Department of Optics and Optometry and Vision Sciences, University of Valencia, Valencia, Spain.
DATS (Development and Advising in Traffic Safety) Research Group, INTRAS (Research Institute on Traffic and Road Safety), University of Valencia, Valencia, Spain.
PLoS One. 2021 Feb 5;16(2):e0246606. doi: 10.1371/journal.pone.0246606. eCollection 2021.
The objective of this study was to assess and compare drivers' and non-drivers' outcomes in the Adult Developmental Eye Movement test (ADEM), a visual-verbal test that measures the time needed to read series of numbers in both a vertical and horizontal reading pattern. A set of driving parameters (i.e., experience, risk exposure, and day and night perceived difficulty) and demographic variables (i.e., age, gender, and academic level) were considered as potential predictors of the test performance.
For this cross-sectional study, 302 healthy subjects (age range 20 to 86 years old) completed a self-reported questionnaire aimed at retrieving data on the independent variables, and underwent the ADEM in order to obtain the dependent outcomes. 214 (70.9%) of the participants were drivers. Non-parametric analyses and multilevel linear regression were used to assess differences between the variables and a prediction model. Also, some correlations were evaluated through the Spearman test.
Drivers showed significantly better test performance than non-drivers. The age, driving experience, and perceived difficulty in driving at night were obtained as potential predictors of the test performance with the applied linear regression model.
The ADEM may be a practical, non-expensive, easy-to-apply tool in the assessment of drivers, useful for obtaining or renewing the driving license. This test may help in the detection of impairments in the saccadic efficiency that could have a detrimental effect on the driving performance.
本研究旨在评估和比较驾驶员和非驾驶员在成人发育眼动测试(ADEM)中的结果,该测试是一种视觉-语言测试,用于测量在垂直和水平阅读模式下阅读一系列数字所需的时间。一组驾驶参数(即经验、风险暴露以及白天和夜间感知的难度)和人口统计学变量(即年龄、性别和学历)被认为是测试表现的潜在预测因素。
在这项横断面研究中,302 名健康受试者(年龄范围 20 至 86 岁)完成了一份旨在检索独立变量数据的自我报告问卷,并接受了 ADEM 测试以获得依赖结果。214 名(70.9%)参与者为驾驶员。非参数分析和多级线性回归用于评估变量之间的差异和预测模型。此外,还通过 Spearman 检验评估了一些相关性。
驾驶员的测试表现明显优于非驾驶员。年龄、驾驶经验和夜间驾驶难度被认为是测试表现的潜在预测因素,应用线性回归模型得出。
ADEM 可能是一种实用、经济、易于应用的驾驶员评估工具,可用于获得或更新驾驶执照。该测试有助于检测扫视效率障碍,这可能对驾驶性能产生不利影响。