Cross-sectional Study Investigating Texting and Driving in Grenada, West Indies

James A Ducey, Ryan Malave, Iman Zahedi, Emmanual Keku, S. Bidaisee
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Abstract

Objective Conduct a cross-sectional study to gather data regarding texting while driving behaviors, identify vulnerable populations, as well as assess public opinions about receptiveness to interventions in Grenada, West Indies. This will inform efforts to curb motor vehicle accidents (MVAs) locally. Design and Methods An anonymous 16-item questionnaire assessing cell phone usage while driving was answered by Grenadian drivers recruited from across Grenada. The survey assessed incidence and prevalence of texting while driving, frequency of MVAs involving texting, participant risk perception, demographic data, as well as which interventions are perceived to be effective in reducing texting while driving. Drivers were approached in public car parks and roadsides by the study researchers to obtain their participation. From 191 survey responses, mean age was 37.05 ±10.038 years. 50.3% admitted to texting while driving. Statistically significant between group differences were documented with variables of gender (females comprise 59% of never texted group vs. comprising only 40% of texting while driving group, p=0.009), mean age (Never texted group39.3 years ± 11 vs. Texted while driving group 34.9 years ± 8, 0.003), and knowing anyone involved in a MVA due to texting while driving (texted while driving group 26% vs never texted group 5%, p≤0.001). of effects to these groups, safer technologies, as well as legislation may mitigate texting while driving’s consequence in Grenada.
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横断面研究调查发短信和驾驶在格林纳达,西印度群岛
目的在西印度群岛格林纳达进行一项横断面研究,收集有关驾驶时发短信行为的数据,确定弱势群体,并评估公众对干预措施的接受程度。这将为当地遏制机动车事故(MVAs)的努力提供信息。设计与方法从格林纳达各地招募的格林纳达司机填写了一份16项匿名调查问卷,评估驾驶时使用手机的情况。该调查评估了开车时发短信的发生率和流行程度、涉及发短信的MVAs频率、参与者的风险感知、人口统计数据,以及哪些干预措施被认为对减少开车时发短信有效。研究人员在公共停车场和路边接触司机,以获得他们的参与。191份调查问卷的平均年龄为37.05±10.038岁。50.3%的人承认在开车时发短信。性别(女性占从不发短信组的59%,而开车时发短信组仅占40%,p=0.009)、平均年龄(从不发短信组39.3岁±11岁,开车时发短信组34.9岁±8岁,0.003),以及是否有人因开车时发短信而涉及车祸(开车时发短信组26%,从不发短信组5%,p≤0.001)等变量记录了组间差异的统计学意义。在格林纳达,更安全的技术以及立法可能会减轻边开车边发短信对这些群体的影响。
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