Interaction of Person-Affect-Cognition-Execution-Based Digital Interventions for Sleep Procrastination in Chinese...

Area of Science:

• Behavioral Science
• Sleep Medicine
• Digital Health

Background:

• Sleep procrastination is common and harmful among university students.
• Existing digital interventions often lack theoretical grounding and clinical differentiation.

Purpose of the Study:

• To assess the feasibility and preliminary effects of a novel intervention for sleep procrastination.
• The intervention is based on the Interaction of Person-Affect-Cognition-Execution (I-PACE) model.
• Compare online, offline, and control delivery methods for the intervention.

Main Methods:

• A pilot study involving 46 students with high sleep procrastination.
• Participants were randomized into online (n=16), offline (n=16), or control (n=14) groups.
• An 8-week intervention targeting I-PACE components, with subjective and objective (wearable) measures collected.

Main Results:

• Subjective sleep procrastination improved similarly across all groups.
• Objective sleep procrastination showed a significant group-by-time interaction (P=.03).
• The online group exhibited numerically earlier sleep onset, though not statistically significant compared to other groups.

Conclusions:

• An app-based, I-PACE-grounded intervention shows potential for influencing objective sleep timing.
• Further research with larger sample sizes and mediation analysis is required.
• Subjective improvements were comparable across online, offline, and control conditions.