Komorbidität bei Pathologischem Glücksspiel *

Premper, Volker; Schulz, Wolfgang

doi:10.1024/2008.03.03

Cited by 20 publications

(16 citation statements)

References 14 publications

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“…In conclusion, psychological distress seems to be positively associated with the intensity of treatment but not with treatment per se. These results correspond with findings from Premper and Schulz [8], who found anxiety disorder to be a predisposing factor for the development of a gambling disorder.…”

Section: Discussionsupporting

confidence: 81%

“…In Germany, comorbidity of psychiatric conditions has mainly been assessed in clinical settings. In a sample of 101 pathological gamblers receiving inpatient treatment, 91.1% had at least one Axis I disorder over their lifetime [8]. In a sample of 337 pathological gamblers receiving outpatient treatment, Braun et al [9] found that half of the study participants (47.4%) suffered from depressive symptoms.…”

Section: Introductionmentioning

confidence: 99%

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Association of Sociodemographic, Psychopathological and Gambling-Related Factors with Treatment Utilization for Pathological Gambling

et al. 2013

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Background/Aims: Only a small percentage of pathological gamblers utilizes professional treatment for gambling problems. Little is known about which social and gambling-related factors are associated with treatment utilization. The aim of this study was to look for factors associated with treatment utilization for pathological gambling. Methods: The study followed a sampling design with 3 different recruitment channels, namely (1) a general population-based telephone sample, (2) a gambling location sample and (3) a project telephone hotline. Pathological gambling was diagnosed in a telephone interview. Participants with pathological gambling (n = 395) received an in-depth clinical interview concerning treatment utilization, comorbid psychiatric disorders and social characteristics. Results: Variables associated with treatment were higher age [odds ratio (OR) 1.05, 95% confidence interval (CI) 1.03-1.08], an increased number of DSM-IV criteria for pathological gambling (OR 1.34, 95% CI 1.06-1.70), more adverse consequences from gambling (OR 1.10, 95% CI 1.03-1.16) and more social pressure from significant others (OR 1.17, 95% CI 1.07-1.27). Affective disorders were associated with treatment utilization in the univariate analysis (OR 1.81, 95% CI 1.19-2.73), but multivariate analysis showed that comorbid psychiatric disorders were not independently associated. Conclusion: These results indicate that individuals with more severe gambling problems utilize treatment at an older age when more adverse consequences have occurred. Further research should focus on proactive early interventions.

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Section: Discussionsupporting

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Association of Sociodemographic, Psychopathological and Gambling-Related Factors with Treatment Utilization for Pathological Gambling

et al. 2013

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“…). Additional data from N = 101 gamblers undergoing inpatient treatment were also incorporated into analyses (Premper & Schulz ). PG revealed high comorbidity rates with SADs, mood disorders, anxiety disorders and personality disorders, with SADs demonstrating the strongest comorbidity.…”

Section: Co‐occurring Disorders (Comorbidities)mentioning

confidence: 99%

Pathological gambling: a review of the neurobiological evidence relevant for its classification as an addictive disorder

2016

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In light of the upcoming eleventh edition of the International Classification of Diseases (ICD-11), the question arises as to the most appropriate classification of “Pathological Gambling” (“PG”). Some academic opinion favors leaving “PG” in the “Impulse Control Disorder” (“ICD”) category, as in ICD-10, whereas others argue that new data especially from the neurobiological area favor allocating it to the category of “Substance-related and Addictive Disorders” (“SADs”), following the decision in the fifth revision of the Diagnostic and Statistical Manual of Mental Disorders. The current review examines important findings in relation to “PG”, with the aim of enabling a well-informed decision to be made with respect to the classification of “PG” as a “SAD” or “ICD” in ICD-11. Particular attention is given to cognitive deficits and underlying neurobiological mechanisms that play a role in “SADs” and “ICDs”. These processes are impulsivity, compulsivity, reward/punishment processing and decision making. In summary, the strongest arguments for subsuming “PG” under a larger “SAD” category relate to the existence of similar diagnostic characteristics; the high co-morbidity rates between the disorders; their common core features including reward-related aspects (positive reinforcement: behaviors are pleasurable at the beginning which is not the case for “ICDs”); the findings that the same brain structures are involved in “PG” and “SADs”, including the ventral striatum. Research on compulsivity suggests a relationship with “PG” and “SAD”, particularly in later stages of the disorders. Although research is limited for “ICDs”, current data do not support continuing to classify “PG” as an “ICD”.

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“…It remains unclear whether decision‐making deficits in DG caused by SUD or DG itself considering that prevalence rates of SUD comorbidity in DG (Stewart and Kushner ) go as high as almost 60% (Black and Moyer ; Cunningham‐Williams et al. ; Premper and Schulz ; Lorains et al. ), with lifetime prevalence at 73% for alcoholism and 60% for smoking (Petry et al.…”

Section: Introductionmentioning

confidence: 99%

Decision‐making deficits in patients diagnosed with disordered gambling using the Cambridge Gambling task: the effects of substance use disorder comorbidity

et al. 2014

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BackgroundDisordered gambling (DG) has often been associated with impaired decision-making abilities, suggesting a dysfunction in the ventromedial prefrontal cortex (vmPFC).AimsTo our knowledge, no previous study has accurately considered the effect of substance use disorder (SUD) comorbidity (including nicotine dependence) on decision-making impairments in DG.Methods and MaterialsWe employed the Cambridge Gambling Task (CGT) to assess a big cohort of patients diagnosed with DG (N = 80) against matched healthy controls (HCs) (N = 108). The cohort included DG patients with nicotine and alcohol dependence, alcohol dependence only and 12 “pure” nonsmokers with only DG diagnosis.ResultsPure nonsmoking, nicotine dependent as well as alcoholic DGs with current nicotine dependence, demonstrated a decision making profile, characterized by poor decision-making abilities and failure to make right choices (rational), closely resembling that of patients with vmPFC damage.DiscussionThis suggests that DGs with and without SUD comorbidity are equally affected in that domain of decision making abilities. Additionally, gambling diagnosis combined with alcohol and nicotine dependence involves a group of gambling patients with a relatively riskier decision making profile, showing that these patients apart from making irrational decisions take also more risks. Our findings highlight the importance of accounting for SUD comorbidities with useful implications for future research and therapy. Limitations of the current investigation are discussed.

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Komorbidität bei Pathologischem Glücksspiel *

Cited by 20 publications

References 14 publications

Association of Sociodemographic, Psychopathological and Gambling-Related Factors with Treatment Utilization for Pathological Gambling

Association of Sociodemographic, Psychopathological and Gambling-Related Factors with Treatment Utilization for Pathological Gambling

Pathological gambling: a review of the neurobiological evidence relevant for its classification as an addictive disorder

Decision‐making deficits in patients diagnosed with disordered gambling using the Cambridge Gambling task: the effects of substance use disorder comorbidity

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