Objectives-Irregular working hours severely disturb sleep and wakefulness.
This paper presents a modification of the quantitative (computerised) three process model of regulation of alertness to predict duration of sleep in connection with irregular sleep patterns.
Methods-The model uses a circadian « C » (sinusoidal) and homeostatic « S » (exponential) component (the duration of previous periods awake and asleep), which are summed to yield predicted alertness (on a scale of 1-16).
It assumes that waking from sleep will occur at a given alertness level (S'C') when recuperation is complete.
Variables of electroencephalographic duration of sleep from two studies of irregular sleep were used to model the S and C variables in a regression approach to maximise prediction.
The model performance was cross validated against published field and laboratory data.
The model parameters were defined with a high degree of precision R2=0.99 and the validation yielded similar values R2=0.98-0.95, depending on the acrophase.
The paper also describes a simplified graphical version of the computation model seen as a two dimensional duration of sleep nomogram.
Conclusion-The model seems to predict group means for duration of sleep with high precision and may serve as a tool for evaluating work and rest schedules to reduce risks of sleep disturbances.
Mots-clés Pascal : Travail posté, Horaire travail, Sommeil, Durée, Vigilance, Modèle, Prédiction, Homme, Physiologie travail, Médecine travail
Mots-clés Pascal anglais : Shift work, Working time table, Sleep, Duration, Vigilance, Models, Prediction, Human, Occupational physiology, Occupational medicine
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0108938
Code Inist : 002B29C01. Création : 199608.