The Bergen Facebook Addiction Scale (BFAS), initially a pool of 18 items, three reflecting each of the six core elements of addiction (salience, mood modification, tolerance, withdrawal, conflict, and relapse), was constructed and administered to 423 students together with several other standardized self-report scales (Addictive Tendencies Scale, Online Sociability Scale, Facebook Attitude Scale, NEO-FFI, BIS/BAS scales, and Sleep questions). That item within each of the six addiction elements with the highest corrected item-total correlation was retained in the final scale. The factor structure of the scale was good (RMSEA = .046, CFI = .99) and coefficient alpha was .83. The 3-week test-retest reliability coefficient was .82. The scores converged with scores for other scales of Facebook activity. Also, they were positively related to Neuroticism and Extraversion, and negatively related to Conscientiousness. High scores on the new scale were associated with delayed bedtimes and rising times.

Development of a Facebook Addiction Scale.

http://eprints.lse.ac.uk/55102/1/__lse.ac.uk_storage_LIBRARY_Secondary_libfile_shared_repository_Content_Kardefelt-Winther%2C%20D_Conceptual%20methodological%20critique_Kardefelt-Winther_Conceptual%20methodological%20critique_2014.pdf

A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use

Over the last decade, research into "addictive technological behaviors" has substantially increased. Research has also demonstrated strong associations between addictive use of technology and comorbid psychiatric disorders. In the present study, 23,533 adults (mean age 35.8 years, ranging from 16 to 88 years) participated in an online cross-sectional survey examining whether demographic variables, symptoms of attention-deficit/hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), anxiety, and depression could explain variance in addictive use (i.e., compulsive and excessive use associated with negative outcomes) of two types of modern online technologies: social media and video games. Correlations between symptoms of addictive technology use and mental disorder symptoms were all positive and significant, including the weak interrelationship between the two addictive technological behaviors. Age appeared to be inversely related to the addictive use of these technologies. Being male was significantly associated with addictive use of video games, whereas being female was significantly associated with addictive use of social media. Being single was positively related to both addictive social networking and video gaming. Hierarchical regression analyses showed that demographic factors explained between 11 and 12% of the variance in addictive technology use. The mental health variables explained between 7 and 15% of the variance. The study significantly adds to our understanding of mental health symptoms and their role in addictive use of modern technology, and suggests that the concept of Internet use disorder (i.e., "Internet addiction") as a unified construct is not warranted.

/pdf/the-relationship-between-addictive-use-of-social-media-and-jg1h7w81oz.pdf

The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: a large-scale cross-sectional study

Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model.

Accumulating evidence suggests that, independent of physical activity levels, sedentary behaviours are associated with increased risk of cardio-metabolic disease, all-cause mortality, and a variety of physiological and psychological problems. Therefore, the purpose of this systematic review is to determine the relationship between sedentary behaviour and health indicators in school-aged children and youth aged 5-17 years. Online databases (MEDLINE, EMBASE and PsycINFO), personal libraries and government documents were searched for relevant studies examining time spent engaging in sedentary behaviours and six specific health indicators (body composition, fitness, metabolic syndrome and cardiovascular disease, self-esteem, pro-social behaviour and academic achievement). 232 studies including 983,840 participants met inclusion criteria and were included in the review. Television (TV) watching was the most common measure of sedentary behaviour and body composition was the most common outcome measure. Qualitative analysis of all studies revealed a dose-response relation between increased sedentary behaviour and unfavourable health outcomes. Watching TV for more than 2 hours per day was associated with unfavourable body composition, decreased fitness, lowered scores for self-esteem and pro-social behaviour and decreased academic achievement. Meta-analysis was completed for randomized controlled studies that aimed to reduce sedentary time and reported change in body mass index (BMI) as their primary outcome. In this regard, a metaanalysis revealed an overall significant effect of -0.81 (95% CI of -1.44 to -0.17, p = 0.01) indicating an overall decrease in mean BMI associated with the interventions. There is a large body of evidence from all study designs which suggests that decreasing any type of sedentary time is associated with lower health risk in youth aged 5-17 years. In particular, the evidence suggests that daily TV viewing in excess of 2 hours is associated with reduced physical and psychosocial health, and that lowering sedentary time leads to reductions in BMI.

http://activeworking.com/pdfs/research/71.pdf

Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update.

The aim of this study was to develop and validate a scale to measure computer and videogame addiction. Inspired by earlier theories and research on game addiction, we created 21 items to measure seven underlying criteria (i.e., salience, tolerance, mood modification, relapse, withdrawal, conflict, and problems). The dimensional structure of the scale was investigated in two independent samples of adolescent gamers (N = 352 and N = 369). In both samples, a second-order factor model described our data best. The 21-item scale, as well as a shortened 7-item version, showed high reliabilities. Furthermore, both versions showed good concurrent validity across samples, as indicated by the consistent correlations with usage, loneliness, life satisfaction, social competence, and aggression.

Development and validation of a game addiction scale for adolescents

Aims For the first time, the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) introduces non- substance addictions as psychiatric diagnoses. The aims of this paper are to (i) present the main controversies surrounding the decision to include internet gaming disorder, but not internet addiction more globally, as a non-substance addiction in the research appendix of the DSM-5, and (ii) discuss the meaning behind the DSM-5 criteria for internet gaming disorder. The paper also proposes a common method for assessing internet gaming disorder. Although the need for common diagnostic criteria is not debated, the existence of multiple instruments reflect the divergence of opinions in the field regarding how best to diagnose this condition. Methods We convened international experts from European, North and South American, Asian and Australasian countries to discuss and achieve consensus about assessing internet gaming disorder as defined within DSM-5. Results We describe the intended meaning behind each of the nine DSM-5 criteria for internet gaming disorder and present a single item that best reflects each criterion, translated into the 10 main languages of countries in which research on this condition has been conducted. Conclusions Using results from this cross-cultural collaboration, we outline important research directions for understanding and assessing internet gaming disorder. As this field moves forward, it is critical that researchers and clinicians around the world begin to apply a common methodology; this report is the first to achieve an international consensus related to the assessment of internet gaming disorder.

An international consensus for assessing internet gaming disorder using the new DSM-5 approach

Recently, the American Psychiatric Association included Internet gaming disorder (IGD) in the appendix of the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). The main aim of the current study was to test the reliability and validity of 4 survey instruments to measure IGD on the basis of the 9 criteria from the DSM-5: a long (27-item) and short (9-item) polytomous scale and a long (27-item) and short (9-item) dichotomous scale. The psychometric properties of these scales were tested among a representative sample of 2,444 Dutch adolescents and adults, ages 13-40 years. Confirmatory factor analyses demonstrated that the structural validity (i.e., the dimensional structure) of all scales was satisfactory. Both types of assessment (polytomous and dichotomous) were also reliable (i.e., internally consistent) and showed good criterion-related validity, as indicated by positive correlations with time spent playing games, loneliness, and aggression and negative correlations with self-esteem, prosocial behavior, and life satisfaction. The dichotomous 9-item IGD scale showed solid psychometric properties and was the most practical scale for diagnostic purposes. Latent class analysis of this dichotomous scale indicated that 3 groups could be discerned: normal gamers, risky gamers, and disordered gamers. On the basis of the number of people in this last group, the prevalence of IGD among 13- through 40-year-olds in the Netherlands is approximately 4%. If the DSM-5 threshold for diagnosis (experiencing 5 or more criteria) is applied, the prevalence of disordered gamers is more than 5%.

The Internet gaming disorder scale

https://www.pattivalkenburg.nl/images/artikelen_pdf/2011_lemmens_Valkenburg_Peter_psychosocial_pathological_gaming.pdf

Psychosocial causes and consequences of pathological gaming

https://pure.uva.nl/ws/files/16231343/Social_Media_Disorder_Scale.pdf

Jeroen S. Lemmens

Papers

Development and validation of a game addiction scale for adolescents

An international consensus for assessing internet gaming disorder using the new DSM-5 approach

The Internet gaming disorder scale

Psychosocial causes and consequences of pathological gaming

The Social Media Disorder Scale