Epidemiol Health.  2016;38:e2016038. 10.4178/epih.e2016038.

Estimation of the population attributable fraction of road-related injuries due to speeding and passing in Iran

• Shadmani F
• Soori H
• Mansori K
• Karami M
• Ayubi E
• Khazaei S

• KMID: 2380728
• DOI: http://doi.org/10.4178/epih.e2016038

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.

Keyword

Accidents; Traffic; Risk factors; Prevalence; Population attributable fraction; Iran

MeSH Terms

Humans
Iran*
Jurisprudence
Logistic Models
Methods
Mortality
Police
Prevalence
Risk Factors