15-year incidence of driving cessation and associated risk factors: The Blue Mountains Eye Study

Nguyen, Helen; Tanna, Gian Luca Di; Do, Vu; Mitchell, Paul; Liew, Gerald; Keay, Lisa

doi:10.1016/j.maturitas.2023.107796

Cited by 1 publication

(1 citation statement)

References 29 publications

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“…In order to target drivers likely to consider driving cessation, drivers were also required to have ≥1 pre-existing medical diagnosis associated with reduced driving ability and increased driving risk (Betz et al, 2021). This list of comorbidities consisted of medical conditions indicated by previous literature and expert clinical opinions to be associated with possible driving impairment and possible with driving cessation (e.g., cognitive impairment and macular degeneration) (Falkenstein et al, 2020;Nguyen et al, 2023;Snellgrove, 2005). Diagnoses of the drivers were confirmed by electronic medical records and verbal confirmation at the time of eligibility screening.…”

Section: Study Design and Participantsmentioning

confidence: 99%

Relationship of Decisional Conflict About Driving Habits Between Older Adult Drivers and Their Family Members and Close Friends

Fowler,

Johnson,

Peterson

et al. 2023

J Appl Gerontol

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This study examines the relationship of decisional conflict about driving habits between older adult drivers (≥70 years old) and their family members and close friends. This secondary analysis utilizes data originating from a multi-site randomized controlled trial assessing the effect of a driving decision aid (DDA) intervention. Decisional conflict about stopping or changing driving habits for drivers was measured with the Decisional Conflict Scale (DCS). Dyadic associations between drivers’ and study partners’ (SPs’) DCS scores were analyzed using an actor-partner interdependence model. Among 228 driver-SP dyads, Dyadic DCS was correlated at baseline ( r = .18, p < .01), and pre-intervention DCS was associated with post-intervention DCS ( p < .001 for SPs [β = .73] and drivers [β = .73]). Drivers’ baseline DCS and SPs’ post-intervention DCS were slighly correlated (β = .10; p = .036). Higher decisional conflict about driving among older drivers is frequently shared by their SPs. Shared decisional conflict may persist beyond intervening to support decision-making about driving cessation.

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Section: Study Design and Participantsmentioning

confidence: 99%