filtness_Injury crashes and the relationship with disease causing excessive daytime sleepiness.pdf (1.55 MB)
Download file

Injury crashes and the relationship with disease causing excessive daytime sleepiness

Download (1.55 MB)
journal contribution
posted on 30.03.2021, 15:56 authored by Åsa Forsman, Anna Anund, Marie Skyving, Ashleigh FiltnessAshleigh Filtness
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.


European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 688900.



  • Design and Creative Arts


  • Design

Published in

Traffic Injury Prevention








Taylor & Francis


VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Taylor & Francis under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND 4.0). Full details of this licence are available at:

Acceptance date


Publication date


Copyright date









Dr Ashleigh Filtness. Deposit date: 26 March 2021