818 research outputs found

    Comparing generalized and specific problematic smartphone/internet use: longitudinal relationships between smartphone application- based addiction and social media addiction and psychological distress

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    Background and aims: The literature has proposed two types of problematic smartphone/internet use: generalized problematic use and specific problematic use. However, longitudinal findings on the associations between the two types of problematic use and psychological distress are lacking among East-Asians. The present study examined temporal associations between both generalized and specific problematic use of the smartphone/internet, and psychological distress. Methods: Hong Kong University students (N 5 308; 100 males; mean age 5 23.75 years; SD ± 5.15) were recruited with follow-ups at three, six, and nine months after baseline assessment. All participants completed the Smartphone Application-Based Addiction Scale (for generalized problematic smartphone/internet use), the Bergen Social Media Addiction Scale (for specific problematic smartphone/internet use), and the Hospital Anxiety and Depression Scale (for psychological distress) in each assessment. Latent growth modeling (LGM) was constructed to understand temporal associations between generalized/specific problematic use and psychological distress. Results: The LGM suggested that the intercept of generalized problematic use was significantly associated with the intercept of psychological distress (standardized coefficient [b] 5 0.32; P < 0.01). The growth of generalized problematic use was significantly associated with the growth of psychological distress (b 5 0.51; P < 0.01). Moreover, the intercept of specific problematic use was significantly associated with the intercept of psychological distress (b 5 0.28; P < 0.01) and the growth of psychological distress (b 5 0.37; P < 0.01). Conclusion: The initial level of problematic use of the smartphone/internet may prevent psychological distress

    Screening and assessment tools for gaming disorder: A comprehensive systematic review

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    The inclusion of gaming disorder (GD) as an official diagnosis in the ICD-11 was a significant milestone for the field. However, the optimal measurement approaches for GD are currently unclear. This comprehensive systematic review aimed to identify and evaluate all available English-language GD tools and their corresponding evidence. A search of PsychINFO, PsychArticles, ScienceDirect, Scopus, Web of Science, and Google Scholar identified 32 tools employed in 320 studies (N = 462,249 participants). The evaluation framework examined tools in relation to: (1) conceptual and practical considerations; (2) alignment with DSM-5 and ICD-11 criteria; (3) type and quantity of studies and samples; and (4) psychometric properties. The evaluation showed that GD instrumentation has proliferated, with 2.5 tools, on average, published annually since 2013. Coverage of DSM-5 and ICD-11 criteria was inconsistent, especially for the criterion of continued use despite harm. Tools converge on the importance of screening for impaired control over gaming and functional impairment. Overall, no single tool was found to be clearly superior, but the AICA-Sgaming, GAS-7, IGDT-10, IGDS9-SF, and Lemmens IGD-9 scales had greater evidential support for their psychometric properties. The GD field would benefit from a standard international tool to identify gaming-related harms across the spectrum of maladaptive gaming behaviors.Peer reviewedFinal Accepted Versio

    The 21-item Barratt Impulsiveness Scale Revised (BIS-R-21): an alternative three-factor model

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    Background and aims: Due to its important role in both healthy groups and those with physical, mental and behavioral disorders, impulsivity is a widely researched construct. Among various self-report questionnaires of impulsivity, the Barratt Impulsiveness Scale is arguably the most frequently used measure. Despite its international use, inconsistencies in the suggested factor structure of its latest version, the BIS-11, have been observed repeatedly in different samples. The goal of the present study was therefore to test the factor structure of the BIS-11 in several samples. Methods: Exploratory and confirmatory factor analyses were conducted on two representative samples of Hungarian adults (N 5 2,457; N 5 2,040) and a college sample (N 5 765). Results: Analyses did not confirm the original model of the measure in any of the samples. Based on explorative factor analyses, an alternative three-factor model (cognitive impulsivity; behavioral impulsivity; and impatience/ restlessness) of the Barratt Impulsiveness Scale is suggested. The pattern of the associations between the three factors and aggression, exercise, smoking, alcohol use, and psychological distress supports the construct validity of this new model. Discussion: The new measurement model of impulsivity was confirmed in two independent samples. However, it requires further cross-cultural validation to clarify the content of self-reported impulsivity in both clinical and nonclinical samples

    Brain Imaging Studies in Pathological Gambling

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    This article reviews the neuroimaging research on pathological gambling (PG). Because of the similarities between substance dependence and PG, PG research has used paradigms similar to those used in substance use disorder research, focusing on reward and punishment sensitivity, cue reactivity, impulsivity, and decision making. This review shows that PG is consistently associated with blunted mesolimbic-prefrontal cortex activation to nonspecific rewards, whereas these areas show increased activation when exposed to gambling-related stimuli in cue exposure paradigms. Very little is known, and hence more research is needed regarding the neural underpinnings of impulsivity and decision making in PG. This review concludes with a discussion regarding the challenges and new developments in the field of neurobiological gambling research and comments on their implications for the treatment of PG

    Treatment Seeking Problem Gamblers: Characteristics of Individuals who Offend to Finance Gambling

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    The relationship between Crime and gambling is well established, however few studies have examined offending specifically to finance gambling within a UK gambling treatment-seeking population. 1226 treatment-seeking gamblers completed the Problem Gambling Severity Index (PGSI), Patient Health Questionnaire, and the Generalized Anxiety Disorder 7 item scale, and were asked whether they had committed any illegal behaviours to finance gambling. 42.5 % reported offending behaviour. A greater proportion of the offending group were single or married/ cohabiting, had a lower-level qualifications, lower income, had experienced childhood abuse, family mental health problems and gambling related harms compared to the non-offending group. Offenders reported higher anxiety, depression and disordered gambling scores. Disordered gamblers who offend make up a discrete and complex subgroup with distinct vulnerabilities. Findings will be useful to clinicians involved in the assessment and management of problematic gambling. Gamblers who offend to finance gambling may have different treatment needs and treatment providers should administer appropriate clinical interventions to address vulnerabilities

    Gambling disorder and suicide: An overview of the associated co-morbidity and clinical characteristics

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    Context: A high prevalence of suicide and attempted suicide in relation to gambling disorder is in increasing evidence in current scientific data. The objective of this review was to explore if there was a primary correlation between psychiatric co-morbidities and gambling and/or a secondary correlation with suicide acts. Evidence Acquisition: We performed a critical analysis of the most recent papers in the scientific literature in this regard and report on the most significant findings. Results: A direct relationship between gambling and suicidality was highlighted in a number of European, American, and Asian countries. However, it was not clear whether or not gambling increased the risk of suicidal behavior. Twogeneral trends were noted. The first was that gamblers with extreme gambling behavior incurred economic losses and debts to such an extent that suicidal acts appeared to be the only solution. The second was that suicidal acts by gamblers were precipitated by interpersonal and/or working challenges, in conjunction with personality traits of impulsivity and psychiatric co-morbidities. Conclusions: A combination of impulsivity, certain psychiatric disorders, and social factors may explain the frequent occurrence of suicidal behavior in gamblers
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