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Related Experiment Video

Updated: Feb 18, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
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Objective Versus Self-Reported Sleep Quality at High Altitude.

Paul J Anderson1, Christina M Wood-Wentz2, Kent R Bailey2

  • 1Human Integrative and Environmental Physiology Laboratory, Mayo Clinic, Rochester, Minnesota.

High Altitude Medicine & Biology
|November 28, 2017
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Summary

Self-reported sleep quality at high altitude did not correlate with objective sleep measures like efficiency or oxygen saturation. Objective sleep data, not subjective reports, should guide acute mountain sickness research.

Keywords:
Lake Louise Symptom Scoreacute mountain sicknesspolysomnographyself-reported sleep quality

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Area of Science:

  • Altitude Medicine
  • Sleep Science
  • Physiology

Background:

  • Previous research indicates a weak link between polysomnography and acute mountain sickness (AMS) diagnosis via the Lake Louise Symptom Questionnaire (LLSQ).
  • The relationship between LLSQ sleep quality reports and objective polysomnography findings remains unexplored.

Purpose of the Study:

  • To compare self-reported sleep quality from the LLSQ with objective polysomnography data in individuals at high altitude.
  • To assess the correspondence between subjective sleep complaints and objective sleep parameters.

Main Methods:

  • Sixty-three subjects underwent overnight polysomnography and completed the LLSQ upon awakening after rapid transport to the South Pole (3200m).
  • LSQ sleep responses were compared with polysomnography results, including sleep efficiency, oxygen saturation, and apnea-hypopnea index (AHI).

Main Results:

  • No statistically significant differences in median sleep efficiency, mean oxygen saturation, or median AHI were found across groups reporting different sleep quality levels (no problems, some problems, poor sleep).
  • Self-reported sleep quality varied, but objective measures showed no significant association with these subjective reports.

Conclusions:

  • Subjective sleep quality reports do not align with objective sleep measures at high altitude.
  • Future studies on objective sleep quality and AMS development should exclude LLSQ sleep questions from scoring algorithms.