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Related Concept Videos

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The sleep cycle, an integral part of human health, consists of several stages with distinct characteristics and functions. It begins with a transition from wakefulness to sleep, known as the light sleep phase, followed by the restorative deep sleep phase, essential for physical recovery and growth. The cycle concludes with the Rapid Eye Movement (REM) phase, characterized by high brain activity and vivid dreaming. Insomnia, a prevalent sleep disorder, involves difficulty falling asleep, staying...
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Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
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Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
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Excessive Daytime Sleepiness Should Be Systematically Assessed in Individuals With Insomnia: A Population-Based Study

Julien Coelho1,2, Florian Pécune1, Alex Chanteclair1

  • 1Univ. Bordeaux, SANPSY, UMR 6033, Bordeaux, France.

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Excessive daytime sleepiness (EDS) is common in insomnia patients. A digital intervention effectively treated

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Area of Science:

  • Sleep Medicine
  • Digital Health
  • Behavioral Science

Background:

  • Insomnia and excessive daytime sleepiness (EDS) frequently co-occur, presenting a complex sleep phenotype.
  • Understanding the 'sleepy insomniac' profile and their response to digital interventions is crucial for targeted treatment.
  • The KANOPÉE application provides a novel tool for collecting sleep data and delivering personalized behavioral recommendations.

Purpose of the Study:

  • To characterize individuals experiencing both insomnia and excessive daytime sleepiness ('sleepy insomniacs').
  • To evaluate the efficacy of a 17-day digital sleep intervention in treating this specific patient group.
  • To identify comorbidities associated with the 'sleepy insomniac' phenotype.

Main Methods:

  • Analysis of data from 21,590 participants using the KANOPÉE application.
  • Classification of 'sleepy insomniacs' based on Epworth Sleepiness Scale (≥11) and Insomnia Severity Index (≥15) scores.
  • Description and exclusion of comorbidities (e.g., sleep apnea, RLS, depression) for further analysis.

Main Results:

  • 47.9% of insomnia participants reported EDS, categorizing them as 'sleepy insomniacs'.
  • Depression was the most common comorbidity among 'sleepy insomniacs'.
  • After excluding comorbidities, 44.3% of the initial insomnia group remained as 'sleepy insomniacs', often linked to middle/late insomnia symptoms.
  • The digital intervention showed similar effectiveness for 'sleepy insomniacs' compared to other insomnia groups.

Conclusions:

  • Excessive daytime sleepiness is highly prevalent in individuals with insomnia.
  • Comorbidities, especially depression, explain some cases, but a significant portion of 'sleepy insomniacs' exist without comorbidities.
  • A 17-day digital sleep intervention is effective for treating 'sleepy insomniacs', indicating the potential of digital health solutions.