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Maximal Strength Training

[image] 31 May 2010

Maximal strength training is resistance training that uses high loads and few repetitions. Using this method, increases in muscle strength occur through neural adaptations rather than via an increase in the size of the muscle. Traditionally, strength training has been associated with reduced endurance development, and therefore cyclists have been reluctant to perform resistance training. Cycling competitions can last up to 500 minutes with aerobic metabolism contributing 80-99% towards cycling performance. It seems obvious therefore, that cyclists should focus on training the aerobic energy system to improve performance. However, recent research has demonstrated that a combination of endurance training with maximal strength training can improve exercise economy and efficiency in a variety of endurance athletes by approximately 5%. An improvement in exercise economy refers to a decrease in the oxygen required to perform a specific amount of exercise. Exercise efficiency relates to the ratio between power output and oxygen consumption. If a cyclist uses less oxygen at the same speed or power output this reflects an improvement in performance in response to training and is a good predictor of maximal performance.

Recently, research performed in Norway, published in the Journal of Strength and Conditioning Research in 2010, examined the effect of an 8 week maximal strength training programme on cycling performance in competitive cyclists. The cyclists performed maximal strength training in addition to their regular cycle training. The researchers measured maximal squat strength, aerobic capacity (VO2max), cycling economy and efficiency, and time to exhaustion during a maximal cycling test, before, and after, the 8 weeks of training.

The strength training intervention required the cyclists to perform 4 sets of 4RM (the maximum weight that one can lift 4 consecutive reps) half-squats, divided by 3 minutes of rest between each set, 3 days a week. Every time a cyclist could manage to perform 5 repetitions during a set, 2.5 kg were added for the next set. This ensured that the progression of the resistance training programme over the 8 weeks was well controlled. Each session took 20 minutes. Compared to a control group that continued with the same cycling programme without any strength training, the strength training group demonstrated an increase in their maximal squat strength by 14%, cycling efficiency and economy by 5-7% and time to exhaustion by 17%. Importantly, there was no change in body weight or VO2max, demonstrating that the strength training programme did not reduce maximal endurance capacity and did not cause an excessive increase in muscle mass.

The practical application of the results is that maximal strength training improves cycling performance, which is shown by the improvement in time to exhaustion in the maximal cycling test. The results indicate that cyclists both at a recreational and higher level should include maximal strength training as a supplement to their endurance training programme. A protocol of 4-4RM 2-3 times a week using half-squats is recommended. This training session will only take 20 minutes to perform and results in a significant improvement in cycling performance.

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Prof Andrew McKune
MMedSci (Physiology), DTech (Sport and Exercise Science), CSCS

Andrew is the Exercise Physiologist at the Centre for Sports Medicine, Umhlanga and an Associate Professor in the Discipline of Sport Science at the University of KwaZulu-Natal. He is a Certified Strength and Conditioning Specialist (CSCS) and Advanced Speed, Agility and Quickness Trainer.  He is a Specialist Editor (Sport Science) for Men's Health Magazine where he has a monthly column and has a specific research interests in the fields of exercise immunology, monitoring recovery and overtraining and clinical exercise physiology.

You can contact the Centre for Sports Medicine, Umhlanga on: 031 5605557 or info@centreforsportsmedicine.co.za

MMedSci (Physiology), DTech (Sport and Exercise Science), CSCS

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