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基于健康信念模型的安全驾驶行为预测:以伊朗阿巴斯港的出租车司机为例。

Prediction of safe driving Behaviours based on health belief model: the case of taxi drivers in Bandar Abbas, Iran.

机构信息

Social Determinants on Health Promotion Research Center, Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.

Department of Health Education and Health Promotion, Health School, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.

出版信息

BMC Public Health. 2018 Mar 20;18(1):380. doi: 10.1186/s12889-018-5300-5.

Abstract

BACKGROUND

Road accidents are among the main causes of mortality. As safe and secure driving is a key strategy to reduce car injuries and offenses, the present research aimed to explore safe driving behaviours among taxi drivers based on the Health Belief Model (HBM).

METHODS

This study was conducted on 184 taxi drivers in Bandar Abbas who were selected based on a multiple stratified sampling method. Data were collected by a questionnaire comprised of a demographic information section along with the constructs of the HBM. Data were analysed by SPSS ver19 via a Pearson's correlation coefficient and multiple regressions.

RESULTS

The mean age of the participants was 45.1 years (SD = 11.1). They all had, on average, 10.3 (SD = 7/5) years of taxi driving experience. Among the HBM components, cues to action and perceived benefits were shown to be positively correlated with safe driving behaviours, while perceived barriers were negatively correlated. Cues to action, perceived barriers and perceived benefits were shown to be the strongest predictors of a safe drivers' behaviour.

CONCLUSIONS

Based on the results of this study in designing health promotion programmes to improve safe driving behaviours among taxi drivers, cues to action, perceived benefits and perceived barriers are important. Therefore, advertising, the design of information campaigns, emphasis on the benefits of safe driving behaviours and modification barriers are recommended.

摘要

背景

道路交通事故是导致死亡的主要原因之一。由于安全驾驶是减少汽车事故和违规行为的关键策略,因此本研究旨在基于健康信念模型(HBM)探讨出租车司机的安全驾驶行为。

方法

本研究在阿巴斯港对 184 名出租车司机进行了研究,采用多分层抽样法进行了选择。通过包含 HBM 结构的问卷收集数据。使用 SPSS ver19 通过 Pearson 相关系数和多元回归分析来分析数据。

结果

参与者的平均年龄为 45.1 岁(SD=11.1)。他们的平均驾驶出租车经验为 10.3 年(SD=7/5)。在 HBM 成分中,行动线索和感知益处与安全驾驶行为呈正相关,而感知障碍呈负相关。行动线索、感知障碍和感知益处被证明是安全驾驶行为的最强预测因素。

结论

基于这项研究在设计健康促进计划以提高出租车司机安全驾驶行为方面的结果,行动线索、感知益处和感知障碍很重要。因此,建议进行宣传、设计信息宣传活动、强调安全驾驶行为的益处和修改障碍。

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