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GeNeDis 2014 pp 93-100 | Cite as

The Effects of Aging on Sleep Architecture in Healthy Subjects

  • Georg Dorffner
  • Martin Vitr
  • Peter Anderer
Conference paper
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 821)

Abstract

This chapter presents normative data on healthy sleep, as measured by polysomnography (PSG), from “supernormal” subjects across the age range from 20 to about 90 years. The data originates from the SIESTA project database established in the late 1990s. While that data has been published and used in research in many ways, the novelty of the current analysis is (a) the focus on normative data following the latest sleep staging standard (AASM 2012), and (b) the results after narrowing down the data set by excluding outliers due to disturbed sleep pattern that can occur in a sleep lab and are thus not examples of “normal” sleep. Results demonstrate interesting dependencies of sleep architecture on age, in particular a reduction in total sleep time and changes in sleep stage distributions toward lighter sleep, which differ in detail between the two genders.

Keywords

Sleep Stage Pittsburgh Sleep Quality Index Sleep Latency Total Sleep Time Sleep Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Section for Artificial Intelligence, Center for Medical Statistics, Informatics and Intelligent SystemsMedical University of ViennaViennaAustria
  2. 2.The Siesta Group GmbHViennaAustria

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