Unique versus shared associations between self-reported behavioral addictions and substance use disorders and mental health problems: A commonality analysis in a large sample of young Swiss men

Work addiction and personality organization: Results from a representative, three-wave longitudinal study

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.

Is life going too fast? Exploring the unique and joint contributions of mindfulness, temperament, task load, and metacognitions about time

BACKGROUND

Previous research has shown that mindfulness is associated with slower passage of time in everyday life, and with lower self-reported time pressure. This study investigates some of the potential mechanisms behind these relationships.

METHODS

318 participants submitted their responses to an online survey which collected data regarding passage of time judgments, time pressure, trait mindfulness, temperament, task load, and metacognitions about time. Using commonality and dominance analyses, we explored how these variables contributed, either alone or jointly, to predicting how fast (or slow) time seems to pass for participants, or how pressed for time they felt.

RESULTS

Mindfulness and temperament had some overlaps in their ability to predict passage of time judgments and time pressure for durations at the month and 2-month scales. The temperamental trait of extraversion/surgency, as well as the Non-judging and Non-reacting facets of mindfulness were among the best predictors of passage of time judgments and time pressure. Attention-related variables were mainly related to time perception via their involvement in joint effects with other variables. Results also suggested that metacognitions about time interacted with other variables in predicting passage of time judgments, but only at the month scale. Finally, among all the variables included in this study, task load had the highest degree of involvement in predictions of self-reported time pressure at the week and month scales, but it contributed relatively little to predicting passage of time judgments.

CONCLUSIONS

Results suggest that mindfulness relates to passage of time through its involvement in inferential processes. The data also shows how different factors are related to PoTJ at different time scales. Finally, results suggest the existence of both similarities and differences in how passage of time and time pressure relate to the other included variables.

Psychometric properties of the generalised version of the Screener for Substance and Behavioural Addictions (SSBA-G): A comprehensive screening tool for substance-related and behavioural addictions

Assessing addictive behaviours comprehensively and efficiently is a challenge in both research and clinical practice. Consequently, we tested the psychometric properties of the Generalized Screener for Substance and Behavioural Addictions (SSBA-G), a novel, brief screening tool measuring functional impairment resulting from both substance and behavioural addictions. The SSBA-G was developed from the Screener for Substance and Behavioural Addictions (Schluter et al., 2018) and tested in four samples including university students in Canada (n = 481) and the US (n = 164) as well as community adults in Canada (n = 301), and Hungary (n = 79). Confirmatory factor analysis supported the hypothesized bifactor model of the SSBA-G. Receiver-operation characteristic analyses revealed high differentiation accuracy (AUC=0.86-.95), as well as identical ideal cut points across the Substance Addiction (SSBA-G-S) and Behavioural Addiction (SSBA-G-B) Subscales. Results indicated good-to-excellent sensitivity and moderate-to-good specificity. The SSBA-G demonstrated excellent internal consistency and test-retest reliability as well as promising concurrent validity in relation to the original SSBA and additional questions regarding addiction-related impairment. The SSBA-G also showed good convergent and divergent validity with indicators of general mental health. These results indicate that the SSBA-G is a psychometrically sound and efficient measure of addiction-related impairment across substances and excessive behaviours.

Co-occurrence of Common Biological and Behavioral Addictions: Using Network Analysis to Identify Central Addictions and Their Associations with Each Other

The present study used network analysis to examine the network properties (network graph, centrality, and edge weights) comprising ten different types of common addictions (alcohol, cigarette smoking, drug, sex, social media, shopping, exercise, gambling, internet gaming, and internet use) controlling for age and gender effects. Participants (N = 968; males = 64.3%) were adults from the general community, with ages ranging from 18 to 64 years (mean = 29.54 years; SD = 9.36 years). All the participants completed well-standardized questionnaires that together covered the ten addictions. The network findings showed different clusters for substance use and behavioral addictions and exercise. In relation to centrality, the highest value was for internet usage, followed by gaming and then gambling addiction. Concerning edge weights, there was a large effect size association between internet gaming and internet usage; a medium effect size association between internet usage and social media and alcohol and drugs; and several small and negligible effect size associations. Also, only 48.88% of potential edges or associations between addictions were significant. Taken together, these findings must be prioritized in theoretical models of addictions and when planning treatment of co-occurring addictions. Relatedly, as this study is the first to use network analysis to explore the properties of co-occurring addictions, the findings can be considered as providing new contributions to our understanding of the co-occurrence of common addictions.

Associations between smartphone use and mental health and well-being among young Swiss men

BACKGROUND AND AIMS

Intense use of smartphones is associated with mental health problems and low well-being. However, little is known about the mental health and well-being of non- and low-level users. This study investigated the possibly non-linear associations between time spent using a smartphone, including non-users, and mental health and well-being among young adults.

METHODS

Between 2016 and 2018, 5315 young Swiss men (M = 25.45 years old, SD = 1.25) completed a questionnaire assessing smartphone use, daily time spent using a smartphone, mental health and well-being (i.e. depression, social anxiety, attention deficit hyperactivity disorder, life satisfaction, stress) and potential confounding variables (social capital, personality, education). The associations of smartphone use and time spent using a smartphone (linear and quadratic associations) with mental health and well-being were tested using regression models.

RESULTS

Non-users (4.3%) reported worse mental health and well-being than smartphone users on all outcomes. Time spent using a smartphone was linearly associated with higher rates of social anxiety, depression, attention deficit hyperactivity disorder and lower levels of life satisfaction. The association with stress was non-linear, with significant linear and quadratic coefficients of time spent using a smartphone. Associations were partially attributable to confounding variables (i.e. social capital, personality, and education).

CONCLUSIONS

Non-users and intense users of smartphones have lower levels of mental health and well-being than low-level users. Although society and mental health professionals are deeply concerned about the potentially negative consequences of the ever-increasing use of smartphones, the present study suggested that not using a smartphone may also indicate problems.

Evaluation of the Psychometric Properties of the Arab Compulsive Internet Use Scale (CIUS) by Item Response Theory Modeling (IRT)

INTRODUCTION

The psychometric properties of the Arab translation of the Compulsive Internet Use Scale (CIUS) have been previously studied by confirmatory factor analysis (CFA) with AMOS software using the asymptotically distribution-free (ADF) estimator. Unidimensionality has been achieved at the cost of correlating several item variance errors. However, several reviews of SEM software packages and estimation methods indicate that the option of robust standard errors is not present in the AMOS package and that ADF estimation may yield biased parameter estimates. We therefore explored a second analysis through item response theory (IRT) using the parametric graded response model (GRM) and the marginal maximum likelihood (MML) estimation method embedded in the LTM package of R software. Differential item functioning (DIF) or item bias across subpopulations was also explored within IRT framework as different samples were investigated. The objective of the current study is to (1) analyze the Arab CIUS scale with IRT, (2) investigate DIF in three samples, and (3) contribute to the ongoing debate on Internet-use-related addictive behaviors using the CIUS items as a proxy.

METHODS

We assessed three samples of people, one in Algeria and two in Lebanon, with a total of 1520 participants.

RESULTS

Almost three out of every five items were highly related to the latent construct. However, the unidimensionality hypothesis was not supported. Furthermore, besides being locally dependent, the scale may be weakened by DIF across geographic regions. Some of the CIUS items related to increasing priority, impaired control, continued use despite harm, and functional impairment as well as withdrawal and coping showed good discriminative capabilities. Those items were endorsed more frequently than other CIUS items in people with higher levels of addictive Internet use.

CONCLUSIONS

Contrary to earlier ADF estimation findings, unidimensionality of the CIUS scale was not supported by IRT parametric GRM in a large sample of Arab speaking participants. The results may be helpful for scale revision. By proxy, the study contributes to testing the validity of addiction criteria applied to Internet use related-addictive behaviors.

Technology-Mediated Sexual Interactions, Social Anxiety, and Sexual Wellbeing: A Scoping Review

Technology-mediated sexual interactions (TMSI) are interpersonal exchanges via technology of self-created sexual material, including photos, videos, and auditory or text messages. There is little research on the factors that predict both TMSI experiences and their sexual wellbeing outcomes. Social anxiety is anxiety experienced in response to social or performance situations. From a cognitive–behavioural perspective, people higher in social anxiety may avoid TMSI, preventing positive or negative consequences. They also may use TMSI to avoid the anxiety caused by in-person sexual interactions, benefiting from access to sexual interactions while perpetuating anxiety about them. The purpose of this scoping review was to explore the role of social anxiety in TMSI and its sexual wellbeing outcomes. We executed a comprehensive search strategy across eight academic databases and searched reference lists of included articles. We included 19 articles written in English or French that had a human sample and were published between 1991 and 2021 and evaluated connections between social anxiety constructs (e.g., shyness, anxiety) and TMSI-related experiences (e.g., sexting, internet sex addiction). The pattern of results suggested that social anxiety constructs may predict some but not all forms of TMSI. Future research from a cognitive–behavioural perspective will expand knowledge on social anxiety, TMSI, and its sexual wellbeing outcomes.

Development and validation of the Reward Deficiency Syndrome Questionnaire (RDSQ-29)

BACKGROUND

The reward deficiency syndrome (RDS) integrates psychological, neurological, and genetic factors of addictive, impulsive, and compulsive behaviors. However, to date, no instrument has been validated to assess the RDS construct.

AIMS

The present study developed and tested a tool to assess RDS.

METHODS

Data were collected on two college and university samples. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed on Sample 1 (N = 1726), and confirmatory analysis was conducted on an independent sample (N = 253). Impulsivity and sensation-seeking were assessed.

RESULTS

Based on EFAs, a 29-item Reward Deficiency Syndrome Questionnaire (RDSQ-29) was developed, containing four subscales (lack of sexual satisfaction, activity, social concerns, and risk-seeking behavior). CFA indicated good fit (comparative fit index (CFI) = 0.941; Tucker-Lewis index (TLI) = 0.933; root mean square error of approximation (RMSEA) = 0.068). Construct validity analysis showed strong relationship between sensation-seeking and the RDS scale.

CONCLUSION

The RDSQ-29 is an adequate scale assessing psychological and behavioral aspects of RDS. The RDSQ-29 assesses psychological and behavioral characteristics that may contribute to addictions generally.

Polysubstance Use Is Positively Associated with Gaming Disorder Symptom Severity: A Latent Class Analytical Study

INTRODUCTION

The link between gaming disorder (GD) and substance use amongst adolescents is not clear. Some studies reported positive associations, whereas others suggested that alcohol and illicit drug use are not related to GD severity.

OBJECTIVES

The present study aimed to identify empirically based latent classes of alcohol and illicit drug use amongst adolescents and explore their associations with GD symptom severity and whether endorsement of specific criteria of GD is linked to the membership of latent classes of alcohol and illicit drug use.

METHODS

Data of the national sample of Hungarian adolescents from the Health Behaviour in School-aged Children survey (N = 2,768; females: 52.08%; mean age: 16.73 years) were analysed. Measures for frequency of alcohol and illicit drug use, gaming, GD symptom severity, and life satisfaction were included in the analyses.

RESULTS

Latent class analysis discriminated 4 subgroups of alcohol and illicit drug use: polysubstance users, high-risk alcohol users, moderate alcohol users, and infrequent substance users. Polysubstance users presented significantly higher levels of GD symptom severity and higher odds for endorsement of criteria of "giving up other activities" and "negative consequences."

CONCLUSIONS

Positive associations were shown between higher GD severity and the polysubstance using class. The roles of criteria of "giving up other activities" and "negative consequences" were highlighted in more severe substance use patterns. However, GD severity and criteria did not differ as a function of the level of alcohol use. These findings may imply common roots of GD and illicit drug use in adolescents.

Gender-Based Differences and Associated Factors Surrounding Excessive Smartphone Use Among Adolescents: Cross-sectional Study

BACKGROUND

Excessive smartphone use is a new and debated phenomenon frequently mentioned in the context of behavioral addiction, showing both shared and distinct traits when compared to pathological gaming and gambling.

OBJECTIVE

The aim of this study is to describe excessive smartphone use and associated factors among adolescents, focusing on comparisons between boys and girls.

METHODS

This study was based on data collected through a large-scale public health survey distributed in 2016 to pupils in the 9th grade of primary school and those in the 2nd grade of secondary school. Bayesian binomial regression models, with weakly informative priors, were used to examine whether the frequency of associated factors differed between those who reported excessive smartphone use and those who did not.

RESULTS

The overall response rate was 77% (9143/11,868) among 9th grade pupils and 73.4% (7949/10,832) among 2nd grade pupils, resulting in a total of 17,092 responses. Based on the estimated median absolute percentage differences, along with associated odds ratios, we found that excessive smartphone use was associated with the use of cigarettes, alcohol, and other substances. The reporting of anxiety and worry along with feeling low more than once a week consistently increased the odds of excessive smartphone use among girls, whereas anxiety and worry elevated the odds of excessive smartphone use among boys. The reporting of less than 7 hours of sleep per night was associated with excessive smartphone use in all 4 study groups.

CONCLUSIONS

The results varied across gender and grade in terms of robustness and the size of estimated difference. However, excessive smartphone use was associated with a higher frequency of multiple suspected associated factors, including ever having tried smoking, alcohol, or other substances; poor sleep; and often feeling low and feeling anxious. This study sheds light on some features and distinctions of a potentially problematic behavior among adolescents.

Profile of Treatment-Seeking Gaming Disorder Patients: A Network Perspective

The increasing presence of gaming disorder in recent years has led to major efforts to identify the specific predictors that have a high impact on the profile of people seeking treatment for this mental condition. The purpose of this study was to explore the network structure of the correlates of gaming disorder considering sociodemographic features and other clinical symptoms. Network analysis was applied to a sample of patients who met clinical criteria for gaming disorder (n = 117, of ages ranging from 15 to 70 yrs-old). Variables considered in the network included sex, age, socioeconomic position, global emotional distress, age of onset and duration of the gaming disorder, personality traits and the presence of other addictive behaviors (tobacco, alcohol and behavioral addictions). The central nodes in the network were global psychological distress, chronological age, and age of onset of gaming related problems. Linkage analysis also identified psychopathological status and age as the variables with the most valuable information in the model. The poorest relevance in the analysis was for the duration of gaming problems and socioeconomic levels. Modularity analysis grouped the nodes within four clusters. Identification of the variables with the highest centrality/linkage can be particularly useful for developing precise management plans to prevent and treat gaming disorder related problems.

Food Addiction and Its Relationship to Weight- and Addiction-Related Psychological Parameters in Individuals With Overweight and Obesity

Background and Aims: It is assumed that a relevant subgroup of individuals experiences an addiction-like eating behaviour (Food Addiction), characterized by an impaired control over eating behaviour, emotional eating and food craving. Individuals experiencing Food Addiction partially share common symptomatology with Binge-Eating-Disorder and Bulimia Nervosa. The aim of this study was to investigate the prevalence of Food Addiction, general psychopathology, and associations with weight- and addiction-related constructs in individuals with overweight and obesity, who did not suffer from Binge-Eating-Disorder or Bulimia Nervosa.

Methods:N=213 (67.1% female; M_BMI=33.35kg/m², SD_BMI=3.79kg/m²) participants who were included in a weight loss program (I-GENDO project) reported BMI and completed questionnaires before the start of the treatment. Food Addiction severity, depressive symptoms, alcohol use disorder, internet use disorder, psychological distress, impulsivity personality trait, impulsive and emotional eating behaviour, food related inhibitory control, weight bias internalization, and self-efficacy were assessed.

Results: The prevalence of Food Addiction was 15% with higher, although not statistically significant, prevalence in female (18.2%) compared to male (8.6%) participants. Food Addiction was associated with higher BMI at baseline assessment, low self-esteem, impulsive and emotional eating behaviour, weight bias internalization, and deficits in food-related inhibitory control. In addition, correlations were found between Food Addiction and severity of depressive symptoms, internet use disorder, and psychological distress.

Conclusion: A relevant subgroup of participants experiences Food Addiction even when controlling for Binge-Eating-Disorder and Bulimia Nervosa. Future studies are warranted that investigate whether Food Addiction affects treatment success.

A cross-sectional study on extensive gaming in adolescents

BACKGROUND

Extensive gaming and the consequences thereof is frequently reported from child and adolescent psychiatry and school health care. The behavior is associated with compulsion, psychiatric and physical symptoms, impaired cognitive development and poorer school performance. This phenomenon has been described as an emergent health issue for men and little is known about its potential gender-specific characteristics. The aim of this study was to explore extensive gaming among male and female adolescents and to investigate whether the frequency of often feeling low, often feeling anxious, self-reported ADHD, self-reported ASD, being satisfied with one's own general health, poor sleep, loneliness, and having tried smoking, alcohol, and/or other substances differed among those with and without extensive gaming.

DESIGN AND METHODS

This study was based on data collected through a public health survey distributed in 2016 to pupils in 9th grade of primary school and in second grade of secondary school, including a total of 13498 participants. The association between extensive gaming and different factors was estimated among male and female respondents separately.

RESULTS

Roughly 30% of the male and 5% of the female respondents were categorized as extensive gamers. Extensive gaming was associated with a higher prevalence of poor sleep and a lower prevalence of being satisfied with one's own health among boys and (to a higher degree) among girls.

CONCLUSIONS

Altogether, our results contribute to the impression that extensive gaming is more heavily related to subjective health complaints among female than male adolescents.

Gaming, substance use and distress within a cohort of online gamblers

BACKGROUND

The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) included Internet Gaming Disorder (IGD) as a tentative diagnosis and inquires for additional research. The research on gaming is inconsistent regarding measurement approach and diagnostic cut-offs. Some scholars suggest the core approach, accentuating some of the diagnostic criteria to avoid pathologizing harmless behavior. Also, the co-occurrence of gaming and other addictions, gambling in specifically, is frequently reported but poorly understood. The present study aimed to explore gaming within a population of online gamblers in order to evaluate the core approach but also to investigate the possible co-occurrence of different addictions.

DESIGN AND METHODS

The present study is derived from material collected for a study on online gambling. The study addressed 1007 adult individuals from the general population who had gambled for money on an online casino site or an online betting site, on at least 10 occasions during the past 12 months.

RESULTS

Both the level of distress and problem gambling increased as the severity of gaming increased. The co-occurrence of problems with alcohol, illicit drug use/prescription sedatives/strong painkillers and gambling was roughly 50% among the addictive gamers.

CONCLUSION

The present study suggests that the core approach manages to distinguish in severity of gaming in regards to interference and comorbidity. We also brought light to the occurrence of gaming within a population of gamblers and our results indicate that this specific group of addicted gamers are particularly burdened by co-occurrent addictive behaviors and severe distress.

Gaming, substance use and distress within a cohort of online gamblers

Background: The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) included Internet Gaming Disorder (IGD) as a tentative diagnosis and inquires for additional research. The research on gaming is inconsistent regarding measurement approach and diagnostic cut-offs. Some scholars suggest the core approach, accentuating some of the diagnostic criteria to avoid pathologizing harmless behaviour. Also, the co-occurrence of gaming and other addictions, gambling in specifically, is frequently reported but poorly understood. The present study aimed to explore gaming within a population of online gamblers in order to evaluate the core approach but also to investigate the possible co-occurrence of different addictions. Design and methods: The present study is derived from material collected for a study on online gambling. The study addressed 1007 adult individuals from the general population who had gambled for money on an online casino site or an online betting site, on at least 10 occasions during the past 12 months. Results: Both the level of distress and problem gambling increased as the severity of gaming increased. The co-occurrence of problems with alcohol, illicit drug use/prescription sedatives/strong painkillers and gambling was roughly 50% among the addictive gamers. Conclusion: The present study suggests that the core approach manages to distinguish in severity of gaming in regards to interference and comorbidity. We also brought light to the occurrence of gaming within a population of gamblers and our results indicate that this specific group of addicted gamers are particularly burdened by co-occurrent addictive behaviours and severe distress.

Prosocialness in young males with substance and behavioral addictions

BACKGROUND AND AIMS

Social determinants are closely related to addiction, both as a cause and a consequence of substance use and other addictive behaviors. The present paper examines prosocialness (i.e. the tendency to help, empathize, and care for others) among a population of young males. We compared prosocialness across different types of addiction and examined whether prosocialness varied according to the presence of multiple addictions.

METHODS

A sample of 5,675 young males, aged 19-29 years old (Mean = 21.4; Median = 21), completed a questionnaire that included screening tools to identify addictive behaviors with regards to alcohol, nicotine, cannabis, gambling, and gaming. The questionnaire also included a scale to measure prosocialness.

RESULTS

Compared to a no-addiction control group, the subgroups of young men suffering from behavioral addictions (i.e., gambling and gaming) reported the lowest levels of prosocialness. Respondents with an alcohol addiction also showed lower prosocialness compared to no-addiction controls. By contrast, no significant differences in prosocialness were found between respondents with nicotine disorder or cannabis disorder and the no-addiction controls. Furthermore, the number of addictions had no clear, observable effects on prosocialness. Significant differences were found between the no-addiction control group and the groups reporting one or more addictions, but not between the separate groups reporting one, two, and three or more addictions.

DISCUSSION AND CONCLUSIONS

A better understanding of the social dimension affecting young males with addiction, particularly gambling and gaming addictions, may be useful for their prevention and treatment.

Monetary Reward Discounting, Inhibitory Control, and Trait Impulsivity in Young Adults With Internet Gaming Disorder and Nicotine Dependence

Internet Gaming Disorder (IGD) has been considered a potential behavioral or non-substance addiction that requires further investigation. Recognition of the commonalities between IGD and Substance Use disorders (SUD) would be of great help to better understand the basic mechanisms of addictive behaviors and excessive Internet gaming. However, little research has targeted a straightforward contrast between IGD and SUD on neuropsychological aspects. The present study thus aimed to explore the associations of reward processing and inhibitory control with IGD and nicotine dependence (ND) in young adults. Fifty-eight IGD and 53 ND individuals, as well as 57 age- and gender-matched healthy controls, were assessed with a series of measurements including the Delay-discounting Test (DDT), Probability Discounting Test (PDT), the Stroop Color-Word Task, a revised Go/No Go Task, and the Barratt Impulsiveness Scale (BIS-11). Multivariate analysis of variance (mANOVA) models revealed that both IGD and ND groups scored higher than healthy controls on the BIS-11 attentional, motor, and non-planning impulsiveness (Cohen's d = 0.41-1.75). Higher degrees of delay discounting on the DDT were also found in IGD and ND groups compared to healthy controls (Cohen's d = 0.53-0.69). Although IGD group did not differ from healthy controls on the PDT, ND group had a lower degree of probability discounting than healthy controls (Cohen's d = 0.55), suggesting a reduction in risk aversion. Furthermore, ND subjects showed a lower correct accuracy in the incongruent trials of the Stroop task than healthy controls (Cohen's d = 0.61). On the Go/No Go task, both IGD and ND groups had a lower correct accuracy in the No-Go trials than healthy controls (Cohen's d = 1.35-1.50), indicating compromised response inhibition. These findings suggested that IGD was linked to both anomalous reward discounting and dysfunctional inhibitory control, which was comparable with one typical SUD category (i.e., ND). This study might promote a better understanding of the pathogenesis of IGD as a potential addictive disorder similar to SUD.

Online Gambling's Associations With Gambling Disorder and Related Problems in a Representative Sample of Young Swiss Men

Background and Aims: Internet gambling has recently grown in popularity, but relatively little is known about how online and the combination of online and offline (mixed) gambling are associated with gambling disorder (GD) and related problems. The present research examined in a cohort study sample of young Swiss men how their gambling activities and gambling-related problems differed across the spectrum from offline to online gambling. Sample: A general-population based sample from the Cohort Study on Substance Use Risk Factors (C-SURF), consisting of 5,352 young Swiss men (mean age 28.26 years old). Measures: The spectrum from exclusively offline to almost exclusively online (>90% of gambling money spent online) gambling was measured using one question about the proportion of gambling money spent online. Total money gambled and time spent on gambling were also assessed. GD severity (range 0-9) was measured using items reflecting the nine DSM-5 GD criteria. The number of gambling-related problems (e.g., financial difficulties, range 0-10), other addictive disorders and mental health problems were also inquired about. Methods: We estimated a generalised linear model using a count model (negative binomial link function) for GD severity and gambling-related problems associated with the amounts and proportions of money gambled online and offline. Results: The number of GD criteria were associated with money gambled online (IRR [95%CI] = 2.81 [2.43, 3.24]) and offline (IRR = 2.68 [2.40, 3.00]). This was also found for the number of gambling-related problems (IRR = 2.43 [2.13, 2.79] and IRR = 2.89 [2.59, 3.23]). Compared with exclusively-offline gamblers, mixed gamblers (26-90% of money gambled online) showed the highest levels of GD symptoms and gambling-related problems, followed by the almost-exclusively-online gamblers (≥91% money gambled online) and, overall, these associations were still significant after adjustment for overall involvement in gambling (time spent and money gambled). Levels of other addictive disorders and mental health problems were higher among mixed gamblers than among offline-only gamblers, but levels among almost-exclusively-online gamblers were not. Conclusions: Symptoms of gambling disorder and gambling related problems are highest among gamblers engaging in both offline and online gambling. Prevention efforts need to target the combination of offline and online gambling.

Effects and mechanisms of action of light-emitting diodes on the human retina and internal clock

White light-emitting diodes (LEDs) will likely become the most used lighting devices worldwide in the future because of their very low prices over the course of their long lifespans which can be up to several tens of thousands of hours. The expansion of LED use in both urban and domestic lighting has prompted questions regarding their possible health effects, because the light that they provide is potentially high in the harmful blue band (400-500 nm) of the visible light spectrum. Research on the potential effects of LEDs and their blue band on human health has followed three main directions: 1) examining their retinal phototoxicity; 2) examining disruption of the internal clock, i.e., an out-of-sync clock, in shift workers and night workers, including the accompanying health issues, most concerningly an increased relative risk of cancer; and 3) examining risky, inappropriate late-night use of smartphones and consoles among children and adolescents. Here, we document the recognized or potential health issues associated with LED lighting together with their underlying mechanisms of action. There is so far no evidence that LED lighting is deleterious to human retina under normal use. However, exposure to artificial light at night is a new source of pollution because it affects the circadian clock. Blue-rich light, including cold white LEDs, should be considered a new endocrine disruptor, because it affects estrogen secretion and has unhealthful consequences in women, as demonstrated to occur via a complex mechanism.

Perceived problems with adolescent online gaming: National differences and correlations with substance use

BACKGROUND

Not much is known about the correlation between gaming problems and substance use across different countries. This paper presents cross-national analyses of different gaming indicators and their relationship to substance use.

METHODS

Based on data from the 2015 ESPAD study, differences in the relationship between gaming and substance use across 35 countries were analysed using multi-level logistic regression, using substance use as an individual level predictor, economic wealth as a country-level predictor and a combined problem gaming indicator as the outcome.

RESULTS

Multi-level logistic regressions revealed significant correlations between individual substance use and gaming problems, which varied across countries and were moderated by economic wealth. Students who used alcohol, tobacco or cannabis and who lived in high-income countries had a smaller risk of scoring positively on a combined problem gaming indicator than students who used alcohol, tobacco or cannabis and who lived in less prosperous countries.

DISCUSSION

Different gaming indicators varied substantially across countries, with self-perceived gaming problems being more common in countries with a low prevalence of gaming. Significant cross-level effects demonstrate the need to take the societal context into account when the relationship between problem gaming and substance use is analysed. Prevention measures need to take the fact into account that patterns of substance use among problem gamers vary across countries.

The identification of a risk profile for young people with borderline personality pathology: a review of recent literature

The shift towards early intervention in borderline personality disorder (BPD) has introduced a clinical staging approach in the treatment for young persons with BPD. Complementary to staging is profiling: the identification of psychological, social and biological risk variables that may predict prognosis. The aim of this paper is to provide a risk profile for BPD by systematically reviewing literature on potential risk markers for poor prognosis for BPD. An extensive literature search revealed evidence for seven categories of risk factors: adverse childhood experiences, BPD symptom profile, associated mental disorders, personality impairments and traits, current interpersonal context, biological disposition and socio-demographics. Including these markers within the current staging approach, to compose individual risk profiles for poor BPD prognosis, may assist in personalizing treatment for young people with BPD and in refining research protocols for treatment outcome studies.

Co-occurrences of substance use and other potentially addictive behaviors: Epidemiological results from the Psychological and Genetic Factors of the Addictive Behaviors (PGA) Study

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.

Technology-Based Psychosocial Interventions for People with Borderline Personality Disorder: A Scoping Review of the Literature

Evidence-based psychosocial interventions for borderline personality disorder (BPD) still face multiple challenges regarding treatment accessibility, adherence, duration, and economic costs. Over the last decade, technology has addressed these concerns from different disciplines. The current scoping review aimed to delineate novel and ongoing clinical research on technology-based psychosocial interventions for patients with BPD. Online databases (PubMed, Cochrane Library, EMBASE, Web of Science, PsycInfo, and Google Scholar) were searched up to June 2020. Technology-based psychosocial treatments included innovative communication (eHealth) and computational (e.g., artificial intelligence), computing (e.g., computer-based), or medical (e.g., functional magnetic resonance imaging [fMRI]) software. Clinical research encompassed any testing stage (e.g., feasibility, efficacy). Fifteen studies met the inclusion criteria. The main findings were the following: almost two-thirds of the studies (9/15) tested software explicitly conceived as adjunctive interventions to conventional therapy; nearly half of the studies (7/15) were referred to as dialectical behavior therapy-based software; most studies (13/15) were focused on the initial stage of the clinical research cycle (feasibility/acceptance/usability testing), reporting good results at this point; more than one-third of the studies (6/15) tested mobile apps; there is emerging evidence for Internet-based interventions and real-time fMRI biofeedback but only little evidence for mHealth interventions, virtual and augmented reality, and computer-based interventions; there was no computational technology-based clinical research; and there was no satisfaction/preference, security/safety, or efficiency testing for any software. Taken together, the results suggest that there is a growing but still incipient amount of technology-based psychosocial interventions for BPD supported by some kind of clinical evidence. The limitations and directions for future research are discussed.