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    Modelling mood states in athletic performance

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    Authors
    Cockerill, I. M.
    Nevill, Alan M.
    Lyons, Noel
    Issue Date
    1991
    
    Metadata
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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
    Publisher
    Routledge
    Journal
    Journal of Sports Sciences
    URI
    http://hdl.handle.net/2436/107256
    PubMed ID
    1895356
    Additional Links
    http://www.swetswise.com/link/access_db?issn=0264-0414&mode=A_MLL
    Type
    Journal article
    Language
    en
    ISSN
    0264-0414
    EISSN
    1466-447x
    Collections
    Faculty of Education, Health and Wellbeing

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