Related Experiment Video
Updated: Feb 18, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
Published on: January 26, 2019
Patient-predicted sleep position vs. HST data: a tendency to underestimate supine sleep
Adam J Sorscher1, Anthony P Anzivino2, Todd Mackenzie3
1Alice Peck Day Memorial Hospital, 10 Alice Peck Day Drive, Lebanon, NH, 03766, USA. adam.sorscher@dartmouth.edu.
Purpose:
The purpose of this study is to measure people's accuracy when they estimate what proportion of their nightly sleep at home is supine vs. non-supine.
Methods:
A series of patients referred for obstructive sleep apnea (OSA) evaluation were asked if they "knew with confidence" how they slept with regard to their body position. "Yes" responders were then asked to estimate what percentage of their sleep was supine vs. non-supine. This value was compared with the actual proportion of supine vs. non-supine sleep that they exhibited in a home sleep test (HST) that followed.
Results:
We obtained data from 49 subjects who expressed that they "knew with confidence" how they sleep in terms of body position. Subjects in aggregate underestimated their proportion of supine sleep by 21.6% (p < .001). Thirty-nine subjects (80%) slept supine more in the HST whereas 8 (16%) slept supine less compared to their pre-test estimates. Using a common classification of OSA severity, 9 subjects (18%) demonstrated a more severe degree of OSA than would have occurred had they slept as they had predicted.
Conclusions:
Subjects in this study frequently underestimated their proportion of supine sleep compared to values measured in an HST. Because of the increased supine sleep they exhibited, the severity of their OSA was often greater in the test than it would have been had the subjects slept as they predicted. Sleep physicians should take into account the tendency of people to underestimate supine sleep. If patients with positional sleep apnea assert that they "always sleep laterally" when at home, they may be underestimating their true night-by-night OSA disease burden.
More Related Videos
05:51Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
Published on: February 21, 2025
04:54Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
Published on: November 8, 2024
Related Concept Videos
Blind Procedures
Anatomical Positions
The body is upright, facing forward, and standing erect.
The feet are parallel and flat on the floor.
The arms are hanging by the...
Substance Use Disorders Affecting Sleep
Understanding the concepts of physical dependence,...