Association between daytime sleepiness and motor vehicle accidents among Japanese male taxi drivers

IF 3.2 Q3 TRANSPORTATION
Eisuke Takeyama , Kiyohide Tomooka , Hiroo Wada , Setsuko Sato , Noriko Sakiyama , Ryutaro Shirahama , Takeshi Tanigawa
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引用次数: 0

Abstract

Although the Epworth Sleepiness Scale (ESS) is a scoring system commonly used to assess daytime sleepiness (DS), the association between ESS and motor vehicle accidents (MVAs) remains unclear. Therefore, we conducted a cross-sectional study to examine the association between an increase in the Japanese version of the ESS (JESS) scores and MVAs among Japanese male taxi drivers. The study participants were 1384 Japanese male taxi drivers. DS was assessed using the JESS, and the total JESS scores were categorized into quartile groups. MVA experience during the past five years was assessed using a self-administered questionnaire. A multivariable generalized linear model was used to examine the association between JESS and MVAs after adjusting for age, body mass index, smoking status, snoring, sleep duration, driving experience, driving distance per year, hypertension, and diabetes mellitus.

The proportion of MVAs was 59.7%. The multivariable-adjusted prevalence ratio (95% confidence interval) of MVAs for the highest quartile of the JESS score was 1.16 (1.04–1.29) compared to the lowest quartile, and for continuous JESS score was 1.01 (1.002–1.02). Thus, we found a significant association between an increase in JESS scores and MVAs among Japanese male taxi drivers after adjusting for potential confounders. Stratification by sleep duration and snoring status revealed a significant association among long sleepers and non-snorers. Our findings suggest that ESS evaluation methods be reconsidered in relation to MVA among commercial drivers.

日本男性出租车司机日间困倦与机动车事故的关系
虽然爱普沃斯嗜睡量表(ESS)是一种通常用于评估白天嗜睡(DS)的评分系统,但ESS与机动车事故(MVAs)之间的关系尚不清楚。因此,我们进行了一项横断面研究,以检验日本男性出租车司机中日文版ESS (JESS)分数的增加与MVAs之间的关系。这项研究的参与者是1384名日本男性出租车司机。使用JESS评估DS,并将JESS总分分为四分位数组。在过去的五年里,MVA的经历是用一份自我管理的问卷来评估的。在调整年龄、体重指数、吸烟状况、打鼾、睡眠时间、驾驶经验、每年驾驶距离、高血压和糖尿病等因素后,采用多变量广义线性模型检验JESS与MVAs之间的关系。MVAs占59.7%。JESS评分最高四分位数与最低四分位数的多变量校正患病率比(95%置信区间)为1.16(1.04-1.29),连续JESS评分为1.01(1.002-1.02)。因此,在调整了潜在的混杂因素后,我们发现日本男性出租车司机的JESS分数和MVAs之间存在显著关联。睡眠持续时间和打鼾状态的分层揭示了长睡眠者和不打鼾者之间的显著关联。我们的研究结果表明,ESS评估方法应重新考虑与商业驱动程序的MVA相关的问题。
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来源期刊
IATSS Research
IATSS Research TRANSPORTATION-
CiteScore
6.40
自引率
6.20%
发文量
44
审稿时长
42 weeks
期刊介绍: First published in 1977 as an international journal sponsored by the International Association of Traffic and Safety Sciences, IATSS Research has contributed to the dissemination of interdisciplinary wisdom on ideal mobility, particularly in Asia. IATSS Research is an international refereed journal providing a platform for the exchange of scientific findings on transportation and safety across a wide range of academic fields, with particular emphasis on the links between scientific findings and practice in society and cultural contexts. IATSS Research welcomes submission of original research articles and reviews that satisfy the following conditions: 1.Relevant to transportation and safety, and the multiple impacts of transportation systems on security, human health, and the environment. 2.Contains important policy and practical implications based on scientific evidence in the applicable academic field. In addition to welcoming general submissions, IATSS Research occasionally plans and publishes special feature sections and special issues composed of invited articles addressing specific topics.
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