{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T23:17:21Z","timestamp":1791415041584,"version":"4.3.3"},"reference-count":58,"publisher":"National Athletic Trainers' Association","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,5,1]]},"abstract":"<jats:sec><jats:title>Context:<\/jats:title><jats:p>Poor core stability is believed to increase vulnerability to uncontrolled joint displacements throughout the kinetic chain between the foot and the lumbar spine.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objective:<\/jats:title><jats:p>To assess the value of preparticipation measurements as predictors of core or lower extremity strains or sprains in collegiate football players.<\/jats:p><\/jats:sec><jats:sec><jats:title>Design:<\/jats:title><jats:p>Cohort study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Setting:<\/jats:title><jats:p>National Collegiate Athletic Association Division I Football Championship Subdivision football program.<\/jats:p><\/jats:sec><jats:sec><jats:title>Patients or Other Participants:<\/jats:title><jats:p>All team members who were present for a mandatory physical examination on the day before preseason practice sessions began (n \u200a=\u200a 83).<\/jats:p><\/jats:sec><jats:sec><jats:title>Main Outcome Measure(s):<\/jats:title><jats:p>Preparticipation administration of surveys to assess low back, knee, and ankle function; documentation of knee and ankle injury history; determination of body mass index; 4 different assessments of core muscle endurance; and measurement of step-test recovery heart rate. All injuries were documented throughout the preseason practice period and 11-game season. Receiver operating characteristic analysis and logistic regression analysis were used to identify dichotomized predictive factors that best discriminated injured from uninjured status. The 75th and 50th percentiles were evaluated as alternative cutpoints for dichotomization of injury predictors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results:<\/jats:title><jats:p>Players with \u22652 of 3 potentially modifiable risk factors related to core function had 2 times greater risk for injury than those with &amp;lt;2 factors (95% confidence interval \u200a=\u200a 1.27, 4.22), and adding a high level of exposure to game conditions increased the injury risk to 3 times greater (95% confidence interval \u200a=\u200a 1.95, 4.98). Prediction models that used the 75th and 50th percentile cutpoints yielded results that were very similar to those for the model that used receiver operating characteristic-derived cutpoints.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions:<\/jats:title><jats:p>Low back dysfunction and suboptimal endurance of the core musculature appear to be important modifiable football injury risk factors that can be identified on preparticipation screening. These predictors need to be assessed in a prospective manner with a larger sample of collegiate football players.<\/jats:p><\/jats:sec>","DOI":"10.4085\/1062-6050-47.3.17","type":"journal-article","created":{"date-parts":[[2017,3,2]],"date-time":"2017-03-02T15:09:42Z","timestamp":1488467382000},"page":"264-272","source":"Crossref","is-referenced-by-count":73,"title":["Prediction of Core and Lower Extremity Strains and Sprains in Collegiate Football Players: A Preliminary Study"],"prefix":"10.4085","volume":"47","author":[{"given":"Gary B.","family":"Wilkerson","sequence":"first","affiliation":[{"name":"Graduate Athletic Training Education Program, University of Tennessee at Chattanooga"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jessica L.","family":"Giles","sequence":"first","affiliation":[{"name":"Andrews Sports Medicine and Orthopaedic Center, Birmingham, AL"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dustin K.","family":"Seibel","sequence":"first","affiliation":[{"name":"Muir Orthopaedic Specialists, San Ramon, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2557","reference":[{"issue":"suppl 4","key":"2020060408433518800_i1062-6050-47-3-264-Chalmers1","doi-asserted-by":"crossref","first-page":"IV22","DOI":"10.1136\/ip.8.suppl_4.iv22","article-title":"Injury prevention in sport: not yet part of the game","volume":"8","author":"Chalmers","year":"2002","journal-title":"Inj Prev"},{"issue":"4","key":"2020060408433518800_i1062-6050-47-3-264-Emery1","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1097\/00042752-200307000-00011","article-title":"Risk factors for injury in child and adolescent sport: a systematic review of the literature","volume":"13","author":"Emery","year":"2003","journal-title":"Clin J Sport Med"},{"issue":"1\u20132","key":"2020060408433518800_i1062-6050-47-3-264-Finch1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.jsams.2006.02.009","article-title":"A new framework for research leading to sports injury prevention","volume":"9","author":"Finch","year":"2006","journal-title":"J Sci Med Sport"},{"issue":"6","key":"2020060408433518800_i1062-6050-47-3-264-McGuine1","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1097\/01.jsm.0000248848.62368.43","article-title":"Sports injuries in high school athletes: a review of injury-risk and injury-prevention research","volume":"16","author":"McGuine","year":"2006","journal-title":"Clin J Sport Med"},{"issue":"14","key":"2020060408433518800_i1062-6050-47-3-264-Parkkari1","doi-asserted-by":"crossref","first-page":"985","DOI":"10.2165\/00007256-200131140-00003","article-title":"Is it possible to prevent sports injuries? 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