Aniko Maraz

Problematic social media use: results from a large-scale nationally representative adolescent sample

Despite social media use being one of the most popular activities among adolescents, prevalence estimates among teenage samples of social media (problematic) use are lacking in the field. The present study surveyed a nationally representative Hungarian sample comprising 5,961 adolescents as part of the European School Survey Project on Alcohol and Other Drugs (ESPAD). Using the Bergen Social Media Addiction Scale (BSMAS) and based on latent profile analysis, 4.5% of the adolescents belonged to the at-risk group, and reported low self-esteem, high level of depression symptoms, and elevated social media use. Results also demonstrated that BSMAS has appropriate psychometric properties. It is concluded that adolescents at-risk of problematic social media use should be targeted by school-based prevention and intervention programs.

Measuring compulsive buying behaviour: Psychometric validity of three different scales and prevalence in the general population and in shopping centres

Due to the problems of measurement and the lack of nationally representative data, the extent of compulsive buying behaviour (CBB) is relatively unknown. The validity of three different instruments was tested: Edwards Compulsive Buying Scale (ECBS; Edwards, E.A., 1993. Development of a new scale for measuring compulsive buying behaviour. Financial Counseling and Planning. 4, 67-85), Questionnaire About Buying Behavior (QABB; Lejoyeux, M., Ades, J., 1994. Les achats pathologiques: une addiction comportementale. Neuro-Psy. 9, 25-32.) and Richmond Compulsive Buying Scale (RCBS; Ridgway, N.M., Kukar-Kinney, M., Monroe, K.B., 2008. An expanded conceptualization and a new measure of compulsive buying. Journal of Consumer Research. 35, 622-639.) using two independent samples. One was nationally representative of the Hungarian population (N=2710) while the other comprised shopping mall customers (N=1447). As a result, a new, four-factor solution for the ECBS was developed (Edwards Compulsive Buying Scale Revised (ECBS-R)), and confirmed the other two measures. Additionally, cut-off scores were defined for all measures. Results showed that the prevalence of CBB is 1.85% (with QABB) in the general population but significantly higher in shopping mall customers (8.7% with ECBS-R, 13.3% with QABB and 2.5% with RCBS-R). Conclusively, due to the diversity of content, each measure identifies a somewhat different CBB group.

Commentary on: Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. The diagnostic pitfalls of surveys: If you score positive on a test of addiction, you still have a good chance not to be addicted.

Background and Aims Survey-based studies often fail to take into account the predictive value of a test, in other words, the probability of a person having (or not having) the disease when scoring positive (or negative) on the given screening test. Methods We re-visited the theory and basic calculations of diagnostic accuracy. Results In general, the lower the prevalence the worse the predictive value is. When the disorder is relatively rare, a positive test finding is typically not useful in confirming its presence given the high proportion of false positive cases. For example, using the Compulsive Buying Scale (Faber & O’Guinn, 1992) three in four people classified as having compulsive buying disorder will in fact not have the disorder. Conclusions Screening tests are limited to serve as an early detection “gate” and only clinical (interview-based) studies are suitable to claim that a certain behaviour is truly “pathological”.

Prevalence and construct validity of compulsive buying disorder in shopping mall visitors

Compulsive buying is a relatively new psychopathological concept and very few data are currently available regarding the prevalence and validity of compulsive buying disorder. In this cross-sectional study, we establish the prevalence of compulsive buying disorder in shopping mall visitors and explore the construct validity of the concept using the revised version of the Edwards Compulsive Buying Scale in 1441 shopping mall visitors looking at shopping habits, current substance use (smoking, alcohol and illicit drug) and various psychological characteristics. Overall, 8.7% (95% CI: 7.3-10.3) of our sample was classified as having a compulsive buying disorder. Compulsive buyers were younger, less educated and more likely to be female than non-compulsive buyers. They were also more likely to have used licit and illicit substances. Compulsive buyers also reported higher levels of impulsivity and obsessive-compulsive symptoms, lower levels of well-being and self-esteem and more psychological distress. Finally, compulsive buyers were five times more likely to meet criteria for borderline personality disorder than non-compulsive buyers. Compulsive buying is a frequent disorder in shopping mall visitors and is associated with important and robust indicators of psychopathology thus supporting the validity of the construct.

An Empirical Investigation of Dance Addiction

Although recreational dancing is associated with increased physical and psychological well-being, little is known about the harmful effects of excessive dancing. The aim of the present study was to explore the psychopathological factors associated with dance addiction. The sample comprised 447 salsa and ballroom dancers (68% female, mean age: 32.8 years) who danced recreationally at least once a week. The Exercise Addiction Inventory (Terry, Szabo, & Griffiths, 2004) was adapted for dance (Dance Addiction Inventory, DAI). Motivation, general mental health (BSI-GSI, and Mental Health Continuum), borderline personality disorder, eating disorder symptoms, and dance motives were also assessed. Five latent classes were explored based on addiction symptoms with 11% of participants belonging to the most problematic class. DAI was positively associated with psychiatric distress, borderline personality and eating disorder symptoms. Hierarchical linear regression model indicated that Intensity (ß=0.22), borderline (ß=0.08), eating disorder (ß=0.11) symptoms, as well as Escapism (ß=0.47) and Mood Enhancement (ß=0.15) (as motivational factors) together explained 42% of DAI scores. Dance addiction as assessed with the Dance Addiction Inventory is associated with indicators of mild psychopathology and therefore warrants further research.

Why do you dance? Development of the Dance Motivation Inventory (DMI)

Dancing is a popular form of physical exercise and studies have show that dancing can decrease anxiety, increase self-esteem, and improve psychological wellbeing. The aim of the current study was to explore the motivational basis of recreational social dancing and develop a new psychometric instrument to assess dancing motivation. The sample comprised 447 salsa and/or ballroom dancers (68% female; mean age 32.8 years) who completed an online survey. Eight motivational factors were identified via exploratory factor analysis and comprise a new Dance Motivation Inventory: Fitness, Mood Enhancement, Intimacy, Socialising, Trance, Mastery, Self-confidence and Escapism. Mood Enhancement was the strongest motivational factor for both males and females, although motives differed according to gender. Dancing intensity was predicted by three motivational factors: Mood Enhancement, Socialising, and Escapism. The eight dimensions identified cover possible motives for social recreational dancing, and the DMI proved to be a suitable measurement tool to assess these motives. The explored motives such as Mood Enhancement, Socialising and Escapism appear to be similar to those identified in other forms of behaviour such as drinking alcohol, exercise, gambling, and gaming.

The two-faceted nature of impulsivity in patients with borderline personality disorder and substance use disorder

BACKGROUND Impulsivity, which has been the subject of extensive debate in psychiatric research, is a clinically important concept, especially with respect to Borderline Personality Disorder (BPD) and Substance Use Disorders (SUD). The current study aims to examine the presence of two aspects of impulsivity (self-reported impulsivity and delay discounting) in patients with BPD, SUD (alcohol use=AUD or drug use=DUD) and the combination of both disorders (BPD+SUD). METHODS Patients were recruited from eight different mental health treatment service facilities. A total of 345 participants were assessed and divided into six groups: (1) healthy controls (non-BPD, non-SUD), (2) patients with BPD (non-SUD), (3) DUD (non-BPD), (4) AUD (non-BPD), (5) BPD+AUD and (6) BPD+DUD. RESULTS The behavioural measure of impulsivity is more conservative than the results of self-reported impulsivity. Furthermore, ANOVA indicated that BPD and SUD have significant effects on self-reported impulsivity, even when demographic variables, income, other psychiatric symptoms or depression are considered as covariates. On the other hand, the main effects of BPD and SUD are mediated by psychiatric symptoms and depression when delay discounting is considered as a dependent variable. CONCLUSIONS When self-reported, impulsivity is over-estimated as compared to reports based on behavioural measures. These results provide support for the notion that impulsivity is not a unitary construct, and that it instead has different manifestations in BPD and SUD patients.

Intense video gaming is not essentially problematic.

Video games are more popular than ever and the general public, including parents, educators, and the media, tends to consider intense video gaming fundamentally problematic. To test this hypothesis, participants were recruited via gaming-related websites resulting in a sample of N = 5,222 online video gamers (mean age: 22.2 years, SD = 6.4). Besides assessing gaming time, we administered the Ten-Item Internet Gaming Disorder Test, the Brief Symptom Inventory, and the Motives for Online Gaming Questionnaire. Two structural regression models were estimated with both gaming time and problematic gaming as outcome variables. Predictors were psychiatric symptoms in the first, and gaming motives in the second model. Both models yielded adequate fit indices. Psychiatric symptoms had a moderate positive effect on problematic use (&bgr; = .46, p < .001) whereas their effect on gaming time was practically zero (&bgr; = −.01, p = .84). In the second model, Escape was the most prominent motive and was moderately to-strongly associated (&bgr; = .58, p < .001) with problematic use. However, the association between Escape and gaming time was substantially weaker (&bgr; = .21, p < .001). The correlation between gaming time and problematic use was weak-to-moderate in both models (r = .26, p < .001 and r = .21, p < .001, respectively). Data suggest that gaming time is weakly associated with negative psychological factors such as psychiatric symptoms and Escape motive, which were found to be consistently related to problematic use. Therefore, the amount of gaming time alone appears to be an unreliable predictor of problematic use, which questions the aforementioned idea that intense gaming is essentially problematic.

Decision making measured by the Iowa Gambling Task in alcohol use disorder and gambling disorder: a systematic review and meta-analysis

BACKGROUND AND AIMS Gambling disorder (GD) and alcohol use disorder (AD) have similar features, such as elevated impulsivity and decision-making deficits, which are directly linked to relapse and poor therapeutic outcomes. Our aim was to assess decision-making characteristics in GD and AD patients compared to healthy controls (HC) based on one of the most frequently used measures of decision-making: the Iowa Gambling Task (IGT). METHODS In our systematic literature search of three databases, we identified 1198 empirical articles that mentioned decision-making deficits with the use of the IGT in patients diagnosed with either AD or GD. Possible effects were calculated using meta-analysis. In the end, 17 studies (including 1360 participants) were suitable for inclusion in the meta-analysis reporting data for 23 group contrasts. RESULTS The random effects estimate indicated impaired IGT performance in both AD patients (N=500; d=-0.581, CI:-89.5<δ<-26.6%) and an even greater deficit in GD patients (N=292; d=-1.034, CI:-156.1<δ<50.7%) compared to HCs. Sampling variances were calculated for both AD (v1=0.0056) and GD groups (v2=0.0061), from which the z-score was calculated (z=-21.0785; p<0.05), which indicates a statistically significant difference between AD and GD groups. No significant moderating effects of age, gender or education were found. CONCLUSIONS There is enough evidence to support that decision-making deficit associated with addictive disorders, and that the deficit is more expressed in gambling disorder than in alcohol use disorder. Impaired decision-making plays an important part in poor therapeutic outcomes, thus provides a promising opportunity for cognitive intervention.

Compulsive Buying—Features and Characteristics of Addiction

Abstract Compulsive buying is chronic, repetitive purchasing that becomes a primary response to negative events and feelings. It is associated with craving and withdrawal and it is characterized by euphoria and/or relief from negative emotions. The prevalence rates of compulsive buying vary between 1% and 8% worldwide. Most studies report higher prevalence rates in females than males. Compulsive buying can result in substantial debts, legal problems, personal distress, and marital conflict. Empirical research demonstrates that compulsive buying has psychiatric comorbidity with depression, impulse control disorders, eating disorders, alcohol dependence, nicotine dependence, and anxiety. Psychobiological, pharmacological, and physiological studies on compulsive buying are needed since most studies are based on self-report methods (surveys, interviews, etc.). Few controlled studies have assessed the effects of pharmacological treatment on compulsive buying and there is no evidence that pharmacological treatment of compulsive buying is effective.