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BACKGROUND: Several studies have explored the relationship between personality and work addiction, suggesting that individuals with certain mental disorders, including personality disorders such as obsessive-compulsive personality disorder (OCPD), may be more prone to work addiction. However, the characterization of personality organization (PO) among workaholics and its contribution to the persistence of work addiction remains unclear. METHODS: In this longitudinal study of a representative sample of young adults (N = 1748), we applied the Bergen Work Addiction Scale and the Inventory of Personality Organization. RESULTS: We found significant correlations between work addiction and identity diffusion, primitive psychological defenses, reality testing, and overall personality disorganization across three waves. A latent class growth analysis revealed three profiles: no work addiction, increasing work addiction, and constant moderate work addiction. Multinomial logistic regression analysis indicated that higher levels of personality disorganization in wave 1 and increases in personality disorganization between waves 1 and 3 were associated with higher odds of belonging to the increasing work addiction group. Similarly, higher overall personality disorganization in wave 1 was associated with higher odds of belonging to the constant moderate work addiction group. CONCLUSION: These findings suggest that individuals with chronic work addiction have lower levels of PO, and PO declines as work addiction persists. Screenings for work addiction are recommended to prevent potential mental health issues. Future research should explore the influence of workplace characteristics and work motivations on the association between work addiction and personality disorders.
Subject(s)
Personality , Humans , Longitudinal Studies , Male , Female , Adult , Young Adult , Behavior, Addictive/psychology , Behavior, Addictive/epidemiology , Personality Disorders/psychology , Personality Disorders/epidemiology , Personality Disorders/diagnosis , AdolescentABSTRACT
Background and objectives: Work addiction (WA), characterized by dimensions such as overcommitment, difficulties in detachment from work, and work-life imbalance, is presumed to be associated with increased smartphone usage, even during risky activities like driving. The study investigated the connection between WA and future problematic and hazardous smartphone use, considering personality factors: anxiety, rumination, and worry. Methods: A three-wave longitudinal study (N = 1,866) was conducted from March to July 2019, June to September 2020, and June to November 2021, involving a representative sample of 18-34-year-old residents in Hungary's capital. The study employed Hungarian versions of the Bergen Work Addiction Scale, Problematic Mobile Phone Use Questionnaire, Ruminative Response Scale, Anxiety subscale of the Brief Symptom Inventory 18, and Penn-State Worry Questionnaire. Additionally, author-developed questions on mobile phone use while driving were included. Results: At baseline, those at risk for WA showed more frequent mobile phone use while driving at both time points 2 and 3 compared to the non-risk group. Path analyses revealed rumination, anxiety at time 1, and worry at time 2 as significant mediators between baseline WA and mobile phone use while driving at time 3. However, when analyzing all three mediators together, only anxiety at time 1 and worry at time 2 remained significant. Discussion and conclusion: This study demonstrates that WA predicts future mobile phone use while driving through mediation by anxiety and worry. Our findings add to the growing evidence highlighting the detrimental aspects of WA, emphasizing the need for improved prevention and treatment strategies.
Subject(s)
Cell Phone Use , Cell Phone , Humans , Young Adult , Adolescent , Adult , Longitudinal Studies , Anxiety , Anxiety Disorders , SmartphoneABSTRACT
The present study was aimed at obtaining a more comprehensive understanding of the possible mediating factors in the morningness-eveningness â alcohol consumption relation. We explored the role of mediators such as sensation seeking, the frequency of going out in the evenings, and drinking motives. We tested the proposed mediation model via structural equation modeling based on cross-sectional research conducted among Hungarian adolescents and young adults (N = 1695, 42.5% male, Mage = 18.98, SDage = 1.89). The outcomes included the frequency of alcohol consumption and problematic drinking. Both alcohol consumption and problematic drinking were predicted in similar directions and magnitudes by sensation seeking, "going out," and coping drinking motives. However, eveningness still had a significant direct effect on alcohol consumption and problematic drinking after we controlled for sensation seeking, going out, and drinking motives. For problematic drinking, the possible role of drinking motives seems to be higher and more complex than it is for alcohol consumption. The mediators, such as sensation seeking, the amount of time spent out in the evenings, and drinking motives, can explain the eveningness â alcohol consumption relationship and should be targeted for alcohol prevention programs among evening-type adolescents.
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BACKGROUND: Previous studies have emphasized the role of religiosity as both a protective factor and a factor contributing to the success of recovery in the case of addictive beahaviors. However, the associations between religious status and the involvement in distinct addictive behaviors as well as the associations between religious status and psychological factors have not been comprehensively examined. Therefore, the aims of the present study were to extend the literature by examining the (i) relationship between religiosity and distinct addictive behaviors including substance use and behavioral addictions, and (ii) interactive effects of religious status and psychological factors on addictive behaviors. MATERIAL AND METHODS: Data from two representative samples were analyzed (National Survey on Addiction Problems in Hungary [NSAPH]: N = 1385; 46.8% male; mean age = 41.77 years [SD = 13.08]; and Budapest Longitudinal Study [BLS]: N = 3890; 48.4% male; mean age = 27.06 years [SD = 4.76]). Distinct addictive behaviors and psychological factors related to the psychological proneness to addictive behaviors (impulsivity, sensation seeking, rumination, well-being, mentalization, and worry) were comprehensively examined in relation to religious status (religious, agnostic, and non-religious). Chi-square, Kruskal-Wallis and Mann-Whitney (MW) tests and multinomial logistic regressions were performed. RESULTS: Religious individuals showed significantly lower involvement in addictive behaviors whereas agnostic individuals showed significantly higher involvement in addictive behaviors. With regards to psychological factors related to the proneness to addictive behaviors, agnostic individuals showed the highest level of psychological proneness. The results of multinomial regression models showed that religiosity was protective in the NSAPH sample. However, worry could overwrite the protective effect. In the BLS study, the protective role of religiosity was uncertain. It was not protective in itself, but through interaction with sensation seeking, rumination and uncertian mentalization, religiosity can also be protective. DISCUSSION: The findings highlight the general protective role of religiosity in addictions. However, interaction with some psychological contructs can modify the protective role of religious status. The study also highlights the need to take into account agnostic religious status of individuals in future research. Consequently, further studies are needed to explore the causality and mediating roles between these variables.
Subject(s)
Behavior, Addictive , Substance-Related Disorders , Humans , Male , Adult , Female , Longitudinal Studies , Religion , Behavior, Addictive/diagnosis , Behavior, Addictive/epidemiology , Substance-Related Disorders/psychologyABSTRACT
INTRODUCTION: Only a few studies have investigated the relationship between risk for gambling disorder (GD) and mentalization difficulties. However, these results on positive correlations were all from cross-sectional studies; therefore, it would be important to investigate the longitudinal relationship between the constructs. AIMS: It was aimed to identify subgroups of gamblers with different joint growth trajectories of risk for GD and hypomentalization (i.e., uncertainty of understanding own and others' mental states) and to compare the identified latent classes along impulsivity, sensation seeking and depression. METHODS: Data from waves 1-3 of the Budapest Longitudinal Study were used. The final sample included 219 young adult gamblers who completed the study questionnaire and reported past-year gambling in all three waves (Females: N = 93 [42.29%]; Mean age: 28.36 years [SD = 4.29]). Standardized questionnaires were administered to measure the main constructs. RESULTS: A four-class model was retained based on latent class growth analysis. Class 1 had consistently moderately high risk for GD and hypomentalization, and Class 4 presented consistently low risk for GD and hypomentalization. Classes 2-3 were characterized by low risk for GD and increasing hypomentalization. Class 1 had significantly higher sensation seeking and depression compared with the other subgroups in multiple cases. Class 4 showed significantly lower impulsivity and sensation seeking than the other classes. CONCLUSIONS: Elevated hypomentalization was presented among individuals with risk for GD. However, there is little empirical evidence to support that the two constructs have convergently changing trajectories. A cautious interpretation of the results is recommended due to low symptom presence.
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Gambling , Female , Humans , Young Adult , Adult , Gambling/diagnosis , Gambling/epidemiology , Longitudinal Studies , Cross-Sectional Studies , Impulsive Behavior , Surveys and QuestionnairesABSTRACT
Introduction: Young adulthood is considered a critical period in terms of non-medical use of sedatives/hypnotics (NMUSH) as well as different types of behavioral addictions (BAs). However, the relationship between these behaviors has received scarce attention among young adult samples. Therefore, the aim of the present study was to investigate the association between NMUSH and symptoms of distinct BAs among young adults. Materials and methods: Analyses were conducted based on the data of two large sample studies (including a representative sample) carried out with young adult samples. The following BAs were assessed: problematic internet use, problematic video gaming, problematic social media use, problem gambling, exercise addiction, eating disorders, compulsive buying behavior, problematic mobile phone use, work addiction, and hair pulling. Symptoms of distinct BAs were analyzed in three groups formed based on the NMUSH: non-users, lifetime users, and current users. Results: The symptoms of problematic internet use, problematic social media use, problem gambling, exercise addiction, eating disorders, compulsive buying behavior and work addiction were significantly more severe among lifetime and/or current non-medical sedative and hypnotic users, compared to the non-user participants. The symptoms of problematic mobile phone use were the most severe in the non-user group. Conclusions: The results suggest co-occurrence between NMUSH and distinct BAs among young adults. These findings draw attention to the need for preventive interventions for this high-risk population.
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Epidemiological and phenomenological studies suggest shared underpinnings between multiple addictive behaviors. The present genetic association study was conducted as part of the Psychological and Genetic Factors of Addictions study (n = 3003) and aimed to investigate genetic overlaps between different substance use, addictive, and other compulsive behaviors. Association analyses targeted 32 single-nucleotide polymorphisms, potentially addictive substances (alcohol, tobacco, cannabis, and other drugs), and potentially addictive or compulsive behaviors (internet use, gaming, social networking site use, gambling, exercise, hair-pulling, and eating). Analyses revealed 29 nominally significant associations, from which, nine survived an FDRbl correction. Four associations were observed between FOXN3 rs759364 and potentially addictive behaviors: rs759364 showed an association with the frequency of alcohol consumption and mean scores of scales assessing internet addiction, gaming disorder, and exercise addiction. Significant associations were found between GDNF rs1549250, rs2973033, CNR1 rs806380, DRD2/ANKK1 rs1800497 variants, and the "lifetime other drugs" variable. These suggested that genetic factors may contribute similarly to specific substance use and addictive behaviors. Specifically, FOXN3 rs759364 and GDNF rs1549250 and rs2973033 may constitute genetic risk factors for multiple addictive behaviors. Due to limitations (e.g., convenience sampling, lack of structured scales for substance use), further studies are needed. Functional correlates and mechanisms underlying these relationships should also be investigated.
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BACKGROUND AND AIMS: Changes in the nomenclature of addictions suggest a significant shift in the conceptualization of addictions, where non-substance related behaviors can also be classified as addictions. A large amount of data provides empirical evidence that there are overlaps of different types of addictive behaviors in etiology, phenomenology, and in the underlying psychological and biological mechanisms. Our aim was to investigate the co-occurrences of a wide range of substance use and behavioral addictions. METHODS: The present epidemiological analysis was carried out as part of the Psychological and Genetic Factors of the Addictive Behaviors (PGA) Study, where data were collected from 3,003 adolescents and young adults (42.6% males; mean age 21 years). Addictions to psychoactive substances and behaviors were rigorously assessed. RESULTS: Data is provided on lifetime occurrences of the assessed substance uses, their co-occurrences, the prevalence estimates of specific behavioral addictions, and co-occurrences of different substance use and potentially addictive behaviors. Associations were found between (i) smoking and problematic Internet use, exercising, eating disorders, and gambling (ii) alcohol consumption and problematic Internet use, problematic online gaming, gambling, and eating disorders, and (iii) cannabis use and problematic online gaming and gambling. CONCLUSIONS: The results suggest a large overlap between the occurrence of these addictions and behaviors and underlies the importance of investigating the possible common psychological, genetic and neural pathways. These data further support concepts such as the Reward Deficiency Syndrome and the component model of addictions that propose a common phenomenological and etiological background of different addictive and related behaviors.
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Behavior, Addictive/epidemiology , Disruptive, Impulse Control, and Conduct Disorders/epidemiology , Substance-Related Disorders/epidemiology , Adolescent , Adult , Comorbidity , Female , Health Surveys , Humans , Male , Young AdultABSTRACT
OBJECTIVES: Most of the addiction studies focus on very specific aspects of addictions, often with contradictory results, and integrated studies are quite rare. Experimental studies comparing underlying mechanisms of addictions and analyzing data from an integrative psychological and genetic perspective are almost nonexistent. The aim of the present paper is to describe the research protocol of the Psychological and Genetic Factors of Addictive Behaviors (PGA) study, which applies an integrative approach to understanding the acquisition, development, and maintenance of addictive behaviors. METHODS: A wide-spectrum national study was carried out. Data were collected from 3,003 adolescents. Addictions to both psychoactive substances and behaviors were thoroughly assessed via psychometrically robust scales, which also included assessment related to a wide range of related psychological dimensions. Additionally, a DNA sample was also collected from participants. RESULTS: The paper presents the detailed methodology of the PGA study. Data collection procedures, instrumentation, and the analytical approach used to attain the research objectives are described. CONCLUSIONS: Future plans, along with potential contributions of the PGA study, are also discussed. It is envisaged that the study will provide a unique opportunity to test possible mechanisms and causal pathways mediating the associations of genetic factors, psychological characteristics, and addictions.
Subject(s)
Behavior, Addictive/psychology , Adolescent , Behavior, Addictive/genetics , Clinical Protocols , Female , Gambling/genetics , Gambling/psychology , Humans , Male , Psychiatric Status Rating Scales , Substance-Related Disorders/genetics , Substance-Related Disorders/psychology , Surveys and Questionnaires , Young AdultABSTRACT
The Iowa Gambling Task is a behavioral measurement which was developed to examine decision-making based on the Somatic Marker Hypothesis. Participants have to make series of choices altogether 100 times from four decks of cards. The decks have different characteristics with regards to gains and losses. After the initial analyses - with a focus on patients with damage to the ventromedial prefrontal cortex - the tool soon became one of the most frequently used technique of measuring hot executive functions. It is also used to measure impulsivity. Structures involved in decision-making constitute the neural basis of the Task. IGT is applied in several different disorders (in connection with decision-making and impulsivity as well). In recent years different versions have been developed, and these modifications may have different effects on IGT performance, and may also influence what the Task measures exactly. With growing empirical evidence several questions have arisen in connection with the composition of the decks (gain-loss magnitude vs. frequency, prominent deck B phenomenon) which suggest to use other indexes as well besides the net scores.
Subject(s)
Decision Making , Gambling , Prefrontal Cortex/physiology , Choice Behavior , Humans , Neuropsychological TestsABSTRACT
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.
Subject(s)
Behavior, Addictive/diagnosis , Behavior, Addictive/epidemiology , Compulsive Behavior/diagnosis , Compulsive Behavior/epidemiology , Adolescent , Adult , Aged , Behavior, Addictive/psychology , Commerce , Compulsive Behavior/psychology , Female , Humans , Male , Middle Aged , Prevalence , Psychiatric Status Rating Scales , Psychometrics , Surveys and Questionnaires , Young AdultABSTRACT
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 (Cronbach's 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.
Subject(s)
Marijuana Abuse/diagnosis , Predictive Value of Tests , Substance Abuse Detection/methods , Adolescent , Factor Analysis, Statistical , Female , Humans , Hungary/epidemiology , Male , Marijuana Abuse/epidemiology , Marijuana Smoking/epidemiology , Prevalence , Psychometrics , Schools , Sensitivity and Specificity , Students/psychology , Universities , Young AdultABSTRACT
BACKGROUND AND AIMS: The growing availability of gambling is accompanied by the increased level of gambling related problems. As result, reliable and valid measurement tools that could quickly identify problem/pathological gambling are necessary. The goal of the study was the psychometric evaluation of the Hungarian version of Problem Gambling Severity Index (PGSI-HU) as well as the presentation of the first data gained by this instrument. METHODS: The administration of the instrument was conducted in Budapest on an adult sample. The sample (N=777) was recruited in lottery stores and other gambling venues. The sample consisted of 466 males and 311 females. The structural validation of the instrument was executed by confirmatory factor analysis and the concurrent validation was tested with the South Oaks Gambling Screen. RESULTS: The instrument's psychometric properties are appropriate. The majority of the sample (61.6%) is considered as non-problem gambler; 20.2 % of the sample is in the low-problem group; 11.8% is in the moderate level problem gambler category and 6.3% could be considered as pathological gambler. The results of the assessment of the concurrent validity indicate strong significant correlation among the PGSI and SOGS (r=0.802; p<0.001). CONCLUSIONS: The PGSI-HU is a valid and reliable instrument to identify problem and pathological gambling. The measure is recommended to be used both in clinical and research settings due to its appropriate properties.