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Association between Self-reported Sleep Quality and Single-task Gait in Young Adults: A Study Using Machine Learning.

Joel Martin1, Haikun Huang2, Ronald Johnson1

  • 1School of Kinesiology, Sports Medicine Assessment Research & Testing (SMART) Laboratory, George Mason University, Manassas, VA, United States of America.

Sleep Science (Sao Paulo, Brazil)
|January 10, 2024
PubMed
Summary

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This summary is machine-generated.

Biomechanical analysis of gait in young adults shows poor prediction accuracy for self-reported sleep quality. Poor sleepers exhibit altered pelvic tilt and gait initiation, suggesting subtle gait changes linked to sleep hygiene.

Area of Science:

  • Biomechanics
  • Sleep Science
  • Data Science

Background:

  • Subjective sleep quality is crucial for overall health.
  • Gait analysis offers potential objective measures for health status.
  • Previous studies suggest links between gait and sleep, but replication is needed.

Purpose of the Study:

  • To replicate a study investigating biomechanical correlates of gait and sleep quality in young adults.
  • To identify specific gait parameters associated with self-reported sleep quality.
  • To assess the predictive accuracy of machine learning models for sleep quality based on gait data.

Main Methods:

  • Recruited 123 young adults to complete the Pittsburgh Sleep Quality Inventory.
  • Collected gait data from 53 participants using wearable inertial measurement sensors.
Keywords:
lower extremity biomechanicssleepwalking

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  • Applied machine learning models (AdaBoost, Support-Vector classifiers) and ANCOVA for analysis.

    • Main Results:

    • AdaBoost models achieved a correlation coefficient of 0.77; Support-Vector classifiers had 62% accuracy.
    • Key features for poor sleep quality included pelvic tilt and gait initiation.
    • Poor sleepers showed decreased pelvic tilt changes, especially when initiating gait after turns, and difficulty maintaining gait speed.

    Conclusions:

    • Single-task gait analysis has limited accuracy in predicting subjective sleep quality in young adults.
    • Gait variations, particularly in pelvic tilt and gait initiation, are associated with poor sleep hygiene.
    • Future research with larger samples and longitudinal designs may better elucidate the relationship between gait and objective sleep measures.