WeChat-based Intervention for Internet Addiction

June 16, 2023 updated by: Dr. Wang Man-Ping

An Integrated WeChat-based Intervention for University Students With Internet Addiction: a Pilot Randomized Controlled Trial

The study aims to design an integrated model which combined self-initiated online learning and personalized interactive behavioral support delivered via WeChat for university students to reduce internet addiction level.

Study Overview

Detailed Description

Internet addiction (IA), also described as pathological or problematic internet use, or internet addiction disorders, refers to a pattern of excessive internet use, and it is a new form of behavioral addiction. There are multiple subtypes of IA including excessive online gaming, sexual preoccupations and excessive messages. The excessive use of internet often generates distress or impairments, and evidence showing IA is accompanied by numerous negative impact physically, psychologically and socially such as ADHD, interpersonal sensitivity4, depression and anxiety, family discord, social problems. Pervious study also suggested IA has a significant correlation with academic performance decrement among students, who were considered as a particular vulnerable population being addicted to internet due to easy access to internet, flexible schedule, positive social atmosphere for computer/smartphone use and lack of parental supervision of internet use. IA is a relatively recent and widespread phenomenon. It was estimated 11% Chinese university students were addicted to internet, and an increase in internet use among Chinese children and adolescents was observed amid the COVID-19 epidemic.

IA is believed have some similarities with substance addiction (e.g. smoking, alcohol drinking and drug abuse) as subjects would undergo same symptoms such as depressed, anxious and lonely, affect neurobiology system with common mechanism, and both suffer from substance withdrawal. The interventions for substance addiction have been adopted to treat IA with promising effect including pharmacotherapy, Cognitive Behavior Therapy (CBT), family-based intervention and motivational interviewing, while the treatment for IA has not been standardized yet. In view of the similar characteristics of IA with substance addiction, brief advice and mobile phone-based personalized behavioral support could be feasible to treat IA which has been proven effective in our previous community-based smoking cessation trial, and the COVID-19 epidemic increased the acceptance of mHealth interventions.

The specific objectives are:

  1. . To examine the effectiveness of the integrated model in reducing IA in university students;
  2. . To assess the acceptability and feasibility of using the model.

Study Type

Interventional

Enrollment (Actual)

120

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Please Select
      • Hong Kong, Please Select, Hong Kong, 000000
        • School of Nursing, The University of Hong Kong

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • 1). Currently a full-time university student in HK;
  • 2). Aged 18-25 years;
  • 3). Internet Addiction Test (IAT) > 50;
  • 4). Able to understand and communicate in Chinese;
  • 5). Own a smartphone can access internet and proficiency in using WeChat;

Exclusion Criteria:

  • 1) Currently participating in other internet addiction controlling projects or services;
  • 2) Experiencing psychiatric/psychological diseases or receiving regular psychotropic medication.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Triple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention group
WeChat-based self-initiated learning, personalized and interactive behavioural support
A WeChat Subscription will be created for delivering the intervention. The educational materials involving introduction to internet addiction, the impact of internet addiction and strategies in coping with IA will be posted to the account at the beginning of the intervention. The materials will be prepared in different format including text and video followed by 3 to 5 multiple choice questions (MCQs), and one post for one topic. Relevant materials can be found by typing the keywords in the account or searching under the content list. Participants will be required to follow the account to study the materials at their own pace and complete the MCQs. There will be no limited access to the materials and attempts for MCQs.
The intervention group will receive 3-month personalized and interactive behavioural support via WeChat, which including regular messages and real-time conversation. The regular messages will cover the generic information about abstinence support, health warnings, benefits of reducing internet time, knowledge reinforcement, goal setting, encouragement and reminders for self-initiated online learning. The messages will be personalised according to baseline demographic characteristics and internet addiction level, and continually adapted to any change in internet behaviours change reported by subjects during the conversations. A total of 19 messages with a tapering schedule. Personalized real-time conversation via WeChat will be available based on participants' demand.
Active Comparator: Control group
General health information
Participants in control group will receive WeChat messages on general health information (similar frequency as the intervention group) and reminders on follow-up surveys via WeChat. Various topics will be involved in the general health information such as healthy diet, sleep management, exercise and mood management.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
internet addiction score
Time Frame: at 1-, 3- and 6-month after baseline
The primary outcome will be the internet addiction score change assessed by Internet Addiction Test (IAT) which is the most valid instrument for IA assessment. The test contains 20 items which rated on a 5 point Likert Scale (1 point refers to rarely, and 5 point refers to always). Score higher than 50 is considered as experiencing occasional or frequent problems because of internet, and the impact on daily life should be aware
at 1-, 3- and 6-month after baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Online hours per week
Time Frame: at 1-, 3- and 6-month after baseline
The daily online hours will be self-estimated and reported. The sum of the online hours will be calculated every 7 days as the total online hours per week.
at 1-, 3- and 6-month after baseline
Sleep time
Time Frame: at 1-, 3- and 6-month after baseline
The daily sleeping time will be self-estimated and reported.
at 1-, 3- and 6-month after baseline
Physical activity level
Time Frame: at 1-, 3- and 6-month after baseline
The physical activity will be measured using International Physical Activity Questionnaire.
at 1-, 3- and 6-month after baseline
Self-rated health
Time Frame: at 1-, 3- and 6-month after baseline
Self-reported health status will be measured using a single-item scale (in general, would you say that your health is excellent, very good, good, fair, or poor?")
at 1-, 3- and 6-month after baseline
Depression and anxiety
Time Frame: at 1-, 3- and 6-month after baseline
The Patient Health Questionnaire-4 (PHQ-4) will be used to measure depression and anxiety. The 4-item questionnaire consists of a 2-item depression sub-scale and 2-item anxiety sub-scale. The questions are answered on a four-point Likert Scale. The sum of the scores is categorized into normal (0-2), mild (3-5), moderate (6-8) and severe (9-12). The total score of 3 or greater on each sub-scale suggest depression or anxiety, respectively.
at 1-, 3- and 6-month after baseline
Perceived happiness
Time Frame: at 1-, 3- and 6-month after baseline
A single-item scale (do you feel happy in general?) on an 11-point Likert Scale (0-10) which has been demonstrated valid and reliable in measuring happiness will be used.
at 1-, 3- and 6-month after baseline
Academic performance
Time Frame: at 1-, 3- and 6-month after baseline
Participant's academic performance will be assessed by " In general, would you say your academic performance is Excellent/Very good/Good/Fair/Poor?
at 1-, 3- and 6-month after baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 10, 2023

Primary Completion (Estimated)

November 30, 2023

Study Completion (Estimated)

December 30, 2023

Study Registration Dates

First Submitted

June 6, 2023

First Submitted That Met QC Criteria

June 6, 2023

First Posted (Actual)

June 15, 2023

Study Record Updates

Last Update Posted (Estimated)

June 19, 2023

Last Update Submitted That Met QC Criteria

June 16, 2023

Last Verified

June 1, 2023

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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