hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Investigating the influence of intra-individual changes in perceived stress symptoms on injury risk in soccer
West Virginia University, Morgantown, West Virginia, United Kingdom.ORCID iD: 0000-0002-9379-6292
Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI), Health and Sport.ORCID iD: 0000-0002-8987-5975
Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI).ORCID iD: 0000-0002-2102-6352
Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI), Health and Sport.ORCID iD: 0000-0003-0990-4842
Show others and affiliations
2018 (English)In: Scandinavian Journal of Medicine and Science in Sports, ISSN 0905-7188, E-ISSN 1600-0838, Vol. 28, no 4, p. 1461-1466Article in journal (Refereed) Published
Abstract [en]

Research has shown that high levels of stress and stress responsivity can increase the risk of injuries. However, most of the research that has supported this notion has focused on between-person relationships, ignoring the relationships at the within-person level. As a result, the objective of this study was to investigate if within-person changes in perceived stress symptoms over a 1-month time period could predict injury rates during the subsequent 3 months. A prospective design with two measurement points (Time 1—at the beginning of the season and Time 2—1 month into the season) was utilized. A total of 121 competitive soccer players (85 males and 36 females; Mage = 18.39, SD = 3.08) from Sweden and the United States completed the Kessler Psychological Distress Scale (KPDS) and a demographic sheet at Time 1. The KPDS was also completed at Time 2, and all acute injuries that occurred during the subsequent 3-month period were recorded. A Bayesian latent change scores model was used to determine whether within-person changes in stress symptoms could predict the risk of injury. Results revealed that there was a credible positive effect of changes in stress symptoms on injury rates, indicating that an increase in reported stress symptoms was related to an increased risk for injury. This finding highlights the importance of creating caring and supportive sporting environments and relationships and teaching stress management techniques, especially during the earlier portion of competitive seasons, to possibly reduce the occurrence of injuries. © 2018 John Wiley & Sons A/S.

Place, publisher, year, edition, pages
Chichester: Wiley-Blackwell Publishing Inc., 2018. Vol. 28, no 4, p. 1461-1466
Keywords [en]
athletes, psychological predictors, sport injury, stress management
National Category
Psychology
Identifiers
URN: urn:nbn:se:hh:diva-36307DOI: 10.1111/sms.13048ISI: 000427140700016Scopus ID: 2-s2.0-85041201109OAI: oai:DiVA.org:hh-36307DiVA, id: diva2:1183345
Available from: 2018-02-16 Created: 2018-02-16 Last updated: 2022-09-06Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Clement, DamienIvarsson, AndreasTranaeus, UlrikaJohnson, UrbanStenling, Andreas

Search in DiVA

By author/editor
Clement, DamienIvarsson, AndreasTranaeus, UlrikaJohnson, UrbanStenling, Andreas
By organisation
Health and SportCentre of Research on Welfare, Health and Sport (CVHI)
In the same journal
Scandinavian Journal of Medicine and Science in Sports
Psychology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 231 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf