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Validating Driver Behavior and Attitude Measure for Older Italian Drivers and Investigating Their Link to Rare Collision Events
The present study aimed to: (a) validate the factor structures of three scales assessing driving behavior, attitudes toward traffic safety (ATTS) and self-regulation in driving, in a sample of Italian older adults, through confirmatory factor analyses and (b) to determine the effectiveness of these...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393358/ https://www.ncbi.nlm.nih.gov/pubmed/30846960 http://dx.doi.org/10.3389/fpsyg.2019.00368 |
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author | Spano, Giuseppina Caffò, Alessandro O. Lopez, Antonella Mallia, Luca Gormley, Michael Innamorati, Marco Lucidi, Fabio Bosco, Andrea |
author_facet | Spano, Giuseppina Caffò, Alessandro O. Lopez, Antonella Mallia, Luca Gormley, Michael Innamorati, Marco Lucidi, Fabio Bosco, Andrea |
author_sort | Spano, Giuseppina |
collection | PubMed |
description | The present study aimed to: (a) validate the factor structures of three scales assessing driving behavior, attitudes toward traffic safety (ATTS) and self-regulation in driving, in a sample of Italian older adults, through confirmatory factor analyses and (b) to determine the effectiveness of these measures in predicting the likelihood and the frequency of collision involvements in the following year. A 28-item driver behavior questionnaire (DBQ), a 16-item ATTS, a 21-item extended driving mobility questionnaire (DMQ-A) were administered to 369 active Italian drivers, aged between 60 and 91 years. Results showed a four-factor structure for the DBQ, a five-factor structure for the ATTS and a two-factor structure for the Extended DMQ-A, as the best fitting models. Hurdle model analysis of count data with extra-zeros showed that all factors of DBQ predicted the likelihood of road collisions. Risky behavior, except for aggressive violations, self-regulation and attitudes toward traffic rules were associated with the frequency of collision involvement. The aforementioned three scales seemed to be a useful and concise suite of instruments assessing risky as well as protective factors of driving behavior in elderly. |
format | Online Article Text |
id | pubmed-6393358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63933582019-03-07 Validating Driver Behavior and Attitude Measure for Older Italian Drivers and Investigating Their Link to Rare Collision Events Spano, Giuseppina Caffò, Alessandro O. Lopez, Antonella Mallia, Luca Gormley, Michael Innamorati, Marco Lucidi, Fabio Bosco, Andrea Front Psychol Psychology The present study aimed to: (a) validate the factor structures of three scales assessing driving behavior, attitudes toward traffic safety (ATTS) and self-regulation in driving, in a sample of Italian older adults, through confirmatory factor analyses and (b) to determine the effectiveness of these measures in predicting the likelihood and the frequency of collision involvements in the following year. A 28-item driver behavior questionnaire (DBQ), a 16-item ATTS, a 21-item extended driving mobility questionnaire (DMQ-A) were administered to 369 active Italian drivers, aged between 60 and 91 years. Results showed a four-factor structure for the DBQ, a five-factor structure for the ATTS and a two-factor structure for the Extended DMQ-A, as the best fitting models. Hurdle model analysis of count data with extra-zeros showed that all factors of DBQ predicted the likelihood of road collisions. Risky behavior, except for aggressive violations, self-regulation and attitudes toward traffic rules were associated with the frequency of collision involvement. The aforementioned three scales seemed to be a useful and concise suite of instruments assessing risky as well as protective factors of driving behavior in elderly. Frontiers Media S.A. 2019-02-21 /pmc/articles/PMC6393358/ /pubmed/30846960 http://dx.doi.org/10.3389/fpsyg.2019.00368 Text en Copyright © 2019 Spano, Caffò, Lopez, Mallia, Gormley, Innamorati, Lucidi and Bosco. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Spano, Giuseppina Caffò, Alessandro O. Lopez, Antonella Mallia, Luca Gormley, Michael Innamorati, Marco Lucidi, Fabio Bosco, Andrea Validating Driver Behavior and Attitude Measure for Older Italian Drivers and Investigating Their Link to Rare Collision Events |
title | Validating Driver Behavior and Attitude Measure for Older Italian Drivers and Investigating Their Link to Rare Collision Events |
title_full | Validating Driver Behavior and Attitude Measure for Older Italian Drivers and Investigating Their Link to Rare Collision Events |
title_fullStr | Validating Driver Behavior and Attitude Measure for Older Italian Drivers and Investigating Their Link to Rare Collision Events |
title_full_unstemmed | Validating Driver Behavior and Attitude Measure for Older Italian Drivers and Investigating Their Link to Rare Collision Events |
title_short | Validating Driver Behavior and Attitude Measure for Older Italian Drivers and Investigating Their Link to Rare Collision Events |
title_sort | validating driver behavior and attitude measure for older italian drivers and investigating their link to rare collision events |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393358/ https://www.ncbi.nlm.nih.gov/pubmed/30846960 http://dx.doi.org/10.3389/fpsyg.2019.00368 |
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