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Does Gender Moderate the Relationship between Driver Aggression and Demographic, General- and Driving-Related Risk Factors?

机译:性别是否会减轻驾驶员侵略性与人口,一般和与驾驶相关的风险因素之间的关系?

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Using data from a general-population telephone survey conducted from July 2002 through June2005 (n=6259), the current study assessed gender as a potential moderator of the relationshipbetween self-reported driver aggression and various demographic variables, general and drivingrelatedrisk factors. The initial analysis was a hierarchical-entry regression examining selfreporteddriver aggression in the last 12 months. All demographic and risk-factor variables wereentered in the first block, and all two-way interactions with gender were entered stepwise in thesecond block. A subsequent analysis divided the sample by gender and conducted logisticregressions with main effects only for males (n=2921) and females (n=3338) separately.Although the prevalence of driver aggression in the current sample was slightly higher amongmales (38.5%) than females (32.9%), the difference was small, and gender did not enter as asignificant predictor of driver aggression in the overall logistic regression. Gender was found tomoderate the relationships between driver aggression and only three variables: income,psychological distress, and driving exposure. Separate analyses on the male and female subsamplesalso found differences in the predictive value of income and driving exposure; however,the difference for psychological distress could not be detected using this separate regressionapproach. The secondary analysis also identified slight differences in the predictive value of fourof the risk factors, where the odds ratios for both males and females were in the same directionbut only one of the two was statistically significant. Thus, with few exceptions, factors that werepredictive of driver aggression were generally the same for both male and female drivers.
机译:使用2002年7月至6月进行的电话调查得出的数据 2005年(n = 6259),当前研究评估了性别作为这种关系的潜在调节者 自我报告的驾驶员攻击性与各种人口统计变量(一般和与驾驶相关)之间的差异 风险因素。最初的分析是检查自我报告的等级进入回归 过去12个月中的驾驶员侵略行为。所有人口和风险因素变量均为 在第一个区块中输入,所有与性别的双向互动都在 第二块。随后的分析按性别对样本进行了划分,并进行了物流 仅对男性(n = 2921)和女性(n = 3338)具有主要影响的回归。 尽管当前样本中驾驶员侵略的患病率略高 男性(38.5%)比女性(32.9%),差异很小,并且性别不以男性为准 总体logistic回归中驾驶员侵略性的重要预测指标。发现性别 调节驾驶员侵略性与仅三个变量之间的关系:收入, 心理困扰和驾驶暴露。分别对男性和女性子样本进行分析 还发现收入和驾驶风险的预测价值存在差异;然而, 使用此单独的回归无法检测到心理困扰的差异 方法。次要分析还确定了四个指标的预测值之间的细微差异 的风险因素,其中男性和女性的比值比在同一方向 但两者中只有一个具有统计意义。因此,除了少数例外, 男性驾驶员和女性驾驶员对驾驶员侵略性的预测通常相同。

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