Modelling mood states in athletic performance
Cockerill, I. M. Nevill, Alan M. Lyons, Noel
Cockerill, I. M.
Nevill, Alan M.
Lyons, Noel
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Issue Date
1991
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Abstract
Because moods are transitory emotional states that can be influenced by a range of personality and environmental factors, the notion that elite athletes will always tend to produce a so-called iceberg profile of mood, and that less successful performers will not, is open to question. Evidence for such a claim is based principally upon descriptive studies. The present experiment used the POMS inventory as a predictor of cross-country running performance among a group of experienced male athletes. Race times from two competitive events were plotted against each of six mood factors. Using data from race 1, a multiple-regression model - incorporating the interdependence of tension, anger and depression - was able to predict rank order of finishing positions for race 2 with acceptable accuracy (rs = 0.74, P <0.01). The present approach differs from the traditional model of mood research in sport in that it provides a prescriptive, rather than a descriptive, focus. Although the model that has been developed appears promising, it is likely that in sports where demands on athletes are very different from those made upon cross-country runners, an alternative model may be required.
Citation
Journal of Sports Sciences, 9(2): 205-212
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Journal
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DOI
PubMed ID
1895356
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Journal article
Language
en
Description
Series/Report no.
ISSN
0264-0414
EISSN
1466-447x