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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Main Authors: Paibul Suriyawongpaisa, Ammarin Thakkinstian, Aratta Rangpueng, Piyapong Jiwattanakulpaisarn, Pimpa Techakamolsuk
Other Authors: Mahidol University
Format: Article
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/32160
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Institution: Mahidol University
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spelling th-mahidol.321602018-10-19T12:16:30Z Disparity in motorcycle helmet use in Thailand Paibul Suriyawongpaisa Ammarin Thakkinstian Aratta Rangpueng Piyapong Jiwattanakulpaisarn Pimpa Techakamolsuk Mahidol University Thailand Ministry of Public Health ThaiRoads Foundation Medicine 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. © 2013 Suriyawongpaisa et al.; licensee BioMed Central Ltd. 2018-10-19T05:16:30Z 2018-10-19T05:16:30Z 2013-09-03 Article International Journal for Equity in Health. Vol.12, No.1 (2013) 10.1186/1475-9276-12-74 14759276 2-s2.0-84883193040 https://repository.li.mahidol.ac.th/handle/123456789/32160 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84883193040&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Medicine
spellingShingle Medicine
Paibul Suriyawongpaisa
Ammarin Thakkinstian
Aratta Rangpueng
Piyapong Jiwattanakulpaisarn
Pimpa Techakamolsuk
Disparity in motorcycle helmet use in Thailand
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. © 2013 Suriyawongpaisa et al.; licensee BioMed Central Ltd.
author2 Mahidol University
author_facet Mahidol University
Paibul Suriyawongpaisa
Ammarin Thakkinstian
Aratta Rangpueng
Piyapong Jiwattanakulpaisarn
Pimpa Techakamolsuk
format Article
author Paibul Suriyawongpaisa
Ammarin Thakkinstian
Aratta Rangpueng
Piyapong Jiwattanakulpaisarn
Pimpa Techakamolsuk
author_sort Paibul Suriyawongpaisa
title Disparity in motorcycle helmet use in Thailand
title_short 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_sort disparity in motorcycle helmet use in thailand
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/32160
_version_ 1763495459289038848