4.3 Article

Injury crashes and the relationship with disease causing excessive daytime sleepiness

Journal

TRAFFIC INJURY PREVENTION
Volume 22, Issue 4, Pages 272-277

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/15389588.2021.1894639

Keywords

Road traffic crashes; sleep apnea; Parkinson’ s; epilepsy; sleep disorders

Funding

  1. project ADAS&ME - European Union's Horizon 2020 research and innovation program [688900]
  2. Swedish Transport Agency
  3. H2020 Societal Challenges Programme [688900] Funding Source: H2020 Societal Challenges Programme

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This study aimed to understand the relationship between common diseases related to excessive daytime sleepiness (EDS) and traffic crashes. It found that drivers with Parkinson's or epilepsy were more likely to be involved in single-vehicle crashes, while drivers with other sleep disorders and Parkinson's/epilepsy were more likely to sustain moderate/severe injuries in multiple-vehicle crashes.
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.

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