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Computing sleep deficiency.

Thomas C Erren1, J Valerie Groß1, Philip Lewis1

  • 1Institute and Policlinic for Occupational Medicine, Environmental Medicine and Prevention Research, University Hospital of Cologne, Cologne, Germany.

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|November 22, 2017
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Summary

This paper explores methods to quantify sleep deficiency in public health research. It introduces five approaches, including social jetlag, to measure sleep exposure and inform disease studies.

Keywords:
SJLcircadian disruptiondeficient sleepperfect daysleep durationsleep qualitysleep timing

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Area of Science:

  • Public Health
  • Epidemiology
  • Sleep Science

Background:

  • Sleep deficiency is a significant public health issue.
  • Epidemiological studies are crucial for public health evaluations.
  • Quantifying sleep deficiency as exposure is challenging.

Purpose of the Study:

  • To explore methods for computing sleep deficiency in observational research.
  • To adapt social jetlag and chronodisruption concepts for sleep deficiency measurement.
  • To propose novel approaches for quantifying sleep exposure.

Main Methods:

  • Theoretical paper discussing five approaches to quantify sleep deficiency.
  • Focus on sleep timing and duration.
  • Utilizing social jetlag and chronodisruption rationale.

Main Results:

  • One established and four untested methods for sleep deficiency quantification are presented.
  • Each method has distinct strengths and limitations.
  • Social jetlag and chronodisruption offer potential frameworks for measurement.

Conclusions:

  • Developing robust measures for sleep deficiency is essential for epidemiological studies.
  • Collaboration between laboratory, field, and epidemiological research is vital.
  • Understanding sleep deficiency's role in disease requires accurate exposure assessment.