Evidence map›Paper›PMID 27608807›Full record

ArticleEpidemiology and health2016

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

Fatemeh Khosravi Shadmani, Hamid Soori, Kamyar Mansori, Manoochehr Karami, Erfan Ayubi, Salman Khazaei

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Article in Epidemiology and health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fatemeh Khosravi ShadmaniModeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Hamid SooriDepartment of Epidemiology, School of Public Health, Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Kamyar MansoriSocial Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Manoochehr KaramiDepartment of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Erfan AyubiDepartment of Public Health, School of Public Health, Zabol University of Medical Sciences, Zabol, Iran.
Salman KhazaeiDepartment of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSpeeding 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.

methodsThe 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.

resultsSpeeding 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.

conclusionsThis 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.

Indexed as

Dangerous BehaviorAccidents, TrafficAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantIranLogistic ModelsMaleMiddle AgedPrevalenceAccidentsIranPopulation attributable fractionPrevalenceRisk factorsTraffic

Identifiers

PMID27608807
PMCPMC5114436

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