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The Relationship between in-Vehicle Technologies and Self-Regulation among Older Drivers

The study sought to understand the relationship between in-vehicle technologies (IVTs) and self-regulatory behaviors among older drivers. In a large multi-site study of 2990 older drivers, self-reported data on the presence of IVTs and avoidance of various driving behaviors (talking on a mobile phon...

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Autores principales: Svancara, Austin M., Villavicencio, Leon, Kelley-Baker, Tara, Horrey, William J., Molnar, Lisa J., Eby, David W., Mielenz, Thelma J., Hill, Linda, DiGuiseppi, Carolyn, Strogatz, David, Li, Guohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344904/
https://www.ncbi.nlm.nih.gov/pubmed/32316266
http://dx.doi.org/10.3390/geriatrics5020023
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author Svancara, Austin M.
Villavicencio, Leon
Kelley-Baker, Tara
Horrey, William J.
Molnar, Lisa J.
Eby, David W.
Mielenz, Thelma J.
Hill, Linda
DiGuiseppi, Carolyn
Strogatz, David
Li, Guohua
author_facet Svancara, Austin M.
Villavicencio, Leon
Kelley-Baker, Tara
Horrey, William J.
Molnar, Lisa J.
Eby, David W.
Mielenz, Thelma J.
Hill, Linda
DiGuiseppi, Carolyn
Strogatz, David
Li, Guohua
author_sort Svancara, Austin M.
collection PubMed
description The study sought to understand the relationship between in-vehicle technologies (IVTs) and self-regulatory behaviors among older drivers. In a large multi-site study of 2990 older drivers, self-reported data on the presence of IVTs and avoidance of various driving behaviors (talking on a mobile phone while driving, driving at night, driving in bad weather, and making left turns when there is no left turn arrow) were recorded. Self-reports were used to identify whether avoidance was due to self-regulation. Hierarchical logistic regressions were used to determine whether the presence of a particular IVT predicted the likelihood of a given self-regulatory behavior after controlling for other factors. Results suggest that the presence of Integrated Bluetooth/Voice Control systems are related to a reduced likelihood of avoiding talking on a mobile phone while driving due to self-regulation (OR = 0.37, 95% CI = 0.29–0.47). The presence of a Navigation Assistance system was related to a reduced likelihood of avoiding talking on a mobile phone while driving (OR= 0.65, 95% CI = 0.50–0.84) and avoiding driving at night due to self-regulation (OR = 0.80, 95% CI = 0.64–1.00). Present findings suggest in-vehicle technologies may differently influence the self-regulatory behaviors of older drivers.
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spelling pubmed-73449042020-07-09 The Relationship between in-Vehicle Technologies and Self-Regulation among Older Drivers Svancara, Austin M. Villavicencio, Leon Kelley-Baker, Tara Horrey, William J. Molnar, Lisa J. Eby, David W. Mielenz, Thelma J. Hill, Linda DiGuiseppi, Carolyn Strogatz, David Li, Guohua Geriatrics (Basel) Article The study sought to understand the relationship between in-vehicle technologies (IVTs) and self-regulatory behaviors among older drivers. In a large multi-site study of 2990 older drivers, self-reported data on the presence of IVTs and avoidance of various driving behaviors (talking on a mobile phone while driving, driving at night, driving in bad weather, and making left turns when there is no left turn arrow) were recorded. Self-reports were used to identify whether avoidance was due to self-regulation. Hierarchical logistic regressions were used to determine whether the presence of a particular IVT predicted the likelihood of a given self-regulatory behavior after controlling for other factors. Results suggest that the presence of Integrated Bluetooth/Voice Control systems are related to a reduced likelihood of avoiding talking on a mobile phone while driving due to self-regulation (OR = 0.37, 95% CI = 0.29–0.47). The presence of a Navigation Assistance system was related to a reduced likelihood of avoiding talking on a mobile phone while driving (OR= 0.65, 95% CI = 0.50–0.84) and avoiding driving at night due to self-regulation (OR = 0.80, 95% CI = 0.64–1.00). Present findings suggest in-vehicle technologies may differently influence the self-regulatory behaviors of older drivers. MDPI 2020-04-16 /pmc/articles/PMC7344904/ /pubmed/32316266 http://dx.doi.org/10.3390/geriatrics5020023 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Svancara, Austin M.
Villavicencio, Leon
Kelley-Baker, Tara
Horrey, William J.
Molnar, Lisa J.
Eby, David W.
Mielenz, Thelma J.
Hill, Linda
DiGuiseppi, Carolyn
Strogatz, David
Li, Guohua
The Relationship between in-Vehicle Technologies and Self-Regulation among Older Drivers
title The Relationship between in-Vehicle Technologies and Self-Regulation among Older Drivers
title_full The Relationship between in-Vehicle Technologies and Self-Regulation among Older Drivers
title_fullStr The Relationship between in-Vehicle Technologies and Self-Regulation among Older Drivers
title_full_unstemmed The Relationship between in-Vehicle Technologies and Self-Regulation among Older Drivers
title_short The Relationship between in-Vehicle Technologies and Self-Regulation among Older Drivers
title_sort relationship between in-vehicle technologies and self-regulation among older drivers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344904/
https://www.ncbi.nlm.nih.gov/pubmed/32316266
http://dx.doi.org/10.3390/geriatrics5020023
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