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Development of a novel driving behavior adaptations questionnaire.
Rahel Bieri1, Tobias Nef1, René M Müri1
1Gerontechnology and Rehabilitation Group,University of Bern,Murtenstrasse 21,CH - 3010 Bern,Switzerland.
International Psychogeriatrics
|January 9, 2015
Summary
Older drivers, particularly females, employ more risk-reducing driving behaviors than younger drivers and males. This finding highlights the importance of assessing these adaptations for older driver fitness evaluations.
Area of Science:
- Gerontology
- Traffic Psychology
- Behavioral Science
Background:
- Driving requires adapting behavior to task demands and individual capacities.
- Cognitive performance may decline with age, necessitating risk-reducing adaptations in older drivers.
- Behavioral adaptations include selection, optimization, and compensation on tactical and strategic levels.
Purpose of the Study:
- To develop and validate a questionnaire assessing driving-related behavioral adaptations in older drivers.
- To explore age and gender differences in driving-related behavioral adaptations.
Main Methods:
- A questionnaire was developed to assess driving-related behavioral adaptations.
- The questionnaire was administered to older adults (65-87 years) and younger adults (22-55 years).
- Age and gender differences in behavioral adaptations were analyzed.
Main Results:
- Two factors emerged: risk-increasing and risk-reducing behaviors.
- Older participants exhibited significantly more risk-reducing behaviors than younger participants.
- Females demonstrated significantly more risk-reducing behaviors than males.
- No significant differences were found for risk-increasing behaviors between groups.
Conclusions:
- The developed questionnaire is a valuable tool for assessing driving-related behavioral adaptations aimed at risk reduction.
- Systematic assessment of these adaptations supports a resource-oriented evaluation of older driver fitness.
- Understanding behavioral adaptations is crucial for evaluating traffic-related risks in older drivers.
Keywords:
gender
