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  1. Predicting duration of sleep from the three process model of regulation of alertness.

    Article - En anglais

    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.

    Results

    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

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 96-0108938

    Code Inist : 002B29C01. Création : 199608.