ArticleJAMA network open2024
Major Depressive Disorder and Driving Behavior Among Older Adults.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Tau pathology and depression interact to accelerate driving decline in cognitively normal older adults.Molecular psychiatry · 2026Article
- Evaluating and Determining the Effects of Psychotropic Drugs on Motor Vehicle Driving Performance: Key Considerations of the Japanese Guideline and Criteria for Clinical Implementation of Evidence.Neuropsychopharmacology reports · 2026Review
- White Matter Hyperintensity Burden and Decline in Driving Performance Among Older Adults.JAMA network open · 2026Article
- Detection and functional assessment of D-amino acids as potential biomarkers in neurological disorders.Molecular biology reports · 2025Review
- Navigating a Misty Road: Novel Ways to Study the Impact of Cognition on Driving Performance in Multiple Sclerosis.Brain sciences · 2025Review
- Identifying major depressive disorder in older adults through naturalistic driving behaviors and machine learning.NPJ digital medicine · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Importance: Depression and antidepressant use are independently associated with crash risk among older drivers. However, it is unclear what factors impact daily driving that increase safety risk for drivers with depression. Objective: To examine differences in naturalistic driving behavior and safety between older adults with and without major depressive disorder (MDD). Design, Setting, and Participants: A prospective longitudinal cohort study was conducted among older adults (≥65 years) from the Driving Real-World In-Vehicle Evaluation System Project collected from July 1, 2021, to December 30, 2023. The sample included 85 participants with MDD and 310 participants without. Neurological, clinical, mood, and neuropsychological tests were collected annually. Daily driving behavior was recorded using a commercial data logger. Statistical analysis was performed from January 31 to June 24, 2024. Exposure: MDD and antidepressant usage. Main outcomes and measures: Linear mixed models with propensity score weighting compared slopes of driving behaviors over time (trips taken at night, speeding, hard braking, entropy, and radius of gyration) between groups. Results: In a sample of 395 participants, 85 were classified as individuals with MDD (mean [SD] age, 69.6 [6.1] years; 60 [70.6%] female; 8 [9.4%] non-Hispanic Black and 77 [90.6%] non-Hispanic White) and 310 as individuals in the control group without depression (mean [SD] age, 70.1 [5.1] years; 153 [49.4%] female; 40 [12.9%] non-Hispanic Black and 270 [87.1%] non-Hispanic White). Adults with MDD had greater depressive symptoms (mean [SD], 8.35 [5.35] vs 2.33 [2.72]; difference, 6.02; 95% CI for difference, 5.17 to 6.85; P < .001), comorbidities (mean [SD], 4.08 [2.07] vs 2.79 [1.67]; difference, 1.29; 95% CI for difference, 0.87 to 1.70; P < .001), used more antidepressants (mean [SD], 0.94 [0.81] vs 0.27 [0.54]; χ21 = 65.8; P < .001), and had a higher number of medications (mean [SD], 3.80 [3.27] vs 1.98 [2.21]; χ21 = 21.0; P < .001) compared with controls at baseline. Longitudinal analysis demonstrated an association between adults with MDD and hard braking (mean [SE], 3.17 × 10-4 [7.30 × 10-5] vs 6.70 × 10-5 [4.00 × 10-5]; difference, 2.50 × 10-4; 95% CI for difference, 1.74 × 10-4 to 4.61 × 10-4; P < .001) and hard cornering events per trip (mean [SE], 0.80 [0.64] vs 0.57 [0.25]; difference, 0.23; 95% CI for difference, 0.08 to 1.06; P = .04), greater distances driven from home (mean [SE], 31.19 [7.35] vs 7.76 [3.80] km; difference, 23.43; 95% CI for difference, 0.28 to 15.2; P < .001), more unique destinations visited (mean [SE], 0.34 [0.10] vs -0.27 [0.03]; difference, 0.61; 95% CI for difference, 0.14 to 0.54; P < .001), and higher random entropy (mean [SE], 0.01 [0.01] vs -0.02 [0.00]; difference, 0.03; 95% CI for difference, -0.03 to -0.01; P < .001) over time. Conclusions and relevance: In this longitudinal cohort study of older drivers, adults with MDD demonstrated distinct and riskier driving behaviors than those in the control group without depression, with higher rates of hard braking, cornering, and unpredictability in driving patterns over time. Routine depression screening and tailored interventions are essential for enhancing driving safety and maintaining independence among older adults with MDD. Comprehensive care approaches addressing both mental and physical health are crucial for this vulnerable population.
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