Planning for Driving Retirement: The Effect of Driving Perceptions, Driving Events, and Assessment of Driving Alternatives

Predicting Driving Cessation Among Cognitively Normal Older Drivers: The Role of Alzheimer Disease Biomarkers and Clinical Assessments

BACKGROUND AND OBJECTIVES

With the aging US population and increasing incidence of Alzheimer disease (AD), understanding factors contributing to driving cessation among older adults is crucial for clinicians. Driving is integral for maintaining independence and functional mobility, but the risk factors for driving cessation, particularly in the context of normal aging and preclinical AD, are not well understood. We studied a well-characterized community cohort to examine factors associated with driving cessation.

METHODS

This prospective, longitudinal observation study enrolled participants from the Knight Alzheimer Disease Research Center and The DRIVES Project. Participants were enrolled if they were aged 65 years or older, drove weekly, and were cognitively normal (Clinical Dementia Rating [CDR] = 0) at baseline. Participants underwent annual clinical, neurologic, and neuropsychological assessments, including β-amyloid PET imaging and CSF (Aβ42, total tau [t-Tau], and phosphorylated tau [p-Tau]) collection every 2-3 years. The primary outcome was time from baseline visit to driving cessation, accounting for death as a competing risk. The cumulative incidence function of driving cessation was estimated for each biomarker. The Fine and Gray subdistribution hazard model was used to examine the association between time to driving cessation and biomarkers adjusting for clinical and demographic covariates.

RESULTS

Among the 283 participants included in this study, there was a mean follow-up of 5.62 years. Driving cessation (8%) was associated with older age, female sex, progression to symptomatic AD (CDR ≥0.5), and poorer performance on a preclinical Alzheimer cognitive composite (PACC) score. Aβ PET imaging did not independently predict driving cessation, whereas CSF biomarkers, specifically t-Tau/Aβ42 (hazard ratio [HR] 2.82, 95% CI 1.23-6.44, p = 0.014) and p-Tau/Aβ42 (HR 2.91, 95% CI 1.28-6.59, p = 0.012) ratios, were independent predictors in the simple model adjusting for age, education, and sex. However, in the full model, progression to cognitive impairment based on the CDR and PACC score across each model was associated with a higher risk of driving cessation, whereas AD biomarkers were not statistically significant.

DISCUSSION

Female sex, CDR progression, and neuropsychological measures of cognitive functioning obtained in the clinic were strongly associated with future driving cessation. The results emphasize the need for early planning and conversations about driving retirement in the context of cognitive decline and the immense value of clinical measures in determining functional outcomes.

"You just have to be careful how you do it": A qualitative study of the Healthwise decision aid for older drivers

OBJECTIVE

Decisions about driving retirement are difficult for older adults, their families, and health care providers. A large randomized trial found that an existing online Healthwise decision aid decreased decision conflict and increased knowledge about driving decisions. This study sought to discover how, when, and where the tool might be most effective for older drivers, their family members, and their health care providers.

METHODS

We used one-on-one, semistructured interviews (June-December 2023) to explore perspectives on the content of the Healthwise online driving decision aid and its potential use. Participants were health care providers or subject matter experts in older driver research or policy. Transcribed interviews were coded and analyzed with a team-based approach to identify emerging themes.

RESULTS

Across interviews (16 health care providers; 15 experts), emerging themes related to considerations (barriers, benefits, and settings for use) that were (1) individual or interpersonal or (2) institutional or cultural, as well as feedback on (3) decision aid content and structure. Findings included concerns over agism and damaging provider-patient relationships, along with identified benefits of integrating tools into electronic health records and a need for consolidated, easy-to-access resources for both providers and patients.

CONCLUSION

Attention to individual, interpersonal, institutional, and cultural factors may enhance the use and dissemination of an online decision aid about driving, as well as its effectiveness in decision making. Future work should include views of additional stakeholders and studies on implementation of decision aids into real-world settings.

Driving Cessation and Late-Life Depressive and Anxiety Symptoms: Findings from the National Health and Aging Trends Study

OBJECTIVES

To describe the association between driving cessation and depressive and anxiety symptoms over time by assessing depression and anxiety at 1- and 4-years follow-up.

METHODS

The study examined community-dwelling adults aged 65 years and older from the National Health and Aging Trends Study who were driving at the 2015 interview and completed 1-year (N = 4,182) and 4-year (N = 3,102) follow-up interviews. Outcomes were positive screens for depressive and anxiety symptoms in 2016 or 2019, and the primary independent variable was driving cessation within one year of the baseline interview.

RESULTS

Adjusting for socio-demographic and clinical characteristics, driving cessation was associated with depressive symptoms at 1 year (OR = 2.25, 95% CI: 1.33-3.82) and 4-year follow-up (OR = 3.55, 95% CI: 1.72-7.29). Driving cessation was also associated with anxiety symptoms at 1 year (OR = 1.71, 95% CI: 1.05-2.79) and 4 year follow up (OR = 3.22, 95% CI: 1.04-9.99).

CONCLUSIONS

Driving cessation was associated with an increased risk of developing depressive and anxiety symptoms in later life. However, reasons for this association remain unclear.

CLINICAL IMPLICATIONS

Although the mechanism linking driving cessation with worse mental health symptoms is uncertain, driving facilitates many important activities. Clinicians should monitor the well-being of patients who stop or intend to stop driving.

Social Cognitive Theory, Driving Cessation, and Alternative Transportation in Later Life

Having viable alternative transportation options could help individuals stop driving when appropriate. This study employs the Social Cognitive Theory (SCT) to understand the barriers and facilitators of alternative transportation among a sample of adults aged 55 and older (N = 32). Using a daily transportation data collection app, MyAmble, the research team asked participants questions structured around environmental, individual, and behavioral factors as outlined in the SCT framework. Responses were analyzed using directed content analysis. Findings suggest a substantial reliance on motor vehicles and it was evident that many participants had never seriously considered what they would do if they could no longer drive. We posit that SCT principles may be applied to help older adults build self-efficacy to transition to driving cessation when needed.

Development and Initial Validation of the Transportation Support Scale

IMPORTANCE

Driving cessation affects older drivers and, possibly, also care partners (most of whom tend to be women). Although tools exist to assess the effects on family and friends of providing informal care to someone who needs assistance, no tool is available to clinicians that specifically focuses on the effects of driving cessation.

OBJECTIVE

To develop the Transportation Support Scale (TSS) to measure care partners' responses-both negative and positive-to driving cessation and assuming transportation responsibilities.

DESIGN

We developed a list of 98 items to capture the impact on care partners of providing transportation to older adults who have stopped driving. In Phase 1, we pretested the items qualitatively with a small sample of care partners. In Phase 2, we reduced the number of items and examined several psychometric properties of the TSS with a larger sample.

SETTING

Community.

PARTICIPANTS

Two convenience samples of care partners who provide transportation (Phase 1, n = 11; Phase 2, n = 66).

RESULTS

The initial pool of items was reduced from 98 to 22. The final TSS has an internal consistency of .88 (Cronbach's α). Thirty-five percent of care partners' scores fell above the middle possible score; these care partners were likely experiencing a high negative impact related to providing transportation after driving cessation.

CONCLUSIONS AND RELEVANCE

The TSS demonstrated adequate preliminary psychometric properties. We need additional research to further evaluate the psychometric properties of the TSS (e.g., test-retest reliability). A fully validated TSS may be useful to clinicians and researchers. What This Article Adds: The TSS has the potential to help clarify the perspective of care partners as well as inform the development and evaluation of services for care partners who are providing transportation to former drivers.

A systematic review and meta-synthesis of the complex and interconnected factors that influence planning for driving retirement

INTRODUCTION

With an aging population there are more older drivers than ever before. To reduce unnecessary road accidents and assist older drivers to successfully transition to non-driving, a better understanding of the factors that influence planning for driving retirement is required. This review explores documented factors that may influence older adults in planning for driving retirement, thus providing new understandings that can inform future preventative road safety measures, interventions, and policies.

METHOD

A systematic search was performed using four databases to locate qualitative studies on the factors that influenced older drivers to plan for driving retirement. To identify factors influencing planning for driving retirement, a thematic synthesis approach was utilized. Identified themes were categorized in relation to elements of the Social Ecological Model theoretical framework.

RESULTS

The systematic search resulted in 12 included studies from 4 countries. Four major themes and 11 subthemes were identified regarding planning driver retirement. Each subtheme denotes a factor that may facilitate and/or impede older drivers planning for driving retirement.

CONCLUSION

These results indicate that it is vitally important to encourage older drivers to plan for driving retirement as early as possible. Stakeholders involved in the safety of older drivers (including family, clinicians, road authorities, and policy makers) should work together on interventions and policies that empower older drivers to successfully plan for driving retirement in order to improve road safety and quality of life.

PRACTICAL APPLICATIONS

Introducing conversations about driving retirement via medical appointments, family, media, and peer-support groups could facilitate planning for driving retirement. Community-based ride-sharing systems and subsidized private transport options are needed to ensure continued mobility of older adults, especially in rural and regional areas that lack alternate transport services. When devising urban and rural planning, transport, license renewal, and medical testing rules, policy makers should consider older drivers' safety, mobility, and quality of life after driving retirement.

Cars, Guns, Aging, and "Giving Up the Keys"

BACKGROUND AND OBJECTIVES

Age-associated changes can impair abilities for safe driving and the use of firearms. We sought to examine multiple perspectives on reducing access to firearms, including similarities and differences compared to reducing driving.

RESEARCH DESIGN AND METHODS

Online focus groups and 1-on-1 interviews were conducted (November 2020 to May 2021) in the United States with: older adults who drove and owned firearms; family members of older adult firearm owners/drivers; professionals in aging-related agencies; and firearm retailers/instructors. Recorded sessions were transcribed, coded, and analyzed following a mixed inductive-deductive thematic analysis process.

RESULTS

Among 104 participants (81 in focus groups, 23 in interviews), 50 (48%) were female, and 92 (88%) White. Key similarities: decisions are emotional and challenging; needs change over time; safety concerns are heightened by new impairments; prior experiences prompt future planning; tension between autonomy and reliance on trusted others; and strategies like reframing may ease transitions and avoid confrontations. Key differences: "retirement" was not an acceptable term for firearms; reducing driving may affect daily independence more, but there are few alternatives for the psychological safety conferred by firearms; and there are specific firearm-related legal concerns but more driving-related regulations, policies, and resources.

DISCUSSION AND IMPLICATIONS

The similarities and differences in the processes and preferences related to reducing driving or firearm access have implications for the development of resources to support planning and action. Such resources for the public and providers might empower older adults and their families to make voluntary, shared decisions, and reduce injuries and deaths.

Examining Patterns of Driving Avoidance Behaviors Among Older People Using Latent Class Analysis

Objectives: Some older drivers choose to avoid certain situations where they do not feel confident driving. Little is known about the process by which older drivers may use avoidance in transitioning to non-driving. Methods: We analyzed 2015 ConsumerStyles data for 1198 drivers aged 60+. Driving patterns were examined by sociodemographic and driving characteristics. Avoidance classes were characterized by latent class analysis. Results: Among drivers 60+, 79% reported driving 3+ days/week and 84% reported good to excellent health. We identified four driving avoidance classes (low, mild, moderate, and high). High- (versus low-) avoidance drivers were more likely female, 75+, not White/non-Hispanic, and to have income <$25,000/year. Discussion: Avoidance of selected driving behaviors may be one component of a multi-step process supporting the transition to non-driving. Drivers displaying avoidance behaviors may be receptive to resources to prepare for this transition and minimize negative health and quality of life outcomes that accompany driving cessation.