Update on the Epidemiology of Concussion/Mild Traumatic Brain Injury

Twitter and traumatic brain injury: A content and sentiment analysis of tweets pertaining to sport-related brain injury

Objectives:

Sport-related traumatic brain injuries are a significant public health burden, with hundreds of thousands sustained annually in North America. While sports offer numerous physical and social health benefits, traumatic brain injuries such as concussion can seriously impact a player’s life, athletic career, and sport enjoyment. The culture in many sports encourages winning at all costs, placing athletes at risk for traumatic brain injuries. As social media has become a central part of everyday life, the content of users’ messages often reflects the prevailing culture related to a particular event or health issue.

Methods:

We hypothesized that Twitter data might be useful for understanding public perceptions and misperceptions of sport-related traumatic brain injuries. We performed a content and sentiment analysis of 7483 Twitter^® tweets related to traumatic brain injuries in sports collected during June and July 2013.

Results:

We identified five major themes. Users tweeted about personal traumatic brain injuries experiences, reported traumatic brain injuries in professional athletes, shared research about sport-related concussions, and discussed policy and safety in injury prevention, such as helmet use. We identified mixed perceptions of and sentiment toward traumatic brain injuries in sports: both an understanding that brain injuries are serious and disregard for activities that might reduce the public burden of traumatic brain injuries were prevalent in our Twitter analysis.

Conclusion:

While the scientific and medical community considers a concussion a form of traumatic brain injuries, our study demonstrates a misunderstanding of this fact among the public. In our current digital age, social media can provide useful insight into the culture around a health issue, facilitating implementation of prevention and treatment strategies.

Sleep and Psychiatric Disorders in Persons With Mild Traumatic Brain Injury

Mild traumatic brain injury (mTBI) frequently challenges the integrity of sleep function by affecting multiple brain areas implicated in controlling the switch between wakefulness and sleep and those involved in circadian and homeostatic processes; the malfunction of each causes a variety of disorders. In this review, we discuss recent data on the dynamics between disorders of sleep and mental/psychiatric disorders in persons with mTBI. This analysis sets the stage for understanding how a variety of physiological, emotional and environmental influences affect sleep and mental activities after injury to the brain. Consideration of the intricate links between sleep and mental functions in future research can increase understanding on the underlying mechanisms of sleep-related and psychiatric comorbidity in mTBI.

Big Data in traumatic brain injury; promise and challenges

Traumatic brain injury (TBI) is a spectrum disease of overwhelming complexity, the research of which generates enormous amounts of structured, semi-structured and unstructured data. This resulting big data has tremendous potential to be mined for valuable information regarding the "most complex disease of the most complex organ". Big data analyses require specialized big data analytics applications, machine learning and artificial intelligence platforms to reveal associations, trends, correlations and patterns not otherwise realized by current analytical approaches. The intersection of potential data sources between experimental TBI and clinical TBI research presents inherent challenges for setting parameters for the generation of common data elements and to mine existing legacy data that would allow highly translatable big data analyses. In order to successfully utilize big data analyses in TBI, we must be willing to accept the messiness of data, collect and store all data and give up causation for correlation. In this context, coupling the big data approach to established clinical and pre-clinical data sources will transform current practices for triage, diagnosis, treatment and prognosis into highly integrated evidence-based patient care.

Neuropsychiatric aspects of concussion

Over the past decade, concussion has become the most widely discussed injury in contact sports. However, concussions also occur in several other settings, such as non-contact sports, elderly individuals, young children, military personnel, and victims of domestic violence. Concussion is frequently undiagnosed as a cause of psychiatric morbidity, especially when the patient has no history of loss of consciousness or direct head trauma. Almost all of the extant literature focuses on traumatic brain injury and assumes that concussion is merely a mild form of traumatic brain injury, which has resulted in a lack of understanding about what concussion is, and how to diagnose, monitor, and treat its varied neuropsychiatric symptoms. In this Review, we address key issues so that the psychiatric clinician can better understand and treat patients with a clinical phenotype that might be the direct result of, or be exacerbated by, concussion. Future research needs to focus on prospective clinical trials in all affected patient populations (ie, those affected by concussion and those affected by various degrees of traumatic brain injury), the identification of reliable biomarkers that can be used to assist with diagnosis and treatment response, and the development of effective treatment interventions. Clearly differentiating concussion from traumatic brain injury is essential to achieve reliable and clinically relevant outcomes.

Health-Related Quality of Life after Pediatric Mild Traumatic Brain Injury/Concussion: A Systematic Review

Health-related quality of life (HRQOL) is an emerging method to quantify the consequences of pediatric mild traumatic brain injury (mTBI)/concussion in both clinical practice and research. However, to utilize HRQOL measurements to their full potential in the context of mTBI/concussion recovery, a better understanding of the typical course of HRQOL after these injuries is needed. The objective of this study was to summarize current knowledge on HRQOL after pediatric mTBI/concussion and identify areas in need of further research. The following databases from their earliest date of coverage through June 1, 2015 were used: MEDLINE(®), PubMed, Embase, Scopus, Cumulative Index to Nursing and Allied Health Literature (CINAHL), SPORTDiscus, Cochrane Central Register of Controlled Trials (CENTRAL), Physiotherapy Evidence Database (PEDro), and Child Development and Adolescent Studies (CDAS). Studies must have examined and reported HRQOL in a pediatric population after mTBI/concussion, using a validated HRQOL measurement tool. Eight of 1660 records identified ultimately met inclusion criteria. Comprehensive data were extracted and checked by a second reviewer for accuracy and completeness. There appears to be a small but important subgroup of patients who experience poor HRQOL outcomes up to a year or longer post-injury. Potential predictors of poor HRQOL include older age, lower socioeconomic status, or a history of headaches or trouble sleeping. Differing definitions of mTBI precluded meta-analysis. HRQOL represents an important outcome measure in mTBI/concussion clinical practice and research. The evidence shows that a small but important proportion of patients have diminished HRQOL up to a year or longer post-injury. Further study on this topic is warranted to determine the typical longitudinal progression of HRQOL after pediatric concussion.