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. 2016 Mar 29;4(3):2325967116639222. doi: 10.1177/2325967116639222

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© The Author(s) 2016

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License (http://www.creativecommons.org/licenses/by-nc-nd/3.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Figure 1. — Results of Poisson regression models identifying the risk factors for the 5 most prevalent injuries in the National Football League: (A) concussion, (B) knee injury, (C) ankle injury (the significance of the risk of ankle injury associated with time zone [TZ] change was P < .05; however, this failed to reach significance after false discovery rate [FDR] adjustment), (D) hamstring injury, and (E) shoulder injury. IRR, incidence rate ratio; Ref, reference; TG, team-game. *Variables with P < .05 and <FDR.

Figure 1. — Results of Poisson regression models identifying the risk factors for the 5 most prevalent injuries in the National Football League: (A) concussion, (B) knee injury, (C) ankle injury (the significance of the risk of ankle injury associated with time zone [TZ] change was P < .05; however, this failed to reach significance after false discovery rate [FDR] adjustment), (D) hamstring injury, and (E) shoulder injury. IRR, incidence rate ratio; Ref, reference; TG, team-game. *Variables with P < .05 and <FDR.