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Falls in older adults are associated with increased motor vehicle crash risk, possibly mediated by driving behavior. We examined the relationship of falls and fear of falling (FOF) with subsequent objectively measured driving habits.This multi-site, prospective cohort study enrolled 2990 active drivers aged 65-79 (53% female). At enrollment, we assessed falls in the past year and FOF (Short Falls Efficacy Scale-International). Driving outcomes included exposure, avoidance of difficult conditions, and unsafe driving during one-year follow-up, using in-vehicle Global Positioning System devices.Past-year falls were associated with more hard braking events (HBE). High FOF was associated with driving fewer days, miles, and trips, driving nearer home and more HBE. Differences were attenuated and not significant after accounting for health, function, medications and sociodemographics.Differences in objectively measured driving habits according to past-year fall history and FOF were largely accounted for by differences in health and medications. Rather than directly affecting driving, falls and FOF may serve as markers for crash risk and reduced community mobility due to age-related changes and poor health.

Introduction Fall fatality rates among U.S. older adults increased 30% from 2007 to 2016. In response, the Centers for Disease Control and Prevention developed the Stopping Elderly Accidents, Deaths, and Injuries algorithm for fall risk screening, assessment, and intervention. The current Stopping Elderly Accidents, Deaths, and Injuries algorithm with 2 levels (at risk and not at risk) was adapted to an existing cohort of older adult drivers. Methods A U.S. multisite prospective cohort (N=2,990) of drivers (aged 65–79 years), from 2015 to 2017, was used for these analyses completed in January 2020–October 2020. To measure the adapted Stopping Elderly Accidents, Deaths, and Injuries key questions for fall risk screening performance in predicting future falls, adjusted logistic regression determined the area of the receiver operating characteristic curve. An adjusted mixed logistic regression modeled the association between the adapted Stopping Elderly Accidents, Deaths, and Injuries key questions and future falls. Results The adapted Stopping Elderly Accidents, Deaths, and Injuries key questions yielded an area under the curve of 0.65 in determining any fall over 2 years. The adjusted mixed logistic regression model suggests that those at risk for falls at baseline were associated with 2.37 times higher odds of any fall (95% CI=2.00, 2.80) and 3.60 times higher odds of multiple falls (95% CI=2.88, 4.51) over 2 years. Conclusions The adapted Stopping Elderly Accidents, Deaths, and Injuries key questions for fall risk screening yielded fair predictive ability for falls over 2 years and were strongly associated with future falls for older adult drivers. The adapted Stopping Elderly Accidents, Deaths, and Injuries key questions can be applied to existing data in nonclinical settings to strengthen fall screening and prevention at a population level.

Older adults are at risk of driving cessation as they age, which can result in negative health outcomes including loss of independence. This study aimed to investigate the associations of self-care health behaviors with the risk of driving cessation. Demographics, health and driving characteristics were captured from healthcare systems in Denver, CO, San Diego, CA, Ann Arbor, MI, Baltimore, MD and Cooperstown, NY for 2,990 adults at baseline then followed from July 2015 to January 2021 via in-person assessments and questionnaires. The follow-up accumulated a total of 7,348 person-years and 46 driving cessations, yielding an incidence rate of 0.63 per 100 person-years. Multivariable Cox proportional hazards regression was used to evaluate the relationship between self-care behaviors and driving cessation, stratified by gender, and accounting for multiple failure events and clustering by study site. Ability to participate in social roles and activities was associated with an 8% reduction in the risk of driving cessation [adjusted hazard ratio (HR): 0.92; 95% CI: 0.89, 0.94]. Increased participation in social activities and relationships is associated with driving longevity in older adults and should be targeted for interventions to maintain driving mobility.

The COVID-19 pandemic has drastically affected our day-to-day life in the last few years. This problem becomes even more challenging when older adults are considered due to their less powerful immune system and vulnerability to infectious diseases, especially in Florida where 4.5 million people aged 65 and over reside. With its long coastline, large and rapidly growing of older adult population, and geographic diversity, Florida is also uniquely vulnerable to hurricanes, which significantly increases the associated risks of COVID-19 even further. This study investigates older adults' evacuation-related concerns during COVID-19 using statistical analysis of a questionnaire conducted among 389 older adult Florida residents. The questionnaire includes questions concerning demographic information and older adults' attitudes toward hurricane-induced evacuations during the COVID-19 pandemic. Ordered Probit regression models were developed to investigate the impacts of demographic parameters on older adults' tendencies toward evacuating as well as their preferences to stay at home or shelter during the pandemic. The model results reveal that male participants felt safer to evacuate compared to females. Also, any decrease in the level of income was associated with an increase in the need for help for evacuation by 18%. Findings indicated that the participants who found the evacuation safe normally also had a positive attitude toward staying in their vehicle, hotel, or even shelters if maintaining social distance was possible. Emergency management policies can utilize these findings to enhance hurricane preparations for dealing with the additional health risks posed by the pandemic for older adults, a situation that could be exacerbated by the upcoming hurricane season in Florida.

This study compared a sample of Australian drivers aged 77 years and older to participants from an older driver longitudinal cohort study (Ozcandrive) and examined the relationship between resilience and self-reported driving measures within these samples. Using a survey with a subset of questions from Ozcandrive, data were collected from 237 older drivers throughout Australia. The two samples were analyzed for differences in demographics, health, resilience, and self-reported driving behavior. A series of multiple regression models were fit for each driving outcome measure for both samples. The two samples had both similarities and differences, with the largest difference observed for resilience. Strong and consistent associations were found between resilience and driving comfort, abilities, and frequency for the Australian sample. Across samples, resilience remained a significant variable in seven of 10 regression models, more than any other independent variable.

Studies over the past two decades have attempted to document and understand factors related to crashes involving older drivers to develop more effective countermeasures to reduce the frequency and severity of these crashes. Studies in which vehicle acceleration data can be recorded have begun to explore the relationship between rapid deceleration events (RDEs) and functional abilities among older drivers as a surrogate measure of unsafe driving. Recent naturalistic driving studies with older adults have found differing results using different thresholds to define an RDE. The present study examined the relationship among RDE rates, demographics, visual abilities, cognitive abilities, and driving comfort among a large cohort of older drivers, using two definitions of RDEs—longitudinal deceleration of 0.35 g or greater (RDE35) and longitudinal deceleration of 0.75 g or greater (RDE75). The study utilized objective driving, objective functioning, and reported driving comfort data from 2774 participants of the multi-site AAA Longitudinal Research on Aging Drivers (LongROAD) study. RDE rates for each threshold were calculated per 1000 miles driven. Multivariate regression models with backward elimination were developed to examine how outcome measures were related to RDE rates. Too few RDE75 events were found for meaningful analysis. RDE35 rates were significantly associated with several covariates. RDE35 rates were related to declining functional abilities, but many other factors also played a significant role in the rate of RDE35s among older drivers, diminishing the value of using RDE35 rates as a surrogate measure of driving safety. In addition, because the AAA LongROAD sample was relatively healthy and high functioning, other ability-related covariates may also be significantly related to RDE35s but the lack of variance in these measures in the current study prevented these effects from emerging.

Objective: This study examines the prevalence of self-reported driving while intoxicated (DWI) among drivers aged 65 and older. Method: This cross-sectional study was based on baseline data from the AAA Longitudinal Research on Aging Drivers (LongROAD) study, a multisite prospective cohort study of 2,990 older adult drivers. Alcohol-related variables from the baseline questionnaire were examined in relation to demographics, health status, and driving behaviors. A logistic regression model assessed variables associated with DWI. Results: Of the 2,990 participants, 72.7% reported consuming alcohol, 15.0% reported high-risk drinking, and 3.3% reported DWI. High-risk drinking (OR = 12.01) and risky driving behaviors (OR = 13.34) were significantly associated with at least occasional DWI. Avoidance of hazardous driving conditions (OR = 0.71) and higher level of comfort during challenging driving scenarios (OR = 0.65) were less likely to be associated with DWI. Conclusion: A large number of older adults engage in high-risk drinking and DWI. Public health education and DWI-related interventions should include older adults.

Evidence suggests that older driver safety may be improved by good vehicle maintenance, in-vehicle advanced technologies, and proper vehicle adaptations. This study explored the prevalence of several measures of vehicle maintenance and damage among older drivers through inspection of their vehicles. We also investigated the prevalence of in-vehicle technologies and aftermarket adaptations. Vehicle inspections were conducted by trained research staff using an objective, standardized procedure. This procedure, developed by a multidisciplinary team of researchers, was based on a review of inspection checklists used by automobile dealerships and the project team's expertise. The study used baseline data from vehicles of 2988 participants in the multi-site Longitudinal Research on Aging Drivers (LongROAD) study. Among this cohort, vehicles were well maintained, had little damage, and contained a range of advanced technologies but few aftermarket adaptations. Implications of study findings for occupational therapy practice are discussed.

As people age, some of the commonly experienced psychomotor, visual, and cognitive declines can interfere with the ability to safely drive, often leading to situational avoidance of challenging driving situations. The effect of hearing impairment on these avoidance behaviors has not been comprehensively studied. Data from the American Automobile Association (AAA) Longitudinal Research on Aging Drivers (LongROAD) study were used to assess the effect of hearing impairment on driving avoidance, using three measures of hearing. Results indicated that hearing loss plays a complex role in driving avoidance, and that an objective hearing measure was a stronger predictor than hearing aid use and self-rated hearing. Greater hearing impairment was related to less nighttime and freeway driving, more trips farther than 15 mi from home, and lower odds of avoiding peak driving times. The moderating influence of hearing on both vision and cognition is also discussed, along with study implications and future research.

A particular concern with SAE Level 3 automated vehicles is the takeover transition from the automated vehicle to the driver. Prior research has employed a wide range of metrics for measuring takeover performance. However, the lack of a set of standard metrics for measuring takeover performance makes it difficult to consolidate findings and summarize the influence of different factors. This article presents a review of the metrics employed in empirical literature examining takeover transitions in Level 3 automated driving and proposes a framework for standardizing the objective takeover performance metrics.

The study sought to understand the relationship between in-vehicle technologies (IVTs) and self-regulatory behaviors among older drivers. In a large multi-site study of 2990 older drivers, self-reported data on the presence of IVTs and avoidance of various driving behaviors (talking on a mobile phone while driving, driving at night, driving in bad weather, and making left turns when there is no left turn arrow) were recorded. Self-reports were used to identify whether avoidance was due to self-regulation. Hierarchical logistic regressions were used to determine whether the presence of a particular IVT predicted the likelihood of a given self-regulatory behavior after controlling for other factors. Results suggest that the presence of Integrated Bluetooth/Voice Control systems are related to a reduced likelihood of avoiding talking on a mobile phone while driving due to self-regulation (OR= 0.37, 95% CI= 0.29&ndash, 0.47). The presence of a Navigation Assistance system was related to a reduced likelihood of avoiding talking on a mobile phone while driving (OR= 0.65, 95% CI= 0.50&ndash, 0.84) and avoiding driving at night due to self-regulation (OR= 0.80, 95% CI = 0.64&ndash, 1.00). Present findings suggest in-vehicle technologies may differently influence the self-regulatory behaviors of older drivers.

We surveyed self-reported lifetime health conditions (using National Health and Aging Trends Study questions) and related driving reduction in a large multi-site older driver cohort (n = 2,990) from the AAA Longitudinal Research on Aging Drivers (LongROAD) Study’s baseline assessment. Those reporting reduced driving (n = 337) largely attributed reduction to musculoskeletal (29%), neurologic (13%), and ophthalmologic (10%) conditions. Women reported health condition-related driving reduction more often than men (14% versus 8%, p

Vehicle automation offers promise for improving safe transportation, access to mobility, and quality of life. However, at least in the early stages of automation, human drivers remain an integral component of the system and their acceptance and use of the automated technology needs to be much better understood. One factor that has emerged as a strong influence on the acceptance and use of automated technology is trust. We used regression analyses to address two research questions. The first was: What factors are associated with the extent to which individuals report trust in automated technology after a simulated automated drive experience? The second research question was: How are trust in automated technology, control preferences (both preference for control specifically related to driving and more general preference for control), and experience with technology associated with objective measures intended to capture acceptance of automated technology? With regard to the first research question, we found that driving-specific control preferences were significantly related to reported trust. Specifically, after experiencing a simulated drive that required switching between manual and automated modes, the extent to which individuals reported that they trusted the automated technology was significantly higher among those who also reported being comfortable with other drivers behind the wheel. While specific results were mixed with regard to the second research question, we did find evidence that trust in automated driving, at least as reported after a simulated experience with the technology, was an important component of acceptance of the technology.

Driving is the preferred source of personal transportation for older adults. However, personal transportation is not limited to owning and operating a car and can be conceptualized as utilization of different modes of transportation to meet personal mobility needs. The aims of this study are to describe the types and number of alternate transport sources of transportation used by older drivers and to explore whether the distances driven by older drivers vary by their use of alternate transport. This is a cross-sectional analysis of the baseline data from the Longitudinal Research on Aging Drivers (LongROAD) cohort study, which includes healthy drivers aged 65–79 years. The results suggest that most older drivers have at least one alternate source of transportation; most commonly riding as a passenger with a friend or family member (87%). Those who reported riding as passengers (OR=0.69 [95% CI: 0.54–0.87]), riding a train (OR=0.63 [95% CI: 0.49–0.81], using a taxi/ride share (OR=0.75 [95% CI: 0.58–0.96]), or riding a bus (OR=0.75 [95% CI: 0.56–0.99]) were less likely to drive shorter distances. The odds of driving only shorter distances was significantly lower among those who reported 1, 2, or 3+ types of alternate transport sources relative to those who reported no types. Communities should consider how to improve access to alternate transport sources for older adults, so as to mitigate the adverse health and social impacts of restricting driving.

Interpersonal roadway communication is a vital component of the transportation system. Road users communicate to coordinate movement and increase roadway safety. Future autonomous vehicle research needs to account for the role of interpersonal roadway communication. This literature review synthesizes research on interpersonal interaction between drivers, bicyclists, and pedestrians while also directing attention to implications for autonomous and connected vehicle research. Articles were collected from TRID, PsycINFO, Google Scholar, and ScienceDirect using search terms relevant to driving, communication, and vulnerable road users. The synthesis documents that interpersonal communication not only takes place but is also an important and understudied aspect of safe roadway travel. The review also found that road users employ a variety of communication methods that include gestures, facial expressions, and built-in vehicular devices. Comprehension of messages is influenced by several factors including culture, context, and experience. These results shed light on potential issues and challenges of interpersonal communication and the introduction of autonomous vehicles to the roadway.

Introduction Although the number of alcohol-impaired driving (AID) fatalities has declined over the past several years, AID continues to be a serious public health problem. The purpose of this effort was to gain a better understanding of the U.S. driving population's perceptions and thoughts about the impacts of lowering the blood alcohol concentration (BAC) driving standard below.08% on AID, health, and other outcomes. Methods A questionnaire was administered to a nationally representative sample of licensed drivers in the U.S. (n = 1011) who were of age 21 or older on driving habits, alcohol consumption habits, drinking and driving habits, attitudes about drinking and driving, experiences with and opinions of drinking and driving laws, opinions about strategies to reduce drinking and driving, general concerns about traffic safety issues, and demographics. Results One-third of participants supported lowering the legal BAC standard, and participants rated a BAC standard of .05% to be moderately acceptable on average. 63.9% indicated that lowering 30 the BAC to .05% would have no effect on their decisions to drink and drive. Nearly 60% of respondents lacked accurate knowledge of their state's BAC standard. Conclusions Public support for lowering the BAC standard was moderate and was partially tied to beliefs about the impacts of a change in the BAC standard. The results suggest that an opportunity for better educating the driving population about existing AID policy and the implications for lowering the BAC level on traffic injury prevention. Practical applications The study results are useful for state traffic safety professionals and policy makers to have a better understanding of the public's perceptions of and thoughts about BAC standards. There is a clear need for more research into the effects of lowering the BAC standard on crashes, arrests, AID behavior, and alcohol-related behaviors.

OBJECTIVE There are many unknowns regarding drivers' use and acceptance of advanced vehicle technologies. This research aimed to examine drivers' perceptions of advanced driver assistance systems (ADAS). METHODS This research was conducted using structured interviews and focus groups of owners of vehicles with advanced technologies. RESULTS Drivers' perceptions about ADAS were mixed, but generally safety was considered to be the greatest value of the systems. There was recognition that the systems may result in overreliance and thus encourage distraction behaviors or other bad driving habits, and participants generally expressed that they were ultimately responsible for the vehicle's operation and needed to be ready to override the system if it failed. CONCLUSIONS The findings indicate that driver characteristics and individual factors may influence perceptions, behaviors, and interactions with safety technology, and this research is a first step toward understanding any influences. Human factors issues related to automated vehicle technologies are critical for design and deployment, including those of trust, acceptance, and understanding of systems.

Engagement in civic, social, and community life plays an important role in health, well-being, and quality of life, and requires individuals to be mobile in their environment. In this article, we review what is currently known about 2 areas relevant to safe mobility for older drivers and identify future research in these areas. Using a framework for transportation and safe mobility, 2 key areas were selected for review: the process of transitioning to non-driving and the maintenance of mobility after driving has ceased. This article serves as a companion to another article that used the same approach to explore safe mobility issues for older adults who are still driving. We found that although there has been progress in supporting transitioning process to non-driving and improving mobility options for older adults following driving cessation, many knowledge gaps still exist. We identified several research topics that would benefit from continued scientific inquiry. In addition, several themes emerged from the review, including the need for: multidisciplinary, community-wide solutions; large-scale, longitudinal studies; improved education and training for older adults and the variety of stakeholders involved in older adult transportation; and the need for programs and interventions that are flexible and responsive to individual needs and situational differences.

When older adults reduce their driving, there can be subsequent decreases in life satisfaction. In this cross-sectional study, we used baseline data from the multi-site Longitudinal Research on Aging Drivers (LongROAD) study to examine whether social support moderates the negative association between reduced driving and life satisfaction. The outcome variable was life satisfaction, and the main predictor variable was past-year reduced driving (yes/no). Emotional, instrumental, and informational social support were measured using PROMIS v2.0 (Patient-Reported Outcomes Measurement Information System) items. We used generalized linear regression models to examine how social support moderated the association between reduced driving and life satisfaction. Statistical adjustment for social support attenuated the negative effect of reduced driving on life satisfaction by ~10% for all three types of social support.

Seat belt use can significantly reduce fatalities in motor vehicle crashes (Kahane, 2000). Nevertheless, the current U.S. seat belt use rate of 89.6% (Enriquez & Pickrell, 2019) indicates that a relatively small but pervasive portion of the population does not wear seat belts on a full-time basis. Whereas much is known about the demographic predictors of seat belt use, far less is understood about psychological factors that predict individual proclivities toward using or not using a seat belt. In this study, we examined some of these potential psychological predictors. A probability-based web survey was conducted with 6,038 U.S. residents aged 16 or older who reported having driven or ridden in a car in the past year. We measured self-reported seat belt use and 18 psychological constructs and found that delay of gratification, life satisfaction, risk aversion, risk perception, and resistance to peer influence were positively associated with belt use. Impulsivity and social resistance orientation were negatively associated with belt use. Prior research has shown that psychological factors like delay of gratification, risk aversion/perception, and impulsivity predict other health behaviors (e.g., cigarette smoking, sunscreen use); our results extend this literature to seat belts and can aid the development of traffic safety programs targeted at non-users who-due to such factors-may be resistant to more traditional countermeasures such as legislation and enforcement.

PURPOSE Analyses compared older drivers from urban, suburban, and rural areas on perceived importance of continuing to drive and potential impact that driving cessation would have on what they want and need to do. METHODS The AAA LongROAD Study is a prospective study of driving behaviors, patterns, and outcomes of older adults. A cohort of 2,990 women and men 65-79 years of age was recruited during 2015-2017 from health systems or primary care practices near 5 study sites in different parts of the United States. Participants were classified as living in urban, surburban, or rural areas and were asked to rate the importance of driving and potential impact of driving cessation. Logistic regression models adjusted for sociodemographic and driving-related characteristics. FINDINGS The percentages of older drivers rating driving as "completely important" were 76.9%, 79.0%, and 83.8% for urban, suburban, and rural drivers, respectively (P = .009). The rural drivers were also most likely to indicate driving cessation would have a high impact on what they want or need to do (P < .001). After adjustment for sociodemographic and driving-related characteristics, there was a 2-fold difference for rural versus urban older drivers in odds that driving cessation would have a high impact on what they need to do (OR = 2.03; 95% CI: 1.60-2.58). CONCLUSIONS Older drivers from rural areas were more likely to rate driving as highly important and the prospect of driving cessation as very impactful. Strategies to enhance both the ability to drive safely and the accessibility of alternative sources of transportation may be especially important for older rural adults.

Federal, state, and local governments have a critical role in fostering the opportunity for older adults to maintain mobility and independence as current drivers as well as when they can no longer or choose not to drive. The governments of many countries have developed long-term strategic plans to address the mobility needs of the growing older adult population, and numerous jurisdictions throughout the world have established specialized work groups and formal committees to investigate the mobility needs of the aging population and to provide recommendations for future transportation policy as it relates to older adults. This chapter discusses the role federal, state, and local governments have in helping older adults maintain mobility throughout all stages of the driving continuum. The key challenges and opportunities for providing adequate mobility options are discussed as well as promising initiatives that have been undertaken to ensure a transportation system that is robust to handle the changing needs of the population.

Emerging evidence suggests that atypical changes in driving behaviors may be early signals of mild cognitive impairment (MCI) and dementia. This study aims to assess the utility of naturalistic driving data and machine learning techniques in predicting incident MCI and dementia in older adults. Monthly driving data captured by in-vehicle recording devices for up to 45 months from 2977 participants of the Longitudinal Research on Aging Drivers study were processed to generate 29 variables measuring driving behaviors, space and performance. Incident MCI and dementia cases (n = 64) were ascertained from medical record reviews and annual interviews. Random forests were used to classify the participant MCI/dementia status during the follow-up. The F1 score of random forests in discriminating MCI/dementia status was 29% based on demographic characteristics (age, sex, race/ethnicity and education) only, 66% based on driving variables only, and 88% based on demographic characteristics and driving variables. Feature importance analysis revealed that age was most predictive of MCI and dementia, followed by the percentage of trips traveled within 15 miles of home, race/ethnicity, minutes per trip chain (i.e., length of trips starting and ending at home), minutes per trip, and number of hard braking events with deceleration rates ≥ 0.35 g. If validated, the algorithms developed in this study could provide a novel tool for early detection and management of MCI and dementia in older drivers.

Better information is needed about how declines in sensory and cognitive function affect older drivers. This study assessed how hearing loss affects engagement in four challenging driving patterns. Data from the AAA Longitudinal Research on Aging Drivers study was used, including objectively-measured driving; three measures of hearing: reported hearing aid use, self-rated hearing, and the Whisper Test; visual acuity (Tumbling E); and cognition (Trail Making B). Failing the Whisper Test in both ears was related to significantly lower percentage of trips (%trips) at night, on freeways, and during rush hour, but a higher %trips >15 miles. Hearing aid use and self-rated hearing were not associated with any driving differences. Worse vision was related to a lower %trips >15 miles, while worse cognition was associated with a lower %trips at night, on freeways, and during rush hour. The Whisper Test interacted with cognition for rush hour trips.

Objective This exploratory study examined the concept of psychological resilience and self-reported measures of driving comfort, abilities, and self-regulatory driving behavior in adults aged 75 years and older (Male: 69.9%; Mean age = 81.6 years, SD = 3.3, Range = 76.0–90.0). As resilience is associated with adaptive coping skills, it was anticipated that older drivers with higher resilience scores would be more likely to exhibit self-regulatory driving behavior. Method Participants from the Ozcandrive older driver cohort study (Melbourne, Australia) completed: a demographic questionnaire; a battery of functional/health assessments; driving comfort, perceived abilities and self-regulatory scales; and a resilience scale. Data for a subset of 183 participants were analyzed. Results Hierarchical regression analyses using age, sex, driving exposure, and resilience showed that adding resilience into the models resulted in statistically significant increases in the amount of variance explained, however, the resulting total R-squared values remained modest (i.e. R2 between 0.074 and 0.305). After combining all variables into each model, resilience remained significant in all models except situational driving avoidance. Findings for females support the hypothesis that those with higher resilience report more self-regulatory driving behavior, with contrasting findings for males. Discussion The current findings add to the literature on factors influencing later-life driving decisions and provide more information for extending safe mobility for older adults. The study highlights a promising new domain of research to understand how older adults navigate the process of aging and driving and can provide stakeholders with more information to best prepare for the transportation and mobility issues that lie ahead.

The US older adult population is projected to considerably increase in the future, and continued driving mobility is important for health aspects in populations with fewer transportation alternatives. This study evaluated whether frailty is associated with low-mileage driving (&lt, 1865 miles per year) and driving cessation among older adults. Baseline demographics and health data were collected for 2990 older drivers via in-person assessments and questionnaires, with 2964 reporting baseline frailty data. Multivariable log-binomial regression models were used to evaluate the association between baseline frailty status and low-mileage driving. Multivariable Cox proportional hazards regression were used to evaluate the association between baseline frailty status and driving cessation. For every unit increase in frailty, the estimated adjusted risk of driving fewer than 1865 miles/year increased by 138% (adjusted risk ratio: 2.38, 95% CI: 1.63&ndash, 3.46). Relative to older drivers who were not frail, the adjusted hazard ratios of driving cessation were 4.15 (95% CI: 1.89&ndash, 9.10) for those classified as prefrail and 6.08 (95% CI: 1.36&ndash, 27.26) for those classified as frail. Frailty is positively associated with low-mileage driving status and driving cessation in a dose-response fashion. Public health interventions that reduce frailty, such as physical activity, may help older drivers maintain safe and independent mobility.

Background: Older adult drivers may experience decreases in driving safety with age or health status change. Discussing driving safety may help them plan for driving restriction and eventual cessation. Here, we sought to examine conversations between older adults and their family members and physicians. Methods: In this multi-site cross-sectional analysis of baseline data from the AAA Longitudinal Research on Aging Drivers (LongROAD) cohort study, we measured the prevalence and characteristics of family and physician driving discussions. We examined associations between having driving discussions and participant characteristics using multivariate logistic regression. Results: Of 2990 current drivers aged 65 to 79 years (53% female, 85.5% White), only 14.2% reported discussing driving safety with family and 5.5% had discussions with physicians. Men (adjusted OR, 1.32; 95% CI, 1.05 to 1.66) and those with Master9s degrees or higher (adjusted OR, 1.65; 95% CI, 1.27 to 2.13) more often had family discussions. Those with at least a Master9s degree were also more likely to speak with their physician (adjusted OR, 1.77; 95% CI, 1.17 to 2.68). Conclusion: Few older adults had driving safety conversations with their family or physicians. Practical and effective interventions are needed to engage family and physicians in assisting older adults with risk assessment and driving cessation planning to maintain mobility and well-being.

The exploratory study reported here was intended to examine: how strongly subjectively reported driving avoidance behaviors (commonly referred to as self-regulation) and exposure were related to their objectively measured counterparts and whether it depended on the specific behavior; the extent to which gender and age play a role in the association between subjectively reported driving avoidance behaviors and exposure and their objectively measured counterparts; and the extent to which demographics, health and functioning, driving-related perceptions, and cognition influence the association between subjective and objective driving avoidance behaviors overall. The study used data from the Longitudinal Research on Aging Drivers (LongROAD) study, a multisite, prospective cohort study designed to generate empirical data for understanding the role of medical, behavioral, environmental, and technological factors in driving safety during the process of aging. Objective driving measures were derived from GPS/datalogger data from 2131 LongROAD participants' vehicles. The corresponding subjective measures came from a comprehensive questionnaire administered to participants at baseline that asked them to report on their driving exposure, patterns, and other aspects of driving. Several other variables used in the analyses came from the comprehensive questionnaire and an inperson clinical assessment administered to participants at baseline. A series of simple linear and logistic models were fitted to examine the relationship between the subjective and objective driving measures of interest, and a multivariable analysis was conducted to examine the potential role of selected factors in the relationship between objective and subjective driving avoidance behaviors. Results of the models are presented and overall findings are discussed within the context of the existing research literature.

Background and Objectives Balancing both driver mobility and safety is important for the well-being of older adults. However, research on the association of physical function with these 2 driving outcomes has yielded inconsistent findings. This study examined whether physical functioning of older drivers, as measured by the Short Physical Performance Battery (SPPB), is associated with either driving space or crash involvement. Methods Using cross-sectional data of active drivers aged 65–79 years from the AAA Longitudinal Research on Aging Drivers (LongROAD) study (n = 2,990), we used multivariate log-binomial and logistic regressions to estimate the associations of the SPPB with either self-reported restricted driving space in the prior 3 months or any crashes in the past year. Interaction with gender was assessed using likelihood ratio tests. Results After adjustment, older drivers with higher SPPB scores (higher physical functioning) had lower prevalence of restricted driving space (8–10 vs. 0–7, prevalence ratio [PR] = 0.88, 95% confidence interval [CI]: 0.78–0.99; 11–12 vs. 0–7, PR = 0.78, 95% CI: 0.61–0.99). Fair (8–10), but not good (11–12), scores were significantly associated with reduced crash involvement (8–10 vs. 0–7, odds ratio [OR] = 0.71, 95% CI: 0.60–0.84). Gender was not a significant effect modifier. Discussion and Implications This study provides evidence that higher physical functioning is associated with better driving mobility and safety and that the SPPB may be useful for identifying at-risk drivers. Further research is needed to understand physical functioning’s longitudinal effects and the SPPB’s role in older driver intervention programs.

Introduction The present study uses data from the American Automobile Association (AAA) Longitudinal Research on Aging Drivers (LongROAD) study to assess the association of the frailty phenotype with reduced driving space and involvement in motor vehicle crashes. Methods The LongROAD study is a multisite prospective cohort study of participants aged 65–79 years. Fried's frailty phenotype status at baseline and self-reported restricted driving space in the past three months and at least one self-reported crash in the recent year are examined. Multivariable logistic regression was used to obtain odds ratios, adjusting for covariates and clustering by site. Results Pre-frail (i.e. only 1–2 indicators of frailty) participants had 30% higher odds (adjusted OR = 1.3, 95% CI:1.0–1.8) of reporting involvement in a crash in the prior year than non-frail participants after adjusting for sex, age, depression, word recall, average miles driven per week, and site. No association for reduced driving space for frail older drivers was found. Conclusions The frailty phenotype is associated with motor vehicle crashes, but not reduced driving space. Our findings suggest that future research should be focused on the identification of pre-frail older adult drivers to improve the health and quality of life of older adult drivers.

Objective: The aging of the population in the United States and elsewhere has brought increasing attention to the issue of safe driving and mobility among older adults. The overall objective of this research was to use naturalistic data collection to better understand driving exposure and driving patterns, 2 important contributors to crash risk. Methods: Data came from a study conducted at the University of Michigan Transportation Research Institute as part of the Integrated Vehicle-Based Safety System (IVBSS) program. A total of 108 randomly sampled drivers took part, with the sample stratified by age and sex. The age groups examined were 20 to 30 (younger), 40 to 50 (middle-aged), and 60 to 70 years old (older). Sixteen late-model Honda Accords were used as research vehicles and were driven by participants as their personal vehicles over the study period. Roughly the first 2 weeks of vehicle use comprised the baseline driving period, during which the IVBSS technologies were turned off (i.e., no warnings were presented to the drivers) but all onboard data were collected. For this article, only data from the baseline period were analyzed to limit any confounding effects that the safety technology may have had on driving behavior. Results: Results indicated that when looking at age independent of sex, older drivers (age 60–70) took fewer trips, drove fewer minutes, were less likely to drive at night, and had fewer high decelerations and speeding events than the youngest age group (20–30). They were also less likely to drive during peak morning traffic and on high-speed roads than their middle-age counterparts (40–50). Across all age groups, there were few differences by sex, with the exception that females drove fewer miles and fewer minutes and had fewer high decelerations than males. When both age and sex were taken into account, it was often the group of females age 60–70 that appeared to account for many of the age and sex differences found in driving exposure and patterns. Conclusions: Future research in this area would benefit from larger scale and longitudinal study designs so that changes in driving exposure and patterns over time among large samples of drivers could be examined.

This article has two aims. The first is to present results that partly explain why some automobile drivers choose to use their seatbelts only part time, thereby exposing themselves to unnecessary risk. The second is to offer and illustrate the "cardinal decision issue perspective"((1)) as a tool for guiding research and development efforts that focus on complex real-life decision behaviors that can entail wide varieties of risk, including but not limited to inconsistent seatbelt use. Each of 24 young male participants drove an instrumented vehicle equipped to record continuously seatbelt use as well as other driving data. After all trips were finished, each participant completed an interview designed to reconstruct how he made randomly selected seatbelt-use decisions under specified conditions. The interview also examined whether and how drivers established "decision policies" regarding seatbelt use. Such policies were good predictors of inconsistent seatbelt use. Drivers who had previously adopted policies calling for consistent seatbelt use were significantly more likely than others to actually drive belted. Meta-decisions about seatbelt policy adoption appeared to rest on factors such as whether the driver had ever been asked to consider selecting a policy. Whether a driver made an ad hoc, on-the-spot seatbelt-use decision was associated with a perceived need to make such a decision. Finally, participants with full-time policies were especially likely to deploy their seatbelts by default, without recognizing the need to decide about belt use on a trip-by-trip basis. We end with recommendations for reducing inconsistencies in seatbelt use in actual practice.

This article discusses what is currently known about three important topics related to older driver safety and mobility: screening and evaluation, education and training interventions, and in-vehicle technology. Progress is being made to improve the safe mobility of older adults in these key areas; however, significant research gaps remain. This article advances the state of knowledge by identifying these gaps, and proposing further research topics will improve the lives of older adults. In addition, we discuss several themes that emerged from the review, including the need for multidisciplinary, community-wide solutions; large-scale, longitudinal studies; improved education/training for both older adults themselves and the variety of stakeholders involved in older adult transportation; and programs and interventions that are flexible and responsive to individual needs and differences.