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Type 2 diabetes mellitus increases the severity of non-fatal injuries, but not the risk of fatal injuries, among driver victims of motor vehicle crashes in Taiwan
I-Lin Hsu, Wen-Hsuan Hou, Ya-Hui Chang, Chung-Yi Li
Epidemiol Health. 2022;44:e2022076.   Published online September 16, 2022
DOI: https://doi.org/10.4178/epih.e2022076
  • 4,230 View
  • 112 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Limited information is available on whether diabetes increases the severity of injuries from motor vehicle crashes (MVCs). This study aimed to investigate the association of type 2 diabetes with injury severity among driver victims of MVCs.
METHODS
This cohort study involved 75,737 adult driver victims with type 2 diabetes from Taiwan’s Police-Reported Traffic Accident Registry in 2015-2017, along with 150,911 sex-, age-, and calendar year-matched controls. The severity level of non- fatal injuries was derived from the International Classification of Diseases Programs for Injury Categorization based on the diagnostic codes of National Health Insurance claims within 3 days after an MVC. Information on fatal injuries within 3 days after an MVC was obtained from the Taiwan Death Registry. Logistic regression models were used to estimate the odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) of injury severity in association with type 2 diabetes.
RESULTS
After adjusting for potential confounders, driver victims with type 2 diabetes experienced significantly higher risks of mild and severe non-fatal injuries than their counterparts without diabetes, with covariate-adjusted ORs of 1.08 (95% CI, 1.05 to 1.11) and 1.28 (95% CI, 1.20 to 1.37), respectively. By contrast, the adjusted OR for fatal injuries was not significantly elevated, at 1.02 (95% CI, 0.89 to 1.18). Similar results were found when car and scooter driver victims were analyzed separately.
CONCLUSIONS
Type 2 diabetes was found to moderately increase the severity of non-fatal injuries from MVCs among car and scooter driver victims.
Summary
Key Message
With 75,737 driver victims with diabetes and 150,911 matched controls, this study showed an 8% and 28% increase in mild and severe non-fatal injury, respectively among driver victims with diabetes. Such increase in risk was equally applied to both car and scooter drivers. No increase in risk of 3-day mortality after crash was found.
Estimation of the population attributable fraction of road-related injuries due to speeding and passing in Iran
Fatemeh Khosravi Shadmani, Hamid Soori, Kamyar Mansori, Manoochehr Karami, Erfan Ayubi, Salman Khazaei
Epidemiol Health. 2016;38:e2016038.   Published online August 29, 2016
DOI: https://doi.org/10.4178/epih.e2016038
  • 15,451 View
  • 282 Download
  • 4 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
Speeding and passing are considered to be the main human factors resulting in road traffic injuries (RTIs). This study aimed to estimate the population attributeable fraction (PAF) of speeding and passing in RTIs in rural Iran during 2012.
METHODS
The contribution of speeding and passing to RTI-related morbidity and mortality was estimated using the PAF method. The prevalence of speeding and passing was obtained from the national traffic police data registry. A logistic regression model was used to measure the association between the above risk factors and RTIs.
RESULTS
Speeding accounted for 20.96% and 16.61% of rural road-related deaths and injuries, respectively. The corresponding values for passing were 13.50% and 13.44%, respectively. Jointly, the PAF of these factors was 31.63% for road-related deaths and 27.81% for injuries.
CONCLUSIONS
This study illustrates the importance of controlling speeding and passing as a high-priority aspect of public-health approaches to RTIs in Iran. It is recommended that laws restricting speeding and passing be enforced more strictly.
Summary

Citations

Citations to this article as recorded by  
  • Human Risk Factors for Severity of Injuries in Urban and Suburban Traffic Accidents in Southern Iran: An Insight from Police Data
    Meisam Abolvardi, Nader Sharifi, Karamatollah Rahmanian, Vahid Rahmanian
    International Journal of High Risk Behaviors and Addiction.2023;[Epub]     CrossRef
  • Evaluation of the effect of fixed speed cameras on speeding behavior among Iranian taxi drivers through telematics monitoring
    Hamed Tavolinejad, Mohammad-Reza Malekpour, Nazila Rezaei, Ayyoob Jafari, Naser Ahmadi, Ali Nematollahi, Elham Abdolhamidi, Elmira Foroutan Mehr, Milad Hasan, Farshad Farzadfar
    Traffic Injury Prevention.2021; 22(7): 559.     CrossRef
  • Spousal violence against women and its association with sociodemographic factors and husbands’ controlling behaviour: the findings of Myanmar Demographic and Health Survey (2015–2016)
    Tayzar Tun, Per-Olof Ostergren
    Global Health Action.2020; 13(1): 1844975.     CrossRef
  • Time Series Analysis of Mortalities Resulting from Car Accidents in the Injured Individuals Hospitalized in Shiraz Shahid Rajaee Hospital During 2010 - 2016
    Haleh Ghaem, Mahmoud Hajipour, Hamid Reza Tababataee, Mahnaz Yadollahi, Fatemeh Izanloo
    Trauma Monthly.2017;[Epub]     CrossRef
Accidents Status of Freshmen for 2 Months before Entrance University.
Young Sun Min, Hyun Sul Lim
Korean J Epidemiol. 2005;27(1):173-181.
  • 65,535 View
  • 11 Download
AbstractAbstract PDF
Abstract
OBJECTIVES
In recent years, Korea has experienced a loss of manpower and economy due to accidents. The consequences have been comprehensive. Nevertheless, there have been few recent Korean studies on adult accidents. Therefore, this study was carried out to examine the incidence pattern of accidents for 2 months before entering university among university freshmen.
METHODS
The subjects were 1,920 university freshmen who visited the university health center for health examination from March 8 to 12, 2004, and self-reported questionnaire was given to the subjects. The authors developed a questionnaire including age, gender, place and type of high school, experience of accidents, occurrence time and type of accidents and so on.
RESULTS
The monthly incidence of accident was 9.9 per 1,000 population. The accident cases were 28 in male and 10 in female, and the incidence of males was significantly higher than females. The frequent accident states were 15 cases in 'Ordinary life' (39.8%), 10 in 'Sports activities' (26.3%), 9 in 'Walking' (23.7%) and so on. The accident types were 13 cases of 'Tumbling over' (34.2%), 12 of 'Crash' (31.6%), 8 of 'Traffic accident' (21.0%) and so on. The frequent injury types were 19 cases of 'Sprain' (50.0%), 15 of 'Contusion' (38.4%) and 2 of 'Laceration' (5.3%). One's own carelessness was the most frequent cause of accident (65.8%). After the accident, 28 cases(73.7%) visited the hospital, 7 (18.4%) were hospitalized, and 3 (7.9%) underwent surgery.
CONCLUSIONS
Because the most frequent cause of accidents was one's own carelessness, self-consciousness and attention are needed. The authors expect that this study will go far toward increasing concern of researchers and administrators for the accidents among adults.
Summary

Epidemiol Health : Epidemiology and Health