Cargando…

Epidemiology of traffic injuries and motor vehicles utilization in the Capital of Iran: A population based study

BACKGROUND: Road traffic injuries are a serious public health problem worldwide. The incidence rate of fatal road traffic injuries is 26.4 per 100000 in the Eastern Mediterranean Region. Road traffic injuries are a major public health problem in Iran. Different routine sources are available for road...

Descripción completa

Detalles Bibliográficos
Autores principales: Saadat, Soheil, Soori, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3141457/
https://www.ncbi.nlm.nih.gov/pubmed/21693056
http://dx.doi.org/10.1186/1471-2458-11-488
_version_ 1782208685399867392
author Saadat, Soheil
Soori, Hamid
author_facet Saadat, Soheil
Soori, Hamid
author_sort Saadat, Soheil
collection PubMed
description BACKGROUND: Road traffic injuries are a serious public health problem worldwide. The incidence rate of fatal road traffic injuries is 26.4 per 100000 in the Eastern Mediterranean Region. Road traffic injuries are a major public health problem in Iran. Different routine sources are available for road traffic injuries in Iran, but they present several limitations. This study aimed to determine the epidemiology of road traffic injuries in greater Tehran, using a population-based approach which is less prone to under-estimation compared to service-based data. METHODS: In the year 2008, 2488 households were randomly selected for a face to face interview. Trained interviewers referred to the selected households to collect the subjects' demographic information, as well as their motor vehicle utilization and traffic injuries during the year prior to data collection. All interviews were recorded using a digital voice recorder and reviewed by a quality control team the day after the interview. The Student's t-test and ANOVA were used to analyze continuous variables. Chi-square test -including a test for trend for ordinal data- was used to analyze categorical variables. Ninety-five percent confidence interval was calculated for point estimates of incidences using Poisson or binomial distribution assumptions accordingly. RESULTS: There were 119 traffic injury cases including 3 deaths (33 per 100 000) in the survey sample (n = 9100). The annual incidence of all traffic injuries for 1000 population was 13.1 (95% CI: 10.8 - 15.6), and that of fatal traffic injuries was 33.0 per 100 000 population (95% CI: 6.80 - 96.32). The annual incidence of collision traffic injury for 1000 motorcycles was 95. CONCLUSION: This population-based study demonstrates that the morbidity rate of RTIs is about ten times higher than the national figures reported by other available sources; and this can serve as an important warning to countries like Iran to prioritize this issue in their public health activities. To ensure more safety on our roads, we need to establish an injury surveillance system, and a more accurate national data capture system on RTIs.
format Online
Article
Text
id pubmed-3141457
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-31414572011-07-23 Epidemiology of traffic injuries and motor vehicles utilization in the Capital of Iran: A population based study Saadat, Soheil Soori, Hamid BMC Public Health Research Article BACKGROUND: Road traffic injuries are a serious public health problem worldwide. The incidence rate of fatal road traffic injuries is 26.4 per 100000 in the Eastern Mediterranean Region. Road traffic injuries are a major public health problem in Iran. Different routine sources are available for road traffic injuries in Iran, but they present several limitations. This study aimed to determine the epidemiology of road traffic injuries in greater Tehran, using a population-based approach which is less prone to under-estimation compared to service-based data. METHODS: In the year 2008, 2488 households were randomly selected for a face to face interview. Trained interviewers referred to the selected households to collect the subjects' demographic information, as well as their motor vehicle utilization and traffic injuries during the year prior to data collection. All interviews were recorded using a digital voice recorder and reviewed by a quality control team the day after the interview. The Student's t-test and ANOVA were used to analyze continuous variables. Chi-square test -including a test for trend for ordinal data- was used to analyze categorical variables. Ninety-five percent confidence interval was calculated for point estimates of incidences using Poisson or binomial distribution assumptions accordingly. RESULTS: There were 119 traffic injury cases including 3 deaths (33 per 100 000) in the survey sample (n = 9100). The annual incidence of all traffic injuries for 1000 population was 13.1 (95% CI: 10.8 - 15.6), and that of fatal traffic injuries was 33.0 per 100 000 population (95% CI: 6.80 - 96.32). The annual incidence of collision traffic injury for 1000 motorcycles was 95. CONCLUSION: This population-based study demonstrates that the morbidity rate of RTIs is about ten times higher than the national figures reported by other available sources; and this can serve as an important warning to countries like Iran to prioritize this issue in their public health activities. To ensure more safety on our roads, we need to establish an injury surveillance system, and a more accurate national data capture system on RTIs. BioMed Central 2011-06-21 /pmc/articles/PMC3141457/ /pubmed/21693056 http://dx.doi.org/10.1186/1471-2458-11-488 Text en Copyright ©2011 Saadat and Soori; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Saadat, Soheil
Soori, Hamid
Epidemiology of traffic injuries and motor vehicles utilization in the Capital of Iran: A population based study
title Epidemiology of traffic injuries and motor vehicles utilization in the Capital of Iran: A population based study
title_full Epidemiology of traffic injuries and motor vehicles utilization in the Capital of Iran: A population based study
title_fullStr Epidemiology of traffic injuries and motor vehicles utilization in the Capital of Iran: A population based study
title_full_unstemmed Epidemiology of traffic injuries and motor vehicles utilization in the Capital of Iran: A population based study
title_short Epidemiology of traffic injuries and motor vehicles utilization in the Capital of Iran: A population based study
title_sort epidemiology of traffic injuries and motor vehicles utilization in the capital of iran: a population based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3141457/
https://www.ncbi.nlm.nih.gov/pubmed/21693056
http://dx.doi.org/10.1186/1471-2458-11-488
work_keys_str_mv AT saadatsoheil epidemiologyoftrafficinjuriesandmotorvehiclesutilizationinthecapitalofiranapopulationbasedstudy
AT soorihamid epidemiologyoftrafficinjuriesandmotorvehiclesutilizationinthecapitalofiranapopulationbasedstudy