Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Predicting road crashes from a mathematical model of alertness regulation--The Sleep/Wake Predictor.
Stockholm University, Faculty of Social Sciences, Stress Research Institute.
Stockholm University, Faculty of Social Sciences, Stress Research Institute.
2008 (English)In: Accid Anal Prev, ISSN 0001-4575, Vol. 40, no 4, 1480-5 p.Article in journal (Other academic) Published
Abstract [en]

Predicting road crashes from a mathematical model of alertness regulation--The Sleep/Wake Predictor.

Akerstedt T, Connor J, Gray A, Kecklund G.

Stress Research Institute, Stockholm University and Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. torbjorn.akerstedt@ki.se

Sleepiness is related to factors such as the time of day, the time since awakening and the duration of prior sleep. The present study investigated whether actual road crashes could be predicted from a mathematical model based on these three factors (the Sleep/Wake Predictor-SWP). Data were derived from a population-based case-control study of serious injury crashes. Data on accident time (or control sampling time) and start and end of prior sleep were entered into the model (blind). The predicted sleepiness values were used in logistic regressions. The results showed a highly significant odds ratio (OR)=1.72 (confidence interval=1.41-2.09) for each incremental step of sleepiness on the output sleepiness scale (nine steps). There was also a significant interaction with blood alcohol level, showing high OR values for high sleepiness levels and alcohol levels above 50 mg% (0.05 g/dl). It was concluded that the model is a good predictor of road crashes beyond that of alcohol level, and that interaction between the two carries a very high risk.

Place, publisher, year, edition, pages
2008. Vol. 40, no 4, 1480-5 p.
Keyword [en]
Accidents; Traffic/*statistics & numerical data, Activity Cycles, Adolescent, Adult, Aged, Aged; 80 and over, Case-Control Studies, Cluster Analysis, Female, Humans, Logistic Models, Male, Middle Aged, New Zealand, Predictive Value of Tests, Sleep Stages, Time Factors, Wakefulness
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:su:diva-14882ISI: 000258166800028PubMedID: 18606281OAI: oai:DiVA.org:su-14882DiVA: diva2:181402
Note
Internt publ.nr. P2667Available from: 2008-11-07 Created: 2008-11-07 Last updated: 2011-01-10Bibliographically approved

Open Access in DiVA

No full text

Other links

PubMedhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Retrieve&list_uids=18606281&dopt=Citation
By organisation
Stress Research Institute
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar

pubmed
urn-nbn

Altmetric score

pubmed
urn-nbn
Total: 134 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf