (PRE1) week(s) before, and 4 (POST4) weeks after a bodybuilding competition. Assessments included body composition, resting metabolic rate (RMR), serum hormones, and 7-day weighed food and training diaries. Change in parameters was assessed using repeated-measures analysis of variance. Dietary protein intake remained high throughout the study period (2.8-3.1 g kg-1 d-1). Fat mass (FM) was significantly reduced from PRE16 to PRE1 (8.8 ± 3.1 vs. 5.3 ± 2.4 kg, P < .01). There was a small decrease in lean mass (LM) from PRE8 to PRE1 (71.8 ± 9.1 vs. 70.9 ± 9.1 kg, P < .05). No changes in RMR were observed (P > .05). Large reductions in total and free testosterone (16.4 ± 4.4 vs. 10.1 ± 3.6 nmol L-1, P < .05; 229.3 ± 72.4 vs. 116.8 ± 76.9 pmol L-1, P < .05), and insulin-like growth factor-1 (IGF-1) (27.0 ± 7.7 vs. 19.9 ± 7.6 nmol L-1, P < .05) occurred between PRE16 and PRE1. LM and IGF-1 increased from PRE1 to POST4 (70.9 ± 9.1 vs. 72.5 ± 8.5 kg, P < .05; 19.9 ± 7.6 vs. 25.4 ± 9.3 nmol L-1, P < .05). Despite substantial reductions in FM, participants maintained almost all of their LM. The reduction in anabolic hormone concentration is likely attributable to the prolonged negative energy balance, despite a high dietary protein intake.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 100 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 23 21%
Student > Master 15 14%
Researcher 11 10%
Student > Ph. D. Student 6 6%
Student > Postgraduate 6 6%
Other 11 10%
Unknown 36 33%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 34 31%
Nursing and Health Professions 16 15%
Medicine and Dentistry 6 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Agricultural and Biological Sciences 3 3%
Other 6 6%
Unknown 39 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 15 April 2026.
All research outputs
#680,248
of 34,636,286 outputs
Outputs from European Journal of Sport Science
#118
of 2,209 outputs
Outputs of similar age
#11,839
of 374,387 outputs
Outputs of similar age from European Journal of Sport Science
#8
of 59 outputs
Altmetric has tracked 34,636,286 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 2,209 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done particularly well, scoring higher than 94% 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 374,387 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 96% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.