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Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study

BACKGROUND: The potential for impaired driving due to medication use can occur at any age, though older adults are more likely to take multiple prescribed medications and experience side effects that may affect driving ability. The purpose of this study was to characterize the relationship between m...

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Autores principales: Hill, Linda L., Andrews, Howard, Li, Guohua, DiGuiseppi, Carolyn G., Betz, Marian E., Strogatz, David, Pepa, Patricia, Eby, David W., Merle, David, Kelley-Baker, Tara, Jones, Vanya, Pitts, Samantha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397667/
https://www.ncbi.nlm.nih.gov/pubmed/32741358
http://dx.doi.org/10.1186/s40621-020-00265-y
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author Hill, Linda L.
Andrews, Howard
Li, Guohua
DiGuiseppi, Carolyn G.
Betz, Marian E.
Strogatz, David
Pepa, Patricia
Eby, David W.
Merle, David
Kelley-Baker, Tara
Jones, Vanya
Pitts, Samantha
author_facet Hill, Linda L.
Andrews, Howard
Li, Guohua
DiGuiseppi, Carolyn G.
Betz, Marian E.
Strogatz, David
Pepa, Patricia
Eby, David W.
Merle, David
Kelley-Baker, Tara
Jones, Vanya
Pitts, Samantha
author_sort Hill, Linda L.
collection PubMed
description BACKGROUND: The potential for impaired driving due to medication use can occur at any age, though older adults are more likely to take multiple prescribed medications and experience side effects that may affect driving ability. The purpose of this study was to characterize the relationship between medications and driving safety behaviors. METHODS: Data for this study came from the five-site Longitudinal Research on Aging Drivers (LongROAD) project. Participants were active drivers, age 65–79 years at enrollment, and patients at one of the 5 participating sites. Medication names and doses were obtained at baseline based on the “brown-bag review” method. Medications were coded using the American Hospital Formulary Service system. Driving data were collected by a GPS accelerometer installed in the study participants’ main vehicles. RESULTS: Medication data were available for 2949 (98.6%) of the 2990 participants, and 2898 (96.9% of all participants) had both medication data and at least 30 recorded days of driving. The median number of medications taken per study participant was seven, with a range of 0–51. Total number of medications was significantly associated with a higher rapid deceleration rate. Certain medication classes were significantly associated with other driving outcomes, including central nervous system agents (more speeding events), hormones and gastrointestinal medications (more rapid decelerations), electrolytes (fewer rapid decelerations), and antihistamines (greater right to left turn ratio). CONCLUSIONS: Older adult drivers are taking large quantities of prescription and non-prescription medications that may affect their driving safety. Certain medication classes are associated with potentially adverse driving patterns, such as speeding and rapid decelerations, while others are associated with potentially protective maneuvers, such as right hand turning. Further research is warranted to identify and mitigate potential adverse effects of such medications on driving safety in older adults.
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spelling pubmed-73976672020-08-06 Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study Hill, Linda L. Andrews, Howard Li, Guohua DiGuiseppi, Carolyn G. Betz, Marian E. Strogatz, David Pepa, Patricia Eby, David W. Merle, David Kelley-Baker, Tara Jones, Vanya Pitts, Samantha Inj Epidemiol Original Contribution BACKGROUND: The potential for impaired driving due to medication use can occur at any age, though older adults are more likely to take multiple prescribed medications and experience side effects that may affect driving ability. The purpose of this study was to characterize the relationship between medications and driving safety behaviors. METHODS: Data for this study came from the five-site Longitudinal Research on Aging Drivers (LongROAD) project. Participants were active drivers, age 65–79 years at enrollment, and patients at one of the 5 participating sites. Medication names and doses were obtained at baseline based on the “brown-bag review” method. Medications were coded using the American Hospital Formulary Service system. Driving data were collected by a GPS accelerometer installed in the study participants’ main vehicles. RESULTS: Medication data were available for 2949 (98.6%) of the 2990 participants, and 2898 (96.9% of all participants) had both medication data and at least 30 recorded days of driving. The median number of medications taken per study participant was seven, with a range of 0–51. Total number of medications was significantly associated with a higher rapid deceleration rate. Certain medication classes were significantly associated with other driving outcomes, including central nervous system agents (more speeding events), hormones and gastrointestinal medications (more rapid decelerations), electrolytes (fewer rapid decelerations), and antihistamines (greater right to left turn ratio). CONCLUSIONS: Older adult drivers are taking large quantities of prescription and non-prescription medications that may affect their driving safety. Certain medication classes are associated with potentially adverse driving patterns, such as speeding and rapid decelerations, while others are associated with potentially protective maneuvers, such as right hand turning. Further research is warranted to identify and mitigate potential adverse effects of such medications on driving safety in older adults. BioMed Central 2020-08-03 /pmc/articles/PMC7397667/ /pubmed/32741358 http://dx.doi.org/10.1186/s40621-020-00265-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Original Contribution
Hill, Linda L.
Andrews, Howard
Li, Guohua
DiGuiseppi, Carolyn G.
Betz, Marian E.
Strogatz, David
Pepa, Patricia
Eby, David W.
Merle, David
Kelley-Baker, Tara
Jones, Vanya
Pitts, Samantha
Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study
title Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study
title_full Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study
title_fullStr Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study
title_full_unstemmed Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study
title_short Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study
title_sort medication use and driving patterns in older drivers: preliminary findings from the longroad study
topic Original Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397667/
https://www.ncbi.nlm.nih.gov/pubmed/32741358
http://dx.doi.org/10.1186/s40621-020-00265-y
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