Skin temperature as a predictor of on-the-road driving performance in people with central disorders of hypersomnolence.

daytime sleepiness fitness to drive idiopathic hypersomnia narcolepsy thermoregulation

Journal

Journal of sleep research
ISSN: 1365-2869
Titre abrégé: J Sleep Res
Pays: England
ID NLM: 9214441

Informations de publication

Date de publication:
18 Sep 2023
Historique:
revised: 18 08 2023
received: 21 04 2023
accepted: 30 08 2023
medline: 18 9 2023
pubmed: 18 9 2023
entrez: 18 9 2023
Statut: aheadofprint

Résumé

Excessive daytime sleepiness is the core symptom of central disorders of hypersomnolence (CDH) and can directly impair driving performance. Sleepiness is reflected in relative alterations in distal and proximal skin temperature. Therefore, we examined the predictive value of skin temperature on driving performance. Distal and proximal skin temperature and their gradient (DPG) were continuously measured in 44 participants with narcolepsy type 1, narcolepsy type 2 or idiopathic hypersomnia during a standardised 1-h driving test. Driving performance was defined as the standard deviation of lateral position (SDLP) per 5 km segment (equivalent to 3 min of driving). Distal and proximal skin temperature and DPG measurements were averaged over each segment and changes over segments were calculated. Mixed-effect model analyses showed a strong, quadratic association between proximal skin temperature and SDLP (p < 0.001) and a linear association between DPG and SDLP (p < 0.021). Proximal skin temperature changes over 3 to 15 min were predictive for SDLP. Moreover, SDLP increased over time (0.34 cm/segment, p < 0.001) and was higher in men than in women (3.50 cm, p = 0.012). We conclude that proximal skin temperature is a promising predictor for real-time assessment of driving performance in people with CDH.

Identifiants

pubmed: 37720977
doi: 10.1111/jsr.14045
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14045

Subventions

Organisme : Ministerie van Infrastructuur en Milieu

Informations de copyright

© 2023 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society.

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Auteurs

Veronique E C Vael (VEC)

Stichting Epilepsie Instellingen Nederland (SEIN), Sleep-Wake Centre, Heemstede, The Netherlands.
Leiden University Medical Centre, Department of Neurology, Leiden, The Netherlands.

Denise Bijlenga (D)

Stichting Epilepsie Instellingen Nederland (SEIN), Sleep-Wake Centre, Heemstede, The Netherlands.
Leiden University Medical Centre, Department of Neurology, Leiden, The Netherlands.

Mink S Schinkelshoek (MS)

Stichting Epilepsie Instellingen Nederland (SEIN), Sleep-Wake Centre, Heemstede, The Netherlands.
Leiden University Medical Centre, Department of Neurology, Leiden, The Netherlands.

Nick N J J M van der Sluiszen (NNJJM)

Maastricht University, Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht, The Netherlands.

Aniek Remmerswaal (A)

Stichting Epilepsie Instellingen Nederland (SEIN), Sleep-Wake Centre, Heemstede, The Netherlands.

Sebastiaan Overeem (S)

Kempenhaeghe, Centre for Sleep Medicine, Heeze, The Netherlands.
Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, The Netherlands.

Johannes G Ramaekers (JG)

Maastricht University, Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht, The Netherlands.

Annemiek Vermeeren (A)

Maastricht University, Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht, The Netherlands.

Gert Jan Lammers (GJ)

Stichting Epilepsie Instellingen Nederland (SEIN), Sleep-Wake Centre, Heemstede, The Netherlands.
Leiden University Medical Centre, Department of Neurology, Leiden, The Netherlands.

Rolf Fronczek (R)

Stichting Epilepsie Instellingen Nederland (SEIN), Sleep-Wake Centre, Heemstede, The Netherlands.
Leiden University Medical Centre, Department of Neurology, Leiden, The Netherlands.

Classifications MeSH