Dual diagnosis of obsessive compulsive and compulsive buying disorders: Demographic, clinical, and psychiatric correlates

Obsessive-compulsive, harm-avoidance and persistence tendencies in patients with gambling, gaming, compulsive sexual behavior and compulsive buying-shopping disorders/concerns

BACKGROUND AND AIMS

There is a growing interest in determining the specific role of obsessive-compulsive features in different behavioral addictions. However, more studies comparing sizable clinical populations with different addictions are needed.Therefore, a main aim of the present study was to explore the presence of obsessive-compulsive features among people with different behavioral addictions (gambling disorder, internet gaming disorder, compulsive sexual behavior disorder and compulsive buying-shopping concerns). Through a clustering procedure, the existence of empirical clusters among treatment-seeking patients based on obsessive-compulsive measures was explored.

MATERIALS AND METHODS

The Symptom Checklist-Revised, and the Temperament and Character Inventory-Revised were obtained from 4,010 treatment-seeking patients. Obsessive-compulsive features were measured with the obsessive-compulsive subscale of the Symptom Checklist-Revised and the harm avoidance and persistence dimensions of the Temperament and Character Inventory-Revised. Cluster analysis was applied to explore the existence of empirical groups based on obsessive-compulsive features.

RESULTS

Patients with compulsive sexual behavior disorder and compulsive buying-shopping disorder reported the highest scores on the obsessive-compulsive subscale, while patients with gambling disorder showed the lowest scores on harm avoidance, and patients with internet gaming disorder the lowest scores on persistence. Two mutually exclusive clusters were identified. Cluster 1 exhibited a more maladaptive psychopathological and personality profile than cluster.

DISCUSSION AND CONCLUSIONS

These results provide new evidence regarding obsessive-compulsive features in specific behavioral addictions. Therapeutic approaches should consider that different addictions may present distinct levels of obsessive-compulsive features.

Reactance, Decisional Procrastination, and Hesitation: A Latent Class Analysis of Clutter Behavior

During the 2019-2020 global pandemic, mandated time at home suggested engagement in personal projects, such as home decluttering. Clutter (an overabundance of possessions) may impede one's quality of life by interfering with space livability and social connections and prompting negative affect and financial problems. The present study explored action-state orientation, psychological reactance, and decisional procrastination with 227 American adults (M age = 49.9 years old). A latent class analysis tested for differences in cognition across groups. Results supported that persons who struggle with clutter reflect clusters or "classes" given their self-reported cognitive processes, with hesitant and indecisive participants experiencing greater negative impacts of clutter than action-oriented and decisive participants. Our findings suggested improving the decision-making and goal-directed capacities of those struggling with clutter may be effective as preventive and/or interventive strategies. Future research might consider when hesitation to initiate challenging tasks and indecision emerge in the decluttering timeline and how those who are prone to these cognitions may be supported in managing their personal possessions.

Co-Occurring Obsessive-Compulsive Disorder and Compulsive Sexual Behavior: Clinical Features and Psychiatric Comorbidities

Obsessive-compulsive disorder (OCD) commonly co-occurs with other psychiatric conditions. Though research is limited, there is preliminary evidence that OCD also co-occurs with compulsive sexual behavior (CSB). Yet, few studies have investigated the demographic, clinical, and psychiatric comorbidities associated with co-occurring OCD and CSB. To address this gap, the current study aimed to evaluate rates of co-occurring OCD and CSB, identify demographic and clinical factors associated with comorbid OCD and CSB, and assess associated psychiatric comorbidity. Participants (N = 950) were patients of a large multisite treatment for OCD. Standardized self-report measures were used to assess demographic and clinical characteristics such as anxiety, depression, and severity and dimensions of OCD. Semi-structured interviews including the SCID were used to assess psychiatric comorbidities. A total of 36 (3.8%) of participants met the criteria for CSB. Binary logistic regression analysis revealed that males were significantly more likely to present with CSB than females and CSB was associated with greater psychiatric comorbidity, particularly impulse control disorders. These findings suggest that individuals with co-occurring OCD and CSB may have more complex treatment needs, and more tailored interventions may be necessary.

Association patterns of cannabis abuse and dependence with risk of problematic non-substance-related dysregulated and addictive behaviors

Co-occurrence of drug misuse with other dysregulated behaviors is common. This study was aimed at exploring the associations between the risk of presenting a clinically relevant condition involving non-substance-related addictive or dysregulated behaviors (as measured by the MultiCAGE CAD-4 screening), and cannabis abuse/dependence (CAST/SDS) scores, and the role of gender therein. Participants were recruited using stratified probabilistic sampling at the University of Granada. Mann-Whitney’s U tests were used to compare male and female students in SDS and CAST scores. Associations between gender and MultiCAGE scores were estimated using the γ ordinal correlation index, and tested with χ². For each MultiCAGE dimension, a Poisson-family mixed-effects model was built with either SDS or CAST as the main input variable, while controlling for nicotine and alcohol dependence, and relevant sociodemographic variables. Incidence rate ratios (IRR) were computed for SDS/CAST effects, and the significance threshold was family-wise Bonferroni-corrected. Gender differences were significant for cannabis dependence/abuse and all MultiCAGE scores for non-substance-related conditions, with males showing higher risk scores for excessive gambling, excessive internet use, excessive video gaming, and hypersexuality, and females presenting higher scores in dysregulated eating and compulsive buying. Cannabis dependence and abuse were significantly associated with a higher risk of problematic video gaming. These associations were mostly driven by males. Importantly, although risk of problematic video gaming was specifically associated with cannabis abuse/dependence, there was only a weak non-significant association between problematic video gaming and alcohol use scores. Risk of alcohol use problems, in turn, was strongly associated with all other non-substance-related problems (problematic gambling, excessive Internet use, dysregulated eating, compulsive buying, and hypersexuality). These differential associations can cast light on the etiological similarities and dissimilarities between problematic substance use and putative addictive behaviors not involving drugs.