Sports injuries and illnesses in first-year physical education teacher education students

Abstract

Background/aimWe aimed to investigate the magnitude and characteristics of injuries and illnesses in Dutch physical education teacher education (PETE) students.MethodsDuring the first 21 weeks of the academic year, 245 first-year students registered their health problems online using the Oslo Sports Trauma Research Centre (OSTRC) Questionnaire on Health Problems.ResultsA total of 276 injuries, 140 illnesses and 69 unclassified health problems were reported. We found an injury incidence rate of 11.7 injuries per 1000 hours (95% CI 10.4 to 13.2). Injury characteristics were: 42% overuse injuries, 62% causing absence from sports (median injury time loss=2 days) and 64% reinjuries. Most injuries were located at the knee, lower leg (anterior) and ankle. The duration of the illnesses was short (<1 week).Summary and conclusionsWe implemented a new registration method in the PETE academic programme. The results show that the risk for health problems is high for PETE students. Prevention is necessary, and to decrease injuries prevention programmes should focus on the lower extremities.

Physical activity-related injuries of college students in southern China: A 1-year prospective study

“…On the contrary, this 1-year follow-up study enabled us to avoid such a limitation and track injury occurrences more precisely over time. The injury incidence density of 2.53 injuries per 1000 PA exposure hours and the injury risk of 0.43 injuries/student/year in our subjects were both lower than those observed in physical education teacher education (PETE) students 8,21 . This discrepancy could be explained by the divergence of injury definitions, study designs and targeted populations 8,21 .…”

“…The injury incidence density of 2.53 injuries per 1000 PA exposure hours and the injury risk of 0.43 injuries/student/year in our subjects were both lower than those observed in physical education teacher education (PETE) students 8,21 . This discrepancy could be explained by the divergence of injury definitions, study designs and targeted populations 8,21 . Consistent with other research 6 , this study showed that the injury incidence densities and injury risks did not differ in men and women.…”

“…In addition, a history of injury was also identified as a significant risk factor for subsequent injuries 7 . Previous studies concerning the epidemiology of PARI among collegiate athletes showed that the injury incidence density varied from 1.91 to 11.7 per 1000 exposure hours 6,8,9 . This implies that the injury incidence density is relatively high and therefore, effective injury prevention programs are necessary to be developed with a first step to obtain epidemiological information about the epidemiology of PARI in targeted population 10 .…”

Detailed injury epidemiology in contemporary dance: a 1-year prospective study of 134 students

“…During the first month of the academic year (September 2016), baseline characteristics were recorded, including age (years), height (centimetres) and body weight (kilograms). During the academic year 2016/2017, all students were asked to complete monthly questionnaires by using the Performing Artist and Athletes Health Monitor (PAHM),16 a web-based system which includes a Dutch translation of the OSTRC Questionnaire on Health Problems 10 12 13. Only students who completed >30% of the questionnaires were included in the analyses.…”

“…The new method captured all types of health problems—non-time loss injuries (‘overuse’) and time loss injuries (often ‘acute’ or more severe overuse injuries) 10 11. Although this method has been used multiple times within athletic groups,12 13 only one study has applied this method in dance 7…”