| Title |
Predicting the ergogenic response to methylphenidate
|
|---|---|
| Published in |
European Journal of Applied Physiology, January 2018
|
| DOI | 10.1007/s00421-018-3800-8 |
| Pubmed ID | |
| Authors |
Michael King, Keelyn Van Breda, Dan J. Stein, Kai Lutz, H. G. Laurie Rauch |
| Abstract |
Methylphenidate (MPH) and other stimulants have been shown to enhance physical performance. However, stimulant research has almost exclusively been conducted in young, active persons with a normal BMI, and may not generalize to other groups. The purpose of this study was to determine whether the ergogenic response to MPH could be predicted by individual level characteristics. We investigated whether weekly minutes of moderate-to-vigorous physical activity (MVPA), age, and BMI could predict the ergogenic response to MPH. In a double-blind, cross-over design 29 subjects (14M, 15F, 29.7 ± 9.68 years, BMI: 26.1 ± 6.82, MVPA: 568.8 ± 705.6 min) ingested MPH or placebo before performing a handgrip task. Percent change in mean force between placebo and MPH conditions was used to evaluate the extent of the ergogenic response. Mean force was significantly higher in MPH conditions [6.39% increase, T(25) = 3.09, p = 0.005 118.8 ± 37.96 (± SD) vs. 111.8 ± 34.99 Ns] but variable (coefficient of variation:163%). Using linear regression, we observed that min MVPA (T(25) = -2.15, β = -0.400, p = 0.044) and age [T(25) = -3.29, β = -0.598, p = 0.003] but not BMI [T(25) = 1.67, β = 0.320 p = 0.109] significantly predicted percent change in mean force in MPH conditions. We report that lower levels of physical activity and younger age predict an improved ergogenic response to MPH and that this may be explained by differences in dopaminergic function. This study illustrates that the ergogenic response to MPH is partly dependent on individual differences such as habitual levels of physical activity and age. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 11% |
| Student > Bachelor | 3 | 11% |
| Researcher | 2 | 7% |
| Other | 2 | 7% |
| Professor | 2 | 7% |
| Other | 8 | 29% |
| Unknown | 8 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 4 | 14% |
| Nursing and Health Professions | 2 | 7% |
| Neuroscience | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Psychology | 2 | 7% |
| Other | 7 | 25% |
| Unknown | 9 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 March 2018.
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#20,663,600
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Outputs from European Journal of Applied Physiology
#3,712
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Outputs of similar age from European Journal of Applied Physiology
#50
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