Bernadette Kun

Exercise Addiction: Symptoms, Diagnosis, Epidemiology, and Etiology

Regular physical activity plays a crucial role in health maintenance and disease prevention. However, excessive exercise has the potential to have adverse effects on both physical and mental health. The scholastic and empirical discussion of excessive physical activity focuses on obsessive and compulsive exercising, and uses several labels. However, in this review, we argue that the most appropriate term for this phenomenon is exercise addiction, emphasizing that excessive physical exercise fits the typical and most common characteristics of behavioral addictions. The aim of this review is to synthesize the current knowledge on symptomology, diagnosis, epidemiology, and etiology of exercise addiction.

Emotional Intelligence and Addictions: A Systematic Review

Since the millennium, an expanding number of research articles have examined the relationship between emotional intelligence (EI) and physical and mental health. The relationship between EI and addictive disorders has, however, remained relatively well-hidden. We therefore systematically reviewed and critically evaluated the literature on this relationship. We identified 51 articles on the topic of which 36 fulfilled our inclusion criteria. Results indicate that a lower level of EI is associated with more intensive smoking, alcohol use, and illicit drug use and two components of EI play a key role in addictions: “decoding and differentiation of emotions” and “regulation of emotions.”

Confirmation of the Three-Factor Model of Problematic Internet Use on Off-Line Adolescent and Adult Samples

As the Internet became widely used, problems associated with its excessive use became increasingly apparent. Although for the assessment of these problems several models and related questionnaires have been elaborated, there has been little effort made to confirm them. The aim of the present study was to test the three-factor model of the previously created Problematic Internet Use Questionnaire (PIUQ) by data collection methods formerly not applied (off-line group and face-to-face settings), on the one hand, and by testing on different age groups (adolescent and adult representative samples), on the other hand. Data were collected from 438 high-school students (44.5 percent boys; mean age: 16.0 years; standard deviation=0.7 years) and also from 963 adults (49.9 percent males; mean age: 33.6 years; standard deviation=11.8 years). We applied confirmatory factor analysis to confirm the measurement model of problematic Internet use. The results of the analyses carried out inevitably support the original three-factor model over the possible one-factor solution. Using latent profile analysis, we identified 11 percent of adults and 18 percent of adolescent users characterized by problematic use. Based on exploratory factor analysis, we also suggest a short form of the PIUQ consisting of nine items. Both the original 18-item version of PIUQ and its short 9-item form have satisfactory reliability and validity characteristics, and thus, they are suitable for the assessment of problematic Internet use in future studies.

Bifactor structural model of symptom checklists: SCL-90-R and Brief Symptom Inventory (BSI) in a non-clinical community sample

The Derogatis symptom checklist (SCL-90-R) and its short version, the Brief Symptom Inventory (BSI), are widely used instruments, despite the fact that their factor structures were not clearly confirmed. The goals of this research were to compare four measurement models of these instruments including one-factor, nine-factor, a second-ordered factor model and a bifactor model, in addition to testing the gender difference in symptom factors in a community sample. SCL-90-R was assessed in a large community survey which included 2710 adults who represent the population of Hungary. Statistical analyses included a series of confirmatory factor analyses and multiple indicator multiple cause (MIMIC modeling). The responses to items were treated as ordinal scales. The analysis revealed that the bifactor model yielded the closest fit in both the full SCL-90-R and BSI; however the nine-factor model also had an acceptable level of fit. As for the gender differences, women scored higher on global severity, somatization, obsession-compulsion, interpersonal sensitivity, depression and anxiety factors. Men scored higher on hostility and psychoticism. The bifactor model of symptom checklist supports the concept of global symptom severity and specific symptom factors. Global symptom severity explains the large correlations between symptom factors.

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.

The mediating effect of self-esteem, depression and anxiety between satisfaction with body appearance and problematic internet use.

Abstract Background and objectives: Given that dissatisfaction with bodily appearance can sometimes lead to the avoidance of personal contacts and the increase of internet use, this study examines this relationship. The direct role of dissatisfaction with bodily appearance along with the possible mediation effects of depression, anxiety and self-esteem were tested. Methods: A total of 694 participants completed an online questionnaire (58.5% male, mean age 21.5 years), containing measures on problematic internet use, depression and anxiety symptoms, self-esteem and satisfaction with body image. Path analyses were used to test direct and indirect effects. Results: Satisfaction with body appearance had a significant negative direct effect on problematic internet use among both sexes. Though, satisfaction with body appearance had a positive effect on self-esteem and negative on anxiety, neither self-esteem nor anxiety had a direct significant effect on problematic internet use. The effect of dissatisfaction with body appearance was mediated via the self-esteem–depression path toward problematic internet use. Conclusions: Dissatisfaction with physical appearance seems to have a significant role in individuals’ immersing themselves in internet use.

A cross-cultural re-evaluation of the Exercise Addiction Inventory (EAI) in five countries

Research into the detrimental effects of excessive exercise has been conceptualized in a number of similar ways, including ‘exercise addiction’, ‘exercise dependence’, ‘obligatory exercising’, ‘exercise abuse’, and ‘compulsive exercise’. Among the most currently used (and psychometrically valid and reliable) instruments is the Exercise Addiction Inventory (EAI). The present study aimed to further explore the psychometric properties of the EAI by combining the datasets of a number of surveys carried out in five different countries (Denmark, Hungary, Spain, UK, and US) that have used the EAI with a total sample size of 6,031 participants. A series of multigroup confirmatory factor analyses (CFAs) were carried out examining configural invariance, metric invariance, and scalar invariance. The CFAs using the combined dataset supported the configural invariance and metric invariance but not scalar invariance. Therefore, EAI factor scores from five countries are not comparable because the use or interpretation of the scale was different in the five nations. However, the covariates of exercise addiction can be studied from a cross-cultural perspective because of the metric invariance of the scale. Gender differences among exercisers in the interpretation of the scale also emerged. The implications of the results are discussed, and it is concluded that the study’s findings will facilitate a more robust and reliable use of the EAI in future research.

Psychometric properties of the Cannabis Abuse Screening Test in Hungarian samples of adolescents and young adults.

Aim: The aim of our study was to analyze psychometric properties of the Cannabis Abuse Screening Test (CAST). Methods: Our sample comprised Hungarian high school (n = 476; male 56.3%; mean age 19.0 years, SD = 0.65 years) and college students (n = 439; male 65.1%; mean age 23.9 years, SD = 1.56 years) who reported cannabis use in the past year. The sample covered the five biggest universities of Hungary. Besides the CAST, participants responded to the Munich-Composite International Diagnostic Interview. Factor structure was analyzed by a confirmatory factor analysis. Receiver operating characteristic curve analysis was made to assess cut-off scores. Data collection took place in 2010. Results: CAST proved to be a reliable (Cronbachs α 0.71 and 0.76) one-dimensional measure. Regarding both cannabis dependence and cannabis use disorders, a cut-off of 2 points proved to be ideal in both samples, resulting in optimal specificity, negative predictive values and accuracy, but less than optimal positive predictive values (dependence) and low sensitivity (cannabis use disorder). Discussion and Conclusions: In line with former results, the CAST proved to be an adequate measure for the screening of cannabis-related problems among adolescents and young adults in an Eastern European country where this scale has not been studied before.

Psychometric characteristics of the emotional quotient inventory, youth version, short form, in hungarian high school students

Research on the psychometric characteristics, including factor structure, of measures assessing emotional intelligence improve our understanding of the manifest and latent dimensions of the construct. The factor structure of the Bar-On Emotional Quotient Inventory (Bar-On, 1997), despite the popularity of the measure, has been the subject of only a few studies, and there are no data available at all on its 30-item version. The aim of our study was the structural analysis of the Bar-On Emotional Quotient Inventory, Youth Version, Short Form (Bar-On & Parker, 2000). During the multiple-step statistical analysis, confirmatory and exploratory factor analyses and a combined method of these were executed on a sample of 2,380 adolescents (mean age: 17 years, 47.9 % male). The results confirmed the original 5-factor structure (Intrapersonal Emotional Quotient, Interpersonal Emotional Quotient, Stress Management, Adaptability, and Positive Impression). However, only 24 of the original 30 items could be considered as belonging to the scales. Elimination of 6 items resulted in a clearer and more coherent factorial structure, which makes the measure an adequate tool for the assessment of the emotional intelligence of adolescents and young adults in surveys of large-scale samples.

Confirmation of the three-factor model of the Assessing Emotions Scale (AES): Verification of the theoretical starting point

Several measures have been developed for the quantification of emotional intelligence. One widely applied method is the Assessing Emotions Scale, whose factor structure has attracted much scientific attention. The objective of the present study was to identify which of the previously suggested models are the most appropriate. By applying confirmatory factor analysis, we have tested the original one-, three-, four-, and six-factor solutions. Results confirmed the three-factor structure to be the most suitable solution. We suggest that the factors in this structure are better described by the labels “appraisal of emotions,” “optimism and regulation of emotions,” and “intrapersonal and interpersonal utilization of emotions.” Supplemental materials for this article may be downloaded from http://brm.psychonomic-journals.org/content/supplemental.