Examining the contribution of psychological resilience on self-reported and naturalistic driving behavior of older adults

Resilience in Older People: A Concept Analysis

(1) Background: Resilience has been presented as a potential protective factor to be promoted in difficult experiences in older people. However, further clarification of the concept of resilience for this population is required, as this is of critical interest for nursing care. (2) Aim: To develop the concept of resilience in older people to establish the elements that refer to the nursing outcome. Personal resilience (1309) from the Nursing Outcomes Classification (NOC), specifically in older people. (3) Methods: Concept analysis using Beth Rodgers' evolutionary model. The attributes, antecedents, consequents, and empirical elements were described in the integrative review, with searches in PubMed, CINAHL, PsycINFO, LILACS, and Embase databases. A total of 2431 citations have been identified, and 110 studies were included. (4) Results: The concept of "resilience in older people" is composed of two attributes, available resources and positive behaviors, and is defined as positive attitudes of older people with the assistance of resources available from experiences of adversity. Conclusion: This analysis and concept development of resilience in older people provided sensitive indicators for nursing care in the context of adversity, considering available resources and with positive attitudes during this phase of life span.

The Association between Psychological Resilience and Driving Behavior among Older Drivers in Australia

This study compared a sample of Australian drivers aged 77 years and older to participants from an older driver longitudinal cohort study (Ozcandrive) and examined the relationship between resilience and self-reported driving measures within these samples. Using a survey with a subset of questions from Ozcandrive, data were collected from 237 older drivers throughout Australia. The two samples were analyzed for differences in demographics, health, resilience, and self-reported driving behavior. A series of multiple regression models were fit for each driving outcome measure for both samples. The two samples had both similarities and differences, with the largest difference observed for resilience. Strong and consistent associations were found between resilience and driving comfort, abilities, and frequency for the Australian sample. Across samples, resilience remained a significant variable in seven of 10 regression models, more than any other independent variable.