Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783565815958732800 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7397667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT hilllindal medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT andrewshoward medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT liguohua medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT diguiseppicarolyng medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT betzmariane medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT strogatzdavid medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT pepapatricia medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT ebydavidw medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT merledavid medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT kelleybakertara medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT jonesvanya medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy AT pittssamantha medicationuseanddrivingpatternsinolderdriverspreliminaryfindingsfromthelongroadstudy |