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临床试验/NCT05906108
NCT05906108已完成不适用

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

Prof. Wang Man-Ping2 个研究点 分布在 1 个国家目标入组 120 人开始时间: 2023年3月10日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
120
试验地点
2
主要终点
internet addiction score

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Treatment
盲法
Triple (Participant, Investigator, Outcomes Assessor)

入排标准

年龄范围
18 Years 至 25 Years(Adult)
性别
All
接受健康志愿者

入选标准

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

排除标准

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

结局指标

主要结局

internet addiction score

时间窗: 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

次要结局

  • Perceived happiness(at 1-, 3- and 6-month after baseline)
  • Sleep time(at 1-, 3- and 6-month after baseline)
  • Online hours per week(at 1-, 3- and 6-month after baseline)
  • Physical activity level(at 1-, 3- and 6-month after baseline)
  • Self-rated health(at 1-, 3- and 6-month after baseline)
  • Depression and anxiety(at 1-, 3- and 6-month after baseline)
  • Academic performance(at 1-, 3- and 6-month after baseline)

研究者

发起方
Prof. Wang Man-Ping
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Prof. Wang Man-Ping

Professor

The University of Hong Kong

研究点 (2)

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