Functional Assessments, Safety Outcomes, and Driving Exposure Measures for Older Drivers

Staplin, Loren; Lococo, Kathy H.; Gish, Kenneth W.; Joyce, John · 2012 · ROSA P / United States. National Highway Traffic Safety Administration

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Summary

This report evaluates the predictive validity of functional assessments for driving safety outcomes among older adults and compares methods for measuring driving exposure. The research addresses two primary objectives: determining which cognitive, visual, and psychomotor measures best predict crashes and serious moving violations in drivers aged 70 and older, and assessing the reliability of self-reported driving exposure data compared to objective instrumentation. The study involved two components. Study 1 assessed 692 drivers recruited from Maryland Motor Vehicle Administration offices between September 2008 and June 2009. Participants completed a 30-minute battery of computer-based and physical tests measuring visuospatial ability, processing speed, divided attention, visual search, working memory, executive function (maze performance), contrast sensitivity, and brake reaction time. Researchers then analyzed state records for crashes and serious point violations occurring within 18 months post-assessment. Study 2 utilized a subsample of 10 drivers who participated in a naturalistic driving study for one month. This group provided data from three sources: an On-Board Diagnostic (OBD) module installed in their vehicles, immediate post-trip logs, and retrospective self-report questionnaires (Driving Preferences Instrument). In Study 1, univariate and multivariate analyses identified specific functional deficits as significant predictors of safety outcomes. Executive function, measured by the time required to complete a computer-based maze task, emerged as the strongest predictor. Performance on the easiest maze version significantly predicted crash involvement, while a combination of maze tests predicted crashes with high significance. This measure also predicted serious moving violations. Other significant predictors included contrast sensitivity (with a identified cutpoint of 1.4 log contrast sensitivity) and visual search with divided attention, measured via a computerized Trail-Making Test Part B (cutpoint of 130 seconds). Additionally, false alarms on a choice brake response task were the only significant predictor of intersection crashes, with drivers making at least two errors being three times more likely to be involved in such crashes. In Study 2, the comparison of exposure measurement methods revealed that immediate trip logs correlated strongly with objective OBD data (r > 0.90). In contrast, retrospective self-report questionnaires showed weak correlations with OBD records and exhibited inconsistent patterns of over- and under-reporting. The findings suggest that while objective instrumentation is ideal, structured immediate self-reports are a reliable and cost-effective alternative for measuring driving exposure, whereas memory-based estimates are unreliable. The study concludes that computer-based maze tests and specific visual/cognitive cutpoints offer valuable tools for clinical screening and early warning systems for driving impairment in older adults.

Key finding

Maze completion time significantly predicted crash involvement and serious moving violations, while structured trip logs correlated strongly with objective on-board diagnostic data compared to unreliable self-reported estimates.

Methodology

mixed_methods

Sample size: 692

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extract success cached 2 2026-06-10
clean success 1 2026-06-01
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enrich success 1 2026-05-23
promote success 1 2026-05-23
summarize success llm qwen3.6-27b-prismaquant summ-v5 3 2026-06-10
tag success vector_similarity 19 2026-06-11
verify success 2 2026-06-10

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