Kamari Ghanavati Fatemeh, Jahangiri Mehdi, Khalifeh Maryam, Keshavarzi Sareh, Shakerian Mahnaz
Research Center for Health Sciences, Department of Occupational Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.Email:
J Inj Violence Res. 2018 Jan;10(1):3-10. doi: 10.5249/jivr.v10i1.895. Epub 2017 Nov 1.
Unsafe behaviors are main causes of accidents mostly influenced by personal characteristics, social environment and also individual biorhythm cycles. This study was carried out to find out whether personality traits and biorhythm could affect the incidence of unsafe behaviors among city bus drivers.
This cross-sectional study was conducted on 224 bus drivers in Shiraz, Iran, 2014. The data were collected using NEO personality traits questionnaire. Also, a self-constructed checklist was used to investigate the drivers' unsafe behaviors. Information on drivers' biorhythm was analyzed by Natural Biorhythm software version 3.2. The relationship between demographic characteristics, personality traits and biorhythm were examined by T-Test, One-way ANOVA, correlation coefficient and Chi square tests. Multiple linear regression analysis was used to investigate the factors influencing the incidence of unsafe behaviors.
28.6% of participants have experienced critical days in their biorhythm cycles. Also the mean percentage of unsafe behavior was 54.08 ± 11.91 among the subjects of the study.Significantly negative correlations were observed between each personality factor and the percentage of unsafe behaviors. Also, there was a significant relationship between percentage of derivers' unsafe behaviors and the general cycle of biorhythm (having at least one critical day in each of the cycles).
Taking the measures including selection of low-risk traffic routes in the critical days and considering the personality traits at the time of employment could be effective in reducing the unsafe behaviors and accidents.
不安全行为是事故的主要原因,主要受个人特征、社会环境以及个体生物节律周期的影响。本研究旨在探讨人格特质和生物节律是否会影响城市公交车司机不安全行为的发生率。
2014年,在伊朗设拉子对224名公交车司机进行了这项横断面研究。使用NEO人格特质问卷收集数据。此外,还使用自行编制的清单来调查司机的不安全行为。通过自然生物节律软件3.2版分析司机生物节律的信息。通过T检验、单因素方差分析、相关系数和卡方检验来检验人口统计学特征、人格特质和生物节律之间的关系。采用多元线性回归分析来研究影响不安全行为发生率的因素。
28.6%的参与者在其生物节律周期中经历过临界日。在本研究对象中,不安全行为的平均百分比为54.08±11.91。在每个人格因素与不安全行为百分比之间观察到显著的负相关。此外,司机不安全行为的百分比与生物节律的总周期(每个周期至少有一个临界日)之间存在显著关系。
采取包括在临界日选择低风险交通路线以及在雇佣时考虑人格特质等措施,可能有助于减少不安全行为和事故。