Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study
DOI: 10.1186/s40621-020-00265-y
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Summary
This study investigates the relationship between medication use and driving safety behaviors in older adults, addressing the concern that polypharmacy and specific drug classes may impair driving ability. While older drivers generally have lower crash rates than younger counterparts, they are more likely to take multiple medications with potential side effects such as drowsiness or confusion. The research aims to characterize these associations using objective driving data combined with comprehensive medication reviews. The analysis utilized data from the five-site Longitudinal Research on Aging Drivers (LongROAD) cohort study. Participants were active drivers aged 65–79 years recruited from healthcare systems in five U.S. states. Medication data were collected via a “brown-bag review” at baseline, where participants brought all prescription and non-prescription drugs for coding using the American Hospital Formulary Service (AHFS) system. Driving behavior was objectively measured using GPS accelerometers installed in participants’ primary vehicles, recording data for 12 months. Key driving outcomes included rapid deceleration events (hard braking), speeding events, and the ratio of right-to-left turns (an indicator of avoiding risky left turns across oncoming traffic). Statistical analyses, including linear regression adjusted for demographic covariates, examined the association between medication classes and these driving metrics. The study included 2,949 participants with medication data, who reported a median of seven medications each. The total number of medications taken was significantly associated with a higher rate of rapid decelerations. Specific medication classes showed distinct associations with driving behaviors: Central Nervous System (CNS) agents were linked to increased speeding events; hormones and gastrointestinal medications were associated with more rapid decelerations; electrolyte medications were associated with fewer rapid decelerations; and antihistamines were linked to a higher right-to-left turn ratio, suggesting greater avoidance of left turns. The most commonly used medication categories were cardiovascular drugs, vitamins, and CNS agents. The findings indicate that older adults take substantial quantities of medications that may influence driving safety. Certain drug classes, particularly CNS agents, hormones, and gastrointestinal medications, are associated with potentially adverse driving patterns like speeding and hard braking, while electrolytes and antihistamines may correlate with more cautious maneuvers. The authors conclude that while the mechanisms remain unclear and confounding by underlying medical conditions is possible, these associations highlight the need for further research to identify and mitigate medication-related driving risks. The results suggest that clinicians should consider driving safety when prescribing medications for older adults, as current counseling on this topic is insufficient.
Key finding
Higher total medication use and specific classes such as central nervous system agents, hormones, and gastrointestinal medications were significantly associated with adverse driving patterns like increased rapid deceleration and speeding in older drivers.
Methodology
naturalistic
Sample size: 2990
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via author_sweep_intake on 2026-05-27 (2 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 3 | 2026-05-28 |
| archive | success | canonical_url | — | — | 1 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-04 |
| chunk | success | chunk | — | — | 1 | 2026-06-04 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-04 |
| enrich | skipped | — | — | — | 3 | 2026-06-04 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Empirical Findings: observational prevalence