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Related Experiment Video

Updated: Nov 12, 2025

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
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Sleep time and efficiency in patients undergoing laboratory-based polysomnography.

Elizabeth I Harrison1, Robert H Roth2, Jennifer M Lobo3

  • 1Division of Child Neurology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.

Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine
|March 19, 2021
PubMed
Summary

Older age, male sex, and severe obstructive sleep apnea are linked to poor sleep quality during polysomnography. Antidepressant use may improve sleep time. These findings highlight key factors affecting objective sleep metrics.

Keywords:
polysomnographysleepsleep quality

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Area of Science:

  • Sleep Medicine
  • Clinical Research
  • Polysomnography

Background:

  • Sleep quality assessment in laboratory settings is crucial for clinical relevance.
  • Objective sleep parameters like total sleep time (TST) and sleep efficiency (SE) are key indicators.
  • Understanding factors influencing poor sleep during polysomnography is important for patient care.

Purpose of the Study:

  • To assess objective sleep quality in patients undergoing laboratory-based polysomnography.
  • To identify demographic and clinical factors associated with poor sleep quality (defined as TST ≤ 4 hours or SE ≤ 50%).

Main Methods:

  • Retrospective review of diagnostic polysomnography studies over 10 years.
  • Analysis of total sleep time (TST) and sleep efficiency (SE) as primary sleep quality markers.
  • Multivariable analysis to determine predictors of poor sleep, including age, sex, BMI, comorbidities, OSA severity, and medications.

Main Results:

  • Among 4957 patients, 11% had TST ≤ 4 hours and 8% had SE ≤ 50%.
  • Older age, male sex, and severe obstructive sleep apnea (OSA) were significantly associated with shorter sleep time and lower sleep efficiency.
  • Antidepressant use was linked to a lower likelihood of experiencing short sleep.

Conclusions:

  • Demographic factors, particularly older age and male sex, are associated with poorer objective sleep quality during polysomnography.
  • Severe obstructive sleep apnea is a significant predictor of reduced sleep time and efficiency.
  • These findings underscore the importance of considering patient characteristics when interpreting polysomnography results.