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Browsing by Author "Mensch, James"
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Item Comprehensive Coach Education Reduces Head Impact Exposure in American Youth Football(2015-10) Kerr, Zachary Y.; Yeargin, Susan W.; Valovich McLeod, Tamara C.; Mensch, James; Hayden, Ross; Dompier, Thomas P.BACKGROUND: Despite little evidence that defines a threshold of head impact exposure or that participation in youth sports leads to long-term cognitive impairments, it is prudent to identify methods of reducing the frequency of head impacts. PURPOSE: To compare the mean number of head impacts between youth football players in practice and games between leagues that implemented the Heads Up Football (HUF) educational program and those that did not (NHUF). STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: During the 2014 season, head impact exposure was measured using xPatch accelerometers from 70 youth football players aged 8 to 15 years from 5 leagues. Data were collected during both games and practices. The NHUF group comprised 32 players from 8 teams within 3 leagues. The HUF group comprised 38 players from 7 teams within 2 leagues. Independent-sample t tests evaluated differences in head impact exposure across groups (ie, HUF and NHUF). RESULTS: Players (mean ± SD: age, 11.7 ± 1.4 years; height, 152.2 ± 10.5 cm; weight, 51.6 ± 9.6 kg) experienced a total of 7478 impacts over 10g, of which 4250 (56.8%) and 3228 (43.2%) occurred in practices and games, respectively. The majority of impacts occurred within the NHUF group (62.0%), followed by the HUF group (38.0%). With a 10g impact threshold, the mean number of impacts during practice per individual event was lower in the HUF group (mean ± SD, 5.6 ± 2.9) than in the NHUF group (mean ± SD, 8.9 ± 3.1; difference, 3.4; 95% CI, 2.9-3.9). This difference was attenuated when the threshold was changed to 20g but remained significant (difference, 1.0; 95% CI, 0.7-1.3). At both the 10g and 20g impact thresholds, no differences were found in games. CONCLUSION: Players who participated in HUF leagues accumulated fewer head impacts per practice at both the 10g and 20g thresholds. Youth football leagues should consider the HUF educational program, while exploring additional interventions, to help reduce the number of head impacts in players.Item The epidemiology of NCAA men’s lacrosse injuries, 2009/10-2014/15 academic years(Springer, 2017-12) Kerr, Zachary Y.; Quigley, Adam; Yeargin, Susan W.; Lincoln, Andrew E.; Mensch, James; Caswell, Shane V.; Dompier, Thomas P.; School Of Social SciencesBACKGROUND: Participation in lacrosse has grown at the collegiate levels. However, little research has examined the epidemiology of collegiate men's lacrosse injuries. This study describes the epidemiology of injuries in National Collegiate Athletic Association (NCAA) men's lacrosse during the 2009/10-2014/15 academic years. METHODS: Twenty-five men's lacrosse programs provided 63 team-seasons of data for the NCAA Injury Surveillance Program (NCAA-ISP) during the 2009/10-2014/15 academic years. Injuries occurred from participation in an NCAA-sanctioned practice or competition, and required attention from an AT or physician. Injuries were further classified as time loss (TL) injuries if the injury restricted participation for at least 24 h. Injuries were reported through electronic medical record application used by the team medical staff throughout the academic year. Injury rates per 1000 athlete-exposures (AE), injury rate ratios (RR), 95% confidence intervals (CI), and injury proportions were reported. RESULTS: Overall, 1055 men's lacrosse injuries were reported, leading to an injury rate of 5.29/1000AE; 95%CI: 4.98-5.61. The TL injury rate was 2.74/1000AE (95%CI: 2.51-2.96). The overall injury rate was higher in competition than practice (12.35 vs. 3.90/1000AE; RR = 3.16; 95%CI: 2.79-3.58). Most injuries were to the lower extremity (58.3%), particularly the ankle (14.1%) in competition and the upper leg (14.3%) in practice. Sprains and strains were the most common diagnoses in both competition (26.9 and 23.7%, respectively) and practice (20.2% and 27.4%, respectively). Most injuries in competitions and practices were due to player contact (32.8 and 17.5%, respectively) and non-contact (29.6 and 40.0%, respectively). CONCLUSIONS: Our estimated injury rates are lower than those from previous college men's lacrosse research. This may be due to increased injury awareness, advances in injury prevention exercise programs, or rule changes. Still, injury prevention can aim to continue reducing the incidence and severity of injury, particularly those sustained in competitions and to the lower extremity.Item Injury Rates in Age-Only Versus Age-and-Weight Playing Standard Conditions in American Youth Football(SAGE Publications, 2015-09) Kerr, Zachary Y.; Marshall, Stephen W.; Simon, Janet E.; Hayden, Ross; Snook, Erin M.; Dodge, Thomas; Gallo, Joseph A.; Valovich McLeod, Tamara C.; Mensch, James; Murphy, Joseph M.; Nittoli, Vincent C.; Dompier, Thomas P.; Ragan, Brian; Yeargin, Susan W.; Parsons, John T.; School of Health and Rehabilitation SciencesBACKGROUND: American youth football leagues are typically structured using either age-only (AO) or age-and-weight (AW) playing standard conditions. These playing standard conditions group players by age in the former condition and by a combination of age and weight in the latter condition. However, no study has systematically compared injury risk between these 2 playing standards. PURPOSE: To compare injury rates between youth tackle football players in the AO and AW playing standard conditions. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: Athletic trainers evaluated and recorded injuries at each practice and game during the 2012 and 2013 football seasons. Players (age, 5-14 years) were drawn from 13 recreational leagues across 6 states. The sample included 4092 athlete-seasons (AW, 2065; AO, 2027) from 210 teams (AW, 106; O, 104). Injury rate ratios (RRs) with 95% CIs were used to compare the playing standard conditions. Multivariate Poisson regression was used to estimate RRs adjusted for residual effects of age and clustering by team and league. There were 4 endpoints of interest: (1) any injury, (2) non-time loss (NTL) injuries only, (3) time loss (TL) injuries only, and (4) concussions only. RESULTS: Over 2 seasons, the cohort accumulated 1475 injuries and 142,536 athlete-exposures (AEs). The most common injuries were contusions (34.4%), ligament sprains (16.3%), concussions (9.6%), and muscle strains (7.8%). The overall injury rate for both playing standard conditions combined was 10.3 per 1000 AEs (95% CI, 9.8-10.9). The TL injury, NTL injury, and concussion rates in both playing standard conditions combined were 3.1, 7.2, and 1.0 per 1000 AEs, respectively. In multivariate Poisson regression models controlling for age, team, and league, no differences were found between playing standard conditions in the overall injury rate (RRoverall, 1.1; 95% CI, 0.4-2.6). Rates for the other 3 endpoints were also similar (RRNTL, 1.1 [95% CI, 0.4-3.0]; RRTL, 0.9 [95% CI, 0.4-1.9]; RRconcussion, 0.6 [95% CI, 0.3-1.4]). CONCLUSION: For the injury endpoints examined in this study, the injury rates were similar in the AO and AW playing standards. Future research should examine other policies, rules, and behavioral factors that may affect injury risk within youth football.