| Literature DB >> 23242954 |
Steven D Stovitz1, Ian Shrier.
Abstract
Entities:
Keywords: Epidemiology; Injury Prevention
Mesh:
Year: 2012 PMID: 23242954 PMCID: PMC3913118 DOI: 10.1136/bjsports-2012-091619
Source DB: PubMed Journal: Br J Sports Med ISSN: 0306-3674 Impact factor: 13.800
Division 1 football players
| Exertional deaths | Number of participants | Risk of death per 1000 athlete-years* | Risk difference per 1000 athlete-years† | Relative risk‡ | |
|---|---|---|---|---|---|
| All ethnicities | |||||
| SCT positive | 5 | 4134 | 1.210 | 1.177 | 37§ |
| SCT negative | 4 | 123313 | 0.033 | ||
| Total | 9 | 126447 | 0.071 | ||
| Black athletes | |||||
| SCT positive | 5 | 4024 | 1.243 | 1.186 | 22 |
| SCT negative | 3 | 53464 | 0.056 | ||
| Total | 8 | 57488 | 0.139 | ||
| Non-black athletes | |||||
| SCT positive | 0 | 110 | 0 | −0.015 | 0 |
| SCT negative | 1 | 68849 | 0.015 | ||
| Total | 1 | 68959 | 0.015 | ||
*Risk=Deaths/number of athlete-years.
†Risk difference=(Risk in SCT positive)—(Risk in SCT negative).
‡Relative risk=(Risk in SCT positive)/(Risk in SCT negative).
§We do not recommend making this calculation. See text for explanation.
SCT, sickle cell trait.
Figure 1Directed acyclic graph depicting that race/ethnicity is a common cause of both sickle cell trait and exertion-related death, and thus confounds the research question.