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Disparity in motorcycle helmet use in Thailand

The dispersion of motorcycle related injuries and deaths might be a result of disparity in motorcycle helmet use. This study uses national roadside survey data, injury sentinel surveillance data and other national data sets in 2010 of Thailand, a country with high mortality related to motorcycle inj...

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Autores principales: Suriyawongpaisa, Paibul, Thakkinstian, Ammarin, Rangpueng, Aratta, Jiwattanakulpaisarn, Piyapong, Techakamolsuk, Pimpa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765770/
https://www.ncbi.nlm.nih.gov/pubmed/24119233
http://dx.doi.org/10.1186/1475-9276-12-74
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author Suriyawongpaisa, Paibul
Thakkinstian, Ammarin
Rangpueng, Aratta
Jiwattanakulpaisarn, Piyapong
Techakamolsuk, Pimpa
author_facet Suriyawongpaisa, Paibul
Thakkinstian, Ammarin
Rangpueng, Aratta
Jiwattanakulpaisarn, Piyapong
Techakamolsuk, Pimpa
author_sort Suriyawongpaisa, Paibul
collection PubMed
description The dispersion of motorcycle related injuries and deaths might be a result of disparity in motorcycle helmet use. This study uses national roadside survey data, injury sentinel surveillance data and other national data sets in 2010 of Thailand, a country with high mortality related to motorcycle injuries, to explore the disparity in helmet use, explanatory factors of the disparity. It also assessed potential agreement and correlation between helmet use rate reported by the roadside survey and the injury sentinel surveillance. This report revealed helmet use rate of 43.7%(95% CI:43.6,43.9) nationwide with the highest rate (81.8%; 95% CI: 44.0,46.4) in Bangkok. Helmet use rate in drivers (53.3%; 95% CI: 53.2,53.8) was 2.5 times higher than that in passengers (19.3%; 95% CI:18.9,19.7). In relative terms (highest-to-lowest ratio,HLR), geographical disparity in helmet use was found to be higher in passengers (HLR=28.5). Law enforcement activities as indicated by the conviction rate of motorcyclists were significantly associated with the helmet use rate (spline regression coefficient = 3.90, 95% CI: 0.48,7.33). Together with the finding of HLR for conviction rate of 87.24, it is suggested that more equitable improvement in helmet use could be achieved by more equitable distribution of the police force. Finally, we found poor correlation (r=0.01; p value = 0.76) and no agreement (difference = 34.29%; 95% CI:13.48%, 55.09%) between roadside survey and injury sentinel surveillance in estimating helmet use rate. These findings should be considered a warning for employing injury surveillance to monitor policy implementation of helmet use.
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spelling pubmed-37657702013-09-08 Disparity in motorcycle helmet use in Thailand Suriyawongpaisa, Paibul Thakkinstian, Ammarin Rangpueng, Aratta Jiwattanakulpaisarn, Piyapong Techakamolsuk, Pimpa Int J Equity Health Research The dispersion of motorcycle related injuries and deaths might be a result of disparity in motorcycle helmet use. This study uses national roadside survey data, injury sentinel surveillance data and other national data sets in 2010 of Thailand, a country with high mortality related to motorcycle injuries, to explore the disparity in helmet use, explanatory factors of the disparity. It also assessed potential agreement and correlation between helmet use rate reported by the roadside survey and the injury sentinel surveillance. This report revealed helmet use rate of 43.7%(95% CI:43.6,43.9) nationwide with the highest rate (81.8%; 95% CI: 44.0,46.4) in Bangkok. Helmet use rate in drivers (53.3%; 95% CI: 53.2,53.8) was 2.5 times higher than that in passengers (19.3%; 95% CI:18.9,19.7). In relative terms (highest-to-lowest ratio,HLR), geographical disparity in helmet use was found to be higher in passengers (HLR=28.5). Law enforcement activities as indicated by the conviction rate of motorcyclists were significantly associated with the helmet use rate (spline regression coefficient = 3.90, 95% CI: 0.48,7.33). Together with the finding of HLR for conviction rate of 87.24, it is suggested that more equitable improvement in helmet use could be achieved by more equitable distribution of the police force. Finally, we found poor correlation (r=0.01; p value = 0.76) and no agreement (difference = 34.29%; 95% CI:13.48%, 55.09%) between roadside survey and injury sentinel surveillance in estimating helmet use rate. These findings should be considered a warning for employing injury surveillance to monitor policy implementation of helmet use. BioMed Central 2013-08-30 /pmc/articles/PMC3765770/ /pubmed/24119233 http://dx.doi.org/10.1186/1475-9276-12-74 Text en Copyright © 2013 Suriyawongpaisa et al.; 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
Suriyawongpaisa, Paibul
Thakkinstian, Ammarin
Rangpueng, Aratta
Jiwattanakulpaisarn, Piyapong
Techakamolsuk, Pimpa
Disparity in motorcycle helmet use in Thailand
title Disparity in motorcycle helmet use in Thailand
title_full Disparity in motorcycle helmet use in Thailand
title_fullStr Disparity in motorcycle helmet use in Thailand
title_full_unstemmed Disparity in motorcycle helmet use in Thailand
title_short Disparity in motorcycle helmet use in Thailand
title_sort disparity in motorcycle helmet use in thailand
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765770/
https://www.ncbi.nlm.nih.gov/pubmed/24119233
http://dx.doi.org/10.1186/1475-9276-12-74
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