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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.
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Conducción Distraída , Humanos , Femenino , Masculino , Adulto , Persona de Mediana Edad , Conducción Distraída/prevención & control , Anciano , Adolescente , Conducción de Automóvil , Adulto JovenRESUMEN
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.
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Armas de Fuego , Suicidio , Heridas por Arma de Fuego , Humanos , Estados Unidos/epidemiología , Homicidio , Ciudades , Vigilancia de la Población , Heridas por Arma de Fuego/epidemiologíaRESUMEN
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.
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Censos , Análisis de Supervivencia , Femenino , Humanos , Masculino , Causalidad , Simulación por Computador , Modelos de Riesgos ProporcionalesRESUMEN
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.
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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.
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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.
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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.
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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.
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Traumatismos en Atletas , Conmoción Encefálica , COVID-19 , Humanos , Masculino , Femenino , Conmoción Encefálica/epidemiología , Conmoción Encefálica/prevención & control , Traumatismos en Atletas/epidemiología , Traumatismos en Atletas/prevención & control , Adolescente , Estudios Retrospectivos , Incidencia , COVID-19/prevención & control , COVID-19/epidemiología , Instituciones Académicas , Estudiantes/estadística & datos numéricos , Estudios de Cohortes , Fútbol Americano/lesiones , Atletas , Deportes , Baloncesto/lesionesRESUMEN
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.
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Trastornos Cerebrovasculares , Reserva Cognitiva , Demencia , Deficiencias en la Proteostasis , Humanos , Estudios Transversales , Características del VecindarioRESUMEN
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.
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Armas de Fuego , Suicidio , Heridas por Arma de Fuego , Adolescente , Humanos , Estados Unidos/epidemiología , Homicidio , Heridas por Arma de Fuego/epidemiología , Estudios Transversales , Factores de RiesgoRESUMEN
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.
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Conmoción Encefálica , Evaluación Ecológica Momentánea , Adolescente , Humanos , Niño , Masculino , Femenino , Estudios Prospectivos , Conmoción Encefálica/diagnóstico , Ejercicio Físico , Servicio de Urgencia en HospitalRESUMEN
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.
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Incidentes con Víctimas en Masa , Heridas y Lesiones , Ciudades , Humanos , Plasma , Resucitación/métodosRESUMEN
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.
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Calidad de Vida , Autocuidado , Adulto , Enfermedad Crónica , Humanos , Psicometría/métodos , Reproducibilidad de los Resultados , Autocuidado/métodos , Encuestas y CuestionariosRESUMEN
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.
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Traumatismos en Atletas , Conmoción Encefálica , Atletas/psicología , Traumatismos en Atletas/diagnóstico , Traumatismos en Atletas/epidemiología , Traumatismos en Atletas/terapia , Conmoción Encefálica/diagnóstico , Conmoción Encefálica/epidemiología , Conmoción Encefálica/terapia , Femenino , Humanos , Masculino , Estudios Prospectivos , Volver al Deporte , EstudiantesRESUMEN
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.
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Armas de Fuego , Suicidio , Teorema de Bayes , Niño , Homicidio , Humanos , Incidencia , Estados Unidos/epidemiología , ViolenciaRESUMEN
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.
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Grasas de la Dieta/administración & dosificación , Ingestión de Alimentos/fisiología , Ingestión de Alimentos/psicología , Preferencias Alimentarias/fisiología , Preferencias Alimentarias/psicología , Hambre/fisiología , Adulto , Índice de Masa Corporal , Conducta Alimentaria/fisiología , Conducta Alimentaria/psicología , Femenino , Humanos , Masculino , Filosofía , Polimorfismo de Nucleótido Simple , Receptores Opioides mu/genética , Adulto JovenRESUMEN
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).
Asunto(s)
Armas de Fuego/legislación & jurisprudencia , Homicidio/estadística & datos numéricos , Violencia/estadística & datos numéricos , Florida , Humanos , Racismo , Estados UnidosRESUMEN
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.
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Nivel de Alcohol en Sangre , Pruebas Respiratorias/instrumentación , Pruebas Dirigidas al Consumidor , Teléfono Inteligente , Adulto , Femenino , Humanos , Masculino , Reproducibilidad de los Resultados , Adulto JovenRESUMEN
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.
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Accidentes de Tránsito/prevención & control , Accidentes de Tránsito/estadística & datos numéricos , Conducir bajo la Influencia/prevención & control , Aplicación de la Ley , Pruebas Respiratorias , HumanosRESUMEN
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.