Gun-free zones and active shootings in the United States: a matched case-control study.

Background: Most Americans believe that gun-free zones make locations more vulnerable to violent crimes, particularly active shootings. However, there is no empirical evidence regarding the impact of gun-free zones on protecting locations from violence. The objective of this study was to estimate the association between gun-free zones and active shootings. Methods: We used a pair-matched case-control study where cases were all US establishments where active shootings occurred between 2014 and 2020, and controls were randomly selected US establishments where active shootings could have but did not occur, pair-matched by establishment type, year, and county. Gun-free status of included establishments was determined via local laws, company policy, news reporting, Google Maps and posted signage, and calling establishments. Findings: Of 150 active shooting cases, 72 (48.0%) were determined to have occurred in a gun-free zone. Of 150 controls where no active shooting occurred, 92 (61.3%) were determined to be gun-free. After accounting for matched pairs, the conditional odds of an active shooting in gun-free establishments were 0.38 times those in non-gun-free establishments, with a 95% confidence interval of 0.19-0.73 (p-value = 0.0038). Several robustness analyses affirmed these findings. Interpretation: It is unlikely that gun-free zones attract active shooters; gun-free zones may be protective against active shootings. This study challenges the proposition of repealing gun-free zones based on safety concerns. Funding: This work was funded in part by the National Collaborative on Gun Violence Research and the Arnold Foundation.

Association between e-scooter temporal usage patterns with injuries resulting in admission to a level one trauma center.

BACKGROUND: As e-scooters have become common modes of transportations in urban environments, riding e-scooters has become a common mechanism of injury. This study examines the relationship between when riders are using these devices (i.e. day of week, and time of the day) and injury incidence based on data from a large U.S. city. METHODS: This study is a retrospective cohort study of patients in the trauma registry at a level one trauma center. Registry data were combined with a publicly available dataset of all e-scooter trips that occurred during the study period. Frequency of injuries and trips were analyzed using ANOVA. Poisson regressions were conducted to calculate incidence rate ratios associated with injury incidence by day of the week and time of day. RESULTS: A total of 194 injured e-scooter patients were admitted to the trauma center during the study period. Patients were injured most often on Fridays (21%) and most often presented between 18:00-23:59 (38%). E-Scooter riders in general, most often rode on Saturdays (20%) and between 12:00-17:59 (44%). There was no significant relationship between day of week and injury. Riders in the early morning (IRR = 16.7, p < .001 95% CI: 10.5, 26.6), afternoon (IRR = 2.0, p = .01 95% CI: 1.2, 3.4), and evening (IRR = 3.7, p < .001 95% CI: 2.3, 6.2) had significant increased injury incidence compared to morning riders. CONCLUSION: E-Scooter injury incidence varies by the time of day. The time of day in which a person rides an e-scooter can have a significant impact on the likelihood that the person will sustain an injury.

Shirtsleeves to shirtsleeves in three research generations. A project on the science of science and the exceedingly rare circumstances that sustain research legacies from a mentor to mentee and to theirs: A case study on firearm research.

Background: In the 50 years since public health firearm research began, the decades have witnessed several pioneering investigators, followed by NRA backlash and a CDC funding moratorium, then increasing firearm mortality punctuated by mass shootings, and finally an unprecedented release of funding dedicated for research and to support trainees. Motivated by my own efforts to stay productive in firearm research, by the shirtsleeves-to-shirtsleeves cautionary lesson that wealth - for us this a researcher's funding, infrastructure, and capacity - amassed by one generation will soon diminish, and by my worry that we are not adequately dedicated to growing new investigators, I set out to document researcher lineages in this field. Methods: I created a multigenerational lineage map to find authors using "gun" or "firearm" in the title/abstract as a way to find peer-reviewed publications on firearms as a public health issue. I designated the first author as Gen1 if the manuscript was sole authored or the senior author had never been first author on a firearm publication. I plotted each Gen1 author at the year of their first first-authored publication, and pointed from them to subsequent "first-time first-author investigators" (Gen2) for whom they were senior author, and so on for a Gen2 serving as senior author for a Gen3, and so on in that lineage. Results: Gen1 authors numbered 91 by 2023, the first being Rushforth in 1974.3 Rushforth, 14 years later, produced the first and his only Gen2 author, Paulson,4 who produced no Gen3 authors. The field had produced 6 Gen2 authors when the first Gen3 author appeared in 1993, who produced the first Gen4 author in 1998, 14 years after Kraus5 that initiated that lineage in 1984. To date, only 5 lineages have produced a Gen4 author and among those only one lineage, from Schwab in 2002,6 has produced a Gen5. Twenty-four Gen3 authors have emerged. Only 35% of Gen2 authors produced a Gen3. Conclusion: I hope this motivates years-long strategies to help trainees become established, informed by modeling quantitative and qualitative data to identify characteristics underlying the investigator network related to productivity and shortcomings alike. Without dedication to understand the science of science, shirtsleeves-to-shirtsleeves in three generations may be the fate of firearm research.

Firearm ownership for protection in the USA, 2023: results from a nationally representative survey.

OBJECTIVE: This study aims to characterise the motivations of firearm owners and examine whether firearm ownership motivations and carriage varied by state stand your ground law status. METHODS: Using a nationally representative survey of US adults in 2023, we asked firearm owners (n=2477) about their firearm motivations and behaviours, including reason(s) for ownership. RESULTS: Of all firearm owners, 78.8% (95% CI 76.0% to 81.0%) owned a firearm for protection, and 58.1% (95% CI 54.3% to 62.0%) carried a firearm outside their home in the last 12 months. Firearm ownership for protection was not significantly associated with stand your ground laws, but firearm carriage was more prevalent in states with stand your ground laws (50.1% (95% CI 47.0% to 53.0%) vs 34.9% (95% CI 25.0% to 46.0%)). Gender (women) and race (minority groups) emerged as key correlates for firearm ownership for protection (vs other ownership motivations). For example, black and Asian women (98.8%) almost exclusively owned firearms for protection. CONCLUSIONS: Protection was the dominant reason for firearm ownership in 2023, motivating 65 million Americans to own firearms and appealing to different strata of the population.

A randomized trial of behavioral interventions yielding sustained reductions in distracted driving.

Distracted driving is responsible for nearly 1 million crashes each year in the United States alone, and a major source of driver distraction is handheld phone use. We conducted a randomized, controlled trial to compare the effectiveness of interventions designed to create sustained reductions in handheld use while driving (NCT04587609). Participants were 1,653 consenting Progressive® Snapshot® usage-based auto insurance customers ages 18 to 77 who averaged at least 2 min/h of handheld use while driving in the month prior to study invitation. They were randomly assigned to one of five arms for a 10-wk intervention period. Arm 1 (control) got education about the risks of handheld phone use, as did the other arms. Arm 2 got a free phone mount to facilitate hands-free use. Arm 3 got the mount plus a commitment exercise and tips for hands-free use. Arm 4 got the mount, commitment, and tips plus weekly goal gamification and social competition. Arm 5 was the same as Arm 4, plus offered behaviorally designed financial incentives. Postintervention, participants were monitored until the end of their insurance rating period, 25 to 65 d more. Outcome differences were measured using fractional logistic regression. Arm 4 participants, who received gamification and competition, reduced their handheld use by 20.5% relative to control (P < 0.001); Arm 5 participants, who additionally received financial incentives, reduced their use by 27.6% (P < 0.001). Both groups sustained these reductions through the end of their insurance rating period.

Avenues for prevention using the epidemiology of sport-related concussion from a large high school surveillance study.

OBJECTIVE: Epidemiology provides fundamental opportunities to protect student-athlete health. The goal of this study was to describe the epidemiology of sport-related concussion (SRC) across 8 years (2015/2016-2022/2023) and compare boys' and girls' sports for SRC incidence and SRC mechanisms. METHODS: This was a retrospective cohort study performed using a statewide high school head injury surveillance system of high school student-athletes (n = 2,182,128; boys, n = 1,267,389; girls, n = 914,739). Exposures of interest included study year and boys and girls in comparable sports. Clinical incidence was calculated by dividing SRC counts in each sport by the number of participants per 100 player-seasons and presented with 95% CIs. The 2019/2020 and 2020/2021 data were included in the analysis, however caution is warranted due to the COVID-19 pandemic. Clinical incidence ratios (CIRs) were estimated for sex-comparable sports, and significance was determined if 95% CIs excluded 1.00. The authors compared mechanism of injury in boys' and girls' comparable sports with chi-square analyses (p < 0.05). RESULTS: Among 25,482 total SRCs, the overall clinical incidence of SRC for all boys and girls was 1.17 (95% CI 1.15-1.18) per 100 player-seasons across all years. Across all years, the overall clinical incidence in boys' sports was 1.34 (95% CI 1.32-1.36) per 100 player-seasons, and 0.93 (95% CI 0.91-0.95) per 100 player-seasons in girls' sports. Boys' sports with the highest clinical incidence included football, ice hockey, and wrestling. Girls' sports with the highest clinical incidence included basketball, soccer, lacrosse, competitive cheer, and gymnastics. Girls consistently had higher SRC rates relative to boys for baseball/softball, basketball, and soccer (CIR range 1.65 [95% CI 1.41-1.93] to 3.32 [95% CI 2.67-4.16]). Girls had lower SRC in lacrosse in 2015/2016 (CIR 0.63, 95% CI 0.40-0.97); no difference in 2016/2017-2020/2021, but had higher clinical incidence in 2021/2022 (CIR 1.69, 95% CI 1.18-2.44) relative to boys. In boys the most common mechanism of SRC occurred from person-to-person contact (n = 8752, 62.8%), whereas girls commonly sustained SRC from person-to-object contact (n = 2369, 33.4%) and from person-to-person contact (n = 2368, 33.4%). There were significant associations between boys' versus girls' sports and mechanism of injury within baseball/softball (χ2 = 12.71, p = 0.005); basketball (χ2 = 36.47, p < 0.001); lacrosse (χ2 = 185.15, p < 0.001); and soccer (χ2 = 122.70, p < 0.001). CONCLUSIONS: These findings can help understand the potential impact of interventions aimed at preventing or reducing SRC. Including girls' sports within this study extends research for a largely underrepresented group.

Feedback and Financial Incentives for Reducing Cell Phone Use While Driving: A Randomized Clinical Trial.

Importance: Handheld phone use while driving is a major factor in vehicle crashes. Scalable interventions are needed to encourage drivers not to use their phones. Objective: To test whether interventions involving social comparison feedback and/or financial incentives can reduce drivers' handheld phone use. Design, Setting, and Participants: In a randomized clinical trial, interventions were administered nationwide in the US via a mobile application in the context of a usage-based insurance program (Snapshot Mobile application). Customers were eligible to be invited to participate in the study if enrolled in the usage-based insurance program for 30 to 70 days. The study was conducted from May 13 to June 30, 2019. Analysis was completed December 22, 2023. Interventions: Participants were randomly assigned to 1 of 6 trial arms for a 7-week intervention period: (1) control; (2) feedback, with weekly push notification about their handheld phone use compared with that of similar others; (3) standard incentive, with a maximum $50 award at the end of the intervention based on how their handheld phone use compared with similar others; (4) standard incentive plus feedback, combining interventions of arms 2 and 3; (5) reframed incentive plus feedback, with a maximum $7.15 award each week, framed as participant's to lose; and (6) doubled reframed incentive plus feedback, a maximum $14.29 weekly loss-framed award. Main Outcome and Measure: Proportion of drive time engaged in handheld phone use in seconds per hour (s/h) of driving. Analyses were conducted with the intention-to-treat approach. Results: Of 17 663 customers invited by email to participate, 2109 opted in and were randomized. A total of 2020 drivers finished the intervention period (68.0% female; median age, 30 [IQR, 25-39] years). Median baseline handheld phone use was 216 (IQR, 72-480) s/h. Relative to control, feedback and standard incentive participants did not reduce their handheld phone use. Standard incentive plus feedback participants reduced their use by -38 (95% CI, -69 to -8) s/h (P = .045); reframed incentive plus feedback participants reduced their use by -56 (95% CI, -87 to -26) s/h (P < .001); and doubled reframed incentive plus feedback participants reduced their use by -42 s/h (95% CI, -72 to -13 s/h; P = .007). The 5 active treatment arms did not differ significantly from each other. Conclusions and Relevance: In this randomized clinical trial, providing social comparison feedback plus incentives reduced handheld phone use while individuals were driving. Trial Registration: ClinicalTrials.gov Identifier: NCT03833219.

Associations of Sex and Sport Contact-Level with Recovery Timelines Among Collegiate Athletes with Sport-Related Concussion.

BACKGROUND: Growing interest has motivated recent studies to examine differences in recovery after sport-related concussion (SRC) by sex. However, heterogeneity in study design, participants, and recovery outcomes has led to mixed findings. Further work is needed to evaluate potential differences by sex and to investigate the role of related characteristics, such as sport contact-level, in recovery timelines. This study aimed to investigate whether concussion recovery trajectories differ by sex, considering a priori clinical and demographic covariates, and accounting for the sequence of recovery outcomes. Our secondary question was whether sport contact-level modifies the relationship between sex and time to outcomes. Using data from the Ivy League-Big Ten Epidemiology of Concussion Study, we included SRCs reported across five academic years; 2015-2020 (February 2020). We used Cox proportional hazards regressions to estimate associations between sex and time from injury to three outcomes: (1) symptom resolution, (2) return to academics, (3) return to full play, accounting for measured confounders. RESULTS: Among 1160 SRCs (male, n = 667; female, n = 493) with complete data, median age overall was 20 years (25th-75th percentiles:19-21), and most occurred among athletes playing high-contact sports (78.0%). Males were slightly more likely to complete symptom resolution over time compared to females (HR = 1.18, 95%CI = 1.05-1.33), but results were attenuated in fully adjusted models (HR 1.13, 95%CI = 0.99-1.29). Similarly, the HR of full academic return for males compared to females was 1.22 (95%CI = 1.07-1.38), but was attenuated in fully adjusted models (HR = 1.11, 95%CI = 0.97-1.28). The HR of full return to play for males compared to females was 1.14 (95%CI = 1.02-1.28), and was attenuated after adjustment (HR = 1.06, 95%CI = 0.93-1.20) as well. The interaction between sex and playing a high/low-contact sport was not statistically significant across models, though differences were apparent. CONCLUSIONS: Among a cohort of collegiate athletes with SRC, recovery timelines appeared similar between male and female athletes, adjusting for measured confounders. Differences by sex, considering sport contact-level, were evident and may be important clinically and in future studies. This study used robust methods, accounting for nesting in the sequence of RTP outcomes. Results inform concussion management protocols and planned qualitative work to further elucidate how collegiate athletes experience concussion recovery. KEY POINTS: Heterogeneity in study design, participants, and recovery outcomes has led to mixed findings in determining differences in recovery trajectories after concussion by sex. We found that having longer time to symptom resolution, and also the sequence of having academic return before symptoms resolve and longer time to academic return were confounders in the relationship between sex and RTP timelines. Time to sequential recovery outcomes appeared similar between male and female athletes, adjusting for observable confounders. Further differences by sex were evident when considering contact-level, and may be important to consider clinically and in future research. Results indicate that differences in concussion recovery trajectories by sex may be largely attributed to and driven by differences in sports with a men's or women's team only, such as football, and this should be explored further.

Using mobile health to expedite access to specialty care for youth presenting to the emergency department with concussion at highest risk of developing persisting symptoms: a protocol paper for a non-randomised hybrid implementation-effectiveness trial.

INTRODUCTION: Paediatric concussion is a common injury. Approximately 30% of youth with concussion will experience persisting postconcussion symptoms (PPCS) extending at least 1 month following injury. Recently, studies have shown the benefit of early, active, targeted therapeutic strategies. However, these are primarily prescribed from the specialty setting. Early access to concussion specialty care has been shown to improve recovery times for those at risk for persisting symptoms, but there are disparities in which youth are able to access such care. Mobile health (mHealth) technology has the potential to improve access to concussion specialists. This trial will evaluate the feasibility of a mHealth remote patient monitoring (RPM)-based care handoff model to facilitate access to specialty care, and the effectiveness of the handoff model in reducing the incidence of PPCS. METHODS AND ANALYSIS: This study is a non-randomised type I, hybrid implementation-effectiveness trial. Youth with concussion ages 13-18 will be enrolled from the emergency department of a large paediatric healthcare network. Patients deemed a moderate-to-high risk for PPCS using the predicting and preventing postconcussive problems in paediatrics (5P) stratification tool will be registered for a web-based chat platform that uses RPM to collect information on symptoms and activity. Those patients with escalating or plateauing symptoms will be contacted for a specialty visit using data collected from RPM to guide management. The primary effectiveness outcome will be the incidence of PPCS, defined as at least three concussion-related symptoms above baseline at 28 days following injury. Secondary effectiveness outcomes will include the number of days until return to preinjury symptom score, clearance for full activity and return to school without accommodations. The primary implementation outcome will be fidelity, defined as the per cent of patients meeting specialty care referral criteria who are ultimately seen in concussion specialty care. Secondary implementation outcomes will include patient-defined and clinician-defined appropriateness and acceptability. ETHICS AND DISSEMINATION: This study was approved by the Institutional Review Board of the Children's Hospital of Philadelphia (IRB 22-019755). Study findings will be published in peer-reviewed journals and disseminated at national and international meetings. TRIAL REGISTRATION NUMBER: NCT05741411.

Comparison of different definitions of traumatic brain injury: implications for cohort characteristics and survival in women, Philadelphia, USA.

BACKGROUND: Traumatic brain injury (TBI) is an acute injury that is understudied in civilian cohorts, especially among women, as TBI has historically been considered to be largely a condition of athletes and military service people. Both the Centres for Disease Control and Prevention (CDC) and Department of Defense (DOD)/Veterans Affairs (VA) have developed case definitions to identify patients with TBI from medical records; however, their definitions differ. We sought to re-examine these definitions to construct an expansive and more inclusive definition among a cohort of women with TBI. METHODS: In this study, we use electronic health records (EHR) from a single healthcare system to study the impact of using different case definitions to identify patients with TBI. Specifically, we identified adult female patients with TBI using the CDC definition, DOD/VA definition and a combined and expanded definition herein called the Penn definition. RESULTS: We identified 4446 adult-female TBI patients meeting the CDC definition, 3619 meeting the DOD/VA definition, and together, 6432 meeting our expanded Penn definition that includes the CDC ad DOD/VA definitions. CONCLUSIONS: Using the expanded definition identified almost two times as many patients, enabling investigations to more fully characterise these patients and related outcomes. Our expanded TBI case definition is available to other researchers interested in employing EHRs to investigate TBI.

Response Rate Patterns in Adolescents With Concussion Using Mobile Health and Remote Patient Monitoring: Observational Study.

Background: A concussion is a common adolescent injury that can result in a constellation of symptoms, negatively affecting academic performance, neurobiological development, and quality of life. Mobile health (mHealth) technologies, such as apps for patients to report symptoms or wearables to measure physiological metrics like heart rate, have been shown to be promising in health maintenance. However, there is limited evidence about mHealth engagement in adolescents with a concussion during their recovery course. Objective: This study aims to determine the response rate and response rate patterns in concussed adolescents reporting their daily symptoms through mHealth technology. It will also examine the effect of time-, demographic-, and injury-related characteristics on response rate patterns. Methods: Participants aged between 11-18 years (median days since injury at enrollment: 11 days) were recruited from the concussion program of a tertiary care academic medical center and a suburban school's athletic teams. They were asked to report their daily symptoms using a mobile app. Participants were prompted to complete the Post-Concussion Symptom Inventory (PCSI) 3 times (ie, morning, afternoon, and evening) per day for 4 weeks following enrollment. The primary outcome was the response rate pattern over time (by day since initial app use and the day since injury). Time-, demographic-, and injury-related differences in reporting behaviors were compared using Mann Whitney U tests. Results: A total of 56 participants were enrolled (mean age 15.3, SD 1.9 years; n=32, 57% female). The median response rate across all days of app use in the evening was 37.0% (IQR 27.2%-46.4%), which was significantly higher than the morning (21.2%, IQR 15.6%-30.5%) or afternoon (26.4%, IQR 21.1%-31.5%; P<.001). The median daily response was significantly different by sex (female: 53.8%, IQR 46.2%-64.2% vs male: 42.0%, IQR 28.6%-51.1%; P=.003), days since injury to app use (participants starting to use the app >7 days since injury: 54.1%, IQR 47.4%-62.2% vs starting to use the app ≤7 days since injury: 38.0%, IQR 26.0%-53.3%; P=.002), and concussion history (participants with a history of at least one prior concussion: 57.4%, IQR 44.5%-70.5% vs participants without concussion history: 42.3%, IQR 36.8%-53.5%; P=.03). There were no significant differences by age. Differences by injury mechanism (sports- and recreation-related injury: 39.6%, IQR 36.1%-50.4% vs non-sports- or recreation-related injury: 30.6%, IQR 20.0%-42.9%; P=.04) and initial symptom burden (PCSI scores greater than the median score of 47: 40.9%, IQR 35.2%-53.8% vs PCSI scores less than or equal to the median score: 31.9%, IQR 24.6%-40.6%; P=.04) were evident in the evening response rates; however, daily rates were not statistically different. Conclusions: Evening may be the optimal time to prompt for daily concussion symptom assessment among concussed adolescents compared with morning or afternoon. Multiple demographic- and injury-related characteristics were associated with higher daily response rates, including for female participants, those with more than 1 week from injury to beginning mHealth monitoring, and those with a history of at least one previous concussion. Future studies may consider incentive strategies or adaptive digital concussion assessments to increase response rates in populations with low engagement.

Survival analysis under imperfect record linkage using historic census data.

BACKGROUND: Advancements in linking publicly available census records with vital and administrative records have enabled novel investigations in epidemiology and social history. However, in the absence of unique identifiers, the linkage of the records may be uncertain or only be successful for a subset of the census cohort, resulting in missing data. For survival analysis, differential ascertainment of event times can impact inference on risk associations and median survival. METHODS: We modify some existing approaches that are commonly used to handle missing survival times to accommodate this imperfect linkage situation including complete case analysis, censoring, weighting, and several multiple imputation methods. We then conduct simulation studies to compare the performance of the proposed approaches in estimating the associations of a risk factor or exposure in terms of hazard ratio (HR) and median survival times in the presence of missing survival times. The effects of different missing data mechanisms and exposure-survival associations on their performance are also explored. The approaches are applied to a historic cohort of residents in Ambler, PA, established using the 1930 US census, from which only 2,440 out of 4,514 individuals (54%) had death records retrievable from publicly available data sources and death certificates. Using this cohort, we examine the effects of occupational and paraoccupational asbestos exposure on survival and disparities in mortality by race and gender. RESULTS: We show that imputation based on conditional survival results in less bias and greater efficiency relative to a complete case analysis when estimating log-hazard ratios and median survival times. When the approaches are applied to the Ambler cohort, we find a significant association between occupational exposure and mortality, particularly among black individuals and males, but not between paraoccupational exposure and mortality. DISCUSSION: This investigation illustrates the strengths and weaknesses of different imputation methods for missing survival times due to imperfect linkage of the administrative or registry data. The performance of the methods may depend on the missingness process as well as the parameter being estimated and models of interest, and such factors should be considered when choosing the methods to address the missing event times.

Symptom characteristics, perceived causal attributions, and contextual factors influencing self-care behaviors: An ecological daily assessment study of adults with chronic illness.

OBJECTIVE: Insights into how symptoms influence self-care can guide patient education and improve symptom control. This study examined symptom characteristics, causal attributions, and contextual factors influencing self-care of adults with arthritis, asthma, chronic obstructive pulmonary disease, diabetes, or heart failure. METHODS: Adults (n = 81) with a symptomatic chronic illness participated in a longitudinal observational study. Using Ecological Daily Assessment, participants described one symptom twice daily for two weeks, rating its frequency, severity, bothersomeness, duration, causes, and self-care. RESULTS: The most frequent symptoms were fatigue and shortness of breath. Pain, fatigue, and joint stiffness were the most severe and bothersome. Most participants engaged in active self-care, but those with fatigue and pain engaged in passive self-care (i.e., rest or do nothing), especially when symptoms were infrequent, mild, somewhat bothersome, and fleeting. In people using passive self-care, thoughts, feelings, and the desire to conceal symptoms from others interfered with self-care. CONCLUSION: Most adults with a chronic illness take an active role in managing their symptoms but some conceal or ignore symptoms until the frequency, severity, bothersomeness, or duration increases. PRACTICE IMPLICATIONS: When patients report symptoms, asking about self-care behaviors may reveal inaction or ineffective approaches. A discussion of active self-care options may improve symptom control.

Custom injury prevention priority scoring: Local ranking procedures to assess unique community needs: Local Pediatric Injury Prevention Priority Scoring.

BACKGROUND: Trauma is the leading cause of morbidity and mortality in children. Many traumatic injuries are preventable and trauma centers play a major role in directing population-level injury prevention strategies. Given the constraint of finite resources, calculating priorities for injury prevention at an institutional level is essential. The Injury Prevention and Priority Score (IPPS) is a widely applicable tool that is more robust than simple prevalence rankings and considers injury severity - an important factor when developing prevention strategies. We developed an adapted-IPPS methodology to define our local injury prevention priorities using our institution's patient population. METHODS: The institution-specific trauma registry was used, which includes patients presenting to a level 1 pediatric trauma center July 2018 - June 2022. Causes of injury were categorized into injury mechanisms based on external cause codes. Mechanisms of injury were ranked by frequency and severity (based on mean Injury Severity Score, ISS). An IPPS was calculated for each of the injury mechanisms, which were then ranked from highest to lowest priority injury mechanism. RESULTS: In ranking injury mechanisms by IPPS, "falls" remain the top priority mechanism despite their relatively low severity, given their overwhelming frequency (n = 1993, mean ISS = 5.9). The injury mechanisms "motor vehicle" (n = 434, mean ISS = 10.9) and "pedestrian" (n = 13, mean ISS = 15), become higher priority given their injury severity, despite lower frequency. "Pedestrian" includes non-traffic incidents such as patients run over by cars in driveways or rural settings. CONCLUSIONS: Computing the IPPS for each injury mechanism, using data collected routinely for trauma registries, enables trauma centers to use local data to inform injury prevention efforts in their communities. Calculating rankings based on an injury mechanism's relative frequency and severity allows a more robust understanding of their impact. LEVEL OF EVIDENCE: IV.

Neighborhood disadvantage reduces cognitive reserve independent of neuropathologic change.

INTRODUCTION: Individuals in socioeconomically disadvantaged neighborhoods exhibit increased risk for impaired cognitive function. Whether this association relates to the major dementia-related neuropathologies is unknown. METHODS: This cross-sectional study included 469 autopsy cases from 2011 to 2023. The relationships between neighborhood disadvantage measured by Area Deprivation Index (ADI) percentiles categorized into tertiles, cognition evaluated by the last Mini-Mental State Examination (MMSE) scores before death, and 10 dementia-associated proteinopathies and cerebrovascular disease were assessed using regression analyses. RESULTS: Higher ADI was significantly associated with lower MMSE score. This was mitigated by increasing years of education. ADI was not associated with an increase in dementia-associated neuropathologic change. Moreover, the significant association between ADI and cognition remained even after controlling for changes in major dementia-associated proteinopathies or cerebrovascular disease. DISCUSSION: Neighborhood disadvantage appears to be associated with decreased cognitive reserve. This association is modified by education but is independent of the major dementia-associated neuropathologies.

Firearm manufacturing and imports in the USA and their association to firearm homicides in Central America and the Caribbean, 1991-2019.

BACKGROUND: Firearm manufacturing and imports grew in the US during the mid-2000s. We hypothesise those increases corresponded to increased international firearms trafficking and in turn were associated with increases in firearm homicides abroad. METHODS: We used the Global Burden of Disease database to quantify annual firearm and non-firearm homicide rates in Central American and Caribbean countries, 1991-2019. We obtained US firearm manufacturing and import data from the Bureau of Alcohol, Tobacco, Firearms and Explosives. We used two-way fixed effects regressions to estimate within-country associations between homicide rates (firearm and non-firearm) and US firearm manufacturing and imports. FINDINGS: Firearm homicide rates in Central American and Caribbean countries increased from 8.38/100K population in 2004 to 17.55/100 K in 2012 and remained steady thereafter. Those surges coincided with increases in US firearm manufacturing/imports (from 4.99 million in 2004 to 13.12 million in 2012). Non-firearm homicides remained roughly constant from 1991 to 2019. Adjusted analysis showed that an annual increase of one million firearms manufactured/imported in the US corresponded to an annual increase of 1.42 (95% CI 0.62 to 2.21) firearm homicides per 100 K in Central American and Caribbean countries. The corresponding change for non-firearm homicides was -0.18 (95% CI -1.46 to 1.11). We found country-to-country variability in these effects. INTERPRETATION: Increases in US firearm manufacturing/imports were associated with increases in firearm homicide rates in Central American and Caribbean countries but not associated with non-firearm homicides. The specificity to firearm homicides suggests possible international repercussions of increased firearm manufacturing and imports in the US implications are discussed.

Acute Sport-Related Concussion Management and Return to Sport Time in High School Athletes.

BACKGROUND: The current evidence for acute management practices of sport-related concussion (SRC) is often limited to in-clinic visits, with limited studies identifying professionals in early SRC care and the association with prolonged recovery outcomes. PURPOSE: To describe acute SRC management practices (ie, the personnel in the initial evaluations, removal from activity) and test the association with prolonged return to sport (RTS) time. STUDY DESIGN: Descriptive epidemiology study. METHODS: We conducted a retrospective cohort study of 17,081 high school SRCs accrued between the 2015-2016 and 2020-2021 academic years. We reported acute management practices and RTS time as frequencies stratified by sex, sport, and event type and compared athletic trainer (AT) access in initial evaluation with chi-square tests (P < .05). Separate logistic regressions estimated odds ratios (ORs) and 95% CIs for removal from activity and prolonged RTS >21 days by acute management practices. RESULTS: Most SRCs (n = 12,311 [72.1%]) had complete initial evaluation by an AT. Boys had an AT evaluation in 75.5% (n = 2860/3787) of practice-related and 74.8% (n = 5551/7423) of competition-related events. Girls had an AT evaluation in 61.3% (n = 1294/2110) of practice-related and 69.3% (n = 2606/3761) of competition-related events. In sex-comparable sports (n = 6501), there was no difference between boys (n = 1654/2455 [67.4%]) and girls (n = 2779/4046 [68.7%]) having an AT involved in the first evaluation (χ2 = 1.21; P = .27). Notably, 25.3% of girls' SRCs were evaluated by a coach alone, and we observed differences in personnel in initial evaluations by sport. The odds of immediate removal were higher when an AT made the initial evaluation (OR, 2.8 [95% CI, 2.54-3.08]). The odds of prolonged RTS >21 days was lower for those with an AT in the initial evaluation (OR, 0.74 [95% CI, 0.65-0.84]) adjusting for significant factors from univariate analyses, boys relative to girls (OR, 0.85 [95% CI, 0.76-0.96]), specialty care relative to PCP (OR, 2.16 [95% CI, 1.90-2.46]), specialty care relative to urgent or ready care (OR, 0.99 [95% CI, 0.82-1.22]) concussion history (OR, 1.41 [95% CI, 1.22-1.63]), and removal from activity (OR, 0.90 [95% CI, 0.78-1.05]). CONCLUSION: This study found variability in personnel involved in initial SRC evaluations, with higher percentages of athletes with SRCs having ATs make the initial evaluation during competitive events. There was no association between sex and AT involvement in comparable sports. There was an association between prolonged RTS and AT involvement, sex, concussion history, and location of follow-up care.

Publicly available data sources in sport-related concussion research: a caution for missing data.

BACKGROUND: Researchers often use publicly available data sources to describe injuries occurring in professional athletes, developing and testing hypotheses regarding athletic-related injury. It is reasonable to question whether publicly available data sources accurately indicate athletic-related injuries resulting from professional sport participation. We compared sport-related concussion (SRC) clinical incidence using data from publicly available sources to a recent publication reporting SRC using electronic health records (EHR) from the National Football League (NFL). We hypothesize publicly available data sources will underrepresent SRC in the NFL. We obtained SRCs reported from two publicly available data sources (NFL.com, pro-football-reference.com) and data reported from the NFL's published EHR. We computed SRC per 100 unique player signings from 2015-2019 and compared the clinical incidence from publicly available data sources to EHR rates using clinical incidence ratios (CIR) and 95% confidence intervals (CI). FINDINGS: From 2015-2019, SRC counts from published EHR record data ranged from 135-192 during the regular season, whereas SRC counts ranged from 102-194 and 69-202 depending on the publicly available data source. In NFL.com the SRC clinical incidence was significantly and progressively lower in 2017 (CIR: 0.73, 95% CI: 0.58-0.91), 2018 (CIR: 0.66, 95% CI: 0.50-0.87), and 2019 (CIR: 0.48, 95% CI: 0.35-0.64) relative to the gold-standard EHR. In the pro-football-reference.com data, the documented SRCs in publicly available data sources for other years were ~ 20-30% lower than the gold-standard EHR numbers (CIRs 0.70-0.81). CONCLUSIONS: Publicly available data for SRCs per 100 unique player signings did not match published data from the NFL's EHR and in several years were significantly lower. Researchers should use caution before using publicly available data sources for injury research.

Parent and Youth Athlete Perceptions of Concussion Injury: Establishing a Factor Structure.

OBJECTIVE: The first objective was to establish the respective factor structures of a concussion perceptions inventory that was adapted for youth athletes (ages 8-14 years) and their parents from the Perceptions of Concussion Inventory for Athletes. The second objective was to understand the associations between the concussion perceptions of youth athlete-parent dyads. METHOD: In this cross-sectional study, 329 parent-youth athlete dyads completed a respective concussion perception inventory. Mean age of youth respondents was 10.9 ± 1.8 years (70.1% male) and mean age of parent respondents was 40.5 ± 13.6 years (60.9% female). RESULTS: Exploratory factor analyses revealed unique 7-factor structures for both the youth athlete and parent inventories (youth athlete: anxiety, clarity, treatment, permanent injury, symptom variability, long-term outcomes, and personal control; parent: anxiety, clarity, treatment, permanent injury, symptom variability, and long-term outcomes, and affect others). Weak associations were found between dyads on the 5 factors that were composed of identical items (anxiety, clarity, treatment, permanent injury, and symptom variability). CONCLUSIONS: Findings suggest that this adapted inventory has adequate psychometric properties to be used in the study of the concussion perceptions of youth athletes and their parents. Weak correlations across the concussion perceptions in the dyads suggest that parents and children hold different concussion perceptions and this should be considered in instrument selection of future studies.