Ballet Dancers Are Fitter Than International Swimmers

The work, led by Professor Tim Watson and Dr Andrew Garrett, involved comparing members of the Royal Ballet and English National Ballet School with a squad of British National and International Swimmers, including members of the Olympic squad. The results will be announced at the University’s Health and Human Sciences Research Institute Showcase.

The investigation looked at a range of ‘fitness’ testing including strength, endurance, balance, flexibility and psychological state amongst others, enabling an individual ‘fitness profile’ to be constructed.

Of the ten most important measures of fitness employed, the ballet dancers had stronger scores in seven of them when taking into account body size. Ballet dancers were some 25% stronger when tested for grip strength for example.

“The results reveal the very different physical make-up of the two types of athletes” commented Professor Watson “and when it comes to training and recovery from injury, it is critical to know precisely the fitness profile needed by the participant in any physical activity.

“The individuals fitness training must cater for the varying demands of their ‘performance’ and should an injury occur, the treatment and rehabilitation that takes place must match the demands that they are going to put on their body when they return – or else further injury is highly likely”

The full results will be revealed on Thursday 23rd October during the University of Hertfordshire’s Health and Human Sciences Research Institute Showcase week which runs from 21-24 October at the University’s de Havilland campus.

Media Contact

Emma Roberts alfa

All latest news from the category: Studies and Analyses

innovations-report maintains a wealth of in-depth studies and analyses from a variety of subject areas including business and finance, medicine and pharmacology, ecology and the environment, energy, communications and media, transportation, work, family and leisure.

Back to home

Comments (0)

Write a comment

Newest articles

Machine learning algorithm reveals long-theorized glass phase in crystal

Scientists have found evidence of an elusive, glassy phase of matter that emerges when a crystal’s perfect internal pattern is disrupted. X-ray technology and machine learning converge to shed light…

Mapping plant functional diversity from space

HKU ecologists revolutionize ecosystem monitoring with novel field-satellite integration. An international team of researchers, led by Professor Jin WU from the School of Biological Sciences at The University of Hong…

Inverters with constant full load capability

…enable an increase in the performance of electric drives. Overheating components significantly limit the performance of drivetrains in electric vehicles. Inverters in particular are subject to a high thermal load,…

Partners & Sponsors