The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Performance success or failure is influenced by weeks lost to injury and illness in elite Australian track and field athletes: A 5-year prospective study
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“As such, increased exposure to elite sports is likely to increase musculoskeletal injury risk [83,170,173], which may be exacerbated during peak growth spurts [173,174,175].”
From Sleep, Nutrition, and Injury Risk in Adolescent Athletes: A Narrative Review (2023) · cites this paper as [170]
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Citations
Cites
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
Research works printed but not linked: 22
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- Podlog, 2015, Time trends for injuries and illness, and their relation to performance in the National Basketball Association, J Sci Med Sport, 18, 278, 10.1016/j.jsams.2014.05.005 · DOI
- Bennell, 1996, Musculoskeletal injuries in track and field: incidence, distribution and risk factors, Aust J Sci Med Sport, 28, 69
- Lysholm, 1987, Injuries in runners, Am J Sports Med, 15, 168, 10.1177/036354658701500213 · DOI · Paper page
- Jacobsson, 2013, Injury patterns in Swedish elite athletics: annual incidence, injury types and risk factors, Br J Sports Med, 47, 941, 10.1136/bjsports-2012-091651 · DOI
- Jacobsson, 2012, Prevalence of musculoskeletal injuries in Swedish elite track and field athletes, Am J Sports Med, 40, 163, 10.1177/0363546511425467 · DOI
- Engebretsen, 2013, Sports injuries and illnesses during the London Summer Olympic Games 2012, Br J Sports Med, 47, 407, 10.1136/bjsports-2013-092380 · DOI · Paper page
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- Junge, 2009, Sports injuries during the summer Olympic games 2008, Am J Sports Med, 37, 2165, 10.1177/0363546509339357 · DOI · Paper page
- Rauh, 2006, Epidemiology of musculoskeletal injuries among high school cross-country runners, Am J Epidemiol, 163, 151, 10.1093/aje/kwj022 · DOI
- Timpka, 2014, Injury and illness definitions and data collection procedures for use in epidemiological studies in Athletics (track and field): consensus statement, Br J Sports Med, 48, 483, 10.1136/bjsports-2013-093241 · DOI · Paper page
- Alonso, 2015, Preparticipation injury complaint is a risk factor for injury: a prospective study of the Moscow 2013 IAAF Championships, Br J Sports Med, 1
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- Timpka, 2015, Meta-narrative analysis of sports injury reporting practices based on the injury definitions concept framework (IDCF): a review of consensus statements and epidemiological studies in athletics (track and field), J Sci Med Sport, 18, 643, 10.1016/j.jsams.2014.11.393 · DOI
- Rae, 2007, The Orchard sports injury classification system (OSICS) version 10, Clin. J Sports Med, 17, 201, 10.1097/JSM.0b013e318059b536 · DOI · Paper page
- Finch, 2013, Categorising sports injuries in epidemiological studies: the subsequent injury categorisation (SIC) model to address multiple, recurrent and exacerbation of injuries, Br J Sports Med, 1
- Efron, 1981, The jackknife estimate of variance, Ann Stat, 9, 586, 10.1214/aos/1176345462 · DOI · Paper page
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- Gabbett, 2014, The relationship between workloads, physical performance, injury and illness in adolescent male football players, Sports Med, 44, 989, 10.1007/s40279-014-0179-5 · DOI
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Cited by
The compelling link between physical activity and the body's defense system
Nieman, D. C., & Wentz, L. M. (2019) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2018.09.009 · Cited by 1,340
Schwellnus, M., Soligard, T., Alonso, J.-M., Bahr, R., Clarsen, B., Dijkstra, H. P., Gabbett, T. J., Gleeson, M., Hägglund, M., Hutchinson, M. R., et al. (2016) · British Journal of Sports Medicine · doi:10.1136/bjsports-2016-096572 · Cited by 836
Logue, D. M., Madigan, S. M., Melin, A., Delahunt, E., Heinen, M., Donnell, S.-J. M., & Corish, C. A. (2020) · Nutrients · doi:10.3390/nu12030835 · Cited by 321
Logue, D., Madigan, S. M., Delahunt, E., Heinen, M., Mc Donnell, S.-J., & Corish, C. A. (2018) · Sports Medicine · doi:10.1007/s40279-017-0790-3 · Cited by 274
Maximizing Cellular Adaptation to Endurance Exercise in Skeletal Muscle
Hawley, J. A., Lundby, C., Cotter, J. D., & Burke, L. M. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.04.014 · Cited by 182
Metadata
- Authors
- Raysmith, B. P., & Drew, M. K.
- Venue
- Journal of Science and Medicine in Sport
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 19
- Issue
- 10
- Pages
- 778-783
- ISSN
- 1440-2440
- Cited by
- 207
- References
- 1
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Performance success or failure is influenced by weeks lost to injury and illness in elite Australian track and field athletes: A 5-year prospective study. https://app.cochat.ai/papers/10.1016/j.jsams.2015.12.515
- The paper
- Raysmith, B. P., & Drew, M. K. (2016). Performance success or failure is influenced by weeks lost to injury and illness in elite Australian track and field athletes: A 5-year prospective study. Journal of Science and Medicine in Sport. https://doi.org/10.1016/j.jsams.2015.12.515
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.