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Cited by 28

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

General health complaints and sleep associated with new injury within an endurance sporting population: A prospective study

Johnston, R., Cahalan, R., Bonnett, L., Maguire, M., Glasgow, P., Madigan, S., O’Sullivan, K., Comyns, T.·2020·Journal of Science and Medicine in Sport
DOI 10.1016/j.jsams.2019.10.013
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Research works printed but not linked: 29

  1. Hulme, 2017, Risk and protective factors for middle- and long-distance running-related Injury, Sports Med, 47, 869, 10.1007/s40279-016-0636-4 · DOI
  2. Johnston, 2018, The associations between training load and baseline characteristics on musculoskeletal injury and pain in endurance sport populations: a systematic review, J Sci Med Sport, 910, 10.1016/j.jsams.2018.03.001 · DOI
  3. Van Tonder, 2016, Br J Sports Med, 50, 939, 10.1136/bjsports-2016-096190 · DOI
  4. von Rosen, 2017, Multiple factors explain injury risk in adolescent elite athletes: applying a biopsychosocial perspective, Scand J Med Sci Sports, 27, 2059, 10.1111/sms.12855 · DOI · Paper page
  5. Wiese-Bjornstal, 2010, Psychology and socioculture affect injury risk, response, and recovery in high-intensity athletes: a consensus statement, Scand J Med Sci Sports., 20, 103, 10.1111/j.1600-0838.2010.01195.x · DOI · Paper page
  6. Thygesen, 2009, The subjective health complaints inventory: a useful instrument to identify various aspects of health and ability to cope in older people?, Scand J Public Health, 37, 690, 10.1177/1403494809344104 · DOI
  7. Biggins, 2018, Poor sleep is related to lower general health, increased stress and increased confusion in elite Gaelic athletes, Phys Sportsmed, 46, 14, 10.1080/00913847.2018.1416258 · DOI
  8. Schwellnus, 2012, Illness during the 2010 Super 14 Rugby Union tournament – a prospective study involving 22 676 player days, Br J Sports Med, 46, 499, 10.1136/bjsports-2012-091046 · DOI
  9. Gouttebarge, 2015, Mental and psychosocial health among current and former professional footballers, Occupat Med, 65, 190, 10.1093/occmed/kqu202 · DOI
  10. Main, 2012, Overtraining or burnout: a training and psycho-behavioural case study, Int J Sports Sci Coach, 7, 23, 10.1260/1747-9541.7.1.23 · DOI
  11. Cahalan, 2015, A cross-sectional study of elite adult Irish dancers: biopsychosocial traits, pain, and injury, J Dance Med Sci, 19, 31, 10.12678/1089-313X.19.1.31 · DOI
  12. Killen, 2010, Training loads and incidence of injury during the preseason in professional rugby league players, J Strength Cond Res, 24, 2079, 10.1519/JSC.0b013e3181ddafff · DOI
  13. Samuels, 2009, Sleep, recovery, and performance: the new frontier in high-performance athletics, Phys Rehabil Clin N Am, 20, 149, 10.1016/j.pmr.2008.10.009 · DOI
  14. Lastella, 2014, Athletes’ precompetitive sleep behaviour and its relationship with subsequent precompetitive mood and performance, Eur J Sport Sci, 14, S123
  15. Milewski, 2014, Chronic lack of sleep is associated with increased sports injuries in adolescent athletes, J Pediatr Orthop, 34, 129, 10.1097/BPO.0000000000000151 · DOI · Paper page
  16. Dennis, 2016, Sleep patterns and injury occurrence in elite Australian footballers, J Sci Med Sport, 19, 113, 10.1016/j.jsams.2015.02.003 · DOI
  17. Johnston, 2019, Training load and baseline characteristics associated with new injury/pain within an endurance sporting population: a prospective study, Int J Sport Physiol, 14, 590
  18. Piggott, 2009, The relationship between training load and incidence of injury and illness over a pre-season at an Australian football league club, J Austr Strength Cond Res, 17, 4
  19. O’Sullivan, 2018, Pain and fatigue in sport: are they so different?, Br J Sports Med, 52, 555, 10.1136/bjsports-2017-098159 · DOI
  20. Bonnett, 2017, Risk of a seizure recurrence after a breakthrough seizure and the implications for driving: further analysis of the standard versus new antiepileptic drugs (SANAD) randomised controlled trial, BMJ Open, 7, 10.1136/bmjopen-2017-015868 · DOI
  21. Main, 2010, Training patterns and negative health outcomes in triathlon: longitudinal observations across a full competitive season, J Sports Med Phys Fitness, 50, 475
  22. Williams, 1998, Psychosocial antecedents of sport injury: review and critique of the stress and injury model’, J Appl Sport Psychol, 10, 5, 10.1080/10413209808406375 · DOI · Paper page
  23. Johnson, 2011, Psychological predictors of sport injuries among junior soccer players, Scand J Med Sci Sports, 21, 129, 10.1111/j.1600-0838.2009.01057.x · DOI
  24. Junge, 2000, The influence of psychological factors on sports injuries. Review of the literature, Am J Sports Med, 28, S10, 10.1177/28.suppl_5.s-10 · DOI
  25. Morgan, 1987, Psychological monitoring of overtraining and staleness, Br J Sports Med, 21, 107, 10.1136/bjsm.21.3.107 · DOI · Paper page
  26. Saw, 2016, Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review, Br J Sports Med, 50, 281, 10.1136/bjsports-2015-094758 · DOI · Paper page
  27. Madigan, 2017, Perfectionism and training distress in junior athletes: a longitudinal investigation, J Sports Sci, 35, 470, 10.1080/02640414.2016.1172726 · DOI
  28. Jones, 2018, Pre-season injury and illness associations with perceptual wellness, neuromuscular fatigue, sleep and training in elite rugby union, J Aust Strength Cond, 26, 6
  29. Andersen, 1999, Athletic injury, psychosocial factors and perceptual changes during stress, J Sports Sci, 17, 735, 10.1080/026404199365597 · DOI

Cited by

Metadata

Authors
Johnston, R., Cahalan, R., Bonnett, L., Maguire, M., Glasgow, P., Madigan, S., O’Sullivan, K., & Comyns, T.
ORCID
Venue
Journal of Science and Medicine in Sport
Publisher
Elsevier BV
Published
2020-03
Volume
23
Issue
3
Pages
252-257
ISSN
1440-2440
DOI
10.1016/j.jsams.2019.10.013
Cited by
28
References
4
Language
en
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
Faculty of Health Sciences, Queen's University

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.