Gyöngyi Kökönyei

Socio-economic inequality in multiple health complaints among adolescents: international comparative study in 37 countries.

Objectives:To use comparable data from many countries to examine 1) socio-economic inequality in multiple health complaints among adolescents, 2) whether the countries’ absolute wealth and economic inequality was associated with symptom load among adolescents, and 3) whether the countries’ absolute wealth and economic inequality explained part of the individual level socio-economic variation in health complaints.Methods:The Health Behaviour in School-aged Children (HBSC) international study from 2005/06 provided data on 204,534 11-, 13- and 15-year old students from nationally random samples of schools in 37 countries in Europe and North America. The outcome measure was prevalence of at least two daily health complaints, measured by the HBSC Symptom Check List. We included three independent variables at the individual level (sex, age group, family affluence measured by the Family Affluence Scale FAS) and two macro level measures on the country’s economic situation: wealth measured by Gross National Product (GNP) and distribution of income measured by the Gini coefficient.Results:There was a significant socio-economic variation in health complaints in 31 of the 37 countries. The overall OR (95 % CI) for 2+ daily health complaints for all countries was 1.31 (1.27–1.36) in the medium versus high FAS group and 2.07 (2.00–2.14) in the low versus high FAS group. This socio-economic gradient in health complaints attenuated somewhat in the multilevel models which included macro level data. There was no association between GNP and health complaints. The OR for high symptom load was 1.35 (1.08–1.69) per 10 % increase in Gini coefficient. The socio-economic gradient in health complaints at the individual level was somewhat attenuated in the multilevel models which included macro level data.Conclusions:There was a significant association between low FAS and high level of health complaints in 30 of 37 countries. Health complaints increased significantly by increasing income inequality in the country.

The development of the Problematic Online Gaming Questionnaire (POGQ).

Background Online gaming has become increasingly popular. However, this has led to concerns that these games might induce serious problems and/or lead to dependence for a minority of players. Aim: The aim of this study was to uncover and operationalize the components of problematic online gaming. Methods A total of 3415 gamers (90% males; mean age 21 years), were recruited through online gaming websites. A combined method of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) was applied. Latent profile analysis was applied to identify persons at-risk. Results EFA revealed a six-factor structure in the background of problematic online gaming that was also confirmed by a CFA. For the assessment of the identified six dimensions – preoccupation, overuse, immersion, social isolation, interpersonal conflicts, and withdrawal – the 18-item Problematic Online Gaming Questionnaire (POGQ) proved to be exceedingly suitable. Based on the latent profile analysis, 3.4% of the gamer population was considered to be at high risk, while another 15.2% was moderately problematic. Conclusions The POGQ seems to be an adequate measurement tool for the differentiated assessment of gaming related problems on six subscales.

Problematic internet use and problematic online gaming are not the same: findings from a large nationally representative adolescent sample.

There is an ongoing debate in the literature whether problematic Internet use (PIU) and problematic online gaming (POG) are two distinct conceptual and nosological entities or whether they are the same. The present study contributes to this question by examining the interrelationship and the overlap between PIU and POG in terms of sex, school achievement, time spent using the Internet and/or online gaming, psychological well-being, and preferred online activities. Questionnaires assessing these variables were administered to a nationally representative sample of adolescent gamers (N=2,073; Mage=16.4 years, SD=0.87; 68.4% male). Data showed that Internet use was a common activity among adolescents, while online gaming was engaged in by a considerably smaller group. Similarly, more adolescents met the criteria for PIU than for POG, and a small group of adolescents showed symptoms of both problem behaviors. The most notable difference between the two problem behaviors was in terms of sex. POG was much more strongly associated with being male. Self-esteem had low effect sizes on both behaviors, while depressive symptoms were associated with both PIU and POG, affecting PIU slightly more. In terms of preferred online activities, PIU was positively associated with online gaming, online chatting, and social networking, while POG was only associated with online gaming. Based on our findings, POG appears to be a conceptually different behavior from PIU, and therefore the data support the notion that Internet Addiction Disorder and Internet Gaming Disorder are separate nosological entities.

Alcohol outcome expectancies and drinking motives mediate the association between sensation seeking and alcohol use among adolescents

Sensation seeking is a strong correlate of alcohol consumption among young people, yet the research on mediators of this association is mainly limited to English-speaking adolescents. The proposed model of the present study includes antecedent variables (sensation seeking, age and gender), mediators (positive and negative expectancies and drinking motives), and one outcome variable (a composite score of alcohol use). Self-reported data obtained from Hungarian high school students (N=707, mean age 16.6, SD=1.5) were analyzed with structural equation modeling. The general model fit was excellent, and this study supported the proposed sensation seeking --> positive and negative expectancies --> drinking motives --> alcohol use indirect effects. The total indirect effect explains 38% of sensation seeking and alcohol use association. Results support the notion that positive expectancy mediates between sensation seeking and drinking motives, and finally, positive expectancy and drinking motives are mediators between sensation seeking and alcohol use.

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.

Typology and Sociodemographic Characteristics of Massively Multiplayer Online Game Players

To date, there has been relatively little research comparing different types of online gamers. The main aim of this study was to provide robust benchmark data on different types of Massively Multiplayer Online Game (MMOG) players using a large sample of online gamers. An online survey was used to recruit 4,374 Hungarian online gamers from websites offering different types of MMOGs. In addition to sociodemographic characteristics, the study also collected data on gaming preference, amount of time spent gaming, amount of money spent on the game, and whether they played at an amateur or professional level. A latent profile analysis of gaming preferences differentiated between eight specific gamer types, of which four types emerged as clear categories, indicating clear preference for a specific type of game (role-playing games, first-person shooter games, real-time strategy games, and other games). Overall, 79% of gamers belonged to these four categories. First-person shooter gamers were almost exclusively male, younger aged, lower educated, and of lower socioeconomic status. Real-time strategy gamers were older. Female gamers were most likely to play “Other” games and/or role-playing games. In relation to time spent gaming, role-playing gamers appeared to be the most vulnerable. The results indicated that a significant number of gamers have clear gaming preferences, and these specific gaming types are associated with significant differences regarding sociodemographic and gaming characteristics of gamers.

The mediating effect of gaming motivation between psychiatric symptoms and problematic online gaming: an online survey.

Background The rapid expansion of online video gaming as a leisure time activity has led to the appearance of problematic online gaming (POG). According to the literature, POG is associated with different psychiatric symptoms (eg, depression, anxiety) and with specific gaming motives (ie, escape, achievement). Based on studies of alcohol use that suggest a mediator role of drinking motives between distal influences (eg, trauma symptoms) and drinking problems, this study examined the assumption that there is an indirect link between psychiatric distress and POG via the mediation of gaming motives. Furthermore, it was also assumed that there was a moderator effect of gender and game type preference based on the important role gender plays in POG and the structural differences between different game types. Objective This study had two aims. The first aim was to test the mediating role of online gaming motives between psychiatric symptoms and problematic use of online games. The second aim was to test the moderator effect of gender and game type preference in this mediation model. Methods An online survey was conducted on a sample of online gamers (N=3186; age: mean 21.1, SD 5.9 years; male: 2859/3186, 89.74%). The Brief Symptom Inventory (BSI), the Motives for Online Gaming Questionnaire (MOGQ), and the Problematic Online Gaming Questionnaire (POGQ) were administered to assess general psychiatric distress, online gaming motives, and problematic online game use, respectively. Structural regression analyses within structural equation modeling were used to test the proposed mediation models and multigroup analyses were used to test gender and game type differences to determine possible moderating effects. Results The mediation models fitted the data adequately. The Global Severity Index (GSI) of the BSI indicated that the level of psychiatric distress had a significant positive direct effect (standardized effect=.35, P<.001) and a significant indirect (mediating) effect on POG (standardized effect=.194, P<.001) via 2 gaming motives: escape (standardized effect=.139, P<.001) and competition (standardized effect=.046, P<.001). The comparison of the 2 main gamer types showed no significant differences in the model. However, when comparing male and female players it was found that women had (1) slightly higher escape scores (on a 5-point Likert scale: mean 2.28, SD 1.14) than men (mean 1.87, SD 0.97) and (2) a stronger association between the escape motive and problematic online gaming (standardized effect size=.64, P<.001) than men (standardized effect size=.20, P=.001). Conclusions The results suggest that psychiatric distress is both directly and indirectly (via escape and competition motives) negatively associated with POG. Therefore, the exploration of psychiatric symptoms and gaming motives of POG can be helpful in the preparation of prevention and treatment programs.

Psychometric Properties of the Problematic Online Gaming Questionnaire Short-Form and Prevalence of Problematic Online Gaming in a National Sample of Adolescents

The rise and growing popularity of online games has led to the appearance of excessive gaming that in some cases can lead to physical and psychological problems. Several measures have been developed to explore the nature and the scale of the phenomenon. However, few measures have been validated psychometrically. The aim of the present study was to test the psychometric properties of the 12-item Problematic Online Gaming Questionnaire Short-Form (POGQ-SF) and to assess the prevalence of problematic online gaming. Data collection was carried out to assess the prevalence of problematic online gaming in a national representative adolescent sample by using an offline (pen and pencil) method. A total of 5,045 secondary school students were assessed (51% male, mean age 16.4 years, SD=0.9 years) of which 2,804 were gamers (65.4% male, mean age 16.4 years, SD=0.9 years). Confirmatory factor analysis was applied to test the measurement model of problematic online gaming, and latent profile analysis was used to identify the proportion of gamers whose online game use can be considered problematic. Results showed that the original six-factor model yielded appropriate fit to the data, and thus the POGQ-SF has appropriate psychometric properties. Latent profile analysis revealed that 4.6% of the adolescents belong to a high risk group and an additional 13.3% to a low risk group. Due to its satisfactory psychometric characteristics, the 12-item POGQ-SF appears to be an adequate tool for the assessment of problematic online gaming.

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.