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Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
10:16

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Published on: April 7, 2020

Does subjective sleepiness predict objective sleep propensity?

Michelle Short1, Leon Lack, Helen Wright

  • 1School of Psychology, Flinders University, Adelaide, South Australia, Australia. michelle.short@flinders.edu.au

Sleep
|February 4, 2010
PubMed
Summary
This summary is machine-generated.

Subjective sleepiness ratings strongly correlate with objective sleep measures when assessed within individuals over time. This relationship holds across different conditions, suggesting methodology impacts prior findings.

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08:20

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Area of Science:

  • Sleep science
  • Psychophysiology
  • Chronobiology

Background:

  • Variability exists in correlations between subjective sleepiness and objective sleep latency.
  • Prior research has not consistently linked subjective and objective sleepiness measures.

Purpose of the Study:

  • To investigate if eliciting subjective sleepiness judgments after a brief rest period strengthens the association with objective sleep measures.
  • To examine the impact of different conditions on the subjective-objective sleepiness relationship.

Main Methods:

  • 12 young adults completed subjective sleepiness assessments (Stanford Sleepiness Scale, visual analogue scale) under three conditions (eyes-closed, eyes-open, reaction time task).
  • Objective sleep latency was measured using polysomnography.
  • Assessments were repeated 12 times between 20:00 and 01:30 in a sleep laboratory.

Main Results:

  • High and significant within-subjects correlations (mean ≈ -0.63) were found between subjective and objective sleepiness.
  • No significant differences in correlations were observed across the three assessment conditions.
  • Across-subjects correlations were weaker (mean ≈ -0.42) and near zero when controlling for clock time.

Conclusions:

  • Strong within-subjects correlations between subjective and objective sleepiness are achievable in controlled settings across circadian variations.
  • Methodological approaches, particularly within-subject analyses over time, are crucial for accurately capturing the relationship.
  • Variability in previous research may stem from the correlational methods employed.