Injury Epidemiology最新文献

Background: In recent years, the United States (US) has witnessed a rise in political violence. Prior research has found that an individual's social network is associated with their likelihood of engaging in various forms of violence, but research on social networks and political violence in the US context is limited. This study examined associations between social network size and endorsement of political violence in a recent nationally representative survey and explored how the relationship varied by use of social media as a major news source, perceptions of the government as an enemy, and membership in a marginalized or privileged racial or ethnic group.

Methods: This was a nationally representative cross-sectional survey study of adults aged 18 and older in the US, administered from May 13-June 2, 2022. The exposure was social network size, defined by the number of strong social connections. We examined three violence-related outcomes: support for non-political violence, support for political violence, and personal willingness to engage in political violence. We estimated prevalence ratios for associations using survey-weighted Poisson regression with robust standard errors, adjusting for hypothesized confounders and including interaction terms to examine effect measure modification.

Results: The sample included 8,620 respondents. Median age was 48.4 years (95% CI = 47.9-48.8), 51.5% were female (95% CI = 50.4-52.7%), and 62.7% self-identified as non-Hispanic White (95% CI = 61.4-65.9%). In adjusted models, those with zero strong connections were more likely than those with 1-4 strong social connections to consider political violence usually/always justified in general (PR = 2.43, 95% CI = 1.47-4.01). Those with 50 + strong connections were more likely than those with 1-4 strong social connections to consider political violence usually/always justified in at least one situation (PR = 1.19, 95% CI = 1.03-1.37) and were more likely to report being willing to personally use political violence (PR = 1.52, 95% CI = 1.13-2.04). Associations varied somewhat by social media use, perceptions of the government as an enemy, and racialized identity.

Conclusions: Individuals who reported very few and very many strong social connections were more likely than others to support political violence or be personally willing to engage in it in one form or another. Findings point toward potential intervention and prevention opportunities.

Background/objective: Shortly after the onset of the COVID Pandemic, when many schools and outside activities were suspended, dog adoption rates increased. It is unknown if increased dog adoption rates along with stay-at-home orders resulted in changes to pediatric dog bite injuries. The objective of this study was to examine the incidence and characteristics of dog bites in children seen in a pediatric emergency department (PED) during the pandemic compared to before.

Methods: A retrospective review of children evaluated in the PED of a level 1 pediatric trauma center and its satellite PED from March 2018 through February 2022 who had a discharge diagnosis of dog bite (ICD-10 W54.0XXA) was conducted. Pre-pandemic cases, March 2018 through February 2020, were compared to those that occurred during the pandemic, March 2020 through February 2022.

Results: There were 2,222 patients included in the study. Compared to pre-pandemic cases, the incidence for the first 12 months of the pandemic was 1.5 times higher than the pre-pandemic 12-month periods but returned closer to the pre-pandemic rates during the second 12 months of the pandemic. More patients were admitted during the pandemic (6.1% vs. 3.7%, p < 0.05). Facial and multiple injuries occurred more frequently during the pandemic (face 35.9% vs. 33.5%: multiple 18.5% vs. 15.6% p < 0.05).

Conclusions: There was a higher incidence of PED visits, higher admission rates, and an increase in multiple body part and facial injuries in children with dog bite injuries during the COVID pandemic compared to pre-pandemic. Pediatric providers should emphasize safe dog interactions with anticipatory guidance.

Background: Social vulnerability may play a role in social media-involved crime, but few studies have investigated this issue. We investigated associations between social vulnerability and social media-involved violent crimes.

Methods: We analyzed 22,801 violent crimes occurring between 2018 and 2023 in Prince George's County, Maryland. Social media involvement was obtained from crime reports at the Prince George's County Police Department. Social media application types included social networking, advertising/selling, ridesharing, dating, image/video hosting, mobile payment, instant messaging/Voice over Internet Protocol, and other. We used the Centers for Disease Control and Prevention's Social Vulnerability Index to assess socioeconomic status (SES), household characteristics, racial and ethnic minority status, housing type and transportation, and overall vulnerability. Modified Poisson models estimated adjusted prevalence ratios (aPRs) among the overall sample and stratified by crime type (assault and homicide, robbery, and sexual offense). Covariates included year and crime type.

Results: Relative to high tertile areas, we observed a higher prevalence of social media-involved violent crimes in areas with low SES vulnerability (aPR: 1.82, 95% CI: 1.37-2.43), low housing type and transportation vulnerability (aPR: 1.53, 95% CI: 1.17-2.02), and low overall vulnerability (aPR: 1.63, 95% CI: 1.23-2.17). Low SES vulnerability areas were significantly associated with higher prevalences of social media-involved assaults and homicides (aPR: 1.64, 95% CI: 1.02-2.62), robberies (aPR: 2.00, 95% CI: 1.28-3.12), and sexual offenses (aPR: 2.07, 95% CI: 1.02-4.19) compared to high SES vulnerability areas. Low housing type and transportation vulnerability (vs. high) was significantly associated with a higher prevalence of social media-involved robberies (aPR: 1.54, 95% CI:1.01-2.37). Modified Poisson models also indicated that low overall vulnerability areas had higher prevalences of social media-involved robberies (aPR: 1.71, 95% CI: 1.10-2.67) and sexual offenses (aPR: 2.14, 95% CI: 1.05-4.39) than high overall vulnerability areas.

Conclusions: We quantified the prevalence of social media-involved violent crimes across social vulnerability levels. These insights underscore the need for collecting incident-based social media involvement in crime reports among law enforcement agencies across the United States and internationally. Comprehensive data collection at the national and international levels provides the capacity to elucidate the relationships between neighborhoods, social media, and population health.

Background: Suicide is a leading cause of death in the United States with rates increasing over the past two decades. The rate of suicide is higher in rural areas, but a greater number of people in urban areas die by suicide; understanding risk factors for suicide in this context is critically important to public health. Additionally, while many studies have focused on individual-level risk factors, few studies have identified social or structural features associated with suicide or firearm suicide, especially among young people.

Methods: Study outcomes included total firearm suicide, total youth (age 10-29) firearm suicide, total suicide, and total youth suicide in Detroit, Michigan from 2012 through 2019. The predictors in this study included 58 census-tract level variables characterizing the physical features, residential stability, socioeconomic status, and demographics of neighborhoods in Detroit over the study period. We used random forest, extreme gradient boosting (XGBoost), and generalized linear mixed models to predict the four outcomes.

Results: We found that the tract-level variables used in all three modeling approaches performed poorly at predicting the suicide outcomes, with area under the curve values at times exceeding 0.60 but with extremely low sensitivity (ranging from 0.05 to 0.45). However, the percentage of parcels sold in arms-length transfers in the previous 5 years, the count of vacant lots per square mile, and the percentage of children aged three and older who were enrolled in preschool each demonstrated associations with at least two of the outcomes studied.

Conclusions: Our findings suggest place-based factors at the tract level do not provide meaningful insight into the risk of suicide or firearm suicide among youth or the general population in Detroit, Michigan. Future practice and study should consider focusing on both larger and smaller areas, including city and individual-level factors. For example, studies might benefit from the use of both neighborhood and individual-level measures and their interactions to improve our understanding of place-based risk factors and suicide risk.

Introduction: A drowning definition is available for use with National Syndromic Surveillance Program (NSSP) data. However, its accuracy in capturing drowning emergency department and urgent care visits at the regional level is unknown. We tested the ability of the syndromic surveillance (SS) definition in capturing unintentional and undetermined intent drowning (UUID) and describe UUID SS visit trends in a large metropolitan area.

Methods: We applied the drowning definition to NSSP data from 2016 to 2022 for the 8-county metropolitan Houston region. We queried the dataset for UUID ICD-10-CM codes and manually reviewed the chief complaint (CC) and discharge diagnosis (DD) for SS visits. True-positives were calculated by dividing the number of UUID cases identified by UUID ICD-10-CM codes and CC/DD review by the total visits captured by the SS definition. Demographics and trends of UUID visits were calculated from 2018 to 2022 due to limited data from 2016 to 2017 in NSSP.

Results: 2,759 visits were captured by the SS definition. After case review, 2,019 (73.2%) had ICD-10-CM drowning codes of any intent; and 2,015 of those (99.8%) were classified as UUID. Of the remaining 740 cases with no ICD-10-CM codes that were pulled by the SS definition, 690 (93.2%) had a CC/DD diagnosis of drowning/submersion/underwater related to aquatic exposure. Taken together, 2,705 (98.0%) were true-positive UUID visits based on the SS drowning definition.. Children (aged < 18 years) constituted 79% of UUID visits. Black, White and Asian/Pacific Islander persons comprised 17%, 60% and 4% of UUID visits respectively. Rates of UUID visits were lowest in 2020.

Conclusion: Syndromic surveillance is a novel and accurate method to conduct real-time drowning surveillance in a large metropolitan region.

Background: To investigate the characteristics and trends of therapeutic errors that occur outside of healthcare facilities involving diabetes medications reported to US poison centers.

Methods: National Poison Data System data from 2000 to 2021 were retrospectively analyzed.

Results: There were 157,623 exposure cases of non-healthcare facility-related therapeutic errors associated with diabetes medications as the primary substance reported to US poison centers from 2000 to 2021. The rate of all therapeutic errors involving diabetes medications increased by 279.8% from 2000 to 2011, followed by a slower 15.0% increase to 2021. Half (50.1%) of the exposure cases were treated/evaluated and released and 44.1% did not receive treatment in a healthcare facility; however, 9.9% experienced a serious medical outcome, including 17 fatalities, and 1.0% were admitted to a critical care unit and 2.2% to a non-critical care unit. Insulin had the highest rates of therapeutic errors and serious medical outcomes, while sulfonylureas and insulin had the highest medical hospital admission rates. Metformin accounted for 59% (n = 10) of fatalities.

Conclusions: Although most cases of therapeutic errors involving diabetes medications had no or minimal clinical consequences, an important minority were associated with a serious medical outcome or medical hospital admission. Increased efforts to prevent therapeutic errors involving diabetes medications are warranted.

Background: In recent years, there has been a growing number of thefts of firearms stored in vehicles. Despite this trend, there is limited research on firearm storage patterns in vehicles in the United States. This study investigates these storage patterns and evaluates the relationship between the surge in firearm purchases after March 2020 and the practice of storing firearms in vehicles.

Methods: Firearm storage practices were classified into four categories: (a) no vehicle storage, (b) locked vehicle storage only, (c) unlocked vehicle storage only, and (d) both locked and unlocked vehicle storage. Multinomial logistic regression analyses were conducted to determine the association between vehicle firearm storage practices and the main independent variable (firearm purchases since March 2020), adjusting for covariates.

Results: Those who purchased a firearm since March 2020 were significantly more likely to store at least one firearm in a vehicle unlocked only (RRR = 2.41, 95% CI 1.45-3.99) or both locked and unlocked (RRR = 2.57, 95% CI .180-3.67) compared to the reference category of no vehicle storage.

Conclusion: Individuals who purchased a firearm after March 2020 were more likely to report storing a firearm in a vehicle. Given the limited research on patterns of firearm storage in vehicles, these findings provide novel evidence suggesting that firearm purchases following the March 2020 firearm purchasing surge may have fomented behaviors that increased the likelihood of firearm storage in automobiles. Moving forward, there is a need for additional quantitative and qualitative research that can better understand patterns and motivations of firearm storage in vehicles.

Background: Extreme Risk Protection Orders (ERPOs) are civil court orders that prohibit firearm purchase and possession when someone is behaving dangerously and is at risk of harming themselves and/or others. As of June 2024, ERPOs are available in 21 states and the District of Columbia to prevent firearm violence. This paper describes the design and protocol of a six-state study of ERPO use.

Methods: The six states included are California, Colorado, Connecticut, Florida, Maryland, and Washington. During the 3-year project period (2020-2023), ERPO case files were obtained through public records requests or through agreements with agencies with access to these data in each state. A team of over four dozen research assistants from seven institutions coded 6628 ERPO cases, abstracting 80 variables per case under domains related to respondent characteristics, events and behaviors leading to ERPO petitions, petitioner types, and court outcomes. Research assistants received didactic training through an online learning management system that included virtual training modules, quizzes, practice coding exercises, and two virtual synchronous sessions. A protocol for gaining strong interrater reliability was used. Research assistants also learned strategies for reducing the risk of experiencing secondary trauma through the coding process, identifying its occurrence, and obtaining help.

Discussion: Addressing firearm violence in the U.S. is a priority. Understanding ERPO use in these six states can inform implementation planning and ERPO uptake, including promising opportunities to enhance safety and prevent firearm-related injuries and deaths. By publishing this protocol, we offer detailed insight into the methods underlying the papers published from these data, and the process of managing data abstraction from ERPO case files across the multi-state and multi-institution teams involved. Such information may also inform future analyses of this data, and future replication efforts.

Registration: This protocol is registered on Open Science Framework ( https://osf.io/kv4fc/ ).

Background: U.S. firearm sales surged during the COVID-19 pandemic, with many purchases by first-time firearm owners. The 2023 National Survey of Gun Policy sought to understand the public health implications of this surge by comparing the purchasing motivations and firearm policy views of pandemic-era first-time purchasers to prior gun owners.

Methods: We fielded a nationally representative public opinion survey of U.S. adults (n = 3096) from 1/4/23 to 2/6/23. We oversampled for gun owners and Black, Hispanic, and Asian Americans. Survey weights were applied to generate representative estimates. New gun owners were identified through affirmative responses to: "Have you bought any guns since January 1, 2020?" and "Did you buy your first gun after January 1, 2020?" Recent purchasers were additionally asked whether concerns of 1) political or 2) racial violence motivated their purchase. Purchase motivations and gun policy support were examined among new and prior gun owners (n = 1002) and compared using logistic regression and predictive probabilities.

Results: Overall, 11% of respondents reported purchasing a gun since 1/1/20, 35% for the first time. Among recent purchasers, larger proportions of Democrat, Black, Asian, and Hispanic respondents were new gun owners than Republican or white respondents. Compared to prior owners, odds were 4.5-times higher that new gun owners' recent purchase was motivated by racial violence and 3.2-times higher for political violence. Majority support was found for protective gun policies, with few differences by purchase recency or motivations. The only policy for which support by new and prior gun owners differed significantly was the permit-to-purchase policy (76% v. 63%, respectively). Similarly, few significant differences in support were observed when stratifying by purchase motivation. Notably, both those who reported recent purchase motivations of racial violence and of political violence expressed significantly higher support for a "stand-your-ground" policy compared to those who did not report such motivations.

Conclusions: Racial and political violence appear to be larger concerns among new gun owners, motivating purchasing among demographic groups with traditionally lower gun ownership rates. These findings suggest a need for safety assurances amid racial and political tensions and growing gun ownership. Gun owners' support for such policies remains strong.

Background: Head injuries are the most common cause of death in some motorized vehicles for which helmet use can significantly decrease the risk. Our objective was to determine rural adolescents' attitudes regarding helmets and their use while riding ATVs, motorcycles and dirt bikes.

Methods: A convenience sample of 2022 Iowa FFA (formerly Future Farmers of America) Leadership Conference attendees were surveyed. After compilation, data were imported into the statistical program, R ( https://www.R-project.org/ ). Descriptive statistics, contingency table, logistic regression and non-parametric alternatives to ANOVA analyses were performed.

Results: 1331 adolescents (13-18 years) participated. One half lived on a farm, 21% lived in the country/not on a farm and 28% were from towns. Nearly two-thirds (65%) owned an ATV with 77% of all having ridden one in the past year. Farm residents had the highest ATV ownership (78%) and having ridden (80%) proportions, both p < 0.001. Overall, ownership and ridership for motorcycles (22% and 30%, respectively) and dirt bikes (29% and 39%, respectively) was significantly less than ATVs, all p < 0.001. Of ATV riders, those living on farms or in the country/not on a farm rode them more frequently than those from towns, p < 0.001. Higher percentages always/mostly wore helmets when riding dirt bikes (51%) and motorcycles (57%) relative to ATVs (21%), p < 0.001. Those from farms had lower proportions wearing helmets versus those living elsewhere for all vehicles. Helmet use importance ratings (1-10, 10 high) were not different for motorcycles (mean 8.6, median 10) and dirt bikes (mean 8.3, median 10), but much lower for ATVs (mean 6.1, median 6). Females, non-owners, and helmet law supporters all had higher helmet use importance ratings. Males, those from farms, and owners and riders of the vehicles all had lower proportions that supported helmet laws. Support for helmet laws was significantly lower for ATVs (30.7%) than dirt bikes (56.3%) or motorcycles (72.3%), both p < 0.001. Those whose families had strict ATV "No Helmet, No Riding" rules had much higher helmet use and helmet importance ratings.

Conclusions: Our study indicates that the safety culture surrounding helmet use is relatively poor among rural adolescents, especially on farms, and deserves targeted interventions.