The Attention Network Test (ANT) measures choice response time (RT) and the efficiency of three functions of attention (alerting, orienting, and executive function). Using data from the Candrive cohort study, we looked for associations between overall median RT from the ANT and traffic violations. Participants (N = 451) were aged ≥70. Violations data were obtained from provincial ministries of transportation and dichotomized as the primary outcome measure (yeso). Our logistic regression included ANT median RT, gender, number of self-reported medical conditions, and self-reported kilometers driven (low = 1–10,000km/year, high = >10,000km/year) as explanatory variables. In the adjusted model, drivers with higher RT had greater odds of traffic violations (OR=1.32, p < .001) as did participants who drove greater distances (OR=2.67, p < .001). Gender and the number of medical conditions were not associated with violations. These results suggest the ANT may provide insight into cognitive processes supporting safe driving.
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机译：注意力网络测试（ANT）可以衡量选择响应时间（RT）和三种注意力功能（警报，定向和执行功能）的效率。使用来自Candrive队列研究的数据，我们寻找了来自ANT的总体中位RT与流量违规之间的关联。参与者（N = 451）年龄≥70。违规数据是从省交通运输部获得的，并被二等分作为主要结果指标（是/否）。我们的逻辑回归包括ANT中位数RT，性别，自我报告的医疗状况数量和自我报告的行驶公里数（低= 1–10,000 km /年，高=> 10,000 km /年）作为解释变量。在调整后的模型中，具有较高RT的驾驶员违反交通的几率更大（OR = 1.32，p <.001），与开车距离较远的参与者（OR = 2.67，p <.001）一样。性别和医疗条件的数量与违规无关。这些结果表明，ANT可以提供对支持安全驾驶的认知过程的洞察力。
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