As individuals age and become aware of changes in their driving capabilities, they are more likely to self-regulate their driving by avoiding certain driving situations (i.e., night driving, rush hour traffic, etc.). In this paper, we sought to examine the correlates of situational driving avoidance with a particular emphasis on the roles of personality traits, gender, and cognition within a large sample of mid-life and older adults from the Canadian Longitudinal Study on Aging (CLSA). Our findings show that women of older ages tend to report more driving avoidance and that personality traits, specifically extraversion, emotional stability, and openness to experience, may reduce driving avoidance. A negative association was also found between cognition and driving avoidance, such that individuals with higher cognition reported less driving avoidance.

The purpose of this study was to examine whether vehicle type based on size (car vs. other = truck/van/SUV) had an impact on the speeding, acceleration, and braking patterns of older male and female drivers (70 years and older) from a Canadian longitudinal study. The primary hypothesis was that older adults driving larger vehicles (e.g., trucks, SUVs, or vans) would be more likely to speed than those driving cars. Participants (n = 493) had a device installed in their vehicles that recorded their everyday driving. The findings suggest that the type of vehicle driven had little or no impact on per cent of time speeding or on the braking and accelerating patterns of older drivers. Given that the propensity for exceeding the speed limit was high among these older drivers, regardless of vehicle type, future research should examine what effect this behaviour has on older-driver road safety.

Using an online survey, we examined the knowledge, attitudes, and practices with respect to older driver safety concerns of clinical psychologists from across Canada who self-identified as working with at least some drivers over 60 years of age. Eighty-four psychologists completed the survey, and many were aware of the issues relevant to older driver safety, although only about half reported that assessing fitness to drive was an important issue in their practice. The majority (75%) reported that they would benefit from education concerning evaluation of fitness to drive. The primary recommendation emerging from this investigation is to increase efforts to inform and educate psychologists about driving-related assessment and regulatory issues in general, and specifically with respect to older adults. As the population ages, it is of growing importance for all health care providers to understand the influence of mental health conditions—including cognitive impairment and dementia—on driving skills.

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.

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.

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.

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.

Although decisions related to driving are vital to well-being in later life, little is known about how aging drivers who do not experience a medical condition that requires driving cessation regulate their driving. This exploratory, qualitative study used focus groups with 79 such community-dwelling individuals to examine driving self-regulation from the perspective of pre-senior (aged 55–64) drivers, senior (aged 65 years or over) drivers, and senior ex-drivers. Themes resulting from inductive analysis addressed the importance of driving, mechanisms of self-monitoring and self-regulation, people who influenced decision making, and opinions regarding licensing regulations. A preliminary model of the process of self-regulation that highlights intrapersonal, interpersonal, and environmental influences on why, how, and when aging drivers adapt or cease driving is presented. The model identifies areas for future research to enhance understanding of this process, including the effectiveness of self-regulation. Findings suggest that increased public awareness of issues related to driving and aging could assist aging drivers, their families, and their family physicians in optimizing driving safety for this population. Since a near accident or accident was seen as the only factor that would lead many informants to stop driving and few informants planned for driving cessation, there is a need for interventions that help aging drivers make the transition to ex-driver in a timely and personally acceptable way.