Background: Many studies reported the high prevalence of problematic internet use (PIU) among adolescents (13-50%), and PIU was associated with various psychiatric symptoms. In contrast, only a few studies investigated the prevalence among the adult population (6%). This study aimed to investigate the prevalence of PIU and psychiatric co-morbidity among adult psychiatric patients.
Methods: Three hundred thirty-three adult psychiatric patients were recruited over a 3-month period. Two hundred thirty-one of them completed the survey (response rate: 69.4%, 231/333; Male/Female/Transgender: 90/139/2; mean age = 42.2). We divided participants into "normal internet users" and "problematic internet users" using a combination of Young's Internet Addiction Test (IAT) and the Compulsive Internet Use Scale (CIUS). Demographic data and comorbid psychiatric symptoms were compared between the two groups using self-rating scales measuring insomnia (Athens Insomnia Scale, AIS), depression (Beck Depression Inventory, BDI), anxiety (State-trait Anxiety Inventory, STAI), attention deficit hyperactivity disorder (ADHD) (Adult ADHD Self-report Scale, ASRS), autism (Autism Spectrum Quotient, AQ), obsessive-compulsive disorder (OCD) (Obsessive-Compulsive Inventory, OCI), social anxiety disorder (SAD) (Liebowitz Social Anxiety Scale, LSAS), alcohol abuse, and impulsivity (Barratt Impulsive Scale, BIS).
Results: Among 231 respondents, 58 (25.1%) were defined as problematic internet users, as they scored high on the IAT (40 or more) or CIUS (21 or more). The age of problematic internet users was significantly lower than that of normal internet users (p < 0.001, Mann-Whitney U test). The problematic internet users scored significantly higher on scales measuring sleep problems (AIS, 8.8 for problematic internet users vs 6.3 for normal internet users, p < 0.001), depression (BDI, 27.4 vs 18.3, p < 0.001), trait anxiety (STAI, 61.8 vs 53.9, p < 0.001), ADHD (ASRS, part A 3.1 vs 1.8 and part B 3.5 vs 1.8, p < 0.001), autism (AQ, 25.9 vs 21.6, p < 0.001), OCD (OCI, 63.2 vs 36.3, p < 0.001), SAD (LSAS, 71.4 vs 54.0, p < 0.001), and impulsivity (BIS, 67.4 vs 63.5, p = 0.004).
Conclusions: The prevalence of PIU among adult psychiatric patients is relatively high. As previous studies reported in the general population, lower age and psychiatric comorbidity were associated with PIU among adult psychiatric patients. More research is needed to determine any causal relations between PIU and psychopathological illnesses.
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http://dx.doi.org/10.1186/s12888-018-1588-z | DOI Listing |
J Adolesc Health
January 2025
Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.
Purpose: This two-arm cluster randomized controlled trial evaluated the effectiveness of an app-based addiction prevention program in German vocational school students.
Methods: Schools from 5 German federal states were recruited. No eligibility criteria for classes were applied; enrollment decisions were made by school heads or teachers.
PLoS One
January 2025
Department of Communication, University of Delaware, Newark, DE, United States of America.
This research expanded on prior work exploring the relationship between social media use, social support, and mental health by including the usage of social virtual reality (VR). In Study 1 (undergraduate students; n = 448) we examined divergent relationships between problematic social media use (e.g.
View Article and Find Full Text PDFFront Public Health
January 2025
Institute For Ethics, History, and the Humanities, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Introduction: The internet of things (IoT) is increasingly used for occupational safety and health (OSH) purposes in private and public organisations. Current practices and regulations are unclear, and some stakeholders raised concerns about deploying this technology at work.
Methods: Following the PRISMA-ScR checklist, we reviewed the main opportunities and ethical issues raised by using IoT devices for OSH purposes, as discussed in the academic literature.
Neuropsychopharmacol Rep
March 2025
National Center of Neurology and Psychiatry, National Institute of Mental Health, Kodaira, Tokyo, Japan.
Aim: The Internet Gaming Disorder Scale is a 9-item screening instrument developed based on the diagnostic criteria for Internet Gaming Disorder (IGD) in the DSM-5. This study aimed to examine the reliability and validity of the Internet Gaming Disorder Scale for children (IGDS-C) in Japanese clinical and nonclinical populations.
Methods: The study included clinical outpatients aged 9-29 with problematic game use and nonclinical adolescents aged 12-18 who played online games at least once a week.
J Behav Addict
January 2025
2Ciber Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Barcelona, Spain.
Background And Aims: Internet gaming disorder (IGD) is a highly engrossing activity with the individual spending up to 10 h per day gaming, this causes issues in accomplishing their tasks and personal goals. Also, to generate in them increased anxiety, impulsivity and lack of social skills, this impacts the good personal development and individual's quality of life. Therefore, it is vital to better understand, in terms of treatment, which factors are associated with therapeutic outcomes (largely to achieve control over the use of video games and the lack of relapses) following a standardized Cognitive Behavioral Therapy (CBT) protocol.
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