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Table 1 Depression and overall crash rate

From: Depression, antidepressants and driving safety

Lead Author

Year of Publication

Country

Sample Size

Methodology (data collection period)

Confounders

Findings

(Rainio et al. 2007)

2007

Finland

542 crashes, 640

crash deaths

Retrospective review of crashes, autopsy records (2001, 2002)

Adjusted: Age, survival from accident, driver/passenger status

Non-Adjusted: Retrospective review of medical records; surviving non-A parties and passengers excluded as controls; no medication data were included in analyses; incidence of undiagnosed depression or other psychiatric disorders is unknown

Of fatal crashes, 6.4% of killed A-parties, (key driver), 3.9% of surviving A-parties (key survivor) and 1.5% of killed non-A-parties (non-key driver) had depression; 0% of killed passengers had depression

(Sagberg 2006)

2006

Norway

4448 crash involved drivers

Self-report questionnaire of drivers in the last 6 months (no year reported)

Adjusted: Gender, age, driving distance, other involved road user, crash type, responsible for multiple vehicle crashes

Non-Adjusted: Low response rate; biased or under-reporting from self-reports; self-report of depressive symptoms not confirmed; exclusion of diseases such as epilepsy

“Feeling blue, depressed” on self-report had OR of 2.43 of being at fault, p = .03

(Mann et al. 2010)

2010

Canada

4935 adult drivers

Cross-sectional phone survey

(2002-2004)

Adjusted: Alcohol and cannabis lifetime and recent use; driving exposure and stressful driving environment

Non-Adjusted: Driving exposure and collision involvement measured by self-report; no report of medication use for depression; comorbid psychiatric or medical conditions not captured

Risk of collision involvement increased with each unit of depression-anxiety score using General Health Questionnaire (GHQ-12) (OR = 1.05, CI: 101-1.09)

(Wickens et al. 2013)

2013

Canada

12,830

Telephone survey; motor vehicle accidents in past 12 months (conducted between 2002-2009)

Adjusted: Age, gender, driving exposure, driving after alcohol or cannabis use

Non-Adjusted: Biased or under-reporting from self-reports; no report of medication use for depression and anxiety disorders; driving after use of substances other than alcohol or cannabis not studied

Self-report of collision involvement of those with probable mood and anxiety disorder had OR = 1.78

(CI: 1.37, 2.31)

(Margolis et al. 2002)

2002

US

1416 women 65-84

Prospective analysis of older drivers (1991-1996)

Adjusted: Driving miles per week, number of motor vehicle crashes; use of medications and alcohol; functional status, visual acuity; previous history of falls

Non-Adjusted: Sample limited to white women aged 65 years and older and living in Portland, OR; comorbid psychiatric conditions not captured; cases limited to motor vehicle crashes that resulted in a police report

Depression did not predict crash (only 3.4% of participants had depression per Geriatric Depression Scale)

(Sims et al. 2000)

2000

US

174 older adults; 61 subjects had crashes during study period

Prospective analysis of incident crash (1991-1992)

Adjusted: Age, race, gender, days per week driven

Non-Adjusted: Small sample size; biased or under-reporting from self-reports of health status, medical diagnoses and medications; adherence to medications unknown; mileage driven were extrapolated based on average annual driving miles reported by subjects

6.9% of sample had Geriatric Depression Scale ≥16; which increased risk of crash (RR = 2.53,CI:1.08-5.95, p = 0.03)

(LeRoy & Morse 2008)

2008

US

81,408 cases and 244,224 age-, sex-and date-matched controls

Case-Control (1998-2002)

Adjusted: Age, gender, 6 months of coverage.

Non adjusted: medical diagnosis and medication relationship.

OR = 3.99 (CI:3.19, 4.99), p < .001

  1. OR odds ratio, CI confidence interval, RR relative risk