Are there seasonal patterns for emergency department visits for head injuries in the USA? Findings from the National Electronic Injury Surveillance System-All Injury Program.

INTRODUCTION: Previous international research suggests that the incidence of head injuries may follow seasonal patterns. However, there is limited information about how the numbers and rates of head injuries, particularly sports- and recreation-related head injuries, among adults and children evaluated in the emergency department (ED) vary by month in the USA. This information would provide the opportunity for tailored prevention strategies. METHODS: We analysed data from the National Electronic Injury Surveillance System-All Injury Program from 2016 to 2019 to examine both monthly variation of ED visit numbers and rates for head injuries overall and those due to sports and recreation. RESULTS: The highest number of head injuries evaluated in the ED occurred in October while the lowest number occurred in February. Among males, children ages 0-4 years were responsible for the highest rates of head injury-related ED visits each year, while in females the highest rates were seen in both children ages 0-4 and adults ages 65 and older. The highest number of head injuries evaluated in the ED due to sports and recreation were seen in September and October. Head injury-related ED visits due to sports and recreation were much more common in individuals ages 5-17 than any other age group. CONCLUSION: This study showed that head injury-related ED visits for all mechanisms of injury, as well as those due to sports- and recreation-related activities, followed predictable patterns-peaking in the fall months. Public health professionals may use study findings to improve prevention efforts and to optimise the diagnosis and management of traumatic brain injury and other head injuries.

Summary of the Centers for Disease Control and Prevention's Self-reported Traumatic Brain Injury Survey Efforts.

OBJECTIVE: Surveillance of traumatic brain injury (TBI), including concussion, in the United States has historically relied on healthcare administrative datasets, but these methods likely underestimate the true burden of TBI. The Centers for Disease Control and Prevention (CDC) has recently added TBI prevalence questions to several national surveys. The objective of this article is to summarize their recent efforts and report TBI prevalence estimates. SETTING: Surveys. PARTICIPANTS: Adult and youth respondents to a series of national surveys. DESIGN: Recent nationally representative surveys with either 12-month or lifetime TBI prevalence questions were identified. MAIN MEASURES: For each data source, survey methodology, TBI definition, question wording, and prevalence estimates were examined. RESULTS: TBI prevalence varied depending on the question wording and data source. Overall 12-month prevalence of concussion/TBI among adults ranged from 2% to 12% while overall lifetime prevalence of concussion or TBI ranged from 19% to 29%. Overall 12-month prevalence of concussion/TBI among children and adolescents was 10% while 12-month prevalence of sports- and recreation-related concussion for youth ranged from 7% to 15%. Overall lifetime prevalence of TBI among youth ranged from 6% to 14%. CONCLUSION: Survey data based on self-reported concussions and TBIs resulted in larger prevalence estimates than would be expected based on traditional surveillance methods. Analyses of the various surveys shows that how the questions are asked and what terminology is used can notably affect the estimates observed. Efforts can be made to optimize and standardize data collection approaches to ensure consistent measurement across settings and populations.

Rationale for the Development of a Traumatic Brain Injury Case Definition for the Pilot National Concussion Surveillance System.

BACKGROUND: Current methods of traumatic brain injury (TBI) morbidity surveillance in the United States have primarily relied on hospital-based data sets. However, these methods undercount TBIs as they do not include TBIs seen in outpatient settings and those that are untreated and undiagnosed. A 2014 National Academy of Science Engineering and Medicine report recommended that the Centers for Disease Control and Prevention (CDC) establish and manage a national surveillance system to better describe the burden of sports- and recreation-related TBI, including concussion, among youth. Given the limitations of TBI surveillance in general, CDC took this recommendation as a call to action to formulate and implement a robust pilot National Concussion Surveillance System that could estimate the public health burden of concussion and TBI among Americans from all causes of brain injury. Because of the constraints of identifying TBI in clinical settings, an alternative surveillance approach is to collect TBI data via a self-report survey. Before such a survey was piloted, it was necessary for CDC to develop a case definition for self-reported TBI. OBJECTIVE: This article outlines the rationale and process the CDC used to develop a tiered case definition for self-reported TBI to be used for surveillance purposes. CONCLUSION: A tiered TBI case definition is proposed with tiers based on the type of sign/symptom(s) reported the number of symptoms reported, and the timing of symptom onset.

Refinement of a Preliminary Case Definition for Use in Traumatic Brain Injury Surveillance.

OBJECTIVE: Current methods used to measure incidence of traumatic brain injury (TBI) underestimate its true public health burden. The use of self-report surveys may be an approach to improve these estimates. An important step in public health surveillance is to define a public health problem using a case definition. The purpose of this article is to outline the process that the Centers for Disease Control and Prevention undertook to refine a TBI case definition to be used in surveillance using a self-report survey. SETTING: Survey. PARTICIPANTS: A total of 10 030 adults participated via a random digit-dial telephone survey from September 2018 to September 2019. MAIN MEASURES: Respondents were asked whether they had sustained a hit to the head in the preceding 12 months and whether they experienced a series of 12 signs and symptoms as a result of this injury. DESIGN: Head injuries with 1 or more signs/symptoms reported were initially categorized into a 3-tiered TBI case definition (probable TBI, possible TBI, and delayed possible TBI), corresponding to the level of certainty that a TBI occurred. Placement in a tier was compared with a range of severity measures (whether medical evaluation was sought, time to symptom resolution, self-rated social and work functioning); case definition tiers were then modified in a stepwise fashion to maximize differences in severity between tiers. RESULTS: There were statistically significant differences in the severity measure between cases in the probable and possible TBI tiers but not between other tiers. Timing of symptom onset did not meaningfully differentiate between cases on severity measures; therefore, the delayed possible tier was eliminated, resulting in 2 tiers: probable and possible TBI. CONCLUSION: The 2-tiered TBI case definition that was derived from this analysis can be used in future surveillance efforts to differentiate cases by certainty and from noncases for the purpose of reporting TBI prevalence and incidence estimates. The refined case definition can help researchers increase the confidence they have in reporting survey respondents' self-reported TBIs as well as provide them with the flexibility to report an expansive (probable + possible TBI) or more conservative (probable TBI only) estimate of TBI prevalence.

Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot.

OBJECTIVE: The objective is to determine whether unsupervised machine learning identifies traumatic brain injury (TBI) phenotypes with unique clinical profiles. METHODS: Pilot self-reported survey data of over 10,000 adults were collected from the Centers for Disease Control and Prevention (CDC)'s National Concussion Surveillance System (NCSS). Respondents who self-reported a head injury in the past 12 months (n = 1,364) were retained and queried for injury, outcome, and clinical characteristics. An unsupervised machine learning algorithm, partitioning around medoids (PAM), that employed Gower's dissimilarity matrix, was used to conduct a cluster analysis. RESULTS: PAM grouped respondents into five TBI clusters (phenotypes A-E). Phenotype C represented more clinically severe TBIs with a higher prevalence of symptoms and association with worse outcomes. When compared to individuals in Phenotype A, a group with few TBI-related symptoms, individuals in Phenotype C were more likely to undergo medical evaluation (odds ratio [OR] = 9.8, 95% confidence interval[CI] = 5.8-16.6), have symptoms that were not currently resolved or resolved in 8+ days (OR = 10.6, 95%CI = 6.2-18.1), and more likely to report at least moderate impact on social (OR = 54.7, 95%CI = 22.4-133.4) and work (OR = 25.4, 95%CI = 11.2-57.2) functioning. CONCLUSION: Machine learning can be used to classify patients into unique TBI phenotypes. Further research might examine the utility of such classifications in supporting clinical diagnosis and patient recovery for this complex health condition.

Emergency Department Visits by Incarcerated Adults for Nonfatal Injuries - United States, 2010-2019.

During 2010-2019, U.S. correctional authorities held 1.4-1.6 million persons in state and federal prisons annually, and 10.3-12.9 million persons were admitted to local jails each year (1,2). Incarcerated persons experience a disproportionate burden of negative health outcomes, including unintentional and violence-related injuries (3,4). No national studies on injury-related emergency department (ED) visits by incarcerated persons have been conducted, but a previous study demonstrated a high rate of such visits among a Seattle, Washington jail population (5). To examine nonfatal injury-related ED visits among incarcerated adults, CDC analyzed 2010-2019 National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) data. During 2010-2019, an estimated 733,547 ED visits by incarcerated adults occurred in the United States. The proportion of ED visits resulting from assault* and self-harm among incarcerated adults was five times as high as those among nonincarcerated adults. Among incarcerated adults, men and adult persons aged <65 years had the highest proportion of assault-related ED visits. Falls accounted for the most ED visits among incarcerated adults aged ≥65 years. A higher proportion of ED visits by incarcerated women than incarcerated men were for overdose or poisoning. These findings suggest that injuries among incarcerated adults differ from those among nonincarcerated adults and might require development and implementation of age- and sex-specific prevention strategies for this population.

Does binge drinking mediate the relationship between four adverse childhood experiences and adult traumatic brain injury? Results from the National Longitudinal Survey of Youth 1979 Cohort.

OBJECTIVE: Adverse childhood experiences (ACEs) are associated with increased risk of sustaining a traumatic brain injury (TBI). Alcohol use may play an important role in this relationship. This study examines whether binge drinking mediates the relationship between four ACEs and TBIs sustained in adulthood. METHODS: Using the National Longitudinal Survey of Youth, 1979 cohort, we conducted longitudinal mediation analyses (n=6317). Interviews occurred annually from 1979 to 1994 and biennially until 2016. We evaluated the direct and indirect effects of individual ACEs (ie, experiencing physical violence, low parental warmth, familial alcoholism and familial mental illness; reported retrospectively) and a cumulative ACEs score on mean level of binge drinking (calculated across waves) and having a TBI in adulthood. To establish temporality, we included binge drinking that was measured at age 18 or older and before any reported TBI. RESULTS: Cumulative ACEs, familial alcoholism and physical abuse exposure were significantly associated with having a TBI through binge drinking, although this only explained a small part of the association between ACEs and TBI. Other ACEs were not significantly associated with binge drinking or TBI. CONCLUSION: The results indicate that while ACEs and adult TBI risk were significantly associated, lifetime binge drinking explains only a small part of the association. Future research could examine alternative social, biological and behavioural mechanisms along the pathway between ACEs and TBI. Determining this mechanism will allow public health practitioners to design and implement effective TBI prevention programmes for those at higher risk of injury due to ACE exposure.

Comparison of self-reported lifetime concussions and mild traumatic brain injuries among adults.

INTRODUCTION: The reliability of self-reported brain injury data relies on how well people interpret the questions. OBJECTIVE: This study examines how different yet commonly used questions may impact traumatic brain injury (TBI) estimates. METHODS: Self-report data were collected from 4,053 respondents in the summer wave of Porter Novelli's 2020 ConsumerStyles survey. Respondents were randomized to be asked about lifetime experience of either concussion or mild TBI (mTBI) and then asked follow-up questions. RESULTS: Approximately 25.5% of respondents reported sustaining a concussion in their lifetime while 17.2% reported an mTBI. The circumstances of the injuries, such as location and mechanism of injury, were similar. A greater percentage of individuals who were asked about concussions (91.1%) reported receiving a diagnosis for their most serious injury compared to those who were asked about diagnosis of an mTBI (69.9%). DISCUSSION: A greater percentage of respondents reported a lifetime history of concussion than mTBI. More respondents with a lifetime history of concussion reported receiving a diagnosis. These results suggest that the terminology used can impact reporting. These findings suggest that there is a meaningful difference in the understanding of the terms 'concussion' and 'mild TBI,' with people perceiving mTBI as a more serious injury.

Traumatic Brain Injury-Related Hospitalizations and Deaths in Urban and Rural Counties-2017.

STUDY OBJECTIVE: A better understanding of differences in traumatic brain injury incidence by geography may help inform resource needs for local communities. This paper presents estimates on traumatic brain injury-related hospitalizations and deaths by urban and rural county of residence. METHODS: To estimate the incidence of traumatic brain injury-related hospitalizations, data from the 2017 Healthcare Cost and Utilization Project's National Inpatient Sample were analyzed (n=295,760). To estimate the incidence of traumatic brain injury-related deaths, the Centers for Disease Control and Prevention's National Vital Statistics System multiple-cause-of-death files were analyzed (n=61,134). Datasets were stratified by residence, sex, principal mechanism of injury, and age group. Traumatic brain injury-related hospitalizations were also stratified by insurance status and hospital location. RESULTS: The rate of traumatic brain injury-related hospitalizations was significantly higher among urban (70.1 per 100,000 population) than rural residents (61.0), whereas the rate of traumatic brain injury-related deaths was significantly higher among rural (27.5) than urban residents (17.4). These patterns held for both sexes, individuals age 55 and older, and within the leading mechanisms of injury (ie, suicide, unintentional falls). Among patients with Medicare or Medicaid, the rate of traumatic brain injury-related hospitalizations was higher among urban residents; there was no urban/rural difference with other types of insurance. Nearly all (99.6%) urban residents who were hospitalized for a traumatic brain injury received care in an urban hospital. Additionally, approximately 80.3% of rural residents were hospitalized in an urban hospital. CONCLUSION: Urban residents had a higher rate of traumatic brain injury-related hospitalizations, whereas rural residents had a higher rate of traumatic brain injury-related deaths. This disparity deserves further study using additional databases that assess differences in mechanisms of injury and strategies to improve access to emergency care among rural residents.

Concussion Evaluation Patterns Among US Adults.

OBJECTIVE: The objective of this study was to compare individuals who were not evaluated by a doctor or nurse for a self-reported concussion versus individuals who were evaluated for a concussion by demographic variables, concussion history, and concussion circumstances. SETTINGS AND PARTICIPANTS: Data were collected from 2018 SpringStyles, a web-based panel survey of US adults 18 years or older ( n = 6427), fielded in March-April. DESIGN: Cross-sectional. MAIN MEASURES: Respondents were asked whether they believed they had sustained a concussion in their lifetime and details about their most recent concussion, including whether they were evaluated by a doctor or nurse. RESULTS: Twenty-seven percent of adults in the survey reported a lifetime concussion ( n = 1835). Among those individuals, 50.4% were not evaluated by a healthcare provider for their most recent concussion. Not being evaluated was higher among individuals whose concussion was caused by a slip, trip, or fall (adjusted prevalence ratio [APR] = 2.22; 95% CI, 1.65-2.99), riding a bicycle (APR = 2.28; 95% CI, 1.58-3.27), being struck by or against something by accident (APR = 2.50; 95% CI, 1.88-3.34), or being struck by or against something during a fight or argument (APR = 2.89; 95% CI, 2.11-3.97), compared with individuals whose concussion was caused by a motor vehicle crash. No evaluation was also higher among individuals whose concussion occurred while engaging in a sports or recreational activity (APR = 1.39; 95% CI, 1.07-1.82) or engaging in regular activities around the house (APR = 1.65; 95% CI, 1.27-2.14), compared with individuals whose concussion occurred while working for pay. CONCLUSION: More than a quarter of adults reported a lifetime concussion; however, half of them were not evaluated for their last concussion by a healthcare provider. Examination by a healthcare professional for a suspected concussion may prevent or mitigate potential long-term sequelae. Furthermore, current US surveillance methods may underestimate the burden of TBI because many individuals do not seek evaluation.

Association Between Self-Reported Disability and Lifetime History of Traumatic Brain Injury With Loss of Consciousness Among Veterans and Nonveterans in North Carolina.

BACKGROUND: Compared with civilians, service members and veterans who have a history of traumatic brain injury (TBI) are more likely to experience poorer physical and mental health. To investigate this further, this article examines the association between self-reported history of TBI with loss of consciousness and living with 1 or more current disabilities (ie, serious difficulty with hearing, vision, cognition, or mobility; any difficulty with self-care or independent living) for both veterans and nonveterans. METHODS: A cross-sectional study using data from the North Carolina Behavioral Risk Factor Surveillance System for 4733 veterans and nonveterans aged 18 years and older. RESULTS: Approximately 34.7% of veterans residing in North Carolina reported having a lifetime history of TBI compared with 23.6% of nonveterans. Veterans reporting a lifetime history of TBI had a 1.4 times greater risk of also reporting living with a current disability (adjusted prevalence ratio = 1.4; 95% confidence interval, 1.2-1.8) compared with nonveterans. The most common types of disabilities reported were mobility, cognitive, and hearing. CONCLUSIONS: Compared with nonveterans, veterans who reported a lifetime history of TBI had an increased risk of reporting a current disability. Future studies, such as longitudinal studies, may further explore this to inform the development of interventions.

Examination of Behaviors and Health Indicators for Individuals with a Lifetime History of Traumatic Brain Injury with Loss of Consciousness: 2018 BRFSS North Carolina.

BACKGROUND Evidence suggests that those who have sustained a traumatic brain injury (TBI) are at increased risk of adverse behaviors and health indicators, such as certain chronic physical and mental health conditions. However, little is known about the prevalence of these behaviors and health indicators among these individuals, information that could help decrease their risk of developing such conditions.METHODS Data (N = 4733) from the 2018 North Carolina Behavioral Risk Factor Surveillance System (BRFSS) were analyzed to determine the prevalence of behaviors and health indicators among individuals who report having a lifetime history of TBI with loss of consciousness (LOC).RESULTS North Carolinians who report a lifetime history of TBI with LOC were at increased risk of reporting a range of 3 negative health behaviors: less than always seatbelt use (adjusted odds ratio [AOR] = 1.7; 95% confidence interval [CI] = 1.2-2.4), HIV risk behaviors (AOR = 1.7; 95% CI = 1.1-2.6), and reporting less than 7 hours of sleep (AOR = 1.5; 95% CI = 1.2-1.8); more difficulty obtaining health care (not seeing a doctor due to health care cost in the past 12 months [AOR = 1.3; 95% CI = 1.0-1.8]; not getting a routine medical check-up in the past 12 months [AOR = 1.5; 95% CI = 1.2-2.0]); worse self-reported health (fair or poor general health [AOR = 1.8; 95% CI = 1.4-2.3]); and reporting fair or poor mental health (AOR = 2.1; 95% CI = 1.6-2.8) compared with individuals who did not report a history of TBI.LIMITATIONS There are several limitations to the study, such as the sample being biased toward more severe brain injuries. Additionally, because the data in the BRFSS are retrospective and cross-sectional, it is not possible to determine temporality and causality between TBI history and the behaviors and health indicators examined.CONCLUSION Despite these limitations, this paper is one of the first to directly examine the association between history of TBI with LOC and a range of current behaviors and health care utilization. Assessing positive and negative behaviors and health indicators can help identify and tailor evidence-based interventions for those who have a history of TBI.

Challenges and opportunities in diagnosing and managing mild traumatic brain injury in rural settings.

INTRODUCTION: There is some evidence to suggest that Americans living in rural areas are at increased risk for sustaining a traumatic brain injury (TBI) compared to those living in urban areas. In addition, once a TBI has been sustained, rural residents have worse outcomes, including a higher risk of death. Individuals living in rural areas tend to live farther from hospitals and have less access to TBI specialists. Aside from these factors, little is known what challenges healthcare providers practicing in rural areas face in diagnosing and managing TBI in their patients and what can be done to overcome these challenges. METHODS: Seven focus groups and one individual interview were conducted with a total of 18 healthcare providers who mostly practiced in primary care or emergency department settings in rural areas. Providers were asked about common mechanisms of TBI in patients that they treat, challenges they face in initial and follow-up care, and opportunities for improvement in their practice. RESULTS: The rural healthcare providers reported that common mechanisms of injury included sports-related injuries for their pediatric and adolescent patients and work-related accidents, motor vehicle crashes, and falls among their adult patients. Most providers felt prepared to diagnose and manage their patients with TBI, but acknowledged a series of challenges they face, including pushback from parents, athletes, and coaches and lack of specialists to whom they could refer. They also noted that patients had their own barriers to overcome for timely and adequate care, including lack of access to transportation, difficulties with cost and insurance, and denial about the seriousness of the injury. Despite these challenges, the focus group participants also outlined benefits to practicing in a rural area and several ways that their practice could improve with support. CONCLUSION: Rural healthcare providers may be comfortable diagnosing, treating, and managing their patients who present with a suspected TBI, but they also face many challenges in their practice. In this study it was continually noted that there was lack of resources and a lack of awareness, or recognition of the seriousness of TBI, among the providers' patient populations. Education about common symptoms and the need for evaluation after an injury is needed. The use of telemedicine, an increasingly common technology, may help close some gaps in access to services. People living in rural areas may be at increased risk for TBI. Healthcare providers who work in these areas face many challenges but have found ways to successfully manage the treatment of this injury in their patients.

Emergency Department Visits for Bicycle-Related Traumatic Brain Injuries Among Children and Adults - United States, 2009-2018.

Bicycling leads to the highest number of sport and recreation-related emergency department (ED) visits for traumatic brain injuries (TBIs) in the United States (1). Because bicycling continues to grow in popularity,* primarily among U.S. adults, examining the strategies that mitigate the risk for TBI is important. CDC analyzed data from the National Electronic Injury Sursveillance System-All Injury Program (NEISS-AIP) to determine the incidence of EDs for bicycle-related TBIs during 2009-2018. An estimated 596,972 ED visits for bicycle-related TBIs occurred in the United States during the study period. Rates of ED visits were highest among adult males (aged ≥18 years) and among children and adolescents aged 10-14 years during 2009-2018. Overall, the rate of ED visits for bicycle-related TBIs decreased by approximately one half (48.7%) among children and by 5.5% among adults. As the number of persons riding bicycles increases, expansion of comprehensive bicycling safety interventions for bicyclists and drivers by states and local communities, such as interventions to increase driver compliance with traffic laws and helmet use among riders, improvements in bicycling infrastructure, and customized interventions for males and other groups at high risk might help reduce bicycle-related injuries.

Differences in State Traumatic Brain Injury-Related Deaths, by Principal Mechanism of Injury, Intent, and Percentage of Population Living in Rural Areas - United States, 2016-2018.

Traumatic brain injuries (TBIs) have contributed to approximately one million deaths in the United States over the last 2 decades (1). CDC analyzed National Vital Statistics System (NVSS) mortality data for a 3-year period (2016-2018) to examine numbers and rates of TBI-related deaths, the percentage difference between each state's rate and the overall U.S. TBI-related death rate, leading causes of TBI, and the association between TBI and a state's level of rurality. During 2016-2018, a total of 181,227 TBI-related deaths (17.3 per 100,000 population per year) occurred in the United States. The percentage difference between state TBI-related death rates and the overall U.S. rate during this period ranged from 46.2% below to 101.2% above the overall rate. By state, the lowest rate was in New Jersey (9.3 per 100,000 population per year); the states with the highest rates were Alaska (34.8), Wyoming (32.6), and Montana (29.5). States in the South and those with a higher proportion of residents living in rural areas had higher rates, whereas states in the Northeast and those with a lower proportion of residents living in rural areas had lower TBI-related death rates. In 43 states, suicide was the leading cause of TBI-related deaths; in other states, unintentional falls or unintentional motor vehicle crashes were responsible for the highest numbers and rates of TBI-related deaths. Consistent with previous studies (2), differences in TBI incidence and outcomes were observed across U.S. states; therefore, states can use these findings to develop and implement evidence-based prevention strategies, based on their leading causes of TBI-related deaths. Expanding evidence-based prevention strategies that address TBI-related deaths is warranted, especially among states with high rates due to suicide, unintentional falls, and motor vehicle crashes.

Healthcare Providers' Self-Reported Pediatric Mild Traumatic Brain Injury Diagnosis, Prognosis, and Management Practices: Findings From the 2019 DocStyles Survey.

OBJECTIVE: To assess adherence to 5 key recommendations in the Centers for Disease Control and Prevention evidence-based guideline on pediatric mild traumatic brain injury, this article presents results from the 2019 DocStyles survey. STUDY DESIGN: Cross-sectional, web-based survey of 653 healthcare providers. RESULTS: Most healthcare providers reported adhering to the recommendations regarding the use of computed tomography and providing education and reassurance to patients and their families. However, less than half reported routinely examining their patients with mild traumatic brain injury (mTBI) using age-appropriate, validated symptom scales, assessing for risk factors for prolonged recovery, and advising patients to return to noncontact, light aerobic activities within 2 to 3 days. Self-reported mTBI diagnosis, prognosis, and management practices varied by specialty. Only 3.8% of healthcare providers answered all 7 questions in a way that is most consistent with the 5 recommendations examined from the Centers for Disease Control and Prevention Pediatric mTBI Guideline. CONCLUSION: This study highlights several important information gaps regarding pediatric mTBI diagnosis and management. Further efforts to improve adoption of guideline recommendations may be beneficial to ensure optimal outcomes for children following an mTBI.

Lifetime History of Traumatic Brain Injury With Loss of Consciousness and the Likelihood for Lifetime Depression and Risk Behaviors: 2017 BRFSS North Carolina.

OBJECTIVE: Because of the growing concern about the potential effects of traumatic brain injuries (TBIs) on a child's developing brain and the potential impact of lifetime depression and risk behaviors associated with TBI, further exploration is warranted. SETTING AND PARTICIPANTS: Data (N = 4917) from the 2017 North Carolina Behavioral Risk Factors Surveillance System (BRFSS). DESIGN: Cross-sectional. MAIN MEASURES: Examine whether a lifetime history of TBI with loss of consciousness (LOC) or having a history of TBI with LOC prior to 18 years of age was associated with a greater likelihood of lifetime depression, current binge drinking, and current cigarette and e-cigarette smoking. RESULTS: Respondents with a history of TBI with LOC had 2.1 (95% CI, 1.6-2.8) times higher odds of lifetime depression and 1.7 to 1.8 (95% CI, 1.02-2.97) times higher odds of all risk behaviors than those without a lifetime history of TBI with LOC. There were no statistical differences between age of first TBI with LOC and lifetime depression, binge drinking, cigarette smoking, and e-cigarette use after controlling for key demographics. CONCLUSION: These findings underscore the importance of increasing awareness among healthcare providers of the prevalence of lifetime depression and risk behaviors among individuals with a history of TBI and the need for improved screening and referrals to evidence-based services.

Symptom profile of affirmative responses to a self-report concussion question, United States 2019.

Information is limited about signs and symptoms experienced by individuals who self-report a concussion within surveys. The objective of this study was to assess the number and types of signs/symptoms adults experienced and whether or not medical attention was reported after sustaining a self-reported concussion in the past year. A sample of 3,624 adults responded to the web-based 2019 FallStyles survey. Respondents were asked if they had sustained a concussion in the past 12 months and if so, which (if any) signs/symptoms they experienced following the injury. The frequency and percentages of symptoms were calculated. Approximately 2.9% of respondents reported a concussion in the past year. Approximately two-thirds of respondents who reported sustaining a recent concussion stated that they experienced two or more signs/symptoms; the remaining one-third reported zero or one symptom. The findings suggest self-report concussion questions need additional improvement, particularly those that capture concussion using a single question, to improve the validity of self-reports.

Self-Reported Lifetime Concussion Among Adults: Comparison of 3 Different Survey Questions.

OBJECTIVE: Because of limitations in current national data sets, respondent self-report may be critical to obtaining concussion prevalence estimates. We examined whether self-report of lifetime concussion among adults varies with the provision of a concussion definition and by the content of that definition. SETTING AND PARTICIPANTS: A convenience sample of 6427 American adults who participated in the 2018 Porter Novelli SpringStyles survey. DESIGN: Cross-sectional. MAIN MEASURES: Frequency of self-reported concussion by variation in concussion definition. RESULTS: A quarter of respondents (28.9%) reported experiencing a concussion in their lifetime. While concussion prevalence varied by demographic characteristics, it did not vary significantly by concussion definition. Variation in concussion definition did not result in differences related to recency of last concussion, mechanism of injury, or respondent activity engaged in during which they sustained their most recent concussion. CONCLUSION: The current study suggested that in this sample of adults, the percentage reporting a concussion did not significantly vary by whether a concussion definition was provided or by the content of the definition. However, research suggests that prompting about mechanism of injury, listing symptoms individually, and considering only athletic populations may affect estimates and these factors should be included in future question comparisons.

State-Level Numbers and Rates of Traumatic Brain Injury-Related Emergency Department Visits, Hospitalizations, and Deaths by Sex, 2014.

OBJECTIVE: To provide state-level traumatic brain injury (TBI)-related emergency department (ED) visit, hospitalization, and death estimates by sex for 2014. SETTING AND PARTICIPANTS: Centers for Disease Control and Prevention's Core Violence and Injury Prevention Program and State Injury Indicators-participating states. DESIGN: Cross-sectional. MAIN MEASURES: Number and rate of TBI-related ED visits, hospitalizations, and deaths (indicators) by sex in over 25 states. RESULTS: Across all states that supplied data, males had higher rates of TBI-related ED visits, hospitalizations, and deaths than females. However, for some indicators, high rates for both sexes and low rates for both sexes appeared clustered in a specific region of the United States. There was also within-state variability in TBI rates by indicator and sex. For example, within-state variability between sexes ranged from as low as 2.8% for ED visits and as high as 335% for deaths. CONCLUSION: TBI-related ED visits, hospitalizations, and deaths varied by state and by sex, and evidence was found for within-state variability in TBI rates by indicator and sex in 2014. Differences in TBI indicators by sex may have important implications for public health professionals implementing TBI prevention and care strategies at the state level.