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In-the-wild exploration of the impact of the lunar cycle on sleep in a university cohort with Oura Rings

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Adequate sleep is an essential part of human life. The cumulative effects of sleep deprivation and sleep disorders are associated with a wide range of negative health effects and can cause issues with cognitive readiness. Using wearable physiological-sensing devices to monitor sleep and sleep patterns could lead to interventions where individuals and groups can improve their lives. In this study, we analyzed in-the-wild sleep data obtained from Oura Ring, a ring-shaped wearable device specializing in sleep tracking, for 74 university students over a minimum period of 5 months. We investigated the influence of the lunar cycle on sleep and found that the periodicity of the moon affects sleep. Since the lunar cycle has shown to to affect sleep duration and quality, it provides an interesting test-case for in-the-wild data collection form a large cohort. The results of this paper show the potential and limitations of physiological tracking for cohorts in an in-the-wild context.

Original languageEnglish
Title of host publicationAHs' 2024 - Augmented Humans 2024
EditorsSteeven Villa, Yun Suen Pai
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages259-262
Number of pages4
ISBN (Electronic)9798400709807
DOIs
Publication statusPublished - 2024
EventAugmented Humans International Conference 2024 - Monash University, Caulfield Campus, Caulfield, Australia
Duration: 4 Apr 20246 Apr 2024
https://augmented-humans.org/ (Website)
https://dl.acm.org/doi/proceedings/10.1145/3652920 (Proceedings)

Conference

ConferenceAugmented Humans International Conference 2024
Abbreviated titleAHs 2024
Country/TerritoryAustralia
CityCaulfield
Period4/04/246/04/24
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cohort analysis
  • in-the-wild
  • physiological sensing
  • wearables

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