The Role of Gender in the Transition to Driving Cessation in Persons With Dementia
Bibliographic record
Abstract
Abstract Driving often provides a sense of independence, quality of life and emotional wellbeing. For older adults living with dementia, driving cessation eventually becomes inevitable. Driving cessation has been shown to negatively impact older adults’ mobility and, consequently, quality of life. Caregivers of persons with dementia (PWD) who have ceased driving are also impacted as they often become responsible for meeting the mobility needs of PWD and they provide emotional support in respect to this significant life transition. To date, there is little information on the role of gender in the transition to driving cessation in PWD. The purpose of this study was to examine the role that gender plays among drivers and ex-drivers with dementia from the perspectives of PWD, their caregivers, and healthcare practitioners. Secondary thematic analyses were conducted from a pre-existing sample of persons with dementia (N=10), family caregivers (N=13), and healthcare practitioners (N=6) who participated in interviews and focus groups about their experiences around driving cessation in the context of dementia. Data analyses involved an inductive thematic technique that allowed for generating themes. The main themes identified gender differences as a significant factor in: (1) difficulty accepting driving cessation (2) driving as it is tied to identity, (3) emotional responses to driving cessation, (4) driving as part of the caregiving role. The findings suggest that there is a need for tailored interventions for men and women who lose their ability to drive, in addressing their unique emotional responses and in supporting them through this important life transition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".