Abstract:Background: Baseline computerized testing is a common component of concussion assessments, and the testing environment has been suggested to influence test performance and validity. Purpose: To compare concussion baseline computerized neurocognitive test performance and validity among adolescent athletes based on testing environment (group, individual), age group (10-12, 13-15, 16-18 years), sex (male, female), and sport type (collision/combat, contact, noncontact). Study Design: Cohort study; Level of evidenc… Show more
“…Previous studies of adolescent12 and collegiate10 11 athletes found no association between sport and neurocognitive test performance and no significant differences for sport type on composite scores during baseline preseason evaluations. A similar large scale investigation of male NCAA athletes undergoing preseason testing found that football players had lower (worse) visual motor processing speed and slower (worse) reaction time compared with non-contact sport athletes, however, the authors reported small effect sizes and minimal clinical relevance, similar to our study 9.…”
Section: Discussionmentioning
confidence: 68%
“…Others have examined the influence of sport on cognition across an athletic season and found small but measurable short-term differences in neurocognitive outcomes between collision, contact and non-contact high school and collegiate athletes,13 although the magnitude of the differences between sport type did not reach the thresholds deemed to be clinically significant and did not persist across subsequent athletic seasons 13. Similarly, previous studies have found lower symptom scores in adolescent12 and collegiate athletes10 associated with collision sport participation. It is not known as to why collision sport athletes report fewer symptoms, but it is possibly due, at least in part, to collision sports being predominantly male, as sex has been associated with baseline symptom reporting in a number of studies 26 27 34.…”
Section: Discussionmentioning
confidence: 95%
“…Moreover, high school football players may potentially sustain upwards of 1800 collisions over the course of a single season, while some studies suggest that fewer than 3000 repetitive head impacts may be associated with an elevated risk of later life impairments in executive functioning 5 8. Other studies, however, suggest that collision and contact sport participation does not necessarily result in worse neurocognitive outcomes 9–13. Furthermore, recent studies suggest that collision and contact sport athletes have fewer anxiety and depression symptoms compared with non-contact sport athletes,10 14 and they are not more likely to have depression or cognitive deficits long term 15 16.…”
ObjectiveWe sought to determine whether male collision sport athletes perform worse on computerised neurocognitive assessments and report higher symptom burdens than athletes in contact (but not collision) sports and athletes in non-contact sports.MethodsThis cross-sectional study used data collected by the Massachusetts Concussion Management Coalition on high school boys who underwent computerised neurocognitive testing between 2009 and 2018. We divided sports participation in three different sport types: (1) collision, (2) contact, non-collision and (3) non-contact. Our outcomes included the four computerised neurocognitive composite scores (verbal memory, visual memory, visual motor speed and reaction time) and the total symptom score. The independent variable was sport type (collision, contact, non-contact), adjusted for age, concussion history and comorbidities.ResultsOf the 92 979 athletes (age: 15.59±2.08 years) included in our study, collision sport athletes performed minimally but significantly worse than other athletes on neurocognitive composite scores (verbal memory: β=−1.64, 95% CI −1.85 to –1.44; visual memory: β=−1.87, 95% CI −2.14 to –1.60; visual motor speed: β=−2.12, 95% CI −2.26 to –1.97; reaction time: β=0.02, 95% CI 0.02 to 0.02). Collision and contact sport athletes also had slightly but significantly lower total symptom scores (collision: 3.99±7.17; contact: 3.78±6.81; non-contact: 4.32±7.51, p<0.001, η2=0.001) than non-contact sport athletes.ConclusionThere are minimal observed differences in performance on neurocognitive assessments between collision sport, contact sport and non-contact sport athletes. The repetitive subconcussive head impacts associated with collision sport participation do not appear to negatively affect self-reported symptoms or neurocognitive functioning in current youth athletes.
“…Previous studies of adolescent12 and collegiate10 11 athletes found no association between sport and neurocognitive test performance and no significant differences for sport type on composite scores during baseline preseason evaluations. A similar large scale investigation of male NCAA athletes undergoing preseason testing found that football players had lower (worse) visual motor processing speed and slower (worse) reaction time compared with non-contact sport athletes, however, the authors reported small effect sizes and minimal clinical relevance, similar to our study 9.…”
Section: Discussionmentioning
confidence: 68%
“…Others have examined the influence of sport on cognition across an athletic season and found small but measurable short-term differences in neurocognitive outcomes between collision, contact and non-contact high school and collegiate athletes,13 although the magnitude of the differences between sport type did not reach the thresholds deemed to be clinically significant and did not persist across subsequent athletic seasons 13. Similarly, previous studies have found lower symptom scores in adolescent12 and collegiate athletes10 associated with collision sport participation. It is not known as to why collision sport athletes report fewer symptoms, but it is possibly due, at least in part, to collision sports being predominantly male, as sex has been associated with baseline symptom reporting in a number of studies 26 27 34.…”
Section: Discussionmentioning
confidence: 95%
“…Moreover, high school football players may potentially sustain upwards of 1800 collisions over the course of a single season, while some studies suggest that fewer than 3000 repetitive head impacts may be associated with an elevated risk of later life impairments in executive functioning 5 8. Other studies, however, suggest that collision and contact sport participation does not necessarily result in worse neurocognitive outcomes 9–13. Furthermore, recent studies suggest that collision and contact sport athletes have fewer anxiety and depression symptoms compared with non-contact sport athletes,10 14 and they are not more likely to have depression or cognitive deficits long term 15 16.…”
ObjectiveWe sought to determine whether male collision sport athletes perform worse on computerised neurocognitive assessments and report higher symptom burdens than athletes in contact (but not collision) sports and athletes in non-contact sports.MethodsThis cross-sectional study used data collected by the Massachusetts Concussion Management Coalition on high school boys who underwent computerised neurocognitive testing between 2009 and 2018. We divided sports participation in three different sport types: (1) collision, (2) contact, non-collision and (3) non-contact. Our outcomes included the four computerised neurocognitive composite scores (verbal memory, visual memory, visual motor speed and reaction time) and the total symptom score. The independent variable was sport type (collision, contact, non-contact), adjusted for age, concussion history and comorbidities.ResultsOf the 92 979 athletes (age: 15.59±2.08 years) included in our study, collision sport athletes performed minimally but significantly worse than other athletes on neurocognitive composite scores (verbal memory: β=−1.64, 95% CI −1.85 to –1.44; visual memory: β=−1.87, 95% CI −2.14 to –1.60; visual motor speed: β=−2.12, 95% CI −2.26 to –1.97; reaction time: β=0.02, 95% CI 0.02 to 0.02). Collision and contact sport athletes also had slightly but significantly lower total symptom scores (collision: 3.99±7.17; contact: 3.78±6.81; non-contact: 4.32±7.51, p<0.001, η2=0.001) than non-contact sport athletes.ConclusionThere are minimal observed differences in performance on neurocognitive assessments between collision sport, contact sport and non-contact sport athletes. The repetitive subconcussive head impacts associated with collision sport participation do not appear to negatively affect self-reported symptoms or neurocognitive functioning in current youth athletes.
“…Computer-based neurocognitive testing could be performed at an athlete’s home but administered or proctored using telehealth to ensure proper testing procedure. French et al found that although environment did not affect test performance, those who tested in an individual testing environment had, on average, a higher concussion symptom severity score than those who underwent testing in a group [11]. Other tests that may be used in baseline testing such as the Vestibular Ocular-Motor Screen would require another examiner to be physically present with the athlete [22].…”
Background: The use of telehealth has increased as a result of the COVID-19 pandemic. As sports at all levels resume, sports medicine physicians may be interested in how telehealth can be used for concussion care. Questions/Purpose: We sought to assess how telehealth has been used in the baseline testing, diagnosis, and/or management of concussion. Secondarily, we sought to assess the strengths and weaknesses of telehealth for concussion care and identify aspects of concussion care for which telehealth has not yet been studied. Methods: A systematic review was performed in September 2020 of PubMed and Embase using the following terms: concuss*, “mild traumatic brain,” “head injur*,” telehealth, telemedicine, telecare, “mobile health,” m-health, virtual. Studies included were original research articles investigating the use of telehealth in the care of concussion (including baseline testing, diagnosis, and management), published in English, and had full text available. Results: A total of 356 articles were screened, of which 5 were determined to meet inclusion criteria. These articles described the use of telehealth for managing concussion in military and rural settings. No articles involved the use of telehealth for baseline concussion testing of athletes or for sideline evaluation. Conclusion: Despite the limited original research on the use of telehealth for concussion care, the articles identified provide a foundation for exploring the potential value of telehealth in the office practice and sports team setting. Telehealth may expand the ability of a sports medicine physician to provide timely and effective concussion care to athletes during the COVID-19 pandemic and beyond. More rigorous research is needed.
“…All participants were separated into one of the six age groupings: ages 12 and under, 13-15, 16-19, 20-29, 30-39, and 40+. e younger age group clusters were chosen based on previous reports showing differences in concussion symptomology [25,26]. A total of 1,577 participants were included in the study for the experimental data (see Table 1 for number of participants per category).…”
Concussions are among the most common neurological conditions, with emergency departments and sports injury clinics seeing hundreds of patients each year. The consideration of risk factors such as age, sex, and comorbid conditions are very important when looking at individual physiological and psychological outcomes after a concussion. The purpose of this study was to look at four comorbid conditions (depression, anxiety, behavioural disorder, or learning disability) and identify any interactions with age and sex in symptom presentation after suffering a concussion. A total of 4,865 participants from the CCMI (Complete Concussion Management Inc.) dataset were used with 1,577 self-identified with a diagnosis of anxiety, depression, a behavioural disorder, or a learning disability. Fixed-factor analyses of variance were used with age and sex as fixed, grouping factors and symptom total and severity as dependent measures. For the individuals who did not have one of the 4 mental health conditions (3,288 control participants), symptom total and symptom severity increased with age (p<0.05), and females showed more symptoms and a higher symptom severity than males across all ages (p<0.05). A diagnosis of anxiety or depression exacerbated total symptoms and symptom severity from 25–50% above control levels in the 19 and under age groups, while depression or anxiety exacerbated total symptoms and severity by 10–15% in males more than females over 20. A diagnosis of a behavioural disorder or a learning disability exacerbated symptom severity by approximately 50% above control levels in 13–19–year-old females and in males of 30 years and older. This study highlights how the presence of a mental health condition may alter concussion symptom presentation dependent on age and sex. The identification of risk factors and how they may interact can be of great value to health care providers who manage concussion symptoms and recovery.
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