Digital Sleep Disruption: Unraveling the Network Structure of Technology Use and Sleep Problems Through Network...

Area of Science:

• Digital Health
• Sleep Science
• Network Analysis

Background:

• Sleep problems are a growing concern in the digital era.
• Previous research often examined technology-sleep links in isolation.
• This study uses network analysis to explore interconnected digital factors and sleep issues.

Purpose of the Study:

• To investigate the complex relationships between multiple technology-related factors and sleep problems.
• To identify direct and indirect pathways linking digital behaviors to sleep disruption.
• To provide empirical guidance for interventions targeting technology-induced sleep problems.

Main Methods:

• Network analysis of 9,443 Chinese adults.
• Assessed screen time, device use, social media anxiety, information overload, blue light exposure, circadian rhythm, gaming addiction, and work-life integration.
• Excluded participants with sleep disorders, shift work, or recent time zone travel.

Main Results:

• Blue light exposure showed the strongest direct link to sleep problems (r=0.31).
• Circadian rhythm disturbance was also a significant direct factor (r=0.26).
• Screen time, bedtime device use, and virtual social pressure had indirect effects via mediators like online gaming addiction and social media anxiety.

Conclusions:

• Network analysis reveals multifaceted links between technology use and sleep problems.
• Interventions should address both direct physiological effects (e.g., blue light) and indirect psychological pathways.
• Identifying high-centrality factors offers targeted strategies for mitigating technology-induced sleep disruption.