Injury crashes and the relationship with disease causing excessive daytime sleepiness
- PMID: 33769162
- DOI: 10.1080/15389588.2021.1894639
Injury crashes and the relationship with disease causing excessive daytime sleepiness
Abstract
Objective: The objective of this study was to understand the relationship between some of the most common diseases that are known to contribute to excessive daytime sleepiness (EDS) and traffic injury crashes. Specific focus was on the relationship between disease and crash type (single-vehicle or multiple-vehicle crash) and between disease and injury severity.
Methods: This registry-based study considered all passenger car drivers involved in a crash in Sweden between 2011 and 2016 who were 40 years or older at the time of the crash (n = 54,090). For each crash-involved driver, selected medical diagnoses registered from 1997 until the day before the crash were extracted from the National Patient Register. The drivers were assigned to 1 of 4 groups, depending on prior diseases: sleep apnea (SA; group 1, n = 2,165), sleep disorders (group 2, n = 724), Parkinson's or epilepsy (group 3, n = 645) and a reference group (group 4, n = 50,556). Logistic regression analysis compared single-vehicle crashes with multiple-vehicle crashes and moderately/severely injured drivers with slightly/uninjured drivers.
Results: Drivers with EDS-related diseases (groups 1-3) had higher probability of a single-vehicle crash than a multiple-vehicle crash compared to the reference group. The most sizeable effect was found for Parkinson's/epilepsy with an odds ratio (OR) of 2.5 (confidence interval [CI], 2.1-3.0). For multiple-vehicle crashes, the probability of a moderate/severe injury was higher for drivers with other sleep disorders (OR = 1.5; CI, 1.0-2.2) and Parkinson's/epilepsy (OR = 1.6; CI, 1.1-2.3) compared to the reference group.
Conclusions: This study has made first steps toward understanding the relationship between some of the most common diseases that are known to contribute to EDS and crashes. Having Parkinson's/epilepsy, in particular, elevated the probability of a single-vehicle crash compared to a multiple-vehicle crash. A single-vehicle crash was seen as indicative of causing a crash; thus, having Parkinson's/epilepsy could be interpreted as a risk factor for crash involvement. Having Parkinson's/epilepsy, as well as other sleep disorders, was also related to more severe outcomes in multiple-vehicle crashes, given that a crash occurred. This was not identified in single-vehicle crashes.
Keywords: Parkinson’s; Road traffic crashes; epilepsy; sleep apnea; sleep disorders.
Similar articles
-
Sleep deficiency and motor vehicle crash risk in the general population: a prospective cohort study.BMC Med. 2018 Mar 20;16(1):44. doi: 10.1186/s12916-018-1025-7. BMC Med. 2018. PMID: 29554902 Free PMC article.
-
Acute sleep deprivation and culpable motor vehicle crash involvement.Sleep. 2018 Oct 1;41(10). doi: 10.1093/sleep/zsy144. Sleep. 2018. PMID: 30239905
-
Driver sleepiness and risk of motor vehicle crash injuries: a population-based case control study in Fiji (TRIP 12).Injury. 2014 Mar;45(3):586-91. doi: 10.1016/j.injury.2013.06.007. Epub 2013 Jul 4. Injury. 2014. PMID: 23830198 Free PMC article.
-
Analysis of risk factors affecting driver injury and crash injury with drivers under the influence of alcohol (DUI) and non-DUI.Traffic Inj Prev. 2016 Nov 16;17(8):796-802. doi: 10.1080/15389588.2016.1168924. Epub 2016 Apr 11. Traffic Inj Prev. 2016. PMID: 27064506 Review.
-
Excessive daytime sleepiness in obstructive sleep apnea: implications for driving licenses.Sleep Breath. 2020 Mar;24(1):37-47. doi: 10.1007/s11325-019-01903-6. Epub 2019 Jul 24. Sleep Breath. 2020. PMID: 31342234 Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources