{"title":"Spatio-temporal clustering of drowning mortality in Iran, from 2005 to 2022.","authors":"Samaneh Ziyaee, Fatemeh Shahbazi, Reza Hajmanouchehri, Seyed Saeed Hashemi Nazari","doi":"10.1136/ip-2024-045356","DOIUrl":"https://doi.org/10.1136/ip-2024-045356","url":null,"abstract":"<p><strong>Background: </strong>Drowning is a serious and neglected public health threat, and prevention of drowning has a multisectoral nature and requires multidimensional research. Therefore, this study aimed to evaluate the spatio-temporal variation in fatal unintentional drowning rates among the Iranian population from 2005 to 2022.</p><p><strong>Methods: </strong>In this repeated cross-sectional study, registry data were extracted from legal medicine organisations during 2005-2022. The mortality rate per 1 million population was calculated by gender and province. The joinpoint regression model was fitted to estimate average annual percentage changes and an annual percentage change in the drowning mortality rate. We used spatial scan statistics to detect high-risk clusters of drowning deaths at the provincial level.</p><p><strong>Results: </strong>Over 17 years 19 547 people died due to unintentional drowning. The highest yearly drowning rate was 15.58 per 1 000 000, and men had the highest rates of death (25.91) compared with women (4.98) in 2019. The overall mortality rate has decreased from 18.69 in 2005 to 12.87 in 2022. In the spatio-temporal analysis, four statistically significant high-risk clusters were detected in the north, southeast and centre of Iran.</p><p><strong>Conclusion: </strong>The overall mortality rate in 2022 decreased compared with the 17-year period. In the spatial analysis, several high-risk clusters were identified in different locations, which highlights the importance of targeted and more comprehensive interventions. It seems that the prevention of drowning requires the effective participation of all responsible organisations and risk reduction plans in the field of environmental and individual risk factors.</p>","PeriodicalId":13682,"journal":{"name":"Injury Prevention","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143004948","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}
Manish Mohan, Dan Weaving, Andrew J Gardner, Sharief Hendricks, Keith A Stokes, Gemma Phillips, Matt Cross, Cameron Owen, Ben Jones
{"title":"Can a novel computer vision-based framework detect head-on-head impacts during a rugby league tackle?","authors":"Manish Mohan, Dan Weaving, Andrew J Gardner, Sharief Hendricks, Keith A Stokes, Gemma Phillips, Matt Cross, Cameron Owen, Ben Jones","doi":"10.1136/ip-2023-045129","DOIUrl":"https://doi.org/10.1136/ip-2023-045129","url":null,"abstract":"<p><strong>Background: </strong>Head-on-head impacts are a risk factor for concussion, which is a concern for sports. Computer vision frameworks may provide an automated process to identify head-on-head impacts, although this has not been applied or evaluated in rugby.</p><p><strong>Methods: </strong>This study developed and evaluated a novel computer vision framework to automatically classify head-on-head and non-head-on-head impacts. Tackle events from professional rugby league matches were coded as either head-on-head or non-head-on-head impacts. These included non-televised standard-definition and televised high-definition video clips to train (n=341) and test (n=670) the framework. A computer vision framework consisting of two deep learning networks, an object detection algorithm and three-dimensional Convolutional Neural Networks, was employed and compared with the analyst-coded criterion. Sensitivity, specificity and positive predictive value were reported.</p><p><strong>Results: </strong>The overall performance evaluation of the framework to classify head-on-head impacts against manual coding had a sensitivity, specificity and positive predictive value (95% CIs) of 68% (58% to 78%), 84% (78% to 88%) and 0.61 (0.54 to 0.69) in standard-definition clips, and 65% (55% to 75%), 84% (79% to 89%) and 0.61 (0.53 to 0.68) in high-definition clips.</p><p><strong>Conclusion: </strong>The study introduces a novel computer vision framework for head-on-head impact detection. Governing bodies may also use the framework in real time, or for retrospective analysis of historical videos, to establish head-on-head rates and evaluate prevention strategies. Future work should explore the application of the framework to other head-contact mechanisms and also the utility in real time to identify potential events for clinical assessment.</p>","PeriodicalId":13682,"journal":{"name":"Injury Prevention","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143004947","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}
Shaun Edalati, Sujay Ratna, Jacqueline Slobin, Nathan J Wallace, Satish Govindaraj, Alfred Marc Iloreta
{"title":"Head and neck injuries from personal motorised vehicles in the United States.","authors":"Shaun Edalati, Sujay Ratna, Jacqueline Slobin, Nathan J Wallace, Satish Govindaraj, Alfred Marc Iloreta","doi":"10.1136/ip-2024-045453","DOIUrl":"https://doi.org/10.1136/ip-2024-045453","url":null,"abstract":"<p><strong>Background: </strong>The use of personal electric vehicles in the United States has increased head and neck injuries. This study analyses the types, frequencies, demographics and management of these injuries across motorised vehicles.</p><p><strong>Methods: </strong>This study uses 2020-2023 data from the National Electronic Injury Surveillance System to analyse injuries from various powered vehicles, incorporating diagnostic, event-related and demographic factors. In addition, the study evaluates non-powered skateboard-related injuries, which provided a comparable baseline for motorised vehicle injuries.</p><p><strong>Results: </strong>Our analysis included 3721 head and neck injuries: 1359 from scooters, 1743 from skateboards and 619 from hoverboards. Males sustained most injuries, accounting for 64% of scooter accidents, 74% of skateboard accidents and 58% of hoverboard accidents. Hospitalisation was required in 10% of scooter accidents, 9.2% of skateboard accidents and 6.9% of hoverboard accidents. Males, alcohol use and drug use were associated with increased risk of hospitalisation (p=0.00002, p=0.00004 and p<0.00001, respectively). Internal injury (37%) and lacerations (24%) were the most common types of injury. In cases, wear helmets were worn involving helmets, there were no significant differences in hospitalisation rates.</p><p><strong>Discussion: </strong>These findings underscore the need for improved injury prevention strategies, including more effective helmet designs and infrastructure enhancements, to reduce the growing burden of micromobility vehicle-related head and neck injuries.</p><p><strong>Conclusion: </strong>The rising incidence of head and neck injuries associated with personal mobility vehicles highlights the need for injury management and prevention strategies. Helmets may mitigate head and neck injuries associated with motorised scooters, skateboards and hoverboards.</p>","PeriodicalId":13682,"journal":{"name":"Injury Prevention","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143004964","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}
Charles Okafor, Namal N Balasooriya, Amy T Page, Anne-Marie Hill, Christopher D Etherton-Beer, Tracy Comans
{"title":"Healthcare spending and factors associated with fall injury in Australia residential aged care: a cohort analysis.","authors":"Charles Okafor, Namal N Balasooriya, Amy T Page, Anne-Marie Hill, Christopher D Etherton-Beer, Tracy Comans","doi":"10.1136/ip-2024-045516","DOIUrl":"https://doi.org/10.1136/ip-2024-045516","url":null,"abstract":"<p><strong>Background: </strong>Given that fall injury is a critical public health concern in Australia, understanding the economic implications of falls among older adults is crucial to allocating healthcare resources efficiently to reduce falls and improve quality of life. This study therefore aimed to estimate the cost and identify factors associated with fall-related injuries within residential aged care (RAC).</p><p><strong>Methods: </strong>A cohort analysis from the healthcare system perspective based on data from a double-blinded randomised controlled trial-the Opti-Med trial. The trial participants were 303 people aged ≥65 years. Identification of in-scope data from the trial dataset was achieved using the falls description note and the National Hospital Cost Data Collection diagnostic related group classification system. Data analyses were performed using STATA V.17. All costs were adjusted to 2022 Australian dollars.</p><p><strong>Results: </strong>On average, the cost of an injurious fall per incident was $2494 (SD=$6199), while the average cost of falls per resident annum was $1798 (SD=$6002). The potential cost of injurious falls per annum in Australia's RAC system was $325 million. Sex and body mass index (BMI) were identified factors associated with fall injury. There was an inverted U-shaped relationship between BMI and falls risk in RAC.</p><p><strong>Conclusions: </strong>The healthcare spending on fall injury per resident annum in RAC represents 20% of the 2021-2022 healthcare expenditure per capita. The high cost and inverted U-shaped relationship between BMI and falls risk underscores the need for more effective and RAC-tailored falls prevention strategies in this setting.</p><p><strong>Trial registration numbers: </strong>Australian New Zealand Clinical Trial Registry (ACTRN12613001204730); WHO Universal Trial (U1111-1148-6094).</p>","PeriodicalId":13682,"journal":{"name":"Injury Prevention","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142970551","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}
Edwin Akomaning, Samuel Prince Osei, Akshaya Srikanth Bhagavathula
{"title":"Alcohol-related injuries from e-scooter and e-bike use in the US (2019-2022): a retrospective study.","authors":"Edwin Akomaning, Samuel Prince Osei, Akshaya Srikanth Bhagavathula","doi":"10.1136/ip-2024-045461","DOIUrl":"10.1136/ip-2024-045461","url":null,"abstract":"<p><strong>Background: </strong>The use of electric-powered scooters and bikes (e-scooters/bikes) is rising, but little is known about associated injuries and substance use. This study analysed the trends and factors associated with e-scooter/bike-related injuries and alcohol/substance use emergency department (ED) visits from 2019 to 2022.</p><p><strong>Methods: </strong>A retrospective analysis of US ED visit data from the 2019-2022 National Electronic Injury Surveillance System (NEISS) identified visits for e-scooter/bike-related injuries. NEISS data were collected using stratified, multistage sampling, and the analysis accounted for this complex sampling design. Outcomes included yearly visits, patient demographics, injury details and alcohol/substance use associations. Multivariable logistic regression analysed factors associated with e-bike/scooter-related injury ED visits and alcohol/substance use.</p><p><strong>Results: </strong>Of 4020 e-scooter/bike injury ED visits, 3700 (weighted estimate 279 990) were e-scooters and 320 (weighted estimate 16 600) were e-bikes. Visits increased three-fold from 2019 (n=22 835) to 2022 (n=65 892). Most of the injuries involved males, with 79.6% of e-scooter injuries and 79.7% of e-bike injuries), aged 18-39 years (51.5% e-scooter, 48.5% e-bike) and non-Hispanic White (34.9% e-scooter, 38.8% e-bike). Alcohol use was reported in 8.6% of e-scooters and 2.5% of e-bike injury-related ED visits. Males had 2.6 times higher odds of alcohol use (OR: 2.61, 95% CI: 1.84 to 3.69) and 2.2 times higher odds of substance use (OR: 2.23, 95% CI: 1.19 to 4.16) associated ED visits, compared with females. Compared with the 18-39-year age group, those aged 10-17 years had 7.5 and 4.1 times higher odds of alcohol and substance use leading to e-scooter and e-bike injury-related ED visits, respectively.</p><p><strong>Conclusions: </strong>E-scooter injuries are increasing rapidly, especially among younger males, with a three-fold increase from 2019 to 2022. Alcohol and substance use both contribute significantly to morbidity. Strengthening policy and prevention approaches like the use of helmets are warranted to improve e-scooter/bike safety.</p>","PeriodicalId":13682,"journal":{"name":"Injury Prevention","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142800663","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}
Catherine Tomko, Ju Nyeong Park, Masoumeh Amin-Esmaeili, Kristin Schneider, Ryoko Susukida, Himani Byregowda, Taylor Parnham, Renee M Johnson
{"title":"Combinations of substances contributing to death among overdose decedents in Maryland (2020-2021).","authors":"Catherine Tomko, Ju Nyeong Park, Masoumeh Amin-Esmaeili, Kristin Schneider, Ryoko Susukida, Himani Byregowda, Taylor Parnham, Renee M Johnson","doi":"10.1136/ip-2024-045277","DOIUrl":"10.1136/ip-2024-045277","url":null,"abstract":"<p><strong>Background: </strong>In 2020, Maryland had the fourth-highest opioid overdose mortality rate in the USA. We describe substances identified in postmortem toxicology screening and designated as cause of death (COD) for overdose decedents in Maryland, including specific combinations of substances designated as COD.</p><p><strong>Methods: </strong>We performed a retrospective analysis of N=5442 adult overdose decedents (ie, manner of death unintentional or undetermined) in Maryland between January 2020 and December 2021. Overdose mortality data from the State Unintentional Drug Overdose Reporting System. Substances were categorised into five major categories: opioids, alcohol, psychostimulants, sedative-hypnotics and psychotropic drugs. Opioids were further divided into prescription opioids (eg, oxycodone, methadone, tramadol) and illicit opioids (eg, illicitly manufactured fentanyl (IMF), heroin).</p><p><strong>Results: </strong>Opioids were present in 93% of cases and designated as COD for 92%. IMF was the predominant opioid designated as COD (82% of cases), whereas heroin was COD in only 3%. Psychostimulants, predominantly cocaine, were present in 48% of cases and designated as COD in 41%. Opioids alone were COD in 39% of cases, opioids and psychostimulants in combination were COD for 27%, followed by opioids and alcohol (9%), opioids, alcohol and psychostimulants (6%), and opioids and sedative-hypnotics (4%).</p><p><strong>Conclusions: </strong>IMF is, by far, the leading cause of overdose in Maryland. For more than one-quarter of decedents, opioids and psychostimulants in combination were COD. Specific drug combinations have implications for public health surveillance and harm reduction efforts to keep people who use drugs safer from a volatile drug market and potential fatal overdose.</p>","PeriodicalId":13682,"journal":{"name":"Injury Prevention","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12246168/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142970597","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}
Rebecca Vearing, Justin Scarr, Ana Catarina Queiroga, Jagnoor Jagnoor
{"title":"Gaps in the evidence for interventions in global drowning research.","authors":"Rebecca Vearing, Justin Scarr, Ana Catarina Queiroga, Jagnoor Jagnoor","doi":"10.1136/ip-2023-045215","DOIUrl":"https://doi.org/10.1136/ip-2023-045215","url":null,"abstract":"<p><strong>Background: </strong>Since 2014, drowning has received increased political attention. Translating this political commitment to saving lives needs policy-supported evidence-informed interventions. An evidence gap map (EGM) was developed, which aims to facilitate the strategic prioritisation of future research and efficient commissioning of interventions.</p><p><strong>Methods: </strong>Available evidence was sought by searching four electronic databases using drowning key terms from 2005 to 2023. Peer-reviewed studies, which measured the outcome of a drowning prevention intervention, were included in the EGM. Classification of interventions was guided by the WHO's recommendations for drowning prevention interventions and strategies. Intervention outcomes were classified into health, social, economic, policy and other supporting outcomes.</p><p><strong>Results: </strong>49 intervention studies were identified. Of these, 25 studies were conducted in high-income countries (HICs), 19 in low- and middle-income countries (LMICs), 3 in both HICs and LMICs and 2 were not country specific. Interventions, which used community education, were the most common (n=29, 27%), followed by teaching school-age children swimming and water safety skills (n=13, 12%) and others combined (n=66, 61%). Majority of interventions focused on process outcomes such as knowledge acquisition (n=42, 39%) in comparison with objective outcomes such as incidence of drowning mortality (n=21, 19%). No studies reported on interventions that manage flood risks.</p><p><strong>Conclusions: </strong>Knowledge gaps of effective drowning prevention interventions were identified using an EGM, emphasising the need for methodological advancements reporting on outcomes measures, implementation research and targeted research among high-risk populations in LMICs.</p>","PeriodicalId":13682,"journal":{"name":"Injury Prevention","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142948368","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}
Colleen Bloeser, Jacklyn Maye Engelbart, Patrick Ten Eyck, James C Torner, Colette Galet, Dionne A Skeete
{"title":"Growing problem: frailty in midlife adult trauma patients in the USA.","authors":"Colleen Bloeser, Jacklyn Maye Engelbart, Patrick Ten Eyck, James C Torner, Colette Galet, Dionne A Skeete","doi":"10.1136/ip-2024-045436","DOIUrl":"https://doi.org/10.1136/ip-2024-045436","url":null,"abstract":"<p><strong>Background: </strong>Unintentional falls are the greatest cause of injury-related hospitalisation in adult patients. Frailty is an important contributor to fall risk and poor outcomes in both midlife and older adult trauma patients. Despite this, the incidence of frailty remains understudied among midlife adults, and the CDC fall screening guidelines are limited to older adults. Here, we assessed the incidence of frailty among midlife and older trauma patients in the USA.</p><p><strong>Methods: </strong>This was a retrospective study using the Trauma Quality Improvement Program database in midlife (aged 50-64 years) and older adult (aged 65 years and older) trauma patients from 2012 to 2021. Frailty was assessed using the five-item Modified Frailty Index. The adjusted change of frailty incidence over the study period was evaluated via Poisson regression.</p><p><strong>Results: </strong>Frailty incidence in midlife trauma patients rose from 2.4% in 2012 to 5.1% in 2021. The adjusted annual incidence rate ratio (IRR) for midlife frailty was 1.08 (95% CI 1.08, 1.09). Among older adult patients, frailty incidence rose from 6.4% to 14.7%, with an adjusted annual frailty IRR of 1.10 (95% CI 1.10, 1.10).</p><p><strong>Conclusion: </strong>Frailty is rising in both the midlife and older adult populations, indicating that these groups present increasing risk for unintentional falls and further morbidity and mortality. This underscores the necessity of fall screening in both midlife and older adult patients alongside further explorations into methods to delay the onset of frailty.</p>","PeriodicalId":13682,"journal":{"name":"Injury Prevention","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142948369","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}
Felipe Soares Oliveira Portela, Andressa Cristina Sposato Louzada, Marcelo Fiorelli Alexandrino da Silva, Maria Fernanda Cassino Portugal, Fernando Ayroza Galvão, Marcelo Passos Teivelis, Edson Amaro Junior, Nelson Wolosker
{"title":"Analysis of 19 439 lower limb amputations in children in Brazilian health system over 14 years.","authors":"Felipe Soares Oliveira Portela, Andressa Cristina Sposato Louzada, Marcelo Fiorelli Alexandrino da Silva, Maria Fernanda Cassino Portugal, Fernando Ayroza Galvão, Marcelo Passos Teivelis, Edson Amaro Junior, Nelson Wolosker","doi":"10.1136/ip-2024-045472","DOIUrl":"https://doi.org/10.1136/ip-2024-045472","url":null,"abstract":"<p><strong>Background: </strong>Amputations in children represent significant events. Few studies analyse amputations in this specific population, and most of them are old, regionalised and with small sample sizes. Besides, there are no large studies in low-income and middle-income countries. This study aims to analyse a large sample of amputations (19 439 procedures performed in the Brazilian public health system) in children aged 0-14 over 14 years.</p><p><strong>Methods: </strong>Retrospective cross-sectional population-based analysis of all lower limb amputations performed in the Brazilian public health system between 2008 and 2021 in children up to 14. Using a public database, all types of amputations were selected, defining the number of procedures, their main aetiologies, trends over the years, patient demographics and regional distribution.</p><p><strong>Results: </strong>19 439 lower limb amputations were performed in the Brazilian public health system between 2008 and 2021, mainly at the toe level (85%). Amputations occurred predominantly in males (64%) and children aged 0-4 (47%). The global trend is a non-significant decrease in the total number of amputations over the period (p=0.427), but we observe a significant decrease (p<0.001) in amputations in older children (aged 10-14). Amputations are more concentrated in the most populated regions, while the highest mortality is found in the least densely populated areas. Trauma is the main aetiology associated with lower limb amputations in Brazilian children (60%).</p><p><strong>Conclusion: </strong>The epidemiology of amputations in Brazil differs from the rest of the world. Trauma is the main aetiology.</p>","PeriodicalId":13682,"journal":{"name":"Injury Prevention","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142948367","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}
Lindsey L Monteith, Julie A Kittel, Evan R Polzer, Ryan Holliday, Joseph A Simonetti, Claire A Hoffmire
{"title":"Suicide by suffocation among Asian American, Native Hawaiian and Pacific Islander Veterans in the USA (2012-2018).","authors":"Lindsey L Monteith, Julie A Kittel, Evan R Polzer, Ryan Holliday, Joseph A Simonetti, Claire A Hoffmire","doi":"10.1136/ip-2024-045425","DOIUrl":"https://doi.org/10.1136/ip-2024-045425","url":null,"abstract":"<p><strong>Background: </strong>Suicide rates have increased substantially among Asian American, Native Hawaiian and Pacific Islander (AANHPI) Veterans who are more likely to use suffocation as a suicide method than Veterans overall. This study examined demographic, healthcare and injury characteristics of AANHPI Veterans who died by suicide through suffocation and examined the contexts of these deaths. Analyses further examined if there were differences between AANHPI and non-AANHPI Veterans who died by suffocation suicide.</p><p><strong>Methods: </strong>This mixed methods analysis used National Violent Death Reporting System (NVDRS) data from AANHPI (n=44) and non-AANHPI (n=3090) Veterans who died by suicide through suffocation (2012-2018).</p><p><strong>Results: </strong>Hanging comprised nearly all suffocation deaths, although ligature types varied extensively. Residence was the most common location of injury and death, with basements a more common location of death within the home among AANHPI Veterans, relative to a matched, non-AANHPI Veteran sample. There was a significantly higher proportion of females among AANHPI decedents. Additionally, AANHPI decedents were significantly less likely to have emergency medical services present, relative to non-AANHPI decedents. The majority of AANHPI decedents were discovered by family or an intimate partner.</p><p><strong>Conclusions: </strong>Addressing ligature suicide among AANHPI Veterans is necessary to ensure an equitable suicide prevention approach. Lethal means safety initiatives and postvention strategies that consider salient contextual factors (eg, location of death, discovery by loved ones) are warranted for this population. Considering the ubiquity of ligatures and ligature points, upstream suicide prevention approaches that address drivers of suicide risk are particularly important for preventing suicide among AANHPI Veterans.</p>","PeriodicalId":13682,"journal":{"name":"Injury Prevention","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142927014","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}