Tracking Subjective Sleep Quality and Mood With Mobile Sensing: Multiverse Study.

ABSTRACT:

Background

Sleep influences moods and mood disorders. Existing methods for tracking the quality of people's sleep are laborious and obtrusive. If a method were available that would allow effortless and unobtrusive tracking of sleep quality, it would mark a significant step toward obtaining sleep data for research and clinical applications.

Objective

Our goal was to evaluate the potential of mobile sensing data to obtain information about a person's sleep quality. For this purpose, we investigated to what extent various automatically gathered mobile sensing features are capable of predicting (1) subjective sleep quality (SSQ), (2) negative affect (NA), and (3) depression; these variables are associated with objective sleep quality. Through a multiverse analysis, we examined h

SUBMITTER: Niemeijer K 

PROVIDER: S-EPMC8976254 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature