1113 A Personalized Smartphone App Improves Sleep and Stress in Poor Sleepers: A Randomized Wait-List Controlled Trial

Abstract Introduction Smartphone applications (Apps) offer a highly scalable, engaging, and cost-effective approach to improving sleep-promoting behaviors and attitudes. In this randomized wait-list controlled trial, we evaluated the efficacy of a novel smartphone app, the Dein Schlaf Dein Tag app from SleepScore Labs, designed to objectively measure sleep via PSG-validated sonar methods and improve sleep by providing personalized, dynamic, and evidenced-based sleep and circadian advice and education founded in the principles of sleep hygiene and cognitive-behavioral skills. Methods A preliminary analysis of 412 participants with subclinical poor sleep (Regensburg Insomnia Scale score 13-24) randomized to either an App/intervention group (n=128) or a waitlist control group (n=298) was conducted. Changes in subjective sleep quality, perceived stress, and quality of life were measured using validated questionnaires at baseline, 6-weeks, and 12-week time-points. Statistical significance was tested via the interaction of an ANOVA (factor 1: app group vs. waitlist control; factor 2: baseline vs. 6 and 12 weeks). Results At both 6 and 12-week follow-up assessments, perceived sleep quality as measured by the sleep quality component of the Schlaffragebogen-B (SF-B) significantly improved among the App/intervention group when compared with controls (12-week effect size 0.646 App vs. 0.250 control group, F: 11.7, p=0.0007). Overall sleep problems as measured by the PSQI also significantly improved at 6 and 12-weeks among the App group when compared with controls (12-week effect size -0.448 app vs. -0.172 control, F: 7.5, p=0.0065). Feelings of being refreshed after sleep significantly improved among the App/intervention group after both 6 and 12-week assessments as measured by the GES component of the SF-B (12-week effect size 0.429 app vs. 0.143 control, F: 5.4, p=0.002). At 12-weeks, perceived stress significantly improved among the App/intervention group as measured using the Perceived Stress Scale (12-week effect size -0.526 app vs. -0.235 control, F: 4.1, p=0.0436), but not at 6-weeks (p=0.08). No significant differences in quality of life as measured using the SF-12 were observed between groups. Conclusion This randomized controlled trial demonstrated that a personalized and dynamic sleep improvement and measurement App can improve perceived sleep and stress in individuals with poor sleep. Support (if any) SleepScore Labs and ResMed Science Center