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A Study on the Effectiveness of Rest Shame Interventions Based on Cognitive Behavioural Therapy in Reducing Social Media Addiction

T

The Fourth Affiliated Hospital of Zhejiang University School of Medicine

Status

Not yet enrolling

Conditions

Rest is Shameful

Treatments

Other: Structured intervention based on cognitive behavioural therapy (CBT)

Study type

Interventional

Funder types

Other

Identifiers

NCT07284160
KY-2025-286

Details and patient eligibility

About

This study will employ a randomised controlled trial design to systematically intervene in university students' rest shaming through a structured intervention programme grounded in cognitive behavioural therapy (CBT), thereby examining its efficacy in reducing social media addiction. Through this research, we aim to evaluate the effectiveness of CBT interventions in alleviating rest shaming and demonstrate that operationalising rest shaming influences social media addiction.

Enrollment

120 estimated patients

Sex

All

Ages

18 to 25 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • University students aged 18-25 who are capable of understanding and completing research-related tasks, and who have confirmed the presence of rest shaming experiences via the Rest Shaming Scale.

Exclusion criteria

  • Individuals with a history of severe mental illness (such as clinically diagnosed depression, anxiety disorders, etc.), cognitive impairment, or an inability to cooperate in completing the research process.

Trial design

Primary purpose

Health Services Research

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Double Blind

120 participants in 2 patient groups

Structured intervention based on cognitive behavioural therapy (CBT)
Experimental group
Description:
Structured intervention based on cognitive behavioural therapy (CBT)
Treatment:
Other: Structured intervention based on cognitive behavioural therapy (CBT)
Control group
No Intervention group

Trial contacts and locations

1

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Central trial contact

Yibo Wu

Data sourced from clinicaltrials.gov

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