Analyzing the Burden of Midface Fractures Due to Road Traffic Accidents in Vietnam: An Epidemiological Approach.

BACKGROUND: Road traffic accidents have significantly impacted public health in Vietnam. This study investigated the patterns of midface fractures in Vietnam and their correlation with road traffic accidents in the country. METHODOLOGY: This retrospective cross-sectional study reviewed 2187 medical records of patients with midface fractures in Ho Chi Minh City. After applying exclusion criteria, the fractures were categorized. Statistical analyses, including chi-squared and logistic regression, were conducted to identify associations and relationships among the types and causes of fractures. RESULTS: The study found that 89.3% of midface fractures stemmed from road traffic accidents, with 55.2% and 14.4% zygomatic complex fractures and Le Fort type II fractures, respectively. Adults aged 19-39 accounted for 65.1% of patients, with males at 80.5%. Traffic accidents were significantly associated with an 18.7 times higher risk of concomitant mandibular fractures and a 10.5 times higher risk of Le Fort type II fractures, irrespective of age and gender. CONCLUSION: This study underscores the need for targeted prevention strategies to decrease the incidence of maxillofacial injuries resulting from road traffic accidents in Vietnam, particularly among high-risk groups such as males and young adults.

Longitudinal relationship between posttraumatic cognitions and internalising symptoms in children and adolescents.

Background: Little is known about the naturalistic course of posttraumatic cognitions (PTCs) after exposure to a potentially traumatic event (PTE) in children and adolescents. Moreover, previous studies on the longitudinal associations of PTCs with internalising symptoms yielded mixed results.Objective: To explore the naturalistic courses and longitudinal associations of dysfunctional PTCs and functional PTCs with posttraumatic stress symptoms (PTSS), depression, and anxiety.Method: A total of 115 children and adolescents, aged 7-15 years, were assessed within 1 month, 3 months, and 6 months after exposure to an acute accidental PTE. Repeated measures analyses of variance were conducted to capture the naturalistic courses of PTCs and internalising symptoms. Cross-lagged panel analyses were applied to explore the longitudinal relationship between dysfunctional and functional PTCs, along with their longitudinal associations with PTSS, depression, and anxiety.Results: Dysfunctional PTCs and internalising symptoms decreased, whereas functional PTCs increased over time. Dysfunctional and functional PTCs were moderately inversely related, but no significant cross-lagged paths emerged among them. Dysfunctional PTCs were moderately to strongly associated with internalising symptoms, while functional PTCs were weakly to moderately inversely associated with internalising symptoms. Initial PTSS predicted later dysfunctional PTCs (ß = .31, p < .05), but not vice versa.Conclusions: Dysfunctional PTCs, functional PTCs, and internalising symptoms were entangled over time. Our findings support the cognitive scar model with initial PTSS predicting later dysfunctional PTCs. Future research complementing between-subject with within-subject analyses could offer additional insights into the longitudinal relationship between dysfunctional PTCs, functional PTCs, and psychological symptoms.

Dysfunctional posttraumatic cognitions and internalising symptoms naturally decreased, whereas functional posttraumatic cognitions naturally increased over a 6-month period following exposure to an acute accidental potentially traumatic event.Above the significant longitudinal associations of dysfunctional posttraumatic cognitions with internalising symptoms, functional posttraumatic cognitions were significantly inversely related to internalising symptoms over time.Posttraumatic stress symptoms assessed within 1 month after the potentially traumatic event predicted dysfunctional posttraumatic cognitions assessed 3 months after the potentially traumatic event, but not vice versa.

Road traffic accidents involvement among commercial taxi drivers in Nigeria: Structural equation modelling approach.

Taxis are essential to economic growth due to the ease and comfort they offer passengers. This is evident as most cities, especially in Africa, are dominated by taxis providing door-to-door services. However, their susceptibility to road traffic accidents (RTA) raises serious concerns due to their risky driving behaviours. In contrast, studies on taxi driver involvement in RTA due to their risky driving behaviours are sparse, especially in African countries. Consequently, the study examined the relationship between risky driving behaviour and traffic accident involvement among Nigerian commercial taxi drivers using the structural equation modeling (SEM) approach. Prior to the structural model analysis, the modified driver behaviour questionnaire (DBQ) was valid. This was assessed through the measurement model, and the results showed that the composite reliability, average variance extracted, and discriminant validity were greater than 0.7, greater than 0.5, and less than 0.90, respectively. Furthermore, the structural equation modeling results show that the driving violation and driving error constructs influenced road traffic accidents among taxi drivers, while inattention error was insignificant (p > 0.05). Although driving violations and errors significantly increase the chances of RTA among taxi drivers, driving violations had a more substantial influence than driving errors. Also, the regression coefficient indicates the risky driving behaviour of commercial taxi drivers accounts for 5.2 % of the RTAs in Nigeria. This research contributed to validating the DBQ for commercial taxi drivers in Nigeria, examining the influence of their driving violations, driving errors, and inattention errors on accident involvement and that inattention error may not necessarily influence accidents, which will aid policymakers in formulating mitigative strategies for RTA reductions. Moreso, it will guide driver trainers in curriculum development for specific commercial taxi driver training.

Road Fatalities in Children Aged 0-17: Epidemiological Data and Forensic Aspects on a Series of Cases in a Single-Centre in Romania.

INTRODUCTION: Road Traffic Accidents (RTAs) are the leading cause of premature death in young people aged 5-29. Globally, 186,300 children aged 9 years and under die from RTAs each year. Romania had the highest mortality rate in children aged 0 to 14 for 2018-2020. This study aimed to assess the involvement of children aged 0-17 years in fatal RTAs by analyzing medico-legal autopsy records in a 5-year period at Timisoara Institute of Legal Medicine (TILM), Romania. MATERIALS AND METHODS: A retrospective analysis of medico-legal autopsy records of road fatalities in children aged 0-17 years, from TILM in a 5-year period (2017-2021), was conducted. RESULTS: Of all medico-legal autopsies in the 5-year period, 23 cases (5.8%) involved road fatalities in children aged 17 and under. Preschoolers accounted for 10 cases, followed by the age group 15-17 years (n = 9). Most children sustained fatal injuries as passengers (n = 13), followed by child pedestrians (n = 7). This research follows four representative cases, each being a different type of child road fatality regarding the type of road user, the age of the victim, and the involvement of other risk factors. CONCLUSIONS: Our findings emphasize the tragedy of road fatalities in children and the need to determine risk factors and prevention strategies to reduce the enormous global crisis involving these vulnerable victims.

Mild Traumatic Brain Injury by the Glasgow Coma Scale Score and Early CT-Brain Findings in Acute Alcohol Intoxication Patients: A Prospective Observational Study.

Introduction Traumatic brain injuries (TBI) in recent years have proved to be a significant public health problem, with potentially life-changing consequences for the individual and their family. Alcohol consumption is a regular, well-documented problem among persons sustaining TBI due to road traffic accidents and accidental falls. The primary objective of this study was to find out the correlation between the Glasgow Coma Scale (GCS) score and CT brain findings among mild TBI patients under acute alcohol intoxication and determine if early CT-brain is indicated in this group. Methods A prospective observational study was conducted involving 111 alcohol-intoxicated patients with mild head injuries admitted to the surgical wards of Thanjavur Medical College Hospital over a period of three months. The Glasgow Coma Scale was used to assess the patient's neurological status and determine the severity of the brain injury. A semi-structured CT-brain findings chart and a severity of alcohol intoxication objective-based scoring system were developed and validated by experts. Descriptive statistics tools such as frequency, percentage, and mean were used, along with inferential statistics tools like the Chi-squared test, Fisher exact test, and Pearson's correlation coefficient test. Results The study findings showed that the comparison of GCS with early CT-brain was significant at a p-value of 0.012, and a negative correlation (r=-0.253) was found between GCS and CT-brain findings. A comparison of CT-brain findings with the severity of alcohol intoxication was non-significant at a p-value of 0.433. Conclusions Early CT-brain in intoxicated mild TBI patients may have a positive impact on early diagnosis and management, even in centers with limited resources catering to low-income population groups. The results of our short-term study show that early CT-Brain picks up lesions and helps initiate early management while it is up to the attending physician to keep in mind an adverse cost-benefit ratio in overuse of hospital resources and misdiagnosis leading to undertreatment causing long-term sequelae and morbidity before prescribing early CT-brain in this cohort of patients.

Outcome and Management of Occipitofrontal Contrecoup Head Injury.

Contrecoup brain injury refers to the classical opposite of the primary impact. Tamil Nadu has the highest rate of road traffic accident in India. Madurai has peak mortality due to accidents in India. Previous studies done on contrecoup head injury had shown patterns of injuries and mechanism of injury. Outcome and management of only occipitofrontal contrecoup head injury has been taken in this study. Mortality in this specific group is very high. Seventy-six patients of this specific head injury were admitted at Government Rajaji Hospital, Madurai. Patients were assessed for Glasgow coma scale (GCS), age, sex, progression of volume, mortality, traumatic brain injury-induced coagulopathy, and pillion rider outcome. Fourteen patients were surgically treated by decompressive craniectomy. Conservative management was done by antiepileptic and antiedema measures. Mostly affected were males ( n = 54) followed by females ( n = 22). GCS on admission mean value 9. In our study, mortality was 32% with sudden death of three patients due to hypothalamic compression. Hospital stay of the patient was significantly increased with progression of lesion with mean 9 days and p -value less than 0.01. Pillion riders ( n = 18) were also affected in our study. Traumatic brain injury-induced coagulopathy ( n = 12) was also detected, which was treated by injection tranexamic acid and injection vitamin K, thereby not leading to any death due to coagulopathy with significant p -value less than 0.01. We recommend helmet for both main and pillion rider with strict speeding regulations.

Multiple Logistic Regression Model for Assessing the Risk Factors of Traffic Accidents: Khon Kaen Model.

BACKGROUND: Thailand has consistently held the highest global ranking in traffic accidents since 2017, with Khon Kaen displaying the highest mortality rate in the Department of Disease Control Region 7. OBJECTIVES: This study aims to utilize Injury Surveillance (IS) data to identify risk factors associated with emergency room (ER) outcomes at the Emergency Department of Khon Kaen hospital in Khon Kaen Municipality. METHODS: Data from the Injury Surveillance system's (IS system) database were collected, focusing on severity outcomes, time of events, and risk behaviors from January 1, 2008, to December 31, 2021. Data analysis was conducted using the R program, employing the Chi-square or independent T test to compare results and analyze associations between potential risk factors and ER outcomes. Multiple logistic regression (MLR) was used for classification analysis, and a confusion matrix was applied to evaluate the performance of the models. RESULTS: MLR analysis revealed that being male, age, alcohol consumption, and nighttime driving were more likely to increase the probability of severity outcomes. CONCLUSION: Being male, age, alcohol consumption, and nighttime driving are identified as potential risk factors contributing to the development of severity outcomes following traffic accidents.

Magnitude and outcome of road traffic accidents among patients admitted in dessie town governmental hospitals, Northeast Amhara, Ethiopia, 2022.

BACKGROUND: Road traffic accidents(RTA) are a major public health problem worldwide, accounting for almost 1.24 million deaths per year and it is the number one cause of death among those aged group 15-29 years. Even though there are great benefits from access to road transportation there also poses a great challenge in the individual's daily activities ranging from minor injury to death. OBJECTIVE: This study aimed to assess the magnitude and outcome of road traffic accidents among patients admitted in Dessie Town Governmental Hospitals, Northeast Amhara, Ethiopia, 2022. METHODS: A five-year hospital-based retrospective descriptive cross-sectional study design was conducted among 377 road traffic accident patients admitted to Dessie Town Governmental hospitals. Data were collected by simple random methods based on patient chart reviews from June 7/, 2022 to May 23/ 2017 using a checklist adapted from the WHO standard hospital-based road traffic accident questionnaires after obtaining consent from the concerned authority. EPI-Data software version 7.2 for data entry and SPSS version 25 for statistical analysis were used. Descriptive and inferential statistics were used. Statistical significance was declared at a p-value of < 0.05 with an adjusted odds ratio (AOR) and a 95% confidence interval (CI) in the final multinomial logistic regression model. RESULTS: The magnitude of road traffic accidents was 59%, using of logistic multi nominal logistic regression we found results such that, road traffic victims who had unstable vital signs at admission (AOR = 6.4,95% CI; 2.5-16.6), didn't get prehospital treatment (AOR = 9.3,95% CI; 4-20), and severe injury (AOR = 9, 95% CI;7-15.4), had a Glasgow coma scale of 3-5 (AOR = 5.2,95% CI; 1.4-20) were found predictors for death were as unstable vital signs at admission (AOR = 3.79,95%CI;2.1-6.8), Doesn't get prehospital treatment (AOR = 2.8, 95% CI; 1.4-5.7), Hospital stay for one to two months duration (AOR = 6,95% CI;2.3-15), and greater than two months duration (AOR = 6.5,95%CI;2.5-17) were found predictors for disability among road traffic victims. CONCLUSIONS AND RECOMMENDATIONS: Road traffic accidents constitute a major public health problem in our setting and contribute significantly to excessively high morbidity and mortality. Unstable vital signs at admission, Client doesn't get prehospital treatment, severely injured client, and had a Glasgow coma scale of 3-5 were found predictors for death were as an unstable vital sign at admission, Client doesn't get pre-hospital treatment, Hospital stays for one to two months duration, and greater than two months duration were found predictors for disability among road traffic victims.

Identifying interactions among factors related to death occurred at the scene of traffic accidents: Application of "logic regression" method.

Aim: Traffic accidents are caused by several interacting risk factors. This study aimed to investigate the interactions among risk factors associated with death at the accident scene (DATAS) as an indicator of the crash severity, for pedestrians, passengers, and drivers by adopting "Logic Regression" as a novel approach in the traffic field. Method: A case-control study was designed based on the police data from the Road Traffic Injury Registry in northwest of Iran during 2014-2016. For each of the pedestrians, passengers, and drivers' datasets, logic regression with "logit" link function was fitted and interactions were identified using Annealing algorithm. Model selection was performed using the cross-validation and the null model randomization procedure. Results: regarding pedestrians, "The occurrence of the accident outside a city in a situation where there was insufficient light" (OR = 6.87, P-value<0.001) and "the age over 65 years" (OR = 2.97, P-value<0.001) increased the chance of DATAS. "Accidents happening in residential inner-city areas with a light vehicle, and presence of the pedestrians in the safe zone or on the non-separate two-way road" combination lowered the chance of DATAS (OR = 0.14, P-value<0.001). For passengers, "Accidents happening in outside the city or overturn of the vehicle" combination (OR = 8.55, P-value<0.001), and "accidents happening on defective roads" (OR = 2.18, P-value<0.001) increased the odds of DATAS; When "driver was not injured or the vehicle was two-wheeled", chance of DATAS decreased for passengers (OR = 0.25, p-value<0.001). The odds of DATAS were higher for "drivers who had a head-on accident, or drove a two-wheeler vehicle, or overturned the vehicle" (OR = 4.03, P-value<0.001). "Accident on the roads other than runway or the absence of a multi-car accident or an accident in a non-residential area" (OR = 6.04, P-value<0.001), as well "the accident which occurred outside the city or on defective roads, and the drivers were male" had a higher risk of DATAS for drivers (OR = 5.40, P-value<0.001). Conclusion: By focusing on identifying interaction effects among risk factors associated with DATAS through logic regression, this study contributes to the understanding of the complex nature of traffic accidents and the potential for reducing their occurrence rate or severity. According to the results, the simultaneous presence of some risk factors such as the quality of roads, skill of drivers, physical ability of pedestrians, and compliance with traffic rules play an important role in the severity of the accident. The revealed interactions have practical significance and can play a significant role in the problem-solving process and facilitate breaking the chain of combinations among the risk factors. Therefore, practical suggestions of this study are to control at least one of the risk factors present in each of the identified combinations in order to break the combination to reduce the severity of accidents. This may have, in turn, help the policy-makers, road users, and healthcare professionals to promote road safety through prioritizing interventions focusing on effect size of simultaneous coexistence of crash severity determinants and not just the main effects of single risk factors or their simple two-way interactions.

Presenteeism and Traffic Accident Among Taxi Drivers: A Prospective Cohort Study in Japan.

Background: Traffic accidents involving professional drivers have serious societal repercussions. Unique occupational stressors and health risks exacerbate the likelihood of traffic accidents among professional drivers. This study explores the association between presenteeism-impaired work performance due to working while unwell-and traffic accident risk among professional taxi drivers in Japan. Methods: A prospective cohort study was conducted from June 2022 to February 2023, involving taxi drivers from a single company in Fukuoka Prefecture, Japan. Presenteeism was assessed using the Work Functioning Impairment Scale (WFun). Primary outcome involved the number of self-reported minor traffic accidents. The incidence rate ratio (IRR) of minor traffic accident occurrences was estimated using a Poisson regression analysis, adjusted for confounders including sex, age, and driving experience. Results: Of 838 targeted drivers, 435 were included in the analysis. Higher baseline work functioning impairment was associated with a significant trend of increasing IRR of minor traffic accidents (p for trend = 0.045). A dose-response relationship was seen between the degree of presenteeism and incidence rate of minor traffic accidents. Conclusion: Higher levels of presenteeism were associated with an increased risk of traffic accidents among taxi drivers. The findings underscore the need for socio-economic support and prioritized health management to mitigate traffic accident risk among professional drivers. This study highlights the importance of managing non-critical health issues alongside serious health conditions for safer driving practices among professional drivers in Japan.

Trends in traffic accident mortality and social inequalities in Ecuador from 2011 to 2022.

BACKGROUND: Traffic accidents (TA) remain a significant global public health concern, impacting low-and middle-income countries. This study aimed to describe the trend in TA mortality and inequalities in Ecuador for 2011-2022, distributed by year, gender, age group, geographical location, type of accident, and social inequalities. METHODS: An ecological study was conducted using INEC national-level data on TA fatalities in Ecuador. Mortality rates were calculated per 100,000 population and analyzed by year, gender, age group, geographic region, and accident type. Annual percentage variation (APV) was determined using linear regression models. Inequality analyses examined associations between TA mortality and socioeconomic factors like per capita income and literacy rates. Complex measures such as the Slope Inequality Index (SII) were calculated to assess the magnitude of inequalities. RESULTS: There were 38,355 TA fatalities in Ecuador from 2011 to 2022, with an overall mortality rate of 19.4 per 100,000 inhabitants. The rate showed a non-significant decreasing trend (APV - 0.4%, p = 0.280). Males had significantly higher mortality rates than females (31.99 vs. 7.19 per 100,000), with the gender gap widening over time (APV 0.85%, p = 0.003). The Amazon region had the highest rate (24.4 per 100,000), followed by the Coast (20.4 per 100,000). Adults aged ≥ 60 years had the highest mortality (31.0 per 100,000), followed by those aged 25-40 years (28.6 per 100,000). The ≥ 60 age group showed the most significant rate decrease over time (APV - 2.25%, p < 0.001). Pedestrians were the most affected group after excluding unspecified accidents, with a notable decreasing trend (APV - 5.68%, p < 0.001). Motorcyclist fatalities showed an increasing trend, ranking third in TA-related deaths. Lower literacy rates and per capita income were associated with higher TA mortality risks. Inequality in TA mortality between provinces with the highest and lowest per capita income increased by 247.7% from 2011 to 2019, as measured by the SII. CONCLUSION: While overall TA mortality slightly decreased in Ecuador, significant disparities persist across demographic groups and geographic regions. Older adults, males, pedestrians, and economically disadvantaged populations face disproportionately higher risks. The increasing trend in motorcycle-related fatalities and widening socioeconomic inequalities are particularly concerning.

Road traffic accidents and the contributing factors among drivers of public transportation in Mizan Aman town, Ethiopia: a Community-Based Cross-Sectional Study.

Background: Traffic accidents on the road is an accident is a terrible accident that causes death, injury, and property damage. However, limited studies were addressed to investigate the prevalence of traffic accidents on the road and the contributing factors among drivers that help in developing strategies to cop-up the incidence within the research domain in Ethiopia, particularly in the study area. Objective: This study aimed to assess the prevalence of road traffic accidents and the contributing factors among drivers of public transportation in Mizan Aman town, Ethiopia. Methods: A community-based cross-sectional survey was employed among 376 drivers of public transportation. Every research subject was selected by using a simple random sampling technique. Semi-structured and open-ended questionnaires which comprised demographic characteristics, risky personal behaviors and lifestyles, driver's factors, vehicle condition, and environmental conditions were used to gather data. And then after, data was collected through interviewer-administered using KoBo Collect tools. Completed data were edited and cleaned in the Kobo collect toolbox and then exported for additional analysis to a statistical tool for social science statistics version 26. The descriptive statistics were displayed as figures, tables, and texts. Binary logistic regression was analyzed to identify the contributing factors. Statistically significant was decided with a p-value of ≤ 0.05. Results: The results showed that the prevalence of road traffic accidents among drivers of public transportation in Mizan Aman town was 17%. The study identified factors influencing traffic accidents on the roads including marital status (being single), employee condition (permanent), monthly income (1001-2500 Ethiopia Birr), alcohol use, vehicle maintenance (not), road type (non-asphalt), and weather conditions (being windy). Conclusion: The overall prevalence of road traffic accidents among drivers of public transportation in Mizan Aman town was relatively low. Despite this, sociodemographic characteristics, driver factors, vehicle conditions, and environmental conditions [road type and weather conditions] were the predicting factors of traffic accidents in town. Therefore, reduction strategies should be the highest priority duty for concerned bodies like Mizan Aman town road and transport office, Bench Sheko zone transport and logistics office, and Southwest Ethiopia People Regional State (SWEPRS) transport bureau in the study area.

Quality of Life and Socioeconomic Status in Northwest of Iran: First Wave of the Persian Traffic Cohort Study.

This study aimed to evaluate the association between Quality of Life (QOL) and independent factors, emphasizing Socio Economic Status (SES) in northwestern Iran. A population-based cross-sectional study was performed within the Persian Traffic safety and health Cohort in 2020. Participants were chosen using stratified random sampling method. The majority of participants (69%) were aged between 30 and 65. Around half of the participants were males (54.44%). Most of the female respondents were categorized as very low and medium levels of SES Based on multiple linear regression analysis, the QOL among females was lower compared to males (ß: - 0.92, 95% CI - 1.82 to - 0.22). There was a negative association between SES and QOL; individuals with low and very low levels of SES had a lower QOL than those with a medium level of SES (ß: - 4.38, 95% CI - 5.9 to - 2.86) (ß: - 2.65, 95% CI - 4.08 to - 1.22). The current study highlights that higher SES and educational levels are positively associated with higher QOL. Conversely, older age, females, and widowed individuals are linked with lower QOL.

Drink and drive? Understanding the dynamics of youth risk-taking.

We exploit a reduction in the minimum legal drinking age (MLDA) in New Zealand from 20 to 18 to study the dynamics of youth risk-taking. Using the universe of road accidents over 15 years and an event history approach, we find no evidence that lowering the drinking age increased alcohol-related accidents among teens. Complementary results of a cohort analysis suggest that reducing the drinking age even led to a short-term decline in risky driving among youths directly affected by the MLDA change but had no longer-run impacts on youth risky driving and drinking behaviors.

Comparison of Traumatic Spinal Fracture Patterns Between Motorcyclists and Occupants of Other Nonheavy Motor Vehicles: A Report from the National Spinal Cord and Column Injury Registry of Iran.

OBJECTIVE: To compare traumatic spinal injury patterns between motorcyclists and occupants of other nonheavy motor vehicles using data from the National Spinal Cord and Column Injury Registry of Iran. METHODS: All drivers/riders and passengers of motorcycles, cars, pick-up trucks, and vans registered between January 2017 to July 2023, met the inclusion criteria for the present study. The logistic regression models were used to compare the patterns of vertebral fracture between the 2 groups. RESULTS: One thousand seven hundred twenty-six spinal fracture patients were identified, 385 (22.3%) motorcyclists and 1341 (77.7%) car occupants with mean ages 33.2 ± 14.3 and 36.1 ± 13.6 years, respectively (P < 0.001). Only 45 (11.7%) motorcyclists used helmets, whereas 856 (63.8%) car occupants used seat belts (P < 0.001). The average numbers of fractured vertebrae were 3.9 ± 1.4 and 3.7 ± 1.1 among car occupants and motorcyclists, respectively (P = 0.004). The proportions of motorcyclists and car occupants with injuries in each spinal region are as follows: lumbar (50.5% of motorcyclists vs. 40.4% of car occupants; P = 0.003), thoracic (39.2% vs. 30.9%; P = 0.01), cervical (24.3% vs. 37.0%; P < 0.001), and sacral (1.3% vs. 7.5%; P < 0.001). The AO Spine type C injuries were present in 6.1% of motorcyclists and 10.1% of car occupants (P = 0.03). CONCLUSIONS: Motorcyclists were younger, less educated, had a higher proportion of males, and less commonly used safety devices than car occupants. The most commonly fractured spine region among both groups was the lumbar region. The cervical and sacral vertebrae fractures were significantly more common in car occupants, whereas the thoracic and lumbar vertebrae fractures were significantly more common in motorcyclists.

Navigating Road Traffic Accidents in Jordan: A Retrospective Exploration of the Health and Economic Impacts.

Background Road traffic accidents (RTAs) are considered a major public health threat. The causes of RTAs are multifactorial, comprising both human and non-human factors. RTAs may result not only in detrimental health consequences but also in serious economic burdens. This study aimed to provide a retrospective overview of the health and economic impacts of RTAs in Jordan during the period 2013-2021, including the implemented multisectoral mitigation strategies. Methodology This study presents a retrospective chart review of the traffic reports published by the Public Security Directorate (PSD) in Jordan during the period 2013-2021. The examined variables were the total number of road accidents involving human injuries per year, average road accidents per day, annual deaths, average deaths per day, deaths per 100,000 population, annual number of injuries, average number of injuries per day, severity of human injury, number of registered vehicles, and the annual financial costs. Data were extracted from PSD reports and presented descriptively. Results The number of registered vehicles has risen from 1,263,754 in 2013 to 1,795,215 in 2021 with a 42.1% increase. This was also associated with an increase in the average RTAs per day from 28.0 in 2013 to 30.8 in 2021. The total number of RTAs that involved human injuries during the period 2013-2021 fluctuated with 8,451 in 2020 (lowest) and 11,241 in 2021 (highest). In the same period, annual deaths caused by RTAs peaked in 2013 with 768 deaths (highest) compared to 461 in 2020 (lowest). In the five years from 2017 to 2021, the total financial cost of RTAs in Jordan was nearly 1.561 billion Jordanian Dinars (~2.2 billion U.S. dollars) compared to 1.363 billion Jordanian Dinars (~1.92 billion U.S. dollars) in the five years from 2012 to 2016. Conclusions Targeting human and road infrastructure factors through effective government-society partnerships is crucial in mitigating the health and economic burden of RTAs in Jordan. More strict enforcement of traffic laws, along with incremental increases in the penalties for dangerous traffic violations, and regular road safety campaigns are expected to provide more control over the human factors of RTAs. Further research is needed to evaluate the impact of the recently amended traffic law on the trends of RTAs in the country.

Analysis of pedestrian accident severity by considering temporal instability and heterogeneity.

The aim of this study was to investigate the effects of temporal instability and possible heterogeneity on pedestrian accident severity, 48786 accident data from 2018 to 2021 in the UK STATS database were used as the study object, and accident severity was used as the dependent variable, and 49 accident characteristics were selected as independent variables from 6 characteristics of accident pedestrian, driver, vehicle, road, environment and time to construct the pedestrian accident mean heterogeneity random-parameter logit model and examined its temporal stability. The results of model estimation and likelihood ratio tests indicate that the variables affecting pedestrian injury severity are highly variable and not stable over the years. And further demonstrates the potential of models that address unobserved heterogeneity for significant relationships in pedestrian accident severity analyses.

Fabrication of Implant-Supported Auricular Prosthesis Using Artificial Intelligence.

The absence of any organ of the facial region causes an asymmetrical appearance. This asymmetrical appearance can cause social dilemmas for the patient. The maxillofacial technician, the prosthodontist, and the patient must work closely together to fabricate an epithesis. On the implants, a superstructure is first constructed. Most of it is made up of rings and a bar that joins the implants. The firm acrylic resin base of the epithesis is equipped with clips that serve as the epithesis's retention mechanism. The actual epithesis is made of silicone rubber. The epithesis has to be shaped and colored with extreme caution. An appropriate substitute is an auricular prosthesis that is implant-retained. Microtia, deformity, malformation, and loss of the external ear, either partially or completely, can result from a variety of inherited genetic conditions. To evaluate the symmetry of both ears, artificial intelligence (AI) software is used. An Instagram lens Gridset by crystalwavesxx was used to correct and verify the bilateral symmetry of the patient. This case report primarily focuses on the fabrication of implant-supported auricular prostheses using AI.

A data-mining study on the prediction of head injury in traffic accidents among vulnerable road users with varying body sizes and head anatomical characteristics.

Body sizes and head anatomical characteristics play the major role in the head injuries sustained by vulnerable road users (VRU) in traffic accidents. In this study, in order to study the influence mechanism of body sizes and head anatomical characteristics on head injury, we used age, gender, height, and Body Mass Index (BMI) as characteristic parameters to develop the personalized human body multi-rigid body (MB) models and head finite element (FE) models. Next, using simulation calculations, we developed the VRU head injury dataset based on the personalized models. In the dataset, the dependent variables were the degree of head injury and the brain tissue von Mises value, while the independent variables were height, BMI, age, gender, traffic participation status, and vehicle speed. The statistical results of the dataset show that the von Mises value of VRU brain tissue during collision ranges from 4.4 kPa to 46.9 kPa at speeds between 20 and 60 km/h. The effects of anatomical characteristics on head injury include: the risk of a more serious head injury of VRU rises with age; VRU with higher BMIs has less head injury in collision accidents; height has very erratic and nonlinear impacts on the von Mises values of the VRU's brain tissue; and the severity of head injury is not significantly influenced by VRU's gender. Furthermore, we developed the classification prediction models of head injury degree and the regression prediction models of head injury response parameter by applying eight different data mining algorithms to this dataset. The classification prediction models have the best accuracy of 0.89 and the best R2 value of 0.85 for the regression prediction models.

Motorcycle injuries: a systematic review for forensic evaluation.

The intricate interplay of exposure and speed leave motorcyclists vulnerable, leading to high mortality rates. During the collision, the driver and the passenger are usually projected away from the motorcycle, with variable trajectories or final positions. Injuries resulting from the crash can exhibit distinct and specific characteristics depending on the circumstances of the occurrence.The aim of this study is to provide a systematic review of the literature on injuries sustained by motorcyclists involved in road accidents describing and analyzing elements that are useful for forensic assessment.The literature search was performed using PubMed, Scopus and Web of Science from January 1970 to June 2023. Eligible studies have investigated issues of interest to forensic medicine about during traffic accidents involving motorcycle. A total of 142 studies met the inclusion criteria and were classified and analyzed based on the anatomical regions of the body affected (head, neck, thoraco-abdominal, pelvis, and limb injuries). Moreover, also the strategies for preventing lesions and assessing injuries in the reconstruction of motorcycle accidents were examined and discussed.This review highlights that, beyond injuries commonly associated with motorcycle accidents, such as head injuries, there are also unique lesions linked to the specific dynamics of accidents. These include factors like the seating position of the passenger or impact with the helmet or motorbike components. The forensic assessment of injury distribution could serve as support in reconstructing the sequence of events leading to the crash and defining the cause of death in trauma fatalities.