Pub Date : 2024-05-27DOI: 10.1186/s40621-024-00507-3
Chinchin Wang, Steven D Stovitz, Jay S Kaufman, Russell J Steele, Ian Shrier
Background: Musculoskeletal injuries are a common occurrence in sport. The goal of sport injury epidemiology is to study these injuries at a population level to inform their prevention and treatment.
Main body: This review provides an overview of musculoskeletal sport injuries and the musculoskeletal system from a biological and epidemiologic perspective, including injury mechanism, categorizations and types of sport injuries, healing, and subsequent injuries. It is meant to provide a concise introductory substantive background of musculoskeletal sport injuries for epidemiologists who may not have formal training in the underlying anatomy and pathophysiology.
Conclusion: An understanding of sport injuries is important for researchers in sport injury epidemiology when determining how to best define and assess their research questions and measures.
{"title":"Principles of musculoskeletal sport injuries for epidemiologists: a review.","authors":"Chinchin Wang, Steven D Stovitz, Jay S Kaufman, Russell J Steele, Ian Shrier","doi":"10.1186/s40621-024-00507-3","DOIUrl":"10.1186/s40621-024-00507-3","url":null,"abstract":"<p><strong>Background: </strong>Musculoskeletal injuries are a common occurrence in sport. The goal of sport injury epidemiology is to study these injuries at a population level to inform their prevention and treatment.</p><p><strong>Main body: </strong>This review provides an overview of musculoskeletal sport injuries and the musculoskeletal system from a biological and epidemiologic perspective, including injury mechanism, categorizations and types of sport injuries, healing, and subsequent injuries. It is meant to provide a concise introductory substantive background of musculoskeletal sport injuries for epidemiologists who may not have formal training in the underlying anatomy and pathophysiology.</p><p><strong>Conclusion: </strong>An understanding of sport injuries is important for researchers in sport injury epidemiology when determining how to best define and assess their research questions and measures.</p>","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11131288/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141158714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-21DOI: 10.1186/s40621-024-00502-8
Ashley M Geczik, Jin Lee, Joseph A Allen, Madison E Raposa, Lucy F Robinson, D Alex Quistberg, Andrea L Davis, Jennifer A Taylor
Background: The Fire service Organizational Culture of Safety (FOCUS) survey is an assessment tool comprised of psychometrically validated metrics of safety climate, safety behavior, and downstream outcomes (organizational and injury) that are specific to the U.S. fire and rescue service.
Methods: This analysis consists of a descriptive summary of two independent survey waves (FOCUS 1.0 and 2.0). The fire departments included in these survey waves were from convenience sampling (n1.0 = 275; n2.0 = 170). In addition to department level characteristics, we examined individual level characteristics for firefighters and EMS providers in participating departments (n1.0 = 22,719; n2.0 = 16,882). We conducted regression analyses to examine the associations between safety climate and safety behaviors, organizational outcomes, and safety outcomes. All analyses were stratified by organization type (career, volunteer).
Results: Our analysis indicated that a majority of respondents were males (90.7%FOCUS 1.0; 90.4%FOCUS 2.0), non-officers (68.4%FOCUS 1.0; 66.4%FOCUS 2.0), and non-Hispanic Whites (70.8%FOCUS 1.0; 69.5%FOCUS 2.0). For both samples there was a higher prevalence of injuries among individuals in career departments (nFOCUS 1.0 = 3778 [17.5%]; nFOCUS 2.0 = 3072 [18.7%]) than volunteer departments (nFOCUS 1.0 = 103 [8.8%]; nFOCUS 2.0 = 34 [7.4%]). We observed an approximate 10-point difference between the mean scores of Management Commitment to Safety for career and volunteer departments in both samples. We observed associations for two organizational outcomes, Safety Behavior and Job Satisfaction, with Management Commitment to Safety and Supervisor Support for Safety overall and when stratified by organization type. We observed a decrease in the odds of injuries associated with a one-unit increase in Management Commitment to Safety (OR1.0 overall: 0.98, 95% CI 0.97-0.99; OR2.0 volunteer: 0.90, 95% CI 0.85-0.95) and Supervisor Support for Safety (OR1.0 overall: 0.95, 95% CI 0.93-0.97; OR1.0 career: 0.95, 95% CI 0.92-0.98).
Conclusions: From our current study, and a prior analysis of a geographically stratified random sample of U.S. fire departments, we identified that from all the organizational outcomes, job satisfaction was most consistently associated with FOCUS safety climate. Further, firefighters in our samples consistently rated Supervisor Support for Safety higher than Management Commitment to Safety. Future interventions should support fire departments in improving their departmental Management Commitment to Safety and maintaining their Supervisor for Safety.
{"title":"An updated analysis of safety climate and downstream outcomes in two convenience samples of U.S. fire departments (FOCUS 1.0 and 2.0 survey waves).","authors":"Ashley M Geczik, Jin Lee, Joseph A Allen, Madison E Raposa, Lucy F Robinson, D Alex Quistberg, Andrea L Davis, Jennifer A Taylor","doi":"10.1186/s40621-024-00502-8","DOIUrl":"10.1186/s40621-024-00502-8","url":null,"abstract":"<p><strong>Background: </strong>The Fire service Organizational Culture of Safety (FOCUS) survey is an assessment tool comprised of psychometrically validated metrics of safety climate, safety behavior, and downstream outcomes (organizational and injury) that are specific to the U.S. fire and rescue service.</p><p><strong>Methods: </strong>This analysis consists of a descriptive summary of two independent survey waves (FOCUS 1.0 and 2.0). The fire departments included in these survey waves were from convenience sampling (n<sub>1.0</sub> = 275; n<sub>2.0</sub> = 170). In addition to department level characteristics, we examined individual level characteristics for firefighters and EMS providers in participating departments (n<sub>1.0</sub> = 22,719; n<sub>2.0</sub> = 16,882). We conducted regression analyses to examine the associations between safety climate and safety behaviors, organizational outcomes, and safety outcomes. All analyses were stratified by organization type (career, volunteer).</p><p><strong>Results: </strong>Our analysis indicated that a majority of respondents were males (90.7%<sub>FOCUS 1.0</sub>; 90.4%<sub>FOCUS 2.0</sub>), non-officers (68.4%<sub>FOCUS 1.0</sub>; 66.4%<sub>FOCUS 2.0</sub>), and non-Hispanic Whites (70.8%<sub>FOCUS 1.0</sub>; 69.5%<sub>FOCUS 2.0</sub>). For both samples there was a higher prevalence of injuries among individuals in career departments (n<sub>FOCUS 1.0</sub> = 3778 [17.5%]; n<sub>FOCUS 2.0</sub> = 3072 [18.7%]) than volunteer departments (n<sub>FOCUS 1.0</sub> = 103 [8.8%]; n<sub>FOCUS 2.0</sub> = 34 [7.4%]). We observed an approximate 10-point difference between the mean scores of Management Commitment to Safety for career and volunteer departments in both samples. We observed associations for two organizational outcomes, Safety Behavior and Job Satisfaction, with Management Commitment to Safety and Supervisor Support for Safety overall and when stratified by organization type. We observed a decrease in the odds of injuries associated with a one-unit increase in Management Commitment to Safety (OR<sub>1.0 overall</sub>: 0.98, 95% CI 0.97-0.99; OR<sub>2.0 volunteer</sub>: 0.90, 95% CI 0.85-0.95) and Supervisor Support for Safety (OR<sub>1.0 overall</sub>: 0.95, 95% CI 0.93-0.97; OR<sub>1.0 career</sub>: 0.95, 95% CI 0.92-0.98).</p><p><strong>Conclusions: </strong>From our current study, and a prior analysis of a geographically stratified random sample of U.S. fire departments, we identified that from all the organizational outcomes, job satisfaction was most consistently associated with FOCUS safety climate. Further, firefighters in our samples consistently rated Supervisor Support for Safety higher than Management Commitment to Safety. Future interventions should support fire departments in improving their departmental Management Commitment to Safety and maintaining their Supervisor for Safety.</p>","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11106928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141077012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-21DOI: 10.1186/s40621-024-00503-7
Garen J Wintemute, Sonia L Robinson, Andrew Crawford, Elizabeth A Tomsich, Paul M Reeping, Aaron B Shev, Bradley Velasquez, Daniel Tancredi
Background: A 2022 survey in the USA found concerningly high prevalences of support for and personal willingness to engage in political violence, of beliefs associated with such violence, and of belief that civil war was likely in the near future. It is important to determine the durability of those findings.
Methods: Wave 2 of a nationally representative cohort survey was conducted May 18-June 8, 2023; the sample comprised all respondents to 2022's Wave 1. Outcomes are expressed as weighted proportions; changes from 2022 to 2023 are for respondents who participated in both surveys, based on aggregated individual change scores.
Results: The completion rate was 84.2%; there were 9385 respondents. After weighting, 50.7% (95% confidence interval (CI) 49.4%, 52.1%) were female; weighted mean (SD) age was 48.5 (25.9) years. About 1 in 20 respondents (5.7%, 95% CI 5.1%, 6.4%) agreed strongly/very strongly that "in the next few years, there will be civil war in the United States," a 7.7% decrease. In 2023, fewer respondents considered violence to be usually/always justified to advance at least 1 of 17 specific political objectives [25.3% (95% CI 24.7%, 26.5%), a 6.8% decrease]. However, more respondents thought it very/extremely likely that within the next few years, in a situation where they consider political violence justified, "I will be armed with a gun" [9.0% (95% CI 8.3%, 9.8%), a 2.2% increase] and "I will shoot someone with a gun" [1.8% (95% CI 1.4%, 2.2%), a 0.6% increase]. Among respondents who considered violence usually/always justified to advance at least 1 political objective, about 1 in 20 also thought it very/extremely likely that they would threaten someone with a gun (5.4%, 95% CI 4.0%, 7.0%) or shoot someone (5.7%, 95% CI 4.3%, 7.1%) to advance such an objective.
Conclusions: In this cohort, support for political violence declined from 2022 to 2023, but predictions of firearm use in political violence increased. These findings can help guide prevention efforts, which are urgently needed.
{"title":"Single-year change in views of democracy and society and support for political violence in the USA: findings from a 2023 nationally representative survey.","authors":"Garen J Wintemute, Sonia L Robinson, Andrew Crawford, Elizabeth A Tomsich, Paul M Reeping, Aaron B Shev, Bradley Velasquez, Daniel Tancredi","doi":"10.1186/s40621-024-00503-7","DOIUrl":"10.1186/s40621-024-00503-7","url":null,"abstract":"<p><strong>Background: </strong>A 2022 survey in the USA found concerningly high prevalences of support for and personal willingness to engage in political violence, of beliefs associated with such violence, and of belief that civil war was likely in the near future. It is important to determine the durability of those findings.</p><p><strong>Methods: </strong>Wave 2 of a nationally representative cohort survey was conducted May 18-June 8, 2023; the sample comprised all respondents to 2022's Wave 1. Outcomes are expressed as weighted proportions; changes from 2022 to 2023 are for respondents who participated in both surveys, based on aggregated individual change scores.</p><p><strong>Results: </strong>The completion rate was 84.2%; there were 9385 respondents. After weighting, 50.7% (95% confidence interval (CI) 49.4%, 52.1%) were female; weighted mean (SD) age was 48.5 (25.9) years. About 1 in 20 respondents (5.7%, 95% CI 5.1%, 6.4%) agreed strongly/very strongly that \"in the next few years, there will be civil war in the United States,\" a 7.7% decrease. In 2023, fewer respondents considered violence to be usually/always justified to advance at least 1 of 17 specific political objectives [25.3% (95% CI 24.7%, 26.5%), a 6.8% decrease]. However, more respondents thought it very/extremely likely that within the next few years, in a situation where they consider political violence justified, \"I will be armed with a gun\" [9.0% (95% CI 8.3%, 9.8%), a 2.2% increase] and \"I will shoot someone with a gun\" [1.8% (95% CI 1.4%, 2.2%), a 0.6% increase]. Among respondents who considered violence usually/always justified to advance at least 1 political objective, about 1 in 20 also thought it very/extremely likely that they would threaten someone with a gun (5.4%, 95% CI 4.0%, 7.0%) or shoot someone (5.7%, 95% CI 4.3%, 7.1%) to advance such an objective.</p><p><strong>Conclusions: </strong>In this cohort, support for political violence declined from 2022 to 2023, but predictions of firearm use in political violence increased. These findings can help guide prevention efforts, which are urgently needed.</p>","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11110245/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141077017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: 10.1186/s40621-024-00505-5
Kristin Salottolo, R Joseph Sliter, Gary Marshall, Carlos H Palacio Lascano, Glenda Quan, David Hamilton, Robert Madayag, Gina Berg, David Bar-Or
Background: There is an epidemic of firearm injuries in the United States since the mid-2000s. Thus, we sought to examine whether hospitalization from firearm injuries have increased over time, and to examine temporal changes in patient demographics, firearm injury intent, and injury severity.
Methods: This was a multicenter, retrospective, observational cohort study of patients hospitalized with a traumatic injury to six US level I trauma centers between 1/1/2016 and 6/30/2022. ICD-10-CM cause codes were used to identify and describe firearm injuries. Temporal trends were compared for demographics (age, sex, race, insured status), intent (assault, unintentional, self-harm, legal intervention, and undetermined), and severity (death, ICU admission, severe injury (injury severity score ≥ 16), receipt of blood transfusion, mechanical ventilation, and hospital and ICU LOS (days). Temporal trends were examined over 13 six-month intervals (H1, January-June; H2, July-December) using joinpoint regression and reported as semi-annual percent change (SPC); significance was p < 0.05.
Results: Firearm injuries accounted for 2.6% (1908 of 72,474) of trauma hospitalizations. The rate of firearm injuries initially declined from 2016-H1 to 2018-H2 (SPC = - 4.0%, p = 0.002), followed by increased rates from 2018-H2 to 2020-H1 (SPC = 9.0%, p = 0.005), before stabilizing from 2020-H1 to 2022-H1 (0.5%, p = 0.73). NH black patients had the greatest hospitalization rate from firearm injuries (14.0%) and were the only group to demonstrate a temporal increase (SPC = 6.3%, p < 0.001). The proportion of uninsured patients increased (SPC = 2.3%, p = 0.02) but there were no temporal changes by age or sex. ICU admission rates declined (SPC = - 2.2%, p < 0.001), but ICU LOS increased (SPC = 2.8%, p = 0.04). There were no significant changes over time in rates of death (SPC = 0.3%), severe injury (SPC = 1.6%), blood transfusion (SPC = 0.6%), and mechanical ventilation (SPC = 0.6%). When examined by intent, self-harm injuries declined over time (SPC = - 4.1%, p < 0.001), assaults declined through 2019-H2 (SPC = - 5.6%, p = 0.01) before increasing through 2022-H1 (SPC = 6.5%, p = 0.01), while undetermined injuries increased through 2019-H1 (SPC = 24.1%, p = 0.01) then stabilized (SPC = - 4.5%, p = 0.39); there were no temporal changes in unintentional injuries or legal intervention.
Conclusions: Hospitalizations from firearm injuries are increasing following a period of declines, driven by increases among NH Black patients. Trauma systems need to consider these changing trends to best address the needs of the injured population.
{"title":"A joinpoint analysis examining trends in firearm injuries at six us trauma centers from 2016 to 2022.","authors":"Kristin Salottolo, R Joseph Sliter, Gary Marshall, Carlos H Palacio Lascano, Glenda Quan, David Hamilton, Robert Madayag, Gina Berg, David Bar-Or","doi":"10.1186/s40621-024-00505-5","DOIUrl":"10.1186/s40621-024-00505-5","url":null,"abstract":"<p><strong>Background: </strong>There is an epidemic of firearm injuries in the United States since the mid-2000s. Thus, we sought to examine whether hospitalization from firearm injuries have increased over time, and to examine temporal changes in patient demographics, firearm injury intent, and injury severity.</p><p><strong>Methods: </strong>This was a multicenter, retrospective, observational cohort study of patients hospitalized with a traumatic injury to six US level I trauma centers between 1/1/2016 and 6/30/2022. ICD-10-CM cause codes were used to identify and describe firearm injuries. Temporal trends were compared for demographics (age, sex, race, insured status), intent (assault, unintentional, self-harm, legal intervention, and undetermined), and severity (death, ICU admission, severe injury (injury severity score ≥ 16), receipt of blood transfusion, mechanical ventilation, and hospital and ICU LOS (days). Temporal trends were examined over 13 six-month intervals (H1, January-June; H2, July-December) using joinpoint regression and reported as semi-annual percent change (SPC); significance was p < 0.05.</p><p><strong>Results: </strong>Firearm injuries accounted for 2.6% (1908 of 72,474) of trauma hospitalizations. The rate of firearm injuries initially declined from 2016-H1 to 2018-H2 (SPC = - 4.0%, p = 0.002), followed by increased rates from 2018-H2 to 2020-H1 (SPC = 9.0%, p = 0.005), before stabilizing from 2020-H1 to 2022-H1 (0.5%, p = 0.73). NH black patients had the greatest hospitalization rate from firearm injuries (14.0%) and were the only group to demonstrate a temporal increase (SPC = 6.3%, p < 0.001). The proportion of uninsured patients increased (SPC = 2.3%, p = 0.02) but there were no temporal changes by age or sex. ICU admission rates declined (SPC = - 2.2%, p < 0.001), but ICU LOS increased (SPC = 2.8%, p = 0.04). There were no significant changes over time in rates of death (SPC = 0.3%), severe injury (SPC = 1.6%), blood transfusion (SPC = 0.6%), and mechanical ventilation (SPC = 0.6%). When examined by intent, self-harm injuries declined over time (SPC = - 4.1%, p < 0.001), assaults declined through 2019-H2 (SPC = - 5.6%, p = 0.01) before increasing through 2022-H1 (SPC = 6.5%, p = 0.01), while undetermined injuries increased through 2019-H1 (SPC = 24.1%, p = 0.01) then stabilized (SPC = - 4.5%, p = 0.39); there were no temporal changes in unintentional injuries or legal intervention.</p><p><strong>Conclusions: </strong>Hospitalizations from firearm injuries are increasing following a period of declines, driven by increases among NH Black patients. Trauma systems need to consider these changing trends to best address the needs of the injured population.</p>","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11092259/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140916958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-02DOI: 10.1186/s40621-024-00500-w
Alaina De Biasi, Anthony A Braga, Brad Velasquez, Garen Wintemute
Background: Privately made firearms (PMFs) or "ghost guns" are homemade, unserialized, untraceable firearms that have been increasingly used in violent crime in the United States. Very little is known about the types of PMFs recovered by law enforcement agencies and the crimes associated with these recoveries. This lack of information limits effective violence prevention policies and practices. Comparative analysis of PMF recoveries in specific cities helps clarify whether local PMF patterns and characteristics vary or reflect more general trends. This research advances epidemiological understanding of emergent violent gun injury prevention challenges by identifying variations in recovered PMF types and use in violent, drug, and weapon-related offenses in Los Angeles and San Diego, California.
Methods: Conjunctive analysis of case configurations (CACC) identifies patterns among observations (i.e., case configurations) and calculates their probability associated with a given outcome. CACC was used to identify the most common types of PMFs recovered by the Los Angeles (LAPD) and San Diego (SDPD) police departments. For each department and offense type, case configurations with above-average probabilities of offense involvement were determined. Comparisons across departments were made to identify similarities and differences in PMF characteristics and usage.
Results: PMFs were more likely to be involved in violent and weapon-related offenses in Los Angles but more likely to be involved in drug-related offenses in San Diego. In both cities, the 9 mm Polymer 80 handgun was the dominant PMF. However, 9 mm handguns were most likely to be involved in weapon-related offenses in Los Angeles compared to 0.40 handguns in San Diego. Furthermore, large-caliber handguns tended to display above-average probabilities of involvement in violent and drug offenses in Los Angeles. Long guns were represented in case configurations with above-average probabilities of involvement in substantive crimes, including violence.
Conclusions: Comparative analyses of PMF recovery patterns in Los Angeles and San Diego reveal meaningful contextual variations in PMF characteristics and suggest intentional firearm type selections by offenders. The results support increased regulation of PMFs and highlight the importance of efforts to identify and disrupt the illicit supply of large-caliber PMF handguns and PMF long guns.
{"title":"Ghost guns and crime: a tale of two California cities.","authors":"Alaina De Biasi, Anthony A Braga, Brad Velasquez, Garen Wintemute","doi":"10.1186/s40621-024-00500-w","DOIUrl":"https://doi.org/10.1186/s40621-024-00500-w","url":null,"abstract":"<p><strong>Background: </strong>Privately made firearms (PMFs) or \"ghost guns\" are homemade, unserialized, untraceable firearms that have been increasingly used in violent crime in the United States. Very little is known about the types of PMFs recovered by law enforcement agencies and the crimes associated with these recoveries. This lack of information limits effective violence prevention policies and practices. Comparative analysis of PMF recoveries in specific cities helps clarify whether local PMF patterns and characteristics vary or reflect more general trends. This research advances epidemiological understanding of emergent violent gun injury prevention challenges by identifying variations in recovered PMF types and use in violent, drug, and weapon-related offenses in Los Angeles and San Diego, California.</p><p><strong>Methods: </strong>Conjunctive analysis of case configurations (CACC) identifies patterns among observations (i.e., case configurations) and calculates their probability associated with a given outcome. CACC was used to identify the most common types of PMFs recovered by the Los Angeles (LAPD) and San Diego (SDPD) police departments. For each department and offense type, case configurations with above-average probabilities of offense involvement were determined. Comparisons across departments were made to identify similarities and differences in PMF characteristics and usage.</p><p><strong>Results: </strong>PMFs were more likely to be involved in violent and weapon-related offenses in Los Angles but more likely to be involved in drug-related offenses in San Diego. In both cities, the 9 mm Polymer 80 handgun was the dominant PMF. However, 9 mm handguns were most likely to be involved in weapon-related offenses in Los Angeles compared to 0.40 handguns in San Diego. Furthermore, large-caliber handguns tended to display above-average probabilities of involvement in violent and drug offenses in Los Angeles. Long guns were represented in case configurations with above-average probabilities of involvement in substantive crimes, including violence.</p><p><strong>Conclusions: </strong>Comparative analyses of PMF recovery patterns in Los Angeles and San Diego reveal meaningful contextual variations in PMF characteristics and suggest intentional firearm type selections by offenders. The results support increased regulation of PMFs and highlight the importance of efforts to identify and disrupt the illicit supply of large-caliber PMF handguns and PMF long guns.</p>","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11067238/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140858495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-26DOI: 10.1186/s40621-024-00501-9
Leah E Roberts, Christina A Mehranbod, Brady Bushover, Ariana N Gobaud, Evan L Eschliman, Carolyn Fish, Siddhesh Zadey, Xiang Gao, Christopher N Morrison
Background: Public transportation use is influenced by perceptions of safety. Concerns related to crime on New York City (NYC) transit have risen following NYC's COVID-19 pandemic state of emergency declaration in 2020, leading to declines in subway ridership. In response, the most recent mayoral administration implemented a Subway Safety Plan in 2022. This study aimed to quantify the effects of the COVID-19 pandemic and the Subway Safety Plan on rates of complaints to and arrests by the New York City Police Department (NYPD) Transit Bureau.
Methods: Using publicly available data on complaints and arrests, we conducted interrupted time-series analyses using autoregressive integrated moving average models applied to monthly data for the period from September 2018 to August 2023. We estimated changes in the rates of complaints to and arrests by the NYPD Transit Bureau before and after: (1) the COVID-19 pandemic state of emergency declaration (i.e., March 2020), and (2) the announcement of the Subway Safety Plan (i.e., February 2022). We also examined trends by complaint and arrest type as well as changes in proportion of arrests by demographic and geographic groups.
Results: After the COVID-19 pandemic declaration, there was an 84% increase (i.e., an absolute increase of 6.07 per 1,000,000 riders, CI 1.42, 10.71) in complaints to the NYPD Transit Bureau, including a 99% increase (0.91 per 1,000,000 riders, CI 0.42, 1.41) in complaints for assault and a 125% increase in complaints for harassment (0.94 per 1,000,000 riders, CI 0.29, 1.60). Following the Subway Safety Plan there was an increase in the rate of arrests for harassment (0.004 per 1,000,000 riders, CI 0.001, 0.007), as well as decreases in the proportion of arrests for individuals racialized as White (- 0.02, CI - 0.04, - 0.01) and proportion of arrests in the borough of Manhattan (- 0.13, CI - 0.17, - 0.09).
Conclusions: The increased rates of complaints to the NYPD Transit Bureau following the onset of the COVID-19 pandemic remained elevated following the enactment of the Subway Safety Plan. Further evaluation efforts can help identify effective means of promoting safety on public transportation.
{"title":"Trends in police complaints and arrests on New York City subways, 2018 to 2023: an interrupted time-series analysis.","authors":"Leah E Roberts, Christina A Mehranbod, Brady Bushover, Ariana N Gobaud, Evan L Eschliman, Carolyn Fish, Siddhesh Zadey, Xiang Gao, Christopher N Morrison","doi":"10.1186/s40621-024-00501-9","DOIUrl":"10.1186/s40621-024-00501-9","url":null,"abstract":"<p><strong>Background: </strong>Public transportation use is influenced by perceptions of safety. Concerns related to crime on New York City (NYC) transit have risen following NYC's COVID-19 pandemic state of emergency declaration in 2020, leading to declines in subway ridership. In response, the most recent mayoral administration implemented a Subway Safety Plan in 2022. This study aimed to quantify the effects of the COVID-19 pandemic and the Subway Safety Plan on rates of complaints to and arrests by the New York City Police Department (NYPD) Transit Bureau.</p><p><strong>Methods: </strong>Using publicly available data on complaints and arrests, we conducted interrupted time-series analyses using autoregressive integrated moving average models applied to monthly data for the period from September 2018 to August 2023. We estimated changes in the rates of complaints to and arrests by the NYPD Transit Bureau before and after: (1) the COVID-19 pandemic state of emergency declaration (i.e., March 2020), and (2) the announcement of the Subway Safety Plan (i.e., February 2022). We also examined trends by complaint and arrest type as well as changes in proportion of arrests by demographic and geographic groups.</p><p><strong>Results: </strong>After the COVID-19 pandemic declaration, there was an 84% increase (i.e., an absolute increase of 6.07 per 1,000,000 riders, CI 1.42, 10.71) in complaints to the NYPD Transit Bureau, including a 99% increase (0.91 per 1,000,000 riders, CI 0.42, 1.41) in complaints for assault and a 125% increase in complaints for harassment (0.94 per 1,000,000 riders, CI 0.29, 1.60). Following the Subway Safety Plan there was an increase in the rate of arrests for harassment (0.004 per 1,000,000 riders, CI 0.001, 0.007), as well as decreases in the proportion of arrests for individuals racialized as White (- 0.02, CI - 0.04, - 0.01) and proportion of arrests in the borough of Manhattan (- 0.13, CI - 0.17, - 0.09).</p><p><strong>Conclusions: </strong>The increased rates of complaints to the NYPD Transit Bureau following the onset of the COVID-19 pandemic remained elevated following the enactment of the Subway Safety Plan. Further evaluation efforts can help identify effective means of promoting safety on public transportation.</p>","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11055262/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140872488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-11DOI: 10.1186/s40621-024-00497-2
D. Swedler, Bina Ali, Rebecca Hoffman, Jennifer Leonardo, Eduardo Romano, Ted R Miller
{"title":"Injury and fatality risks for child pedestrians and cyclists on public roads","authors":"D. Swedler, Bina Ali, Rebecca Hoffman, Jennifer Leonardo, Eduardo Romano, Ted R Miller","doi":"10.1186/s40621-024-00497-2","DOIUrl":"https://doi.org/10.1186/s40621-024-00497-2","url":null,"abstract":"","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140714753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.1186/s40621-024-00496-3
Jaquelyn L. Jahn, Gabriel L. Schwartz
{"title":"Who are the “police” in “police violence”? Fatal violence by U.S. law enforcement agencies across levels of government","authors":"Jaquelyn L. Jahn, Gabriel L. Schwartz","doi":"10.1186/s40621-024-00496-3","DOIUrl":"https://doi.org/10.1186/s40621-024-00496-3","url":null,"abstract":"","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140743424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-29DOI: 10.1186/s40621-024-00494-5
Jingzhen Yang, Corinne Peek-Asa, Ying Zhang, Cara Hamann, Motao Zhu, Yang Wang, Archana Kaur, Robyn Recker, Dominique Rose, Lisa Roth
Background: Teen drivers with a traffic violation are at increased risk for crashes and crash-related injuries; however, most parent-focused interventions target teen drivers with supervised learner's permits. Very few interventions are implemented at the probationary driver's license stage or target high-risk teen drivers, such as those with traffic violations. This paper describes the protocol of ProjectDRIVE, A Randomized Controlled Trial to Improve Driving Practices of High-Risk Teen Drivers with a Traffic Violation, which targets improving parent-teen communication about safe driving practices to reduce unsafe driving behaviors and traffic violation recidivism of teen drivers cited for traffic violation.
Methods: Teen drivers (ages 16 or 17) cited for a moving violation and the parent/legal guardian most involved with the teen's driving are recruited from juvenile traffic courts following their required court hearing. After completing informed consent/assent, enrolled dyads are randomized into one of three groups using stratified block randomization: control, device feedback only, or device feedback plus parent communication training. Participating dyads are followed for 6 months with 3 months of active intervention. Using in-vehicle device and smartphone application technology, the study provides real-time and cumulative driving feedback to intervention teens and collects continually recorded, objectively measured driving outcome data throughout the teen's study participation. Primary outcomes include rates of risky driving events and unsafe driving behaviors per 1000 miles driven. Secondary outcomes include traffic violation recidivism up to 12 months following study completion and frequency and quality of parent-teen communication about safe driving practices.
Discussion: Through partnership with the local juvenile traffic courts, this study integrates recruitment and randomization into existing court practices. Successfully completing this study will significantly impact juvenile traffic court's practices and policies by informing judges' decisions regarding the driving safety programs they refer to teens to prevent motor vehicle crashes and crash-related injuries and deaths. Trial registration The study was registered on ClinicalTrials.gov Registry (NCT04317664) on March 19, 2020, https://clinicaltrials.gov/study/NCT04317664 and updated on April 27, 2021. This protocol was developed per the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) Checklist.
{"title":"ProjectDRIVE: study protocol for a randomized controlled trial to improve driving practices of high-risk teen drivers with a traffic violation.","authors":"Jingzhen Yang, Corinne Peek-Asa, Ying Zhang, Cara Hamann, Motao Zhu, Yang Wang, Archana Kaur, Robyn Recker, Dominique Rose, Lisa Roth","doi":"10.1186/s40621-024-00494-5","DOIUrl":"10.1186/s40621-024-00494-5","url":null,"abstract":"<p><strong>Background: </strong>Teen drivers with a traffic violation are at increased risk for crashes and crash-related injuries; however, most parent-focused interventions target teen drivers with supervised learner's permits. Very few interventions are implemented at the probationary driver's license stage or target high-risk teen drivers, such as those with traffic violations. This paper describes the protocol of ProjectDRIVE, A Randomized Controlled Trial to Improve Driving Practices of High-Risk Teen Drivers with a Traffic Violation, which targets improving parent-teen communication about safe driving practices to reduce unsafe driving behaviors and traffic violation recidivism of teen drivers cited for traffic violation.</p><p><strong>Methods: </strong>Teen drivers (ages 16 or 17) cited for a moving violation and the parent/legal guardian most involved with the teen's driving are recruited from juvenile traffic courts following their required court hearing. After completing informed consent/assent, enrolled dyads are randomized into one of three groups using stratified block randomization: control, device feedback only, or device feedback plus parent communication training. Participating dyads are followed for 6 months with 3 months of active intervention. Using in-vehicle device and smartphone application technology, the study provides real-time and cumulative driving feedback to intervention teens and collects continually recorded, objectively measured driving outcome data throughout the teen's study participation. Primary outcomes include rates of risky driving events and unsafe driving behaviors per 1000 miles driven. Secondary outcomes include traffic violation recidivism up to 12 months following study completion and frequency and quality of parent-teen communication about safe driving practices.</p><p><strong>Discussion: </strong>Through partnership with the local juvenile traffic courts, this study integrates recruitment and randomization into existing court practices. Successfully completing this study will significantly impact juvenile traffic court's practices and policies by informing judges' decisions regarding the driving safety programs they refer to teens to prevent motor vehicle crashes and crash-related injuries and deaths. Trial registration The study was registered on ClinicalTrials.gov Registry (NCT04317664) on March 19, 2020, https://clinicaltrials.gov/study/NCT04317664 and updated on April 27, 2021. This protocol was developed per the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) Checklist.</p>","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10979602/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140327221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}