The goal of the study is to investigate the efficacy of a secondary low-intensity stage of change (SoC) and motivational interviewing (MI)-based Chatbot-assisted intervention in reducing digital addictions in adolescents with Internet gaming disorder (IGD) and/or social media addiction (SMA) by conducting a RCT. Hypothesis: The intervention group will show a greater reduction in rates of IGD and/or SMA at post-treatment and 3-month follow-up than the control group. Design and subjects: A two-armed RCT between the intervention group and psycho-educational control group for adolescents aged 10-19 with excessive screen time. Screening, baseline, post-programme, and 3-month follow-up evaluations will be conducted. Participants will: Be randomly assigned to online brief intervention or psycho-educational control Complete questionnaires evaluating 1 ) Primary outcomes (IGD, SMA), 2) Secondary outcomes (sedentary lifestyle, mental distress, quality of life, eHealth literacy) and 3) Mediators/mechanisms (autonomy, competence)
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
SINGLE
Enrollment
330
The intervention includes five modules based on the five stages of Stages of change. Chatbots will build up a rapport with the participants, monitor their stage with a few simple questions based on previous Stages of Change studies, and provide stage-tailored packages of response, advice, and feedback (one of the five modules) accordingly to enhance their motivation and self-efficacy each week. For those who click 'yes' to a question assessing the first stage of change (PC), Chatbot will make a record and automatically ask questions assessing the next stage; for those who click 'no', Chatbot will automatically send them the module corresponding to their SoC via WhatsApp. Each module will take 10-15 minutes. In total, it will take 1 hour to complete all the modules.
The intervention includes five modules based on the five stages of Stages of change. Chatbots will build up a rapport with the participants, monitor their stage with a few simple questions based on previous Stages of Change studies, and provide stage-tailored packages of response, advice, and feedback (one of the five modules) accordingly to enhance their motivation and self-efficacy each week. For those who click 'yes' to a question assessing the first stage of change (PC), Chatbot will make a record and automatically ask questions assessing the next stage; for those who click 'no', Chatbot will automatically send them the module corresponding to their SoC via WhatsApp. Each module will take 10-15 minutes. In total, it will take 1 hour to complete all the modules.
JC School of Public Health and Primary Care, The Chinese University of Hong Kong
Hong Kong, Hong Kong
RECRUITINGInternet gaming disorder (IGD)
IGD symptoms are assessed using the Nine-Item Internet Gaming Disorder Scale-Short Form (IGDS9-SF) consists of nine questions that assess IGD symptoms, including preoccupation, tolerance, withdrawal, unsuccessful attempts to limit gaming, deception or lies about gaming, loss of interest in other activities, use despite knowledge of harm, use for escape or relief of negative mood, and harm. The response options for each item include "yes=1" and "no=0". The overall score of the scale ranges from 0 to 9, with a higher score implying a higher level of IGD symptoms. Participants with score ≥ 5 will be classified as having probable IGD.
Time frame: From enrollment to the end of follow-up at 3 months
Social media addiction (SMA)
SMA is defined as excessive use of social media with the addictive symptoms like mood modification, salience, tolerance, withdrawal symptoms, conflict, and relapse. The symptoms of SMA will be measured by the 6-item Bergen Social Media Addiction Scale (BSMAS) based on the six core components of addictive behaviors, including cognitive salience, tolerance, mood modification, difficulty in regulating use, withdrawal, and interference with role performance. The items are rated using a Likert type scale ranging between 1 (very rarely) and 5 (very often). A higher sum score in the BSMAS indicates a greater likelihood of being at risk of developing social media addiction. A cut-off score over 19 indicates probable SMA.
Time frame: From enrollment to end of follow-up at 3 months
Composite score of IGD and SMA
Composite outcome of IGD score and SMA score: we define a simple composite as the sum of the two outcomes. Because each outcome measure uses a different scale and has different statistical properties, we will standardize the two variables (i.e., scores of IGD and SMA) first, and then combine the two standardized scores of the outcomes into a composite.
Time frame: From enrollment to end of follow-up at 3 months.
Sedentary lifestyle
Sedentary behavior is defined as any waking behavior such as sitting or leaning with an energy expenditure of 1.5 metabolic equivalent task (MET) or less. Sedentary lifestyles will be measured by the 10-item sedentary lifestyles questionnaire (SLQ) which has been used in Chinese school children. Subjects will report the average daily time spent (hours) during the weekdays and weekends in the following activities: Using smartphone or tablet PC for learning/doing paper homework or reading or writing/ sedentary leisure time without time for screen leisure. Average number of daily hours will be calculated as (total sedentary weekday hours × 5 + total sedentary weekend hours × 2) ÷ 7.
Time frame: From enrollment to end of 3 months follow-up
Entertainment screen time
The American Academy of Pediatrics has recommended that time allotted to Internet gaming or the total amount of entertainment screen time in general (e.g., using social media platforms/social networking sites, watching TV/videos) should be \<1 to 2 hours per day for children and adolescents given the significant health consequences of excessive Internet gaming and screen time. Thus, participants who report the total amount of entertainment screen time with two or more hours per day will be classified as excessive screen time cases and positive cases in our school-based screening.
Time frame: From enrollment to end of follow-up at 3 months
Health-related Quality of life
Quality of life will be measured by the EQ-5D-Y scale (Y for youth). The EQ-5D-Y uses a similar 5-dimenional descriptive system with the EQ-5D but child-friendly wording, referring to mobility ('walking about'), self-care ('looking after myself'), usual activities ('doing usual activities'), pain and discomfort ('having pain or discomfort'), and anxiety and depression ('feeling worried, sad or unhappy'). Each dimension includes one item which has three functioning levels: no problem, some problems, and a lot of problems. The EQ-5D-Y also includes an easily understandable modification of the vertical, graduated Visual Analogue Scale (VAS) of EQ-5D, where the respondent rates his or her overall health status on a scale from 0 to 100 with 0 representing the worst and 100 the best health state the individual can imagine.
Time frame: From enrollment to end of follow-up at 3 months
Mental distress
Mental distress is defined as a collection of mental problems that may not fall into standard diagnostic criteria and are characterized by symptoms of sleeplessness, depression, anxiety, exhaustion, irritability, poor memory, difficulty in concentrating, and somatic complaints. The Chinese K6 questionnaire comprises six questions that ask respondents to rate how frequently they have felt 'nervous', 'hopeless', 'restless or fidgety', 'so depressed that nothing could cheer you up', 'that everything was an effort', and 'worthless' during the past 30 days. Response options included 'none of the time' (0), 'a little of the time' (1), 'some of the time' (2), 'most of the time' (3), and 'all of the time' (4). The range of score for K6 was thus from 0 to 24.
Time frame: From enrollment to end of follow-up at 3 months
eHealth literacy
eHealth literacy is defined as the ability of individuals to seek, find, understand, and appraise health information from electronic sources and apply such information to addressing or solving a health problem. eHealth literacy will be assessed by the 8-item eHealth Literacy Scale (eHEAL), which was validated in Chinese student population. The sample items include 'I know how to find helpful resources on the internet' and 'I know how to use the internet to answer my questions about health'. Ratings were made on 5-point Likert scales, ranging from 1= strongly disagree to 5 = strongly agree, with higher scores indicating a higher level of eHealth literacy.
Time frame: From enrollment to end of follow-up at 3 months
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