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The Impact of the Thai Motorcycle Transition on Road Traffic Injury: Thai Cohort Study Results

OBJECTIVES: The aim of this study was to investigate the impact of motorcycle to car transitioning and urbanisation on traffic injury rates in Thailand. DESIGN: Analysis of two consecutive surveys of a large national cohort study. SETTING: Thailand. PARTICIPANTS: The data derived from 57,154 Thai Co...

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Autores principales: Berecki-Gisolf, Janneke, Yiengprugsawan, Vasoontara, Kelly, Matthew, McClure, Roderick, Seubsman, Sam-ang, Sleigh, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380320/
https://www.ncbi.nlm.nih.gov/pubmed/25826214
http://dx.doi.org/10.1371/journal.pone.0120617
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author Berecki-Gisolf, Janneke
Yiengprugsawan, Vasoontara
Kelly, Matthew
McClure, Roderick
Seubsman, Sam-ang
Sleigh, Adrian
author_facet Berecki-Gisolf, Janneke
Yiengprugsawan, Vasoontara
Kelly, Matthew
McClure, Roderick
Seubsman, Sam-ang
Sleigh, Adrian
author_sort Berecki-Gisolf, Janneke
collection PubMed
description OBJECTIVES: The aim of this study was to investigate the impact of motorcycle to car transitioning and urbanisation on traffic injury rates in Thailand. DESIGN: Analysis of two consecutive surveys of a large national cohort study. SETTING: Thailand. PARTICIPANTS: The data derived from 57,154 Thai Cohort Study (TCS) participants who provided relevant data on both the 2005 and 2009 surveys. PRIMARY AND SECONDARY OUTCOME MEASURES: Motorcycle and car traffic crash injury self-reported in 2009, with twelve months’ recall. RESULTS: In 2009, 5608(10%) participants reported a traffic crash injury. Most crashes involved a motorcycle (74%). Car access increased and motorcycle use decreased between 2005 and 2009. Among those who used a motorcycle at both time points, traffic injury incidence was 2.8 times greater compared to those who did not use a motorcycle at either time point. Multivariable logistic regression models were used to test longitudinal and cross sectional factors associated with traffic crash injury: in the adjusted model, cars were negatively and motorcycles positively associated with injury. Living in an urban area was not injury protective in the adjusted model of traffic crash injury. CONCLUSIONS: Ongoing urbanisation in Thailand can be expected to lead to further reductions in road traffic injuries based on transition from motorcycles to cars in urban areas. Cities, however, do not provide an intrinsically safer traffic environment. To accommodate a safe transition to car use in Thailand, traffic infrastructural changes anticipating the growing car density in urban areas is warranted.
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spelling pubmed-43803202015-04-09 The Impact of the Thai Motorcycle Transition on Road Traffic Injury: Thai Cohort Study Results Berecki-Gisolf, Janneke Yiengprugsawan, Vasoontara Kelly, Matthew McClure, Roderick Seubsman, Sam-ang Sleigh, Adrian PLoS One Research Article OBJECTIVES: The aim of this study was to investigate the impact of motorcycle to car transitioning and urbanisation on traffic injury rates in Thailand. DESIGN: Analysis of two consecutive surveys of a large national cohort study. SETTING: Thailand. PARTICIPANTS: The data derived from 57,154 Thai Cohort Study (TCS) participants who provided relevant data on both the 2005 and 2009 surveys. PRIMARY AND SECONDARY OUTCOME MEASURES: Motorcycle and car traffic crash injury self-reported in 2009, with twelve months’ recall. RESULTS: In 2009, 5608(10%) participants reported a traffic crash injury. Most crashes involved a motorcycle (74%). Car access increased and motorcycle use decreased between 2005 and 2009. Among those who used a motorcycle at both time points, traffic injury incidence was 2.8 times greater compared to those who did not use a motorcycle at either time point. Multivariable logistic regression models were used to test longitudinal and cross sectional factors associated with traffic crash injury: in the adjusted model, cars were negatively and motorcycles positively associated with injury. Living in an urban area was not injury protective in the adjusted model of traffic crash injury. CONCLUSIONS: Ongoing urbanisation in Thailand can be expected to lead to further reductions in road traffic injuries based on transition from motorcycles to cars in urban areas. Cities, however, do not provide an intrinsically safer traffic environment. To accommodate a safe transition to car use in Thailand, traffic infrastructural changes anticipating the growing car density in urban areas is warranted. Public Library of Science 2015-03-31 /pmc/articles/PMC4380320/ /pubmed/25826214 http://dx.doi.org/10.1371/journal.pone.0120617 Text en © 2015 Berecki-Gisolf et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Berecki-Gisolf, Janneke
Yiengprugsawan, Vasoontara
Kelly, Matthew
McClure, Roderick
Seubsman, Sam-ang
Sleigh, Adrian
The Impact of the Thai Motorcycle Transition on Road Traffic Injury: Thai Cohort Study Results
title The Impact of the Thai Motorcycle Transition on Road Traffic Injury: Thai Cohort Study Results
title_full The Impact of the Thai Motorcycle Transition on Road Traffic Injury: Thai Cohort Study Results
title_fullStr The Impact of the Thai Motorcycle Transition on Road Traffic Injury: Thai Cohort Study Results
title_full_unstemmed The Impact of the Thai Motorcycle Transition on Road Traffic Injury: Thai Cohort Study Results
title_short The Impact of the Thai Motorcycle Transition on Road Traffic Injury: Thai Cohort Study Results
title_sort impact of the thai motorcycle transition on road traffic injury: thai cohort study results
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380320/
https://www.ncbi.nlm.nih.gov/pubmed/25826214
http://dx.doi.org/10.1371/journal.pone.0120617
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