May the passion be with you: The addictive potential of collectible card games, miniatures, and dice of the Star Wars universe

How much online pornography is too much? A comparison of two theoretically distinct assessment scales

BACKGROUND

Online pornography use, an ever more common activity, has raised myriad psychosocial and clinical concerns. While there is a need to screen for and measure its problematic dimension, there is a debate about the adequacy of existing assessment tools.

OBJECTIVE

The study compares two instruments for measuring pathological online pornography use (POPU) that are based on different theoretical frameworks-one in line with DSM-5 criteria and the six-component addiction model and one in line with ICD-11 criteria.

METHODS

An international sample of 1,823 adults (Mean age = 31.66, SD = 6.74) answered an online questionnaire that included the Short Version of the Problematic Pornography Consumption Scale (PPCS-6) and the Assessment of Criteria for Specific Internet-Use Disorders (ACSID-11). Factorial, correlational, and network analyses were conducted on the data.

RESULTS

Both tools adequately screened for online "addictive" behavior, but the ACSID-11 was superior in assessing the degree of clinical risk.

CONCLUSION

Depending on the specific aim of the assessment (screening vs. clinical diagnostics), both online pornography measurement tools may be useful.

Vitality structures in 'addictive' game design

For decades, research on technology use and mental health has been based on the assumption that identifiable structures of 'design' are psychologically relevant for their users. This has been central especially for the nosological emergence of 'behavioural addictions', which currently involve two formal diagnoses involving technology: problems related to playing gambling games (gambling disorder) and videogames (gaming disorder). Alas, the research on identifying 'addictive' design structures has suffered from major construct validity issues. To make progress across those issues, I draw from the history of 'vitality affects' in psychiatry and introduce vitality structures as a design-phenomenological framework that can help researchers conceptualise clinically (and non-clinically) relevant 'bonds' between entities of game design and corresponding player phenomenology. Vitality structures are not natural kinds to be discovered but pragmatic constructs to be created and used: they are useful as long as they communicate what is both identifiable and empirically prevalent. As a demonstration of practice, I propose working conceptualizations of three vitality structures, which surface in videogames that have been prevalent sources of self-identified problems among gaming treatment-seekers. Systematic programs of research for identifying relevant vitality structures across technological, psychological, and psychiatric contexts can lead to construct-valid and replicable design effects.

Deconstructing the components model of addiction: an illustration through "addictive" use of social media

The components model of addiction posits that all addictions share six components, namely salience, tolerance, mood modification, relapse, withdrawal, and conflict. This highly influential model has resulted in the development of numerous psychometric instruments that measure addictive behaviors according to these criteria. However, recent research suggests that, in the context of behavioral addictions, certain components constitute peripheral features that do not distinguish non-pathological from pathological behavior. Using "addictive" use of social media as a representative example, we examined this perspective by testing whether these six components actually assess central features of addiction, or whether some of them constitute peripheral features that are not indicative of a disorder. Four independent samples totaling 4,256 participants from the general population completed the Bergen Social Media Addiction Scale, a six-item psychometric instrument derived from the components model of addiction to assess social media "addiction". By performing structural equation modeling and network analyses, we showed that the six components did not form a unitary construct and, crucially, that some components (i.e., salience, tolerance) were not associated with measures assessing psychopathological symptoms. Taken together, these results suggest that psychometric instruments based on the components model conflate central and peripheral features of addiction when applied to behavioral addictions. This implies that such instruments pathologize involvement in appetitive behaviors. Our findings thus call for renewing the conceptualization and assessment of behavioral addictions.

Development of an Offline-Friend Addiction Questionnaire (O-FAQ): Are most people really social addicts?

A growing number of self-report measures aim to define interactions with social media in a pathological behavior framework, often using terminology focused on identifying those who are 'addicted' to engaging with others online. Specifically, measures of 'social media addiction' focus on motivations for online social information seeking, which could relate to motivations for offline social information seeking. However, it could be the case that these same measures could reveal a pattern of friend addiction in general. This study develops the Offline-Friend Addiction Questionnaire (O-FAQ) by re-wording items from highly cited pathological social media use scales to reflect "spending time with friends". Our methodology for validation follows the current literature precedent in the development of social media 'addiction' scales. The O-FAQ had a three-factor solution in an exploratory sample of N = 807 and these factors were stable in a 4-week retest (r = .72 to .86) and was validated against personality traits, and risk-taking behavior, in conceptually plausible directions. Using the same polythetic classification techniques as pathological social media use studies, we were able to classify 69% of our sample as addicted to spending time with their friends. The discussion of our satirical research is a critical reflection on the role of measurement and human sociality in social media research. We question the extent to which connecting with others can be considered an 'addiction' and discuss issues concerning the validation of new 'addiction' measures without relevant medical constructs. Readers should approach our measure with a level of skepticism that should be afforded to current social media addiction measures.

Absence of Objective Differences between Self-Identified Addicted and Healthy Smartphone Users?

Smartphones are used by billions of people worldwide. However, some psychologists have argued that use of this technology is addictive, even though little research utilises objective smartphone usage records to verify this claim. We conducted an exploratory study to identify whether behavioural differences exist between those who self-identify as addicted smartphone users and those who do not. We gathered retrospective smartphone usage data from 131 Android users and asked them about their past use to compare their perception of their usage against their actual usage. We could not identify any reliable differences between the smartphone activity of those self-identified as addicted smartphone users and other users. Furthermore, smartphone scales are generally good at identifying who believes themselves to be addicted, although they do not reflect objective smartphone use. This study questions the use of self-report measures to diagnosis behavioural addictions without relevant psychopathological constructs and emphasises the need for more rigorous study to conceptualise smartphone addiction.

Learning to lose control: A process-based account of behavioral addiction

Learning psycho(bio)logy has developed a solid corpus of evidence and theory regarding behavior control modes. The present article briefly reviews that literature and its influence on recent models in which the transition from goal-directed to compulsive behavior is identified as the main process underlying substance use disorders. This literature is also relevant to non-substance addictive disorders, and serves as basis to propose a restricted definition of behavioral addiction relying on the presence of behavior-specific compulsivity. Complementarily, we consider whether some activities can become disordered while remaining mostly goal-driven. Based on reinforcement learning models, relative outcome utility computation is proposed as an alternative mechanism through which dysfunctional behaviors (even not qualifying as addictive) can override adaptive ones, causing functional impairment. Beyond issues of conceptual delimitation, recommendations are made regarding the importance of identifying individual etiological pathways to dysregulated behavior, the necessity of accurately profiling at-risk individuals, and the potential hazards of symptom-based diagnosis. In our view, the validity of these recommendations does not depend on the position one takes in the nosological debate.