Predictors of Driving Cessation in Older Adults: A 12-year Population-based Study.

BACKGROUND: Changes in physical health and cognition during aging can result in some older adults to stop driving. In this population-based longitudinal study, we describe potential predictors of driving cessation in older adults. METHODS: Age-stratified random population cohort of 1982 adults aged 65 years and older drawn from voter registration lists. Participant characteristics were measured using demographics, physical and self-rated health, sleeping habits, driving status, cognitive screening, modified Center for Epidemiologic Studies-Depression scale, clinical dementia rating, and mini-mental state examination. RESULTS: Over 12 years of follow-up, 390 participants stopped driving. These individuals were older, more likely to be women and to have a clinical dementia rating score ≥1, had worse self-reported health, and more symptoms of depression, compared with those who were still driving. In addition, individuals with lower test performance in all cognitive domains, loss of visual acuity and fields, and bilateral hearing loss were more likely to stop driving. CONCLUSIONS: Age, sex, cognitive impairments, physical health, and depressive symptoms were associated with driving cessation in this cohort. By identifying potential driving cessation predictors, health care providers and families may better recognize these risk factors and begin the driving cessation discussion early.

Driving Habits of Older Adults: A Population-based Study.

OBJECTIVES: To describe factors associated with driving history, habits, and self-reported driving difficulties of 1982 older adults in a population-based survey. SETTING: This was a community setting. PARTICIPANTS: Age-stratified random population sample drawn from publicly available voter registration list. DESIGN: Participants underwent assessments including cognitive testing and self-reported current and past driving status, instrumental activities of daily living, self-rated health, social supports, physical limitations, and depressive symptoms. We built multivariable logistic regression models to identify factors associated with never having driven, having ceased driving, and reporting difficulties while driving. RESULTS: In the multivariable model, "never drivers" were more likely than "ever drivers" to be older, female, less educated and to leave home less frequently. Former drivers were significantly older, more likely to be women, have lower test performance in the cognitive domain of attention, have more instrumental activity of daily living difficulties, leave home less frequently and have visual field deficits in the right eye than current drivers. Current drivers with reported driving difficulties were more likely than those without difficulties to have lower test performance in attention but higher in memory, were more likely to report depressive symptoms and to have both vision and hearing loss. CONCLUSION: Age, female sex, marital status, and education appear to be associated with driving cessation. Cognitive and functional impairments, mood symptoms and physical health also seem to influence driving cessation and reduction. Our findings may have implications for clinicians in assessing and educating their patients and families on driving safety.