Investigating sleep, stress, and mood dynamics via temporal network analysis.

ABSTRACT:

Objective/background

Prior research has emphasized the bidirectional relationships between sleep, stress, and affective states, such as depression. Given the inherent variability and fluctuations associated with sleep, assessing how sleep and affective variables function within a dynamic system may help further uncover possible causes and consequences of sleep disturbances, as well as find candidate targets for intervention. To this end, we examined dynamic relationships between self-reported stress, depressed mood, and clinically-relevant sleep parameters via temporal network analysis.

Methods

Participants were 401 nurses (92% female, 78% White, M_age = 39.47 years) who completed 14 days of sleep diaries incorporating self-reported stress and depression, as well a

SUBMITTER: Jordan DG 

PROVIDER: S-EPMC10006381 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature