With an increasing number of older drivers who are prescribed antidepressants, the potential consequences of antidepressant use on driving skills in an aging population are becoming a pressing issue. We conducted a systematic review using MEDLINE, targeting articles specifically pertaining to antidepressants and driving in a population or subgroup of older adults (≥ 55 years of age). The search yielded 267 references, nine of which pertained to the effects of antidepressants on driving in older adults. The single experimental study found imipramine to have detrimental effects on highway driving, whereas nefazodone did not. Seven of eight population-based studies reported a significant increased risk of involvement in a collision associated with antidepressant use. Although the studies indicated a negative effect of antidepressants on driving, the epidemiological designs cannot exclude the possibility that the underlying illness, generally major depression, is the culprit.

This study examined a cohort of 227 older drivers and investigated the relationship between performance on the electronic Driver Observation Schedule (eDOS) driving task and: (1) driver characteristics; (2) functional abilities; (3) perceptions of driving comfort and abilities; and (4) self-reported driving restrictions. Participants (male: 70%; age: M = 81.53 years, SD = 3.37 years) completed a series of functional ability measures and scales on perceived driving comfort, abilities, and driving restrictions from the Year 2 Candrive/Ozcandrive assessment protocol, along with an eDOS driving task. Observations of participants’ driving behaviours during the driving task were recorded for intersection negotiation, lane-changing, merging, low-speed maneuvers, and maneuver-free driving. eDOS driving task scores were high (M = 94.74; SD = 5.70) and significantly related to participants’ perceived driving abilities, reported frequency of driving in challenging situations, and number of driving restrictions. Future analyses will explore potential changes in driving task scores over time.

To date, associations between psychosocial driving variables and behaviour have been examined only cross-sectionally. Using three waves of data collected annually from 928 older drivers (mean age = 76.21 years; 62% male) enrolled in the Candrive II cohort, we examined in this study whether changes in attitudes and perceptions towards driving (decisional balance and day and night driving comfort) were associated with changes in older adults’ reported restrictions in driving practices and perceived driving abilities. Multi-level models revealed that older adults who showed an increase in negative attitudes towards driving over time were more likely to report more-restricted practices (greater avoidance of challenging driving situations) and perceived declines in driving abilities compared to individuals whose attitudes towards driving remained stable across two years. This work supports previous findings and offers a new understanding of how attitudes relate to driving perceptions (e.g., comfort) and self-regulation in older adults over time.

We examined the relations between perceived health (e.g., self-perceived health status) and driving self-regulatory practices (e.g., frequency of driving, avoiding challenging driving situations) as mediated by driving attitudes and perceptions (i.e., driving comfort, positive and negative attitudes towards driving) in data collected for 928 drivers aged 70 and older enrolled in the Candrive II study. We observed that specific attitudes towards driving (e.g., driving comfort, negative attitudes towards driving) mediate the relations between health symptoms and self-regulatory driving behaviours at baseline and over time. Only negative attitudes towards driving fully mediated the relationships between changes in perceived health symptoms and changes in driving behavior. Perceived health symptoms apparently influence the likelihood of avoiding challenging driving situations through both initial negative attitudes towards driving as well as changes in negative attitudes over time. Understanding influences on self-regulatory driving behaviours will be of benefit when designing interventions to enhance the safety of older drivers.

The purpose of this study was to determine if season or weather affected the objectively measured trip distances of older drivers (≥ 70 years; n = 279) at seven Canadian sites. During winter, for all trips taken, trip distance was 7 per cent shorter when controlling for site and whether the trip occurred during the day. In addition, for trips taken within city limits, trip distance was 1 per cent shorter during winter and 5 per cent longer during rain when compared to no precipitation when controlling for weather (or season respectively), time of day, and site. At night, trip distance was about 30 per cent longer when controlling for season and site (and weather), contrary to expectations. Together, these results suggest that older Canadian drivers alter their trip distances based on season, weather conditions, and time of day, although not always in the expected direction.

The number of older drivers will continue to increase as the population ages. Health care professionals have the responsibility of providing care and maintaining confidentiality for their patients while ensuring public safety. This article discusses the ethics of clinical decision-making pertaining to reporting health-related driving risk of older drivers to licensing authorities. Ethical considerations inherent in reporting driving risk, including autonomy, confidentiality, therapeutic relationships, and the uncertainty about determining individual driving safety and risk, are discussed. We also address the moral agency of reporting health-related driving risk and raise the question of whose responsibility it is to report. Issues of uncertainty surrounding clinical reasoning and concepts related to risk assessment are also discussed. Finally, we present two case studies to illustrate some of the issues and challenges faced by health care professionals as they seek to balance their responsibilities for their patients while ensuring road safety for all citizens.

We hypothesized that changes over time in cognitive performance are associated with changes in driver perceptions, attitudes, and self-regulatory behaviors among older adults. Healthy older adults (n = 928) underwent cognitive assessments at baseline with two subsequent annual follow-ups, and completed scales regarding their perceptions, attitudes, and driving behaviours. Multivariate analysis showed small but statistically significant relationships between the cognitive tests and self-report measures, with the largest magnitudes between scores on the Trails B cognitive task (seconds), perceptions of driving abilities (β = –0.32), and situational driving avoidance (β = 0.55) (p < 0.05). Cognitive slowing and executive dysfunction appear to be associated with modestly lower perceived driving abilities and more avoidance of driving situations over time in this exploratory analysis.

In this study, we examined the Candrive baseline data (n = 928; aged 70 to 94; 62% were men) to determine whether driver characteristics (i.e., age, gender, height, weight, BMI) and certain functional abilities (i.e., Rapid Paced Walk, Timed Up and Go) influenced the types of vehicles driven. There were significant differences with respect to type of vehicle and mean driver age (F = 3.58, p = 0.003), height, (F = 13.32, p < 0.001), weight (F = 14.31, p < 0.001), and BMI (F = 4.40, p = 0.001). A greater proportion of drivers with osteoporosis (χ2 = 21.23, p = 0.020) and osteo/rheumatoid arthritis (χ2 = 21.23, p = 0.020) drove small and medium-sized cars compared to larger ones. Further research is needed to examine older driver-vehicle interactions, and the relationship to demographics and functional abilities, given the vulnerability of this age group to automotive-related injuries.

We investigated whether convenience sampling is a suitable method to generate a sample of older drivers representative of the older-Canadian driver population. Using equivalence testing, we compared a large convenience sample of older drivers (Candrive II prospective cohort study) to a similarly aged population of older Canadian drivers. The Candrive sample consists of 928 community-dwelling older drivers from seven metropolitan areas of Canada. The population data was obtained from the Canadian Community Health Survey – Healthy Aging (CCHS-HA), which is a representative sample of older Canadians. The data for drivers aged 70 and older were extracted from the CCHS-HA database, for a total of 3,899 older Canadian drivers. Two samples were demonstrated as equivalent on socio-demographic, health, and driving variables that we compared, but not on driving frequency. We conclude that convenience sampling used in the Candrive study created a fairly representative sample of Canadian older drivers, with a few exceptions.

This proof-of-concept pilot study explored virtual simulation methodology to quantify blind-spot line-of-sight using avatars derived from an older driver database (n = 100). Siemens Jack software simulated the blind spots of eight older driver avatars (four female). The male and female avatars were scaled to be small (25th percentile) and large (75th percentile) based on the height distribution for the older driver database, and had either “normal” (65 degrees) or “abnormal” (50 degrees) neck range of motion (ROM). A virtual model of a Volkswagen Beetle was used to illustrate left and right blind-spot line-of-sight for each avatar. Average line-of-sight between blind spots was 22.3 per cent and 10.4 per cent in the “normal” and “abnormal” rotational neck ROM conditions, respectively. Older drivers with functional impairments affecting neck ROM are more likely to have problems with left blind-spot line-of-sight. Findings are discussed with regard to vehicle design considerations for older adults.