The effects of demographics, functioning, and perceptions on the relationship between self-reported and objective measures of driving exposure and patterns among older adults
Autor: | R. M. St. Louis, Thelma J. Mielenz, David Strogatz, Guohua Li, Jonathon M. Vivoda, Linda V. Nyquist, Scott E. Bogard, David J. LeBlanc, Raymond Yung, Carolyn DiGuiseppi, Lisa J. Molnar, David W. Eby, Nicole Zanier, Lindsay H. Ryan, J S Zakraksek, Jacqui Smith |
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Rok vydání: | 2018 |
Předmět: |
050210 logistics & transportation
05 social sciences Exploratory research Human factors and ergonomics Poison control Transportation Cognition Context (language use) Suicide prevention Occupational safety and health Article 0502 economics and business Automotive Engineering Injury prevention 0501 psychology and cognitive sciences Psychology 050107 human factors Applied Psychology Civil and Structural Engineering Clinical psychology |
Zdroj: | Transportation research. Part F, Traffic psychology and behaviour. 54 |
ISSN: | 1369-8478 |
Popis: | The exploratory study reported here was intended to examine: how strongly subjectively reported driving avoidance behaviors (commonly referred to as self-regulation) and exposure were related to their objectively measured counterparts and whether it depended on the specific behavior; the extent to which gender and age play a role in the association between subjectively reported driving avoidance behaviors and exposure and their objectively measured counterparts; and the extent to which demographics, health and functioning, driving-related perceptions, and cognition influence the association between subjective and objective driving avoidance behaviors overall. The study used data from the Longitudinal Research on Aging Drivers (LongROAD) study, a multisite, prospective cohort study designed to generate empirical data for understanding the role of medical, behavioral, environmental, and technological factors in driving safety during the process of aging. Objective driving measures were derived from GPS/datalogger data from 2131 LongROAD participants' vehicles. The corresponding subjective measures came from a comprehensive questionnaire administered to participants at baseline that asked them to report on their driving exposure, patterns, and other aspects of driving. Several other variables used in the analyses came from the comprehensive questionnaire and an inperson clinical assessment administered to participants at baseline. A series of simple linear and logistic models were fitted to examine the relationship between the subjective and objective driving measures of interest, and a multivariable analysis was conducted to examine the potential role of selected factors in the relationship between objective and subjective driving avoidance behaviors. Results of the models are presented and overall findings are discussed within the context of the existing research literature. |
Databáze: | OpenAIRE |
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