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

Area of Science:

• Psychology
• Neuroscience
• Sleep Science

Background:

• Prior research highlights bidirectional links between sleep, stress, and depression.
• Sleep disturbances are common and fluctuate, necessitating dynamic system analysis.

Purpose of the Study:

• To investigate dynamic relationships between self-reported stress, depressed mood, and sleep parameters.
• To uncover potential causes and targets for intervention in sleep disturbances.

Main Methods:

• Temporal network analysis was used to examine data from 401 nurses over 14 days.
• Sleep diaries recorded stress, depressed mood, total sleep time, sleep efficiency, sleep onset latency, and wake after sleep onset.

Main Results:

• Total sleep time demonstrated high 'outstrength centrality,' influencing other variables like stress and sleep efficiency.
• Stress exhibited high 'instrength centrality,' being significantly impacted by variables such as depressed mood and sleep efficiency.

Conclusions:

• Total sleep time appears to be a significant source of activation within the sleep-stress-depression system.
• Findings underscore the importance of naturalistic sleep assessment and implicate total sleep time in exacerbating depressed mood and stress.