Accidents, Traffic ; mortality ; statistics & numerical data ; Humans ; Research

Accidents, Traffic ; statistics & numerical data ; China ; Humans ; Wounds and Injuries ; epidemiology

Accidents, Traffic ; statistics & numerical data ; Adult ; China ; epidemiology ; Female ; Humans ; Male ; Wounds and Injuries ; epidemiology ; surgery

OBJECTIVETo make an epidemiological analysis of the effect of environment on extremely severe road traffic crashes (RTCs).

METHODSEpidemiologic data of extremely severe RTCs associated with environmental factors, including weather, topography, road conditions and other traffic conditions in Mainland China during 2000-2001, were collected and analyzed.

RESULTS(1) During 2000-2001, there were 3365 extremely severe RTCs with 13666 deaths, 12204 injuries and a direct economical loss of 136 million RMB. (2) Most extremely severe RTCs occurred in fine weather days and in the daytime. The high occurrence sites were plain areas, horizontal and straight roads, Grade B and C roads, ordinary road segment, and asphalt, smooth and mixed roads. (3) Compared with other RTCs, extremely severe RTCs were more likely to happen under following conditions: on cloudy, snowing, misty and blustering days; in hill and mountainous areas; on crooked and sloping roads; on freeway, Grade A, B, and C roads; mixed roads; ordinary, bridge, narrow and transitional roads; sand and dirt-roads; without traffic control measures; night without lighting. (4) Extremely severe RTCs of mountainous area or crooked and sloping roads were most severe in terms of deaths and injures per crash.

CONCLUSIONSExtremely severe RTCs are closely related with environmental factors. Rational road programming, enhancing road establishment and improving road conditions are probably effective measures to reduce the road traffic injuries.

Accidents, Traffic ; mortality ; statistics & numerical data ; China ; Environment ; Humans ; Retrospective Studies

Accidents, Traffic ; mortality ; prevention & control ; statistics & numerical data ; China ; epidemiology ; Humans ; Prevalence ; Survival Rate

Accidents, Traffic ; prevention & control ; Humans ; Motor Vehicles ; Security Measures ; statistics & numerical data

PURPOSERoad traffic accidents are one of main problems in Iran. Multiple factors cause traffic accidents and the most important one is sleepiness. This factor, however, is given less attention in our country. Road traffic accidents relevant to sleepiness are studied.

METHODSIn this cross-sectional study, all road traffic accidents relevant to sleepiness, which were reported by police, were studied in Tehran province in 2009.

RESULTSThe risk of road traffic accidents due to sleepiness was increased by more than sevenfold (odds ratio = 7.33) in low alertness hours (0:00-6:00) compared to other time of day. The risk of road traffic accidents due to sleepiness was decreased by 0.15-fold (odds ratio = 0.15) in hours with maximum of alertness (18:00-22:00) of circadian rhythm compared to other time of day.

CONCLUSIONThe occurrence of road traffic accidents due to sleepiness has significant statistical relations with driving during lowest point of alertness of circadian rhythm.

Accidents, Traffic ; statistics & numerical data ; Circadian Rhythm ; physiology ; Cross-Sectional Studies ; Female ; Humans ; Iran ; Male ; Sleep

OBJECTIVETo date, there has been little information published on the death of rural road accident deaths. This study uses burden of injury method to explore a more accurate estimate of years of life lost due to road traffic crashes occurring over a four-year period in Guilan province, northern Iran.

METHODSRural road accident deaths from 2009 to 2013 were extracted from Iran's Forensic Medicine System, Death Registry System and Road Trauma Research center database.

RESULTSDuring the study period, the average years of life lost due to motor vehicle crashes was 13.8 per 1 000 persons, ranging from 11.9 during March 2011-2012 to 15.8 per 1 000 persons during March 2012-2013.

CONCLUSIONRoad accident deaths in 2013 remained at the same high level as in 2009. The information obtained from this study provides a new perspective on fatal road traffic crash victims in rural settings and show us that more attention is needed in this area.

Accidents, Traffic ; mortality ; statistics & numerical data ; Humans ; Income ; Iran ; Rural Population

The appearance of cars has raised materialistic civilization and living standard to an unprecedented level. Today, it is hard to imagine how we human beings can live without cars. Yet, motor vehicles can cause a great number of deaths and injuries as well as considerable economic losses, which have constituted the global burden. Understanding of the occurrence and development of road traffic injuries will contribute to the prevention and control of crash and to the implementation of "everybody has the right to enjoy health" proposed by WHO.
Accidents, Traffic ; prevention & control ; statistics & numerical data ; Global Health ; Humans ; Risk Factors

Accidents, Traffic ; statistics & numerical data ; China ; epidemiology ; Humans ; Wounds and Injuries ; epidemiology