Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data.

ABSTRACT: Using polysomnography over multiple weeks to characterize an individual's habitual sleep behavior while accurate, is difficult to upscale. As an alternative, we integrated sleep measurements from a consumer sleep-tracker, smartphone-based ecological momentary assessment, and user-phone interactions in 198 participants for 2 months. User retention averaged >80% for all three modalities. Agreement in bed and wake time estimates across modalities was high (rho = 0.81-0.92) and were adrift of one another for an average of 4 min, providing redundant sleep measurement. On the ~23% of nights where discrepancies between modalities exceeded 1 h, k-means clustering revealed three patterns, each consistently expressed within a given individual. The three corresponding groups that emerged differed sys

SUBMITTER: Massar SAA 

PROVIDER: S-EPMC8172635 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature