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Increase in rear-end collision risk by acute stress-induced fatigue in on-road truck driving.
Minusa, Shunsuke; Mizuno, Kei; Ojiro, Daichi; Tanaka, Takeshi; Kuriyama, Hiroyuki; Yamano, Emi; Kuratsune, Hirohiko; Watanabe, Yasuyoshi.
Afiliação
  • Minusa S; Research & Development Group, Hitachi, Ltd., Tokyo, Japan.
  • Mizuno K; Laboratory for Pathophysiological and Health Science, RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo, Japan.
  • Ojiro D; RIKEN Compass to Healthy Life Research Complex Program, Kobe, Hyogo, Japan.
  • Tanaka T; Osaka City University Center for Health Science Innovation, Osaka, Japan.
  • Kuriyama H; Department of Medical Science on Fatigue, Osaka City University Graduate School of Medicine, Osaka, Japan.
  • Yamano E; Research & Development Group, Hitachi, Ltd., Tokyo, Japan.
  • Kuratsune H; Research & Development Group, Hitachi, Ltd., Tokyo, Japan.
  • Watanabe Y; Research & Development Group, Hitachi, Ltd., Tokyo, Japan.
PLoS One ; 16(10): e0258892, 2021.
Article em En | MEDLINE | ID: mdl-34673839
ABSTRACT
Increasing road crashes related to occupational drivers' deteriorating health has become a social problem. To prevent road crashes, warnings and predictions of increased crash risk based on drivers' conditions are important. However, in on-road driving, the relationship between drivers' physiological condition and crash risk remains unclear due to difficulties in the simultaneous measurement of both. This study aimed to elucidate the relationship between drivers' physiological condition assessed by autonomic nerve function (ANF) and an indicator of rear-end collision risk in on-road driving. Data from 20 male truck drivers (mean ± SD, 49.0±8.2 years; range, 35-63 years) were analyzed. Over a period of approximately three months, drivers' working behavior data, such as automotive sensor data, and their ANF data were collected during their working shift. Using the gradient boosting decision tree method, a rear-end collision risk index was developed based on the working behavior data, which enabled continuous risk quantification. Using the developed risk index and drivers' ANF data, effects of their physiological condition on risk were analyzed employing a logistic quantile regression method, which provides wider information on the effects of the explanatory variables, after hierarchical model selection. Our results revealed that in on-road driving, activation of sympathetic nerve activity and inhibition of parasympathetic nerve activity increased each quantile of the rear-end collision risk index. The findings suggest that acute stress-induced drivers' fatigue increases rear-end collision risk. Hence, in on-road driving, drivers' physiological condition monitoring and ANF-based stress warning and relief system can contribute to promoting the prevention of rear-end truck collisions.
Assuntos

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Condução de Veículo / Acidentes de Trânsito / Veículos Automotores / Fadiga Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Male / Middle aged Idioma: En Revista: PLoS One Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Condução de Veículo / Acidentes de Trânsito / Veículos Automotores / Fadiga Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Male / Middle aged Idioma: En Revista: PLoS One Ano de publicação: 2021 Tipo de documento: Article