Correlates of sleep quality in midlife and beyond: a machine learning analysis.

Journal: Sleep medicine
Published Date: Mar 27, 2017

Abstract

OBJECTIVES: In older adults, traditional metrics derived from polysomnography (PSG) are not well correlated with subjective sleep quality. Little is known about whether the association between PSG and subjective sleep quality changes with age, or whether quantitative electroencephalography (qEEG) is associated with sleep quality. Therefore, we examined the relationship between subjective sleep quality and objective sleep characteristics (standard PSG and qEEG) across middle to older adulthood.

Authors

  • Katherine A Kaplan
    Department of Psychiatry and Behavioral Sciences, Stanford Center for Sleep Sciences and Medicine, Stanford University, Stanford, CA 94305, USA.
  • Prajesh P Hardas
    Department of Psychiatry and Behavioral Sciences, Stanford Center for Sleep Sciences and Medicine, Stanford University, Stanford, CA 94305, USA.
  • Susan Redline
    Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Harvard University Boston, MA.
  • Jamie M Zeitzer
    Department of Psychiatry and Behavioral Sciences, Stanford Center for Sleep Sciences and Medicine, Stanford University, Stanford, CA 94305, USA; Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA 94304, USA. Electronic address: jzeitzer@stanford.edu.

Keywords

External Resources

Popular Topics
Recent Journals