The largest database of trusted experimental protocols
> Disorders > Mental or Behavioral Dysfunction > Internet Addiction Disorder

Internet Addiction Disorder

Internet Addiction Disorder: A growing concern in the digital age.
Characterized by an inability to control internet use, leading to significant impairment in daily life.
PubCompare.ai leverages cutting-edge AI to help you navigate the latest research and find effective solutions to manage this challenge.
Explore protocols from literature, preprints, and patents, and let our intelligent comparisons guide you to the most promising approaches.
Optimize your research and discover the best products and strategies to overcome internet addiction.
Viist PubCompare.ai today and take the first step towards digital wellness.

Most cited protocols related to «Internet Addiction Disorder»

The first SAS was a modified version of K-scale, a 40-item scale for juveniles concerning Internet addiction. The term “Internet” was changed to “smartphone.” From there, two items were removed, and one item was altered as it was inappropriate for adults. In addition, 10 questions were added, which described the mobile and ubiquitous features of smartphones. All the items were revised by six smartphone addiction field professionals (two psychiatrists, two clinical psychologists, and two counseling psychologists).
All the 48 items were divided into seven subscales: daily-life disturbance, disturbance of reality testing, positive anticipation, withdrawal, cyberspace-oriented relationship, overuse, and tolerance. Each item was assigned 1–6 points. The internal-consistency test result (Cronbach's alpha) was 0.97.
Full text: Click here
Publication 2013
Adult Immune Tolerance Internet Addiction Disorder Psychiatrist Smartphone Addiction
Two qualified psychiatrists, Lin and Chang, experienced in substance-related disorder and Internet addiction, modified the 26-item Chen Internet Addiction Scale (CIAS) for “smartphone addiction” assessment. The psychometric study of the modified version of CIAS was conducted by Lin with the permission of Chen, in which five subscales were identified by exploratory factor analysis [5] . The term ‘‘Internet’’ was changed to ‘‘smartphone’’. The Mandarin Chinese version of the measure was finalized by an expert panel. The final revisions included the following: (1) Item 4 and 6 were replaced by the semantically similar item 2 and 3 of the 12-item Problematic Cellular Phone Use Questionnaire [10] (link), because the original item could not make sense by simply using “smartphone use” to substitute “Internet use”(2). Due to the uniqueness of smartphone use, item 21, i.e., “viewing smartphone when crossing the street; fumbling with one's smartphone while driving or waiting, and resulted in danger” was added at the end of the scale(3). For item 23, sentence was modified from original “I make it a habit to sleep less so that more time online.” as “I make it a habit to use smartphone and the sleep quality and total sleep time decreased.” (4) For item 25, sentence was modified from original “I fail to eat meals at the usual time because I am using the Internet” The revisions (3) and (4) were according to the characteristic of portability of smartphone distinguished from the “traditional” Internet use via computer. Participants were asked to rate items on a 4-point Likert scale, 1 =  strongly disagree”, 2 = “somewhat disagree”, 3 = “somewhat agree” and 4 = “strongly agree, so that the SPAI total score ranges from 26 to 104.
Full text: Click here
Publication 2014
Chinese Internet Addiction Disorder Psychiatrist Psychometrics Sleep Smartphone Addiction Substance-Related Disorders
Modified version of the short Internet Addiction Test (s-IAT–SNS). The tendency of pathological use of SNS as a specific form of IA was assessed with the short Internet Addiction Test (s-IAT; Pawlikowski, Altstötter-Gleich & Brand, 2013 ), modified for Internet communication sites respectively SNS. The s-IAT–SNS consists of twelve items and has to be answered on a five-point Likert scale from 1 (= never) to 5 (= very often). The s-IAT–SNS comprises two six-item factors: loss of control/time management and craving/social problems. Internal consistency (Cronbach’s α) of the s-IAT–SNS was good: α = .880 (loss of control/time management α = .841, craving/social problems α = .801).
Brief Symptom Inventory – subscales depression and interpersonal sensitivity. Psychological-psychiatric symptoms of depression and interpersonal sensitivity were assessed by the German version (Franke, 2000 ) of the Brief Symptom Inventory (BSI; Boulet & Boss, 1991 ; Derogatis, 1993 ). We used the subscale interpersonal sensitivity to measure social anxiety. This subscale represents difficulties and problems in social situations like feeling uncomfortable with other persons. We did not use the subscale anxiety because this “only” measures feelings of anxiety in general, but not focused on social situations. The participants rated the ten items of the subscales on a five-point Likert scale from 0 (= not at all) to 4 (= extremely). The subscale interpersonal sensitivity had four items and the internal consistency was acceptable (Cronbach’s a = .773). The subscale depression consists of six items and had a good internal consistency (Cronbach’s a = .808).
Internet Use Expectancies Scale (IUES). To assess Internet use expectancies we used a newly developed eight-item questionnaire comprising two subscales. The first scale reflects positive reinforcement, the second scale describes avoidance expectancies. All items were answered on a six-point Likert scale ranging from 1 (= completely disagree) to 6 (= totally agree). Both scales had a good reliability (Cronbach’s α; positive reinforcement: α = .829, avoidance expectancies: α = .785, overall: α = .843) (Brand, Laier et al., 2014 (link)).
Internet Literacy Questionnaire (ILQ). To assess Internet literacy we used a newly developed questionnaire (Stodt, Wegmann & Brand, unpublished). The scale asks for participants’ different competencies in dealing with the Internet. The literacies are divided into four subscales (technical expertise, production and interaction, reflection and critical analysis, and self-regulation). Production and interaction describes the use of the Internet as a communication platform and the consideration of online attributes conventions. The subscale self-regulation measures the self-assessment of the participants to manage online behavior.
The scale consists of 24 items (technical expertise: 6 items, production and interaction: 5 items, reflection and critical analysis: 7 items, self-regulation: 6 items). The answers were given on a six-point Likert scale ranging from 0 (= strongly disagree) to 5 (= totally agree). The internal consistency (Cronbach’s α) was acceptable: production and interaction: α = .741, self-regulation: α = .728.
Publication 2015
Anxiety Bohring syndrome Conferences Depressive Symptoms Feelings Hypersensitivity Internet Addiction Disorder Positive Reinforcement Reflex Self-Assessment Social Anxiety
A cross-sectional research design was adopted including of 256 medical students from a private university in Lebanon. The study was carried out in September 2017 to obtain the maximum number of respondents since September marks the beginning of the acemidc year and students are relatively not stressed by exams and workload. Students were given short instructions on the self-administered Internet Addiction Test (IAT) (14 (link)). Survey elements comprised of an informed consent sheet, socio-demographic questionnaire and the IAT. The IAT comprises twenty elements evaluating a person's efficiency in their school, occupation, home (3 questions), social demeanor (3 questions), emotional relationship with and reaction due to use of the internet (7 questions), as well as internet usage patterns (7 questions). Participants filled all the IAT items on a 6-point Likert measure (“does not apply” to “always”), which sums up to total score range from 0 to 100.
Full text: Click here
Publication 2018
Emotions Internet Addiction Disorder Student Students, Medical
Data were collected through the use of 6 scales and a structured review. The Likert-type scales that were developed within the present research and controlled for validity and reliability measures include (i) The Phubbing Scale to determine the phubbing behaviors, marked by an individual looking at his/her mobile phone during a conversation with other individual(s), dealing with his/her mobile phone and escaping from interpersonal communication; (ii) Mobile Phone Addiction Scale to determine phone addiction; (iii) SMS Addiction Scale to determine the SMS addiction; (iv) Social Media Addiction Scale to determine social media addiction; (v) Internet Addiction Scale to determine Internet addiction; and (vi) Game Addiction Scale to determine game addiction. The findings related to the validity and reliability of the scales are presented in the Results section, while the scales can be found in the Appendix.
In addition to the scales, 6 structured questions were asked. These questions are related to the (i) ages, (ii) sexes, (iii) having a smart phone, (iv) having a social media membership, (v) the number of hours for daily Internet use, and (vi) the number of SMS used in a day.
Publication 2015
Addictive Behavior Internet Addiction Disorder Mobile Phone Addiction Social Media Addiction

Most recents protocols related to «Internet Addiction Disorder»

The CIAS-R (25 ) consists of 19 items, and evaluates the symptoms of Internet addiction (Internet addiction tolerance, compulsive Internet use and Internet addiction withdrawal symptoms) and problems related to Internet addiction (time management problems and interpersonal and health problems), with a range response option from 1 (strongly disagree) to 4 (most strongly agree). Higher scores indicate the greater the possibility and tendency of Internet addiction. A total score of less than 46 is normal, 46–53 is the Internet dependence group, and more than 53 is the Internet addiction group.
Full text: Click here
Publication 2023
Immune Tolerance Internet Addiction Disorder Withdrawal Symptoms
The basic characteristics of participants were collected through the case report form (CRF), including demographic data, past medical history and accompanying diseases, and clinical information about existing mental disorders. In addition to the CRF, the following measures were administered. We evaluated the internal personal characteristics of patients through the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), the NEO Five-Factor Inventory (NEOFFI) and the Chinese Internet Addiction Scale’s revision (CIAS-R). The external environmental characteristics were evaluated by the Adolescent Self-Rating Life Events Check List (ASLEC), the Childhood Trauma Questionnaire (CTQ), the Family Assessment Device (FAD) and the Social Support Rate Scale (SSRS).
Full text: Click here
Publication 2023
Adolescent Anxiety Chinese Internet Addiction Disorder Medical Devices Mental Disorders Patients
The Internet Severity and Activities Addiction Questionnaire (ISAAQ) is a two-part questionnaire designed to measure severity of internet addiction (15-item ISAAQ Part A or severity component) and a compendium of putatively problematic internet activities (ISAAQ Part B or activities component) to measure the extent of engagement in online activities respectively, using a 6-point Likert scale (0 = “Not at all” to 5 = “All the time”). Full questionnaire items can be found in the supplementary file in Table S1 and Table S2.
Full text: Click here
Publication 2023
Internet Addiction Disorder
The survey at both sites included the latest refinement of the Internet Addiction Test (IAT-10) [26 (link)], a shortened ten-item version of Young's Internet Addiction test [35 (link)] with improved psychometric properties through IRT. The Internet Gaming Disorder Test (IGDT) [23 (link)], an established 10-item instrument measuring online gaming that operationalizes the nine DSM-5 criteria for Internet gaming disorder [36 ], was also included in the survey. The South Africa survey additionally included the short (5-item) Compulsive Internet Use scale (CIUS) [37 (link)], an established screening instrument of PUI with very similar sensitivity and specificity to the original full CIUS scale [24 (link)].
Full text: Click here
Publication 2023
Internet Addiction Disorder Internet Gaming Disorder Psychometrics
The Group Cognitive Behavioural Therapy Manual (GCBT Manual) was developed by the researchers. The GCBT Manual covers an 8-week work plan that describes the steps the researchers used to administer treatment to the participants. It is organized as follows: sessions, objectives, content, treatment activities, and techniques. The sessions are sub-divided into eight sessions. The sessions were structured to last for 40 minutes each. The main objective is to reduce the pathological level of internet use among the students. The goal of each session is described in the manual, which contains the main topic(s) of each treatment session. Among the objectives of the treatment manual is to help participants appreciate the nature and problem of PIU, commit to genuinely engage in the GCBT program, understand the tenets of CBT theory and techniques, consider and adopt other activities to replace their intensive internet use, and identify antecedent behaviors and commit to developing specific plans to counter PIU. The activities of the researchers and participants, strategies, and materials are also included in the treatment manual (see
Table 1for summary). We developed the current manual taking cognizance of cultural differences and the fact that already existing manuals did not focus on PIU.
Summary of group cognitive behavioral therapy (CBT) for pathological internet use (PIU)
Time frame (weeks)SessionTopicActivitiesTechniquesSpecific objective
1, 21, 2Introduction, purpose, and rules; meaning of PIU.Familiarization with the participants. Acquainted the participants with the purpose and relevance of the group process in improving students’ behaviors. Spelling out the boundary for group interaction. Making a contract on group norms such as confidentiality, commitment and treat each other with respect. Encouraged to think about, open up and discuss their concerns. Explained the meaning of PIU and basic needs for group formation. Explored their basic daily functioning that is impaired as a result of excessive internet use. Explored the factors of the internet addiction in terms of basic needs. Being conscious of symptoms of PIU and its management skills using CBT. Practice exercise was given to the participants.Establishing therapeutic relationship; attending skills; listening skills; clarification; emotional disputation; cognitive restructuring; relaxation; reframing technique.To help participants appreciate the nature and problem of PIU and commit to genuinely engage in the program. To understand and commit to genuine participation in group interaction.
33Dealing with the consequences of PIU using CBTParticipants were allowed to discuss the problems they encountered in their study. Some of these problems include inadequate preparation for examinations, late submission of assignments, inadequate concentration in classes, and examination phobia. The researchers encouraged the participants to offer possible solutions to the problems identified. Explain briefly choice and CBT theories to the group members. Teach the group to use time management techniques. Homework assignment: apply time management techniques, practice exercise.Cognitive disputation; time management; mood monitoring; restructuring; problem-solving skills; reflection of feeling; coping skills; thought monitoring and stopping; reframing technique.Understand and admit that PIU has possibly, negatively impacted their lives as students. Understand the tenets of CBT theory and technique.
44Exploration of alternative activitiesEncourage the group to establish alternative activities. Present participants’ optional activities. Encourage the group members to use homework/assignment and self-help. Reviewed the timetables brought by individual participants. Guidelines for effective study habits were discussed. Homework/assignment.Time management; assertive training; discussion; problem-solving skills; reframing technique.Consider and adopt other activities to replace their intensive internet use.
55Recognize internet usage pattern and their addiction triggers; help the group make a concrete plan to do better.Review the group rules and follow up on the homework/assignment. Complete time plan form. Present it to the whole group. Reviewing previous discussion. Practice coping skills. Termination.Discussion; proximity control; assertive training; interpretation.Identifying antecedent behaviors and committing to developing specific plans to counter PIU.
6, 76, 7Help the group make and use a verbal contract and positive reminder cardsReview the homework assignment. Make an oral or written contract with group members. Encourage the participants to make commitment plans. Make positive cues and encourage the group to use them in their real life. Homework/assignment: apply positive reminder cards. Reminding the participants of the last meeting.Time management; proximity control; discussion; assertive training; interpretation; discussion, explanation.Monitoring assimilation and encouraging the use of CBT techniques.
88Revision of the program/terminationFollow up of the homework/assignment. Review significant accomplishments of the participants. Remind the group that even though the group experience has ended, confidentiality is still expected and important. Light and healthy refreshment is offered at the end the group session. Thank the group for their commitment and cooperationProximity control; discussion; interpretation; shaping and reinforcement.Following up with participants on progress with techniques and any reported changes (positive or negative).
Full text: Click here
Publication 2023
Addictive Behavior Cognition Cognitive Therapy Consciousness Cultural Evolution Emotions Infantile Neuroaxonal Dystrophy Internet Addiction Disorder Light Meaningful Use Mood Phobias Physical Examination Precipitating Factors Reading Frames Reflex Reinforcement, Psychological Student Teaching Therapeutics

Top products related to «Internet Addiction Disorder»

Sourced in United States, Japan, United Kingdom, Germany, Austria, Canada, Belgium, Spain
SPSS version 26 is a statistical software package developed by IBM. It is designed to perform advanced statistical analysis, data management, and data visualization tasks. The software provides a wide range of analytical tools and techniques to help users understand and draw insights from their data.
Sourced in United States, United Kingdom, Japan, Germany
SPSS is a software package used for statistical analysis. It provides a graphical user interface and a robust set of tools for data manipulation, analysis, and visualization. SPSS is designed to handle a wide range of data types and supports a variety of statistical techniques, including regression analysis, factor analysis, and time series analysis.
Sourced in United States, United Kingdom, Japan, Austria, Germany, Belgium, Israel, Hong Kong, India
SPSS version 23 is a statistical software package developed by IBM. It provides tools for data analysis, data management, and data visualization. The core function of SPSS is to assist users in analyzing and interpreting data through various statistical techniques.
Sourced in United States, Japan, United Kingdom, Germany, Austria, Belgium, Denmark, China, Israel, Australia
SPSS version 21 is a statistical software package developed by IBM. It is designed for data analysis and statistical modeling. The software provides tools for data management, data analysis, and the generation of reports and visualizations.
Sourced in United States, Belgium
SPSS is a software package used for statistical analysis. It provides tools for data management, statistical modeling, and visualization. SPSS is designed to work on the Windows operating system.
Sourced in United States, United Kingdom, Germany, Japan, Austria, China, India, Belgium, New Zealand, Italy, Sweden
SPSS 26.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including descriptive statistics, bivariate analysis, predictive analytics, and more. The software is designed to help users gain insights from their data through various analytical techniques.
Sourced in United States
SPSS version 22.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including descriptive statistics, regression analysis, and hypothesis testing. The software is designed for use by researchers, analysts, and data scientists in a variety of fields.
Sourced in United States
SPSS 25.0 is a statistical software program developed by IBM. It is designed to perform data analysis, information management, and predictive analytics. The program provides a wide range of tools for data manipulation, analysis, and visualization. SPSS 25.0 is commonly used in various industries, including research, academia, and business, for tasks such as survey data analysis, forecasting, and decision-making.
Sourced in United States, United Kingdom, Austria, Denmark
Stata 15 is a comprehensive, integrated statistical software package that provides a wide range of tools for data analysis, management, and visualization. It is designed to facilitate efficient and effective statistical analysis, catering to the needs of researchers, analysts, and professionals across various fields.
Sourced in United States
SPSS Amos is a statistical software package designed for conducting structural equation modeling (SEM) analysis. It provides a graphical user interface for building, estimating, and validating SEM models. SPSS Amos enables users to explore the relationships between observed and latent variables, as well as to test hypotheses about these relationships.

More about "Internet Addiction Disorder"

Internet Addiction Disorder (IAD) is a growing concern in the digital age, characterized by an inability to control internet usage, leading to significant impairment in daily life.
This condition, also known as Problematic Internet Use (PIU) or Compulsive Internet Use (CIU), has become increasingly prevalent as our reliance on technology and online activities has skyrocketed.
Individuals struggling with IAD may experience symptoms such as excessive time spent online, neglecting other important aspects of their lives, and difficulty regulating their internet use.
This can lead to a range of negative consequences, including academic or professional underperformance, strained relationships, and even physical health issues.
Researchers and mental health professionals have been exploring various approaches to address this challenge, utilizing tools like SPSS (Statistical Package for the Social Sciences) version 26, 25, 23, 21, and 22, as well as Stata 15 and SPSS Amos, to analyze data and develop effective interventions.
These may include cognitive-behavioral therapy, mindfulness-based techniques, and the development of digital wellness strategies.
PubCompare.ai, a cutting-edge AI-powered platform, can help individuals navigate the latest research and find the most promising solutions to overcome Internet Addiction Disorder.
By exploring protocols from literature, preprints, and patents, and leveraging intelligent comparisons, PubCompare.ai can guide users towards the most effective approaches to manage this challenge and achieve digital well-being.
Visit PubCompare.ai today and take the first step towards regaining control and restoring balance in your digital life.