Analysis of Characteristics of Road Traffic Accident Casualties in Guilin

摘要

Objectives: To explore the characteristics of road traffic accident casualties and time distribution characteristics of road traffic crashes in Guilin. Methods: We analyzed the data of road traffic crashes in 2007-2014 of Guilin to explore the casualty’s features of road traffic injuries and time distribution characteristics of road traffic crashes. Results: A total of 3162 road traffic accident casualties were studied. The majority of the study subjects were males (63.23%) who suffered almost twice as females. The casualties’ ages ranged from 5 to 78 years with the mean age 33.65 ± 16.76 years. The mortality rate of RTCs was significantly higher in males than in females (61.39 versus 38.61, P < 0.05). RTIs disproportionately affected adult people, with the majority of those fatalities occurred among people aged 15 - 59 years. The mortality rates of RTCs varied greatly by educational status, more than one-third occurred in people of secondary school. Approximately 40.25% of fatalities of road traffic crashes occurred in daily laborer showed that mortality rate was significantly higher than other occupations (P < 0.05). The distribution of season from road traffic deaths involved Spring (24.72%), Summer (15.56%), Autumn (30.56%), and Winter (29.17%). The proportion of road traffic deaths varied from the lowest 6.02% in 9:00 - 12:00 to the highest 16.78% in 0:00 - 3:0; midnight (0:00 - 3:00) shows a significantly higher proportion of reported road traffic deaths (P < 0.05). The upper limbs and lower limbs were the most common body region injured accounting for 16.57% and 17.84% of cases respectively; the highest fatality rate of head was 20.77% and followed by abdomen of 15.75%. Conclusions: This study showed diverse morbidity and mortality characteristics among the casualties and varied the road traffic accident rate and fatality rate from season and time. Corresponding measures to reduce the occurrence of traffic injuries should be formulated according to different population and time.