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Related Experiment Video

Updated: Mar 6, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
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Sleep apps and behavioral constructs: A content analysis.

Diana S Grigsby-Toussaint1, Jong Cheol Shin2, Dayanna M Reeves2

  • 1Department of Kinesiology and Community Health, Division of Nutritional Sciences, University of Illinois Urbana Champaign, United States.

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Summary
This summary is machine-generated.

Sleep apps often lack strong behavioral theory grounding. While some constructs like goal setting are common, overall scores are low, indicating room for improvement in sleep hygiene app development.

Keywords:
AppsHealth behaviorMhealthMobile healthSleep

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Area of Science:

  • Digital Health
  • Behavioral Science
  • Mobile Health (mHealth)

Background:

  • Sleep apps are popular health tools, yet their theoretical underpinnings are poorly understood.
  • Existing research lacks comprehensive analysis of behavioral theory integration in sleep applications.

Purpose of the Study:

  • To evaluate the extent to which popular sleep apps incorporate established behavioral constructs.
  • To assess the relationship between behavioral construct scores and user ratings of sleep apps.

Main Methods:

  • A systematic review and coding of 35 sleep apps from Google Play and Apple iTunes.
  • Development of a coding instrument to identify 19 theoretical behavioral constructs within apps.
  • Calculation of mean behavior construct scores (BCS) and comparison with app ratings and pricing models.

Main Results:

  • The average BCS across all analyzed sleep apps was 34%, with significant variation (5%-84%).
  • Commonly included constructs were realistic goal setting (86%), time management (77%), and self-monitoring (66%).
  • Paid apps demonstrated higher persuasive technology scores than free apps, but BCS did not significantly correlate with user ratings.

Conclusions:

  • Current sleep apps have limited integration of behavioral science principles, despite their popularity.
  • There is a significant opportunity to enhance sleep apps by incorporating evidence-based behavioral strategies to promote sustainable sleep hygiene.
  • Future app development should focus on robust theoretical frameworks to improve user engagement and sleep outcomes.