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Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis.
J Med Internet Res
January 2022
National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States.
Background: As social media is a major channel of interpersonal communication in the digital age, social media addiction has emerged as a novel mental health issue that has raised considerable concerns among researchers, health professionals, policy makers, mass media, and the general public.
Objective: The aim of this study is to examine the prevalence of social media addiction derived from 4 major classification schemes (strict monothetic, strict polythetic, monothetic, and polythetic), with latent profiles embedded in the empirical data adopted as the benchmark for comparison. The extent of matching between the classification of each scheme and the actual data pattern was evaluated using sensitivity and specificity analyses.
Predictors for Digital Game Addiction Among Turkish Adolescents: A Cox's Interaction Model-Based Study.
J Addict Nurs
October 2019
Aylin Yalçn Irmak, PhD, RN, School of Health, Nursing Department, Namik Kemal University, Tekirdag, Turkey. Semra Erdoğan, PhD, RN, Florence Nightingale Nursing Faculty, Public Health Nursing Department, Istanbul University, Istanbul, Turkey.
Background: Digital game addiction among adolescents is a growing problem. The purpose of this study is to describe the predictors for this addiction in a group of Turkish adolescents using a conceptual framework.
Methods: A descriptive correlational study was conducted on 865 students (aged 11-16 years) and their parents.
Addicted to Facebook? Relationship between Facebook Addiction Disorder, duration of Facebook use and narcissism in an inpatient sample.
Psychiatry Res
March 2019
Department of Psychosomatic Medicine, Rehabilitation Center Seehof, Federal German Pension Agency, and Psychosomatic Rehabilitation Research Group, Charité - Universitätsmedizin Berlin, Germany.
The present study explored the Facebook Addiction Disorder (FAD) in an inpatient sample in Germany. Of the 112 Facebook users (71.4% women; age(years): M (SD) = 49.
View Article and Find Full Text PDFPreliminary field trial of a putative research algorithm for diagnosing ICD-11 personality disorders in psychiatric patients: 2. Proposed trait domains.
Personal Ment Health
November 2015
Department of Psychological Medicine, University of Otago, Dunedin, New Zealand.
This field trial examines the discriminant validity of five trait domains of the originally proposed research algorithm for diagnosing International Classification of Diseases (ICD)-11 personality disorders. This trial was carried out in South Korea where a total of 124 patients with personality disorder participated in the study. Participants were assessed using originally proposed monothetic trait domains of asocial-schizoid, antisocial-dissocial, anxious-dependent, emotionally unstable and anankastic-obsessional groups of the research algorithm in ICD-11.
View Article and Find Full Text PDF2008 International Conference on Ectodermal Dysplasias Classification: conference report.
Am J Med Genet A
September 2009
Division of Craniofacial Genetics, Department of Pediatric Dentistry and Orthodontics, College of Dental Medicine, Medical University of South Carolina, 173 Ashley Avenue, Charleston, SC 29425, USA.
There are many ways to classify ectodermal dysplasia syndromes. Clinicians in practice use a list of syndromes from which to choose a potential diagnosis, paging through a volume, such as Freire-Maia and Pinheiro's corpus, matching their patient's findings to listed syndromes. Medical researchers may want a list of syndromes that share one (monothetic system) or several (polythetic system) traits in order to focus research on a narrowly defined group.
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