| Title |
The energetically optimal cadence decreases after prolonged cycling exercise
|
|---|---|
| Published in |
European Journal of Applied Physiology, April 2010
|
| DOI | 10.1007/s00421-010-1431-9 |
| Pubmed ID | |
| Authors |
Simon Annaheim, Urs Boutellier, Götz Kohler |
| Abstract |
This study investigated the change in the energetically optimal cadence after prolonged cycling. The energetically optimal cadence (EOC) was determined in 14 experienced cyclists by pulmonary gas exchange at six different cadences (100-50 rpm at 10 rpm intervals). The determination of the EOC was repeated after a prolonged cycling exercise of 55 min duration, where cadence was fixed either at high (>95 rpm) or low (<55 rpm) pedalling rates. The EOC decreased after prolonged cycling exercise at a high as well as at a low fixed cadence (P < 0.01). According to the generalized muscle equations of Hill, this indicates that most likely more type I muscle fibres contribute to muscular power output after fatiguing cycling exercise compared to cycling in the beginning of an exercise bout. We suggest that the determination of EOC might be a potential non-invasive method to detect the qualitative changes in activated muscle fibres, which needs further investigation. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Chile | 1 | 2% |
| Unknown | 56 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 20% |
| Student > Ph. D. Student | 10 | 17% |
| Student > Bachelor | 8 | 14% |
| Other | 5 | 8% |
| Researcher | 5 | 8% |
| Other | 14 | 24% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 29 | 49% |
| Engineering | 8 | 14% |
| Medicine and Dentistry | 4 | 7% |
| Agricultural and Biological Sciences | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 7 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 31 January 2015.
All research outputs
#14,473,828
of 25,374,647 outputs
Outputs from European Journal of Applied Physiology
#2,703
of 4,345 outputs
Outputs of similar age
#80,664
of 102,749 outputs
Outputs of similar age from European Journal of Applied Physiology
#24
of 40 outputs
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We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.