Background and Objectives Older adults can expect to live between 6 and 10 years after they give up driving, but driving reduction and cessation (DRC) are not equally experienced by all groups. Individual characteristics such as poor health, impaired vision, older age, and female gender are known to affect DRC. Using cumulative disadvantage theory as a guide, this study assessed the role played by wealth in DRC among older adults. Research Design and Methods Data from the National Health and Aging Trends Study were analyzed using multinomial logistic regression techniques. This allowed for the effect of each predictor on the odds of engagement in a given driving status (full driving, driving reduction [DR], and driving cessation [DC]) to be compared to each of the others. Results The final sample included 6,387 participants. After controlling for the effect of covariates, less wealth was associated with higher odds of DR compared to full driving, DC compared to full driving, and DC compared to DR. Confirming previous research, several other factors were also significantly related to driving status including age, health, vision, gender, race, education, relationship status, household size, and work status. Discussion and Implications The influence of wealth on driving status among older adults represents another disadvantage unequally distributed to some in older adulthood. Those with less wealth will have fewer resources to meet their mobility needs using alternatives and may already be facing additional financial constraints due to worse health and other challenges associated with lower socioeconomic status.

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Threshold concepts are fundamental to the learning process and are said to transform the way we view and understand the world around us. Although a new framework to gerontology, the threshold concept framework has been utilized in many fields inside (e.g., psychology, social work) and outside (e.g., clinical and research settings) of academia. This framework facilitates understanding learning, exposing expert blind-spots, and designing curricula for complex concepts that are challenging to learn. For decades gerontologists have grappled with ageism and its dire consequences including unemployment, negative health outcomes, and rationing of health care. Education is one of, if not the most, powerful tools to combat ageism. This paper demonstrates the utility of the threshold concept framework for gerontologists by conceptualizing ageism as a threshold concept. The purpose of this article is to provide an innovative approach to education on complex gerontological topics in different clinical, research, and educational settings using ageism as a primary example of a threshold concept in gerontology.

Objectives: To better understand the associations between the driving status of the care recipient and caregiver with provided caregiving hours, more research on the relationships between contextual caregiving factors and driving-related behaviors is needed. Method: Using data from Round 7 of the National Health and Aging Trends Study (NHATS) and the linked National Survey of Caregiving (NSOC; n = 1054 dyads), this study explored how caregiver transportation assistance and care recipient driving frequency are associated with caregiving hours. Results: Caregiving hours were highest among caregivers who provided transportation every day and among care recipients who had not driven in the last month. After controlling for covariates, negative binomial regression results indicated that greater caregiver transportation assistance was related to more caregiving hours, while greater care recipient driving frequency was related to less caregiving hours. Conclusion: Integrated supports and greater accessibility to transportation services may decrease time spent caregiving.