Concussion Among Children in the United States General Population: Incidence and Risk Factors

Examining the Association Between Adverse Childhood Experiences and Lifetime History of Head or Neck Injury and Concussion in Children From the United States

OBJECTIVE

Our objective was to determine whether there is an association between adverse childhood experiences (ACEs) and lifetime history of early childhood mild head or neck injury and concussion in a nationally representative US cohort.

SETTING AND DESIGN

This is a cross-sectional study using data from the Adolescent Brain Cognitive Development (ABCD) Study (data release 3.0), a prospective investigation of child brain development and health.

PARTICIPANTS

There were 11 878 children aged 9 or 10 years at baseline, recruited from 21 school-based sites in the United States. After excluding children with missing questionnaires for the primary exposure variable and children with severe brain injuries involving more than 30-minute loss of consciousness, the final sample size was 11 230 children.

MEASURES

The primary exposure variable was ACEs. We measured eight ACEs: sexual abuse, physical abuse, emotional neglect, parent domestic violence, parent substance use disorder, parental mental illness, parent criminal involvement, and parent divorce. The primary outcomes were head or neck injury and concussion, measured using the Ohio State University Traumatic Brain Injury Screen-Identification Method Short Form.

RESULTS

The sample ( N = 11 230) was 52% boys with a mean age of 9.9 years (SD = 0.62 years). The racial and ethnic makeup was reflective of national demographics. Having a higher overall ACE count was associated with higher odds of head or neck injury, with greater odds with more ACEs reported. Children with 2 ACEs had 24% greater odds of head or neck injury (AOR = 1.24, 95% confidence interval [CI] = 1.06-1.45) and 64% greater odds of concussion (AOR = 1.64, 95% CI = 1.18-2.22), and children with 4 or more ACEs had 70% greater odds of head or neck injury (AOR = 1.7, 95% CI = 1.14, 2.49) and 140% greater odds of concussion (AOR = 2.4, 95% CI = 1.15-4.47). The individual ACE categories of sexual abuse, parent domestic violence, parental mental illness, and parent criminal involvement were significantly associated with increased risk of head or neck injury and parental mental illness with increased risk of concussion.

CONCLUSIONS AND RELEVANCE

ACEs are associated with early childhood mild head or neck injury and concussion and should be integrated in head injury prevention and intervention efforts.

Analysis of a novel virtual pediatric concussion clinic in a rural setting

PURPOSE

Children and adolescents who sustain concussion in rural communities are lost to follow-up after initial evaluation more often than their urban counterparts. Thus, this study aims to determine the feasibility and accessibility of a novel virtual pediatric concussion clinic at a rural academic hospital.

METHODS

Data regarding patients referred to a virtual concussion clinic at a rural Pediatric Level 2 Trauma Center over a 16-month period was prospectively collected. Patients experiencing concussive symptoms were referred to the pediatric neurosurgery clinical registered nurse and received a phone call following an injury. Referrals to therapy were made based on symptoms reported.

RESULTS

Data from 44 patients was collected: 9 did not follow-up in concussion clinic despite leaving a voicemail. Forty-three were referred from the emergency department. The median time from referral placed to completing a virtual follow-up was 4.5 days. Among the referrals, 3 (8.6%) were to pediatric neurology, 10 (28.6%) to occupational therapy (OT), 6 (17.1%) to physical therapy (PT), 4 (11.4%) to speech-language pathology (SLP), and 25 (71.4%) did not receive referrals as their symptoms had abated. Patients followed with pediatric neurology post-injury for an average of 75.9 days, OT for an average of 52.7 days, and PT for an average of 2.3 days.

CONCLUSION

This is a feasible model to follow patients and place referrals for additional therapeutic services in a rural community. With 79.5% of patients completing a follow-up, the clinic demonstrates easy accessibility and reliable adherence.

Social Determinants of Health and Health Equity in the Diagnosis and Management of Pediatric Mild Traumatic Brain Injury: A Content Analysis of Research Underlying Clinical Guidelines

We conducted a content analysis of the literature underlying the Centers for Disease Control and Prevention (CDC) Guideline on the Diagnosis and Management of Mild Traumatic Brain Injury Among Children (i.e., the "Guideline") to determine the extent to which social determinants of health (SDoH) were examined or addressed. The systematic review forming the basis for the Guideline included 37 studies addressing diagnosis, prognosis, and treatment/rehabilitation. We examined those studies to identify SDoH domains derived from the U.S. Department of Health and Human Services' Healthy People 2020 and 2030 websites. No study explicitly mentioned "social determinants of health," by name, and few studies addressed SDoH domains as a primary focus (ranging from 0% to 27% of studies across SDoH domains). The most frequently represented SDoH domains, described in an inferential or a descriptive manner, were Education Access and Quality (29.7% of studies), Social and Community Context (27.0% of studies), and Economic Stability (21.6% of studies). Health Care Access (13.5% of studies) was less well represented and no studies (0%) examined Neighborhood and Built Environment. In terms of the CDC clinical questions, SDoH were only examined as predictors of outcome (prognosis) and no studies examined SDoH in relation to diagnosis or treatment/rehabilitation. The Guideline includes some commentary on health literacy and socioeconomic status. Overall, social determinants of health are largely unrepresented as important or meaningful variables influencing the Guideline on the Diagnosis and Management of Mild Traumatic Brain Injury Among Children, or in the studies that informed the Guideline.

Longitudinal, prospective study of head impacts in male high school football players

INTRODUCTION

Repetitive, subconcussive events may adversely affect the brain and cognition during sensitive periods of development. Prevention of neurocognitive consequences of concussion in high school football is therefore an important public health priority. We aimed to identify the player positions and demographic, behavioral, cognitive, and impact characteristics that predict the frequency and acceleration of head impacts in high school football players.

METHODS

In this prospective study, three cohorts of adolescent male athletes (N = 53, 28.3% Hispanic) were recruited over three successive seasons in a high school American football program. Demographic and cognitive functioning were assessed at baseline prior to participating in football. Helmet sensors recorded impact frequency and acceleration. Each head impact was captured on film from five different angles. Research staff verified and characterized on-field impacts. Player-level Poisson regressions and year-level and impact-level linear mixed-effect models were used to determine demographic, behavioral, cognitive, and impact characteristics as predictors of impact frequency and acceleration.

RESULTS

4,678 valid impacts were recorded. Impact frequency positively associated with baseline symptoms of hyperactivity-impulsivity [β(SE) = 1.05 impacts per year per unit of symptom severity (1.00), p = 0.01] and inattentiveness [β(SE) = 1.003 impacts per year per T-score unit (1.001), p = 0.01]. Compared to quarterbacks, the highest acceleration impacts were sustained by kickers/punters [β(SE) = 21.5 g's higher (7.1), p = 0.002], kick/punt returners [β(SE) = 9.3 g's higher (4.4), p = 0.03], and defensive backs [β(SE) = 4.9 g's higher (2.5), p = 0.05]. Impacts were more frequent in the second [β(SE) = 33.4 impacts (14.2), p = 0.02)] and third [β(SE) = 50.9 impacts (20.1), p = 0.01] year of play. Acceleration was highest in top-of-the-head impacts [β(SE) = 4.4 g's higher (0.8), p<0.001].

CONCLUSION

Including screening questions for Attention-Deficit/Hyperactivity Disorder in pre-participation evaluations can help identify a subset of prospective football players who may be at risk for increased head impacts. Position-specific strategies to modify kickoffs and correct tackling and blocking may also reduce impact burden.

Gender Differences in Adolescents' Affective Symptoms and Behavioral Disorders After Mild Traumatic Brain Injury

OBJECTIVE

Mild traumatic brain injuries (mTBI) are considered self-limiting and full recovery is expected. Recent studies identify deficits persisting years after mTBI. Large-scale prospective data permit testing the hypothesis that mTBI increases incidence of affective and behavioral symptoms after new, past , or new and past mTBI.

SETTING

The study involved secondary analyses of survey responses from the Adolescent Brain Cognitive Development (ABCD) Study.

PARTICIPANTS

Adolescents in the ABCD Study ( n = 11 869; Wave 1, aged 9-10 years; Wave 2, aged 11-12 years) whose parents reported a new ( n = 157), past ( n = 1318), or new and past ( n = 50) mTBI on the Ohio State University Traumatic Brain Injury Identification Method short form were compared with controls who had no history of mTBI ( n = 9,667).

DESIGN

Multivariable binary logistic regression models examined associations between a new, past, or new and past mTBI and current affective (aggression, depression, anxiety) and behavioral (somatic, thought, social, attention, attention deficit hyperactivity disorder, conduct) disorders while controlling for demographic factors and baseline symptoms.

MAIN MEASURES

The primary measure was parental reports of psychiatric and behavioral symptoms on the Child Behavior Checklist.

RESULTS

Girls exhibited no significant effects after a new mTBI, although a past mTBI increased anxiety (adjusted odds ratios [aOR] = 1.83, 95% confidence interval [CI: 1.15-2.90]) and attention (1.89 [1.09-3.28]) problems. Girls with new and past mTBIs reported elevated anxiety (17.90 [4.67-68.7]), aggression (7.37 [1.49-36.3]), social (9.07 [2.47-33.30]), thought (7.58 [2.24-25.60]), and conduct (6.39 [1.25-32.50]) disorders. In boys, new mTBI increased aggression (aOR = 3.83, 95% CI [1.42-10.30]), whereas past mTBI heightened anxiety (1.91 [1.42-2.95]), but new and past mTBIs had no significant effects.

CONCLUSION

Adolescents are at greater risk of affective and behavioral symptoms after an mTBI. These effects differ as a function of gender and time of injury. Extended screening for mTBI history and monitoring of affective and behavioral disorders after mTBI in adolescents are warranted.

Attention-Deficit/Hyperactivity Disorder and Outcome from Concussion: Examining Duration of Active Rehabilitation and Clinical Recovery

AIMS

The objective of this study was to compare recovery time and duration of active rehabilitation following concussion between adolescents with and without attention-deficit/hyperactivity disorder (ADHD).

METHODS

A retrospective cohort study was conducted among adolescents presenting to a specialty concussion clinic. One-quarter of the eligible episodes of care were selected. The final sample included 540 adolescents (ages 13-17 years, median age 15 years; 49.8% girls), of which 65 (12.0%) had a pre-injury diagnosis of ADHD. Days to recovery and days of active rehabilitation were examined.

RESULTS

ADHD was not associated with recovery time (ADHD: median = 49 days, IQR = 25-77; No ADHD: median = 47 days, IQR = 29-85) in univariate (Z = -0.45; p = 0.65) or multivariable analyses (Hazard Ratio: 1.17 (0.85-1.61); χ²(1) = 0.95; p = 0.33). The duration of active rehabilitation services received did not differ between youth with ADHD (median = 38.5 days, IQR = 27.5-54.5) and without ADHD (median = 37.5 days, IQR = 18.5-66) in univariate (Z = -0.19; p = 0.85) or multivariable analyses (Hazard Ratio: 1.04 (0.67-1.63); χ²(1) = 0.03; p = 0.85).

CONCLUSIONS

Our findings support accumulating evidence that ADHD, in and of itself, is not a risk factor for longer recovery or worse outcomes following pediatric concussion.