Road-traffic deaths in China, 1985-2005: threat and opportunity.
OBJECTIVE
To examine recent trends and geographic variations in road-traffic deaths in China.


METHODS
A longitudinal descriptive analysis of national and provincial data on road-traffic deaths, examining recent trends and geographic variations.


METHODS
China, 1985-2005.


METHODS
The Transportation and communications yearbook of China (1986-2006) and the National statistics yearbook of China (1996-2006).


METHODS
The percentage change in death rates per 100,000 population was used to examine the trend. Epi Info was used to map the geographic distribution of road-traffic death rates and the increases in rates. Correlation coefficients were calculated between per capita gross regional product, road quality, and the number of motor vehicles in the 31 provinces, to help understand the geographic variations in road-traffic mortality at the provincial level in China.


RESULTS
The road-traffic death rate increased by 95%, from 3.9/100,000 persons in 1985 to 7.6/100,000 persons in 2005. High death rates and the greatest increases in death rates occurred in both developed provinces in the southeast and underdeveloped northern and western provinces. Xizang/Tibet, Qinghai, and Xinjiang, with the lowest population density, had the highest death rates per 100 vehicles.


CONCLUSIONS
China's government should introduce and support measures to prevent road-traffic injuries. Developed and underdeveloped provinces in China should both be considered when road-traffic policy and interventions are developed.
Department of Epidemiology and Health Statistics, School of Public Health, Central South University, Changsha, Hunan, China.
G
G
Hu
M
M
Wen
T D
TD
Baker
S P
SP
Baker
D000063:Accidents, Traffic / Q000401:mortality* / Q000639:trends; D001334:Automobile Driving / Q000706:statistics & numerical data; D001336:Automobiles / Q000706:statistics & numerical data; D002681:China / Q000453:epidemiology; D006801:Humans; D008137:Longitudinal Studies; D009026:Mortality / Q000639:trends; D018986:Motor Vehicles / Q000706:statistics & numerical data; D011156:Population Density; D012959:Socioeconomic Factors