| Title |
The Impact of Resistance Training on Distance Running Performance
|
|---|---|
| Published in |
Sports Medicine, September 2012
|
| DOI | 10.2165/00007256-200333070-00005 |
| Pubmed ID | |
| Authors |
Alan P. Jung |
| Abstract |
Traditionally, distance running performance was thought to be determined by several characteristics, including maximum oxygen consumption (VO(2max)), lactate threshold (LT), and running economy. Improvements in these areas are primarily achieved through endurance training. Recently, however, it has been shown that anaerobic factors may also play an important role in distance running performance. As a result, some researchers have theorised that resistance training may benefit distance runners. Because resistance training is unlikely to elicit an aerobic stimulus of greater than 50% of VO(2max), it is unlikely that resistance training would improve VO(2max) in trained distance runners. However, it appears that VO(2max) is not compromised when resistance training is added to an endurance programme. Similarly, LT is likely not improved as a result of resistance training in trained endurance runners; however, improvements in LT have been observed in untrained individuals as a result of resistance training. Trained distance runners have shown improvements of up to 8% in running economy following a period of resistance training. Even a small improvement in running economy could have a large impact on distance running performance, particularly in longer events, such as marathons or ultra-marathons. The improvement in running economy has been theorised to be a result of improvements in neuromuscular characteristics, including motor unit recruitment and reduced ground contact time. Although largely theoretical at this point, if resistance training is to improve distance running performance, it will likely have the largest impact on anaerobic capacity and/or neuromuscular characteristics. The primary purpose of this review is to consider the impact of resistance training on the factors that are known to impact distance running performance. A second purpose is to consider different modes of resistance exercise to determine if an optimal protocol exists. |
X Demographics
The data shown below were collected from the profiles of 10 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 States | 4 | 40% |
| Spain | 1 | 10% |
| Chile | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 492 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 9 | 2% |
| United States | 4 | <1% |
| Canada | 3 | <1% |
| United Kingdom | 3 | <1% |
| France | 2 | <1% |
| Spain | 2 | <1% |
| New Zealand | 2 | <1% |
| Austria | 1 | <1% |
| Italy | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 462 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 98 | 20% |
| Student > Bachelor | 66 | 13% |
| Student > Ph. D. Student | 51 | 10% |
| Researcher | 40 | 8% |
| Student > Doctoral Student | 35 | 7% |
| Other | 123 | 25% |
| Unknown | 79 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 252 | 51% |
| Medicine and Dentistry | 51 | 10% |
| Agricultural and Biological Sciences | 29 | 6% |
| Nursing and Health Professions | 17 | 3% |
| Biochemistry, Genetics and Molecular Biology | 9 | 2% |
| Other | 43 | 9% |
| Unknown | 91 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 16 April 2023.
All research outputs
#1,059,528
of 25,721,020 outputs
Outputs from Sports Medicine
#913
of 2,894 outputs
Outputs of similar age
#5,989
of 190,628 outputs
Outputs of similar age from Sports Medicine
#107
of 762 outputs
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So far Altmetric has tracked 2,894 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.3. This one has gotten more attention than average, scoring higher than 68% of its peers.
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