Colleges and Crime-Comparing Homicide and Suicide Rates Among College Towns and Their Counterparts.

INTRODUCTION: To investigate differences in homicide and suicide rates across college town status and determine whether college towns were predisposed to changes in rates over time. METHODS: We analyzed county-level homicide and suicide rates (total and by firearm) across college town status using 2015-2019 CDC death certificate data and data from the American Communities Project. RESULTS: Population-level homicide rates were similar across college town status, but younger age groups were at increased risk for firearm homicide and total homicide in college towns. College town status was associated with lower population-level firearm suicide rates, but individuals aged less than 18 y were at increased risk for total and firearm suicide. Finally, college towns were not classified as outliers for changes in either firearm homicide or suicide rates over time. CONCLUSIONS: College towns had similar homicide rates and significantly lower firearm suicide rates than other counties; however, individuals aged less than 18 y were at increased risk for both outcomes. The distinctive demographic, social, economic, and cultural features of college towns may contribute to differing risk profiles among certain age groups, thus may also be amenable to focused prevention efforts.

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.

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.

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.

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.

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.

Modifiable Factors Related to Firearm Homicides: A Broader View of Our Lane.

OBJECTIVE: This study aims to identify modifiable factors related to firearm homicide (FH). SUMMARY BACKGROUND DATA: Many socioeconomic, legislative and behavioral risk factors impact FH. Most studies have evaluated these risk factors in isolation, but they coexist in a complex and ever-changing American society. We hypothesized that both restrictive firearm laws and socioeconomic support would correlate with reduced FH rates. METHODS: To perform our ecologic cross-sectional study, we queried the Centers for Disease Control (CDC) Wide-ranging ONline Data for Epidemiologic Research (WONDER) and Federal Bureau of Investigation (FBI) Uniform Crime Reporting (UCR) for 2013-2016 state FH data. We retrieved firearm access estimates from the RAND State-Level Firearm Ownership Database. Alcohol use and access to care data were captured from the CDC Behavioral Risk Factor Surveillance System (BRFSS). Detached youth rates, socioeconomic support data and poverty metrics were captured from US Census data for each state in each year. Firearm laws were obtained from the State Firearms Law Database. Variables with significant FH association were entered into a final multivariable panel linear regression with fixed effect for state. RESULTS: A total of 49,610 FH occurred in 2013-2016 (median FH rate: 3.9:100,000, range: 0.07-11.2). In univariate analysis, increases in concealed carry limiting laws ( P =0.012), detached youth rates ( P <0.001), socioeconomic support ( P <0.001) and poverty rates ( P <0.001) correlated with decreased FH. Higher rates of heavy drinking ( P =0.036) and the presence of stand your ground doctrines ( P =0.045) were associated with increased FH. Background checks, handgun limiting laws, and weapon access were not correlated with FH. In multivariable regression, increased access to food benefits for those in poverty [ß: -0.132, 95% confidence interval (CI): -0.182 to -0.082, P <0.001] and laws limiting concealed carry (ß: -0.543, 95% CI: -0.942 to -0.144, P =0.008) were associated with decreased FH rates. Allowance of stand your ground was associated with more FHs (ß: 1.52, 95% CI: 0.069-2.960, P <0.040). CONCLUSIONS: The causes and potential solutions to FH are complex and closely tied to public policy. Our data suggests that certain types of socioeconomic support and firearm restrictive legislation should be emphasized in efforts to reduce firearm deaths in America.

A Randomized Trial of Incentivization to Maximize Retention for Real-Time Symptom and Activity Monitoring Using Ecological Momentary Assessment in Pediatric Concussion.

OBJECTIVE: The aims of this study were to determine the incentivization strategy that maximizes patient adherence to report symptoms and activity via ecological momentary assessment (EMA) after pediatric concussion, and assess the feasibility of tracking concussed youth using EMA from the emergency department (ED) setting. METHODS: This study was a randomized controlled trial of participants ages 13 to 18 years with concussion presenting to an urban, academic pediatric ED within 5 days of injury. Participants were randomized to 1 of 4 incentive arms: 2 dynamic (loss-based and streak) and 2 control flat-rate (monetary and electronic device). Participants reported symptoms 3 times per day and cognitive activity once each evening for 3 weeks. Physical activity (step count) and sleep were monitored using a Fitbit (kept by participants in the device flat-rate arm). The primary outcome was proportion of prompts to which participants responded. Secondary outcomes included differential response rates by demographics, and comparison of outcome determination between EMA and subsequent clinical visits. RESULTS: Thirty participants were enrolled, with a median age of 15.5 years and 60% female. Median cumulative proportion of prompts responded to was 68.3% (interquartile range, 47.6%-82.5%) in the dynamic arms versus 54.0% (interquartile range. 20.6%-68.3%) in the flat-rate arms, P = 0.065. There were nonsignificant differences in median response by sex (65.9% for female vs 40.0% for male, P = 0.072), race/ethnicity (61.9% for non-Hispanic White vs 43.7% for non-Hispanic Black participants, P = 0.097), and insurance (61.9% for private insurance vs 47.6% for public insurance, P = 0.305). Recovery at 3 weeks was discernible for all but 2 participants (93.3%) using EMA data, compared with only 9 participants (30.0%) ( P < 0.001) from clinical visits. CONCLUSIONS: Dynamic incentivization showed higher rates of response to tridaily symptom prompts compared with flat-rate incentivization. These data show tracking concussed youth using EMA from the ED is feasible using a dynamic incentivization strategy, with improved ability to discern outcomes compared with prospective monitoring using follow-up clinical visits.

U.S. cities will not meet blood product resuscitation standards during major mass casualty incidents: Results of a THOR-AABB working party prospective analysis.

BACKGROUND: Mass casualty incidents (MCIs) create an immediate surge in blood product demand. We hypothesize local inventories in major U.S. cities would not meet this demand. STUDY DESIGN AND METHODS: A simulated blast in a large crowd estimated casualty numbers. Ideal resuscitation was defined as equal amounts of red blood cells (RBCs), plasma, platelets, and cryoprecipitate. Inventory was prospectively collected from six major U.S. cities at six time points between January and July 2019. City-wide blood inventories were classified as READY (>1 U/injured survivor), DEFICIENT (<10 U/severely injured survivor), or RISK (between READY and DEFICIENT), before and after resupply from local distribution centers (DC), and features of DEFICIENT cities were identified. RESULTS: The simulated blast resulted in 2218 injured survivors including 95 with severe injuries. Balanced resuscitation would require between 950 and 2218 units each RBC, plasma, platelets and cryoprecipitate. Inventories in 88 hospitals/health systems and 10 DCs were assessed. Of 36 city-wide surveys, RISK inventories included RBCs (n = 16; 44%), plasma (n = 24; 67%), platelets (n = 6; 17%), and cryoprecipitate (n = 22; 61%) while DEFICIENT inventories included platelets (n = 30; 83%) and cryoprecipitate (n = 12; 33%). Resupply shifted most RBC and plasma inventories to READY, but some platelet and cryoprecipitate inventories remained at RISK (n = 24; 67% and n = 12; 33%, respectively) or even DEFICIENT (n = 11; 31% and n = 6; 17%, respectively). Cities with DEFICIENT inventories were smaller (p <.001) with fewer blood products per trauma bed (p <.001). DISCUSSION: In this simulated blast event, blood product demand exceeded local supply in some major U.S. cities. Options for closing this gap should be explored to optimize resuscitation during MCIs.

Development and testing of an instrument to measure contextual factors influencing self-care decisions among adults with chronic illness.

BACKGROUND: Decisions about how to manage bothersome symptoms of chronic illness are complex and influenced by factors related to the patient, their illness, and their environment. Naturalistic decision-making describes decision-making when conditions are dynamically evolving, and the decision maker may be uncertain because the situation is ambiguous and missing information. Contextual factors, including time stress, the perception of high stakes, and input from others may facilitate or complicate decisions about the self-care of symptoms. There is no valid instrument to measure these contextual factors. The purpose of this study was to develop and test a self-report instrument measuring the contextual factors that influence self-care decisions about symptoms. METHODS: Items were drafted from the literature and refined with patient input. Content validity of the instrument was evaluated using a Delphi survey of expert clinicians and researchers, and cognitive interviews with adults with chronic illness. Psychometric testing included exploratory factor analysis to test dimensionality, item response theory-based approaches for item recalibration, confirmatory factor analysis to generate factor determinacy scores, and evaluation of construct validity. RESULTS: Ten contextual factors influencing decision-making were identified and multiple items per factor were generated. Items were refined based on cognitive interviews with five adults with chronic illness. After a two round Delphi survey of expert clinicians (n = 12) all items had a content validity index of > 0.78. Five additional adults with chronic illness endorsed the relevance, comprehensiveness, and comprehensibility of the inventory during cognitive interviews. Initial psychometric testing (n = 431) revealed a 6-factor multidimensional structure that was further refined for precision, and high multidimensional reliability (0.864). In construct validity testing, there were modest associations with some scales of the Melbourne Decision Making Questionnaire and the Self-Care of Chronic Illness Inventory. CONCLUSION: The Self-Care Decisions Inventory is a 27-item self-report instrument that measures the extent to which contextual factors influence decisions about symptoms of chronic illness. The six scales (external, urgency, uncertainty, cognitive/affective, waiting/cue competition, and concealment) reflect naturalistic decision making, have excellent content validity, and demonstrate high multidimensional reliability. Additional testing of the instrument is needed to evaluate clinical utility.

Progression through return-to-sport and return-to-academics guidelines for concussion management and recovery in collegiate student athletes: findings from the Ivy League-Big Ten Epidemiology of Concussion Study.

OBJECTIVE: To examine the progression of collegiate student athletes through five stages of a return-to-activity protocol following sport-related concussion (SRC). METHODS: In a multisite prospective cohort study, we identified the frequency of initial 24-48 hours physical and cognitive rest, and the sequence of (1) symptom resolution and return to (2) exertion activity, (3) limited sport, (4) full sport and (5) full academics. In resulting profiles we estimated the likelihood of return to full sport ≤14 days or prolonged >28 days and tested for variability based on timing of the stages. RESULTS: Among 1715 athletes with SRC (31.6% females), 67.9% had 24-48 hours initial physical and cognitive rest. The median was 6 days to return to full academics, 8 days to symptom resolution and 9 days to exertion. Three profiles emerged; all had the same sport-specific return progression, but varied in the relative timing of full academics. In unadjusted analyses, full academics as the first stage corresponded to the longest time to return to full sport, and initiating exertion the same day as symptom resolution resulted in the shortest time. In adjusted regression analyses, athletes initiating full academics while still symptomatic were 21.5% less likely (95% CI -27.4% to -15.5%) to return to full sport ≤14 days and, analogously, 19.1% more likely (95% CI 13.4% to 24.7%) to have prolonged return >28 days. While additionally controlling for initial rest, sex, symptom count and concussion history, the likelihood of prolonged return >28 days was 37.0% (95% CI 25.2% to 48.8%) in athletes initiating exertion considerably before symptoms resolved (ie, 7+ days), but only 3.6% (95% CI -1.4% to 8.6%) in athletes initiating exertion shortly before achieving symptom resolution (ie, 3-4 days). CONCLUSION: We found evidence that sequential progressions were consistent with current recommendations including brief initial rest, and the initiation and relative timing of each stage impacted the final return-to-sport outcome.

Firearm Homicide Incidence, Within-state Firearm Laws, and Interstate Firearm Laws in US Counties.

BACKGROUND: Firearm homicides occur less frequently in US states with more firearm control laws. However, firearms are easily transported across state lines, and laws in one location may affect firearm violence in another. This study examined associations between within-state firearm laws and firearm homicide while accounting for interference from laws in other nearby states. METHODS: The units of analysis were 3,107 counties in the 48 contiguous US states, arrayed in 15 yearly panels for 2000 to 2014 (n = 46,605). The dependent measure was firearm homicides accessed from the Centers for Disease Control and Prevention (CDC) Compressed Mortality Data. The main independent measures were counts of firearm laws and the proportion of laws within categories (e.g., background checks, child access prevention laws). We calculated these measures for interstate laws using a geographic gravity function between county centroids. Bayesian conditional autoregressive Poisson models related within-state firearm laws and interstate firearm laws to firearm homicides. RESULTS: There were 172,726 firearm homicides in the included counties over the 15 years. States had between 3 and 100 firearm laws. Within-state firearm laws (incidence rate ratio [IRR] = 0.995, 95% confidence interval [CI] = 0.992, 0.997) and interstate firearm laws (IRR = 0.993, 95% CI = 0.990, 0.996) were independently associated with fewer firearm homicides, and associations for within-state laws were strongest where interstate laws were weakest. CONCLUSIONS: Additional firearm laws are associated with fewer firearm homicides both within the states where the laws are enacted and elsewhere in the United States. Interference from interstate firearm laws may bias associations for studies of within-state laws and firearm homicide.

Hedonic Hunger Is Associated with Intake of Certain High-Fat Food Types and BMI in 20- to 40-Year-Old Adults.

BACKGROUND: Hedonic hunger occurs in response to a desire to consume food for pleasure. The µ-opioid system regulates the hedonic impact of food and the opioid receptor mu 1 gene (OPRM1) polymorphism has been associated with fat intake. OBJECTIVES: The aim of this study was to determine whether the intake of high-fat food is associated with hedonic hunger and the OPRM1 polymorphism and whether these variables are related to BMI. METHODS: Participants were 20- to 40-y-old women and men enrolled in Poznan, Poland in 2016-2018. The frequency of consumption of high-fat food was measured using a validated application for mobile devices. Hedonic hunger was assessed with the use of the Power of Food Scale (PFS). PFS1, PFS2, and PFS3 scores were generated for food available, food present, and food tasted, respectively. Genotyping of rs1799971 in the OPRM1 gene was performed using TaqMan probes. The associations were analyzed using linear regression or logistic regression, as appropriate. RESULTS: Hedonic hunger scores were not associated with total high-fat food intake. Total PFS was associated with snack intake (ß: 0.16, P = 0.0066). PFS1 was positively associated with healthy high-fat food intake (ß: 0.27, P = 0.0001) and PFS2 with sweet high-fat food and fast-food intake (ß: 0.27, P = 0.0030). OPRM1 genotype and hedonic hunger interacted on fast-food intake (ß: -0.17; P < 0.0154). Total PFS and PFS2 increased the chance of having a BMI ≥ 25 kg/m2 (OR: 1.43; 95% CI: 1.03, 2.01; P = 0.0335 and OR: 1.89; 95% CI: 1.37, 2.61; P = 0.0001, respectively), whereas PFS3 decreased it (OR: 0.61; 95% CI: 0.41, 0.87; P = 0.0082). CONCLUSIONS: Hedonic hunger is associated with the intake of selected types of high-fat food, but not with its total intake, in people aged 20-40 y. Associations between hedonic hunger and fast-food intake can be modified by OPRM1 genotype. Hedonic hunger is associated with BMI.

Effects of Laws Expanding Civilian Rights to Use Deadly Force in Self-Defense on Violence and Crime: A Systematic Review.

Background. Since 2005, most US states have expanded civilian rights to use deadly force in self-defense outside the home. In most cases, legislation has included removing the duty to retreat anywhere one may legally be, commonly known as stand-your-ground laws. The extent to which these laws affect public health and safety is widely debated in public and policy discourse.Objectives. To synthesize the available evidence on the impacts and social inequities associated with changing civilian rights to use deadly force in self-defense on violence, injury, crime, and firearm-related outcomes.Search Methods. We searched MEDLINE, Embase, PsycINFO, Scopus, Web of Science, Sociological Abstracts, National Criminal Justice Reference Service Abstracts, Education Resources Information Center, International Bibliography of the Social Sciences, ProQuest Dissertations and Theses, Google Scholar, National Bureau of Economic Research working papers, and SocArXiv; harvested references of included studies; and consulted with experts to identify studies until April 2020.Selection Criteria. Eligible studies quantitatively estimated the association between laws that expanded or restricted the right to use deadly force in self-defense and population or subgroup outcomes among civilians with a comparator.Data Collection and Analysis. Two reviewers extracted study data using a common form. We assessed study quality using the Risk of Bias in Nonrandomized Studies of Interventions tools adapted for (controlled) before-after studies. To account for data dependencies, we conducted graphical syntheses (forest plots and harvest plots) to summarize the evidence on impacts and inequities associated with changing self-defense laws.Main Results. We identified 25 studies that estimated population-level impacts of laws expanding civilian rights to use deadly force in self-defense, all of which focused on stand-your-ground or other expansions to self-defense laws in the United States. Studies were scored as having serious or critical risk of bias attributable to confounding. Risk of bias was low across most other domains (i.e., selection, missing data, outcome, and reporting biases). Stand-your-ground laws were associated with no change to small increases in violent crime (total and firearm homicide, aggravated assault, robbery) on average across states. Florida-based studies showed robust increases (24% to 45%) in firearm and total homicide while self-defense claims under stand-your-ground law were more often denied when victims were White, especially when claimants were racial minorities.Author's Conclusions. The existing evidence contradicts claims that expanding self-defense laws deters violent crime across the United States. In at least some contexts, including Florida, stand-your-ground laws are associated with increases in violence, and there are racial inequities in the application of these laws.Public Health Implications. In some US states, most notably Florida, stand-your-ground laws may have harmed public health and safety and exacerbated social inequities. Our findings highlight the need for scientific evidence on both population and equity impacts of self-defense laws to guide legislative action that promotes public health and safety for all.Trial Registration. Open Science Framework (https://osf.io/uz68e).

Accuracy of Consumer-marketed smartphone-paired alcohol breath testing devices: A laboratory validation study.

BACKGROUND: Although alcohol breath testing devices that pair with smartphones are promoted for the prevention of alcohol-impaired driving, their accuracy has not been established. METHODS: In a within-subjects laboratory study, we administered weight-based doses of ethanol to two groups of 10 healthy, moderate drinkers aiming to achieve a target peak blood alcohol concentration (BAC) of 0.10%. We obtained a peak phlebotomy BAC and measured breath alcohol concentration (BrAC) with a police-grade device (Intoxilyzer 240) and two randomly ordered series of 3 consumer smartphone-paired devices (6 total devices) with measurements every 20 min until the BrAC reached <0.02% on the police device. Ten participants tested the first 3 devices, and the other 10 participants tested the other 3 devices. We measured mean paired differences in BrAC with 95% confidence intervals between the police-grade device and consumer devices. RESULTS: The enrolled sample (N = 20) included 11 females; 15 white, 3 Asian, and 2 Black participants; with a mean age of 27 and mean BMI of 24.6. Peak BACs ranged from 0.06-0.14%. All 7 devices underestimated BAC by >0.01%, though the BACtrack Mobile Pro and police-grade device were consistently more accurate than the Drinkmate and Evoc. Compared with the police-grade device measurements, the BACtrack Mobile Pro readings were consistently higher, the BACtrack Vio and Alcohoot measurements similar, and the Floome, Drinkmake, and Evoc consistently lower. The BACtrack Mobile Pro and Alcohoot were most sensitive in detecting BAC driving limit thresholds, while the Drinkmate and Evoc devices failed to detect BAC limit thresholds more than 50% of the time relative to the police-grade device. CONCLUSIONS: The accuracy of smartphone-paired devices varied widely in this laboratory study of healthy participants. Although some devices are suitable for clinical and research purposes, others underestimated BAC, creating the potential to mislead intoxicated users into thinking that they are fit to drive.

Alcohol-involved motor vehicle crashes and the size and duration of random breath testing checkpoints.

OBJECTIVE: Sobriety checkpoints have strong empirical and theoretical support as an intervention to reduce alcohol-involved motor vehicle crashes. The purpose of this study was to examine whether checkpoint size (the number of police officers) and checkpoint duration (the amount of time in operation) affect associations between individual checkpoints and subsequent alcohol-related crash incidence. METHOD: Queensland Police Service provided latitude-longitude coordinates and date and time data for all breath tests that occurred in Brisbane, Australia, from January 2012 to June 2018. We applied hierarchical cluster analysis to the latitude-longitude coordinates for breath tests, identifying checkpoints as clusters of ≥25 breath tests conducted by ≥3 breath testing devices over a duration of 3 to 8 hours. Generalized linear autoregressive moving average (GLARMA) models related counts of alcohol-involved motor vehicle crashes to the number of checkpoints conducted per week, as well as 1 week prior and 2 weeks prior. RESULTS: A total of 3420 alcohol-related crashes occurred and 2069 checkpoints were conducted in Brisbane over the 6.5-year (339-week) study period. On average, checkpoints included a mean of 266.0 breath tests (SD = 216.3), 16.4 devices (SD = 13.7), and were 286.3 minutes in duration (SD = 104.2). Each 10 additional checkpoints were associated with a 12% decrease in crash incidence at a lag of 1 week (IRR = 0.88; 95%CI: 0.80, 0.97). We detected no differential associations according to checkpoint size or duration. CONCLUSIONS: Sobriety checkpoints are associated with fewer alcohol-related motor vehicle crashes for around 1 week. Checkpoint size and duration do not appear to affect this relationship.

The Short and the Long of it: Timing of Mortality for Older Adults in a State Trauma System.

BACKGROUND: The impact of injury extends beyond the hospital stay, but trauma center performance metrics typically focus on in-hospital mortality. We compared risk adjusted rates of in-hospital and long-term mortality among Pennsylvania trauma centers. We hypothesized that centers with low rates of in-hospital mortality would also have low rates of long-term mortality. METHODS: We identified injured patients (age ≥ 65) admitted to Pennsylvania trauma centers in 2013 and 2014 using the Pennsylvania Trauma Outcomes Study, a robust, state-wide trauma registry. We matched trauma registry records to Medicare claims from the y 2013 to 2015. Matching variables included admission date and patient demographics including date of birth, zip, sex, and race and/or ethnicity. Outcomes examined were inpatient, 30-day, and 1-y mortality. Multivariable logistic regression models including presenting physiology, comorbidities, injury characteristics, and demographics were developed to calculate expected mortality rates for each trauma center at each time point. Trauma center performance was assessed using observed-to-expected ratios and ranking for in-hospital, 30-day, and 1-y mortality. RESULTS: Of the 15,451 patients treated at 28 centers, 8.1% died before discharge or were discharged to hospice. Another 3.4% died within 30 d, and another 14.7% died within 1 y of injury. Of patients who survived hospitalization but died within 30 d, 92.5% were injured due to fall, and 75.0% sustained head injuries. Survival at 1 y was higher in patients discharged home (88.4%), compared to those discharged to a skilled nursing facility or long-term acute care hospital (72.7% and 52.6%, respectively). Three centers were identified as outliers (two low and one high) for in-hospital mortality, none of which were outliers when the horizon was stretched to 30 d from injury. At 30 d, two different low and two different high outliers were found. CONCLUSION: Nearly one-in-three injured older adults who die within 30 d of injury dies after hospital discharge. Hospital rankings for in-hospital mortality correlate poorly with long-term outcomes. These findings underscore the importance of looking beyond survival to discharge for quality improvement and benchmarking.

Association of Gun Violence With Emergency Department Visits for Stress-Responsive Complaints.

STUDY OBJECTIVE: We evaluate the association between living near a neighborhood shooting and emergency department (ED) utilization for stress-responsive complaints. METHODS: In this location-based before-and-after neighborhood study, we examined variability in ED encounter volume for stress-responsive complaints after neighborhood shooting incidents around 2 academic hospitals. We included patients residing within 1/8- and 1/2-mile-diameter buffers around a shooting (place) if their ED encounter occurred 7, 30, or 60 days before or after the shooting (time). Prespecified outcomes were stress-responsive complaints (chest pain, lightheadedness, syncope, hypertension, shortness of breath, asthma, anxiety, depression, and substance use) based on prior literature for stress-responsive diseases. Conditional logistic regression was used to calculate the odds of presentation to the ED with a stress-responsive complaint after, compared with before, a neighborhood shooting incident. RESULTS: Between January 2013 and December 2014, 513 shooting incidents and 19,906 encounters for stress-responsive complaints were included in the analysis. Mean age was 50.3 years (SD 22.3 years), 61.5% were women, and 91% were black. We found increased odds of presenting with syncope in 2 place-time buffers: 30 days in the 1/8-mile buffer (odds ratio 2.61; 99% confidence interval 1.2 to 5.67) and 60 days in 1/8-mile buffer (odds ratio 1.56; 99% confidence interval 0.99 to 2.46). No other chief complaints met our statistical threshold for significance. CONCLUSION: This study evaluated the relationship between objectively measured gun violence exposure and short-term health effect at a microspatial scale. Overall, this was a study with largely negative results, and we did not find any consistent dose-response pattern in time or space regarding neighborhood shootings and stress-responsive presentations to the ED. Theoretic links make this relationship plausible, however, and further investigation is needed to understand the short-term health consequences of violence exposure, and whether those vary based on the circumstances that are experienced inherently by residents of a given neighborhood.

Clinical and sociodemographic factors associated with late stage cervical cancer diagnosis in Botswana.

BACKGROUND: Cervical cancer is the leading cause of female cancer mortality in Botswana with the majority of cervical cancer patients presenting with late-stage disease. The identification of factors associated with late-stage disease could reduce the cervical cancer burden. This study aims to identify potential patient level clinical and sociodemographic factors associated with a late-stage diagnosis of cervical cancer in Botswana in order to help inform future interventions at the community and individual levels to decrease cervical cancer morbidity and mortality. RESULTS: There were 984 women diagnosed with cervical cancer from January 2015 to March 2020 at two tertiary hospitals in Gaborone, Botswana. Four hundred forty women (44.7%) presented with late-stage cervical cancer, and 674 women (69.7%) were living with HIV. The mean age at diagnosis was 50.5 years. The association between late-stage (III/IV) cervical cancer at diagnosis and patient clinical and sociodemographic factors was evaluated using multivariable logistic regression with multiple imputation. Women who reported undergoing cervical cancer screening had lower odds of late-stage disease at diagnosis (OR: 0.63, 95% CI 0.47-0.84) compared to those who did not report screening. Women who had never been married had increased odds of late-stage disease at diagnosis (OR: 1.35, 95% CI 1.02-1.86) compared to women who had been married. Women with abnormal vaginal bleeding had higher odds of late-stage disease at diagnosis (OR: 2.32, 95% CI 1.70-3.16) compared to those without abnormal vaginal bleeding. HIV was not associated with a diagnosis of late-stage cervical cancer. Rural women who consulted a traditional healer had increased odds of late-stage disease at diagnosis compared to rural women who had never consulted a traditional healer (OR: 1.61, 95% CI 1.02-2.55). CONCLUSION: Increasing education and awareness among women, regardless of their HIV status, and among providers, including traditional healers, about the benefits of cervical cancer screening and about the importance of seeking prompt medical care for abnormal vaginal bleeding, while also developing support systems for unmarried women, may help reduce cervical cancer morbidity and mortality in Botswana.

Greater self-reported preference for fat taste and lower fat restraint are associated with more frequent intake of high-fat food.

The determinants of the intake of high-fat products are not well recognized, but fat preference may be one of them. The aim of this study was thus to determine whether intake of different types of high-fat food is associated with fat preference in people with normal and increased body weight. Participants aged 20-40 years [n = 421] were enrolled in Poznan, Poland in 2016-2018. Fat preference was measured using the Fat Preference Questionnaire. Self-reported preference for fat taste (TASTE) and fat restraint (DIFF) scores were calculated. The frequency of consuming high-fat food was measured with an application for mobile devices using ecological momentary assessment. TASTE was positively associated with calorie intake and total frequency of eating high-fat food in both the normal weight and the overweight/obese groups. Overweight and obese people had lower DIFF (p < 0.001) than normal weight people. DIFF was negatively associated with total calorie intake and total intake of high-fat food, but only in normal weight people (ß = -0.16, p < 0.01 and ß = -0.26, p < 0.001, respectively). DIFF was negatively associated with the frequency of eating sweet (ß = -0.33, p < 0.000) and meat high-fat food (ß = -0.25, p < 0.001) in the normal weight group. The frequency of consumption of high-fat food and calorie intake are positively associated with self-reported preference for fat taste. In normal weight subjects fat restraint is negatively associated with calorie intake and total frequency of high-fat food intake, as well as with intake of different types of fatty food. Fat preference measures are thus associated with high-fat food intake, but these associations differ by body weight status.