Digital Management of Sleep Health

Last updated: May 30, 2025
Sponsor: Jia Xiu
Overall Status: Completed

Phase

N/A

Condition

Insomnia

Restless Leg Syndrome

Treatment

dCBT-I

Relaxing music

Clinical Study ID

NCT06481423
FE22197I
  • Ages 18-65
  • All Genders

Study Summary

The goal of this clinical trial is to explore whether cognitive behavioral intervention for insomnia(CBT-I) realized through audio, video, and articles on smartphone apps("ForSleep" developed by the investigators) can improve the sleep quality of insomnia patients. The main question it aims to answer is:

Does CBT-I delivered via smartphone apps improve sleep quality evaluated by scales in patients with insomnia?

Investigators will compare the treatment group receiving the CBT-I intervention via smartphone apps to a control group receiving relaxation training to see if there are significant improvements in sleep quality.

Participants will be asked to:

Use an app("ForSleep") designed for CBT-I to follow a structured therapy program.

Complete daily sleep diaries and periodic scales to track their sleep quality.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • Age 18-65 years old

  • Insomnia Severity Index Scale (ISI) score of 8~21

  • Proficient in the use of smartphones

  • Chinese native speaker

Exclusion

Exclusion Criteria:

  • Those with other combined sleep problems, such as apnoea syndrome, restless legsyndrome, etc.

  • Women during pregnancy

  • risky jobs that require high concentration, such as working at heights,long-distance driving, etc.

  • previous or current diagnosis of severe neurological disorders such as epilepsy

  • previous or current diagnosis of mental illness such as depression, bipolardisorder, schizophrenia, obsessive-compulsive disorder, etc.

  • history of drug or alcohol abuse

  • a significant negative risk of suicide

  • serious physical illness (e.g., cardiovascular, hepatic, renal, etc.)

Study Design

Total Participants: 358
Treatment Group(s): 2
Primary Treatment: dCBT-I
Phase:
Study Start date:
May 01, 2023
Estimated Completion Date:
September 01, 2023

Study Description

All participants sign the informed consent form online. The study is an online, single-blind, parallel-group, superiority randomized experiment of digital CBT-I(dCBT-I). The randomization is performed using stratified random sampling to ensure non-significant differences in age, gender, and basic sleep quality between the two groups. The screening, informed consent, assessments, allocation to conditions, delivery of the interventions, scale evaluations, and follow-ups are all carried out online. WeChat chatting groups for daily notification and communication are set up respectively. The experiment lasts 5 (and more) weeks included 3 weeks of intervention and 2 weeks of follow-up.

All participants are required to keep sleep diaries. They self-evaluate via Insomnia Severity Index (ISI), Dysfunctional Beliefs and Attitudes about Sleep (DBAS), Sleep Hygiene Index (SHI), and Epworth Sleepiness Scale (ESS) to assess insomnia severity, sleep-related cognition, and behaviors at 5 time points. The first 3 times are at the first day, after 7 days and 14 days, before starting each new session. After 3-week program, the above scales are retaken during days 2225 and days 3639 as follow-ups. The evaluating time is different on account of individual rate of progress to accomplish the 3-week program.

Digital cognitive behavioral therapy is delivered using an app developed by Fudan University. Digital intervention is structured into 3 sessions with a 7-days course in each session. The intervention group undertook 3 weeks of tasks which consisted of cognitive, behavioral, and relaxation parts of CBT-I and typically lasted 15 minutes per day. Two pieces of relaxing music are recommended daily to the control group instead of the standard relaxation practice. All participants have access to 30 relaxing music and articles on sleep hygiene that are made available in the app.

Connect with a study center

  • Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University

    Shanghai, Shanghai 200433
    China

    Site Not Available

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