Relating Compulsivity and Impulsivity With Severity of Behavioral Addictions: A Dynamic Interpretation of Large-Scale Cross-Sectional Findings

Demetrovics, Zsolt; Brink, Wim van den; Paksi, Borbála; Horváth, Zsolt; Maráz, Anikó

doi:10.3389/fpsyt.2022.831992

Cited by 14 publications

(10 citation statements)

References 103 publications

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“…The NA results reported that withdrawal criterion ("Restless or irritable when attempting to cut down or stop gambling") had the highest centrality values, regardless of sex. This result confirms our initial hypothesis about withdrawal being closely related to the course and severity of the addictive process [31], and fits with previous literature that emphasised the relevance of withdrawal to the severity of the GD [17,18,[32][33][34]. This might indicate that the gambling addiction process could be driven by compulsive motives with the aim of avoiding the discomfort associated with not gambling (negative reinforcement) [27][28][29], and suggest that, if the patient reports withdrawal, they may be more likely to also present with other GD criteria and, following the definition of the DSM-5, present greater severity of the disorder.…”

Section: Discussionsupporting

confidence: 90%

“…Therefore, the GD criteria associated with the promotion of the addictive process through negative reinforcement, such as withdrawal, may be directly related to the course and severity of the addictive process [31]. Moreover, several studies suggested that withdrawal would be one of the symptoms most closely related to the severity of GD [17,18,[32][33][34].…”

Section: Introductionmentioning

confidence: 99%

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Network analysis of DSM-5 criteria for gambling disorder: considering sex differences in a large clinical sample

Lucas,

Mora-Maltas,

Granero

et al. 2024

Eur. Psychiatr.

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Background:The fifth version of the Diagnostic and Statistical Manual for Mental Disorders and its revised version (DSM-5-TR) propose severity levels for gambling disorder (GD) based on the number of criteria met. However, this taxonomy presents some limitations. We aimed to assess the centrality of each criterion and their relationship by conducting a network analysis while considering sex differences. Methods: We performed a network analysis with the DSM-5 criteria for GD with data from 4,203 treatment-seeking patients (3,836 men and 367 women) diagnosed with GD who sought for treatment in a general tertiary hospital which has a unit specialized in behavioural addictions. Results:The withdrawal criterion ("Restless or irritable when attempting to cut down or stop gambling") showed the highest centrality values in both sexes. In men, the second most central criterion was the tolerance criterion ("Needs to gamble with increasing amounts of money in order to achieve the desired excitement"); while among women, the second was the chasing losses criterion ("After losing money gambling, often returns another day to get even"). Conclusions: The most central criteria identified are associated with compulsivity-driven behaviours of the addictive process. Taking into account the high relevance and transitive capacity of withdrawal in both men and women, as well as tolerance in men and chasing losses in women, the recognition and understanding of these symptoms are fundamental for the accurate diagnosis and severity assessment of GD.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Network analysis of DSM-5 criteria for gambling disorder: considering sex differences in a large clinical sample

Lucas,

Mora-Maltas,

Granero

et al. 2024

Eur. Psychiatr.

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“…Therefore, the network approach can generate hypotheses regarding symptoms that play important roles in the development or progression of mental disorders (Contreras et al, 2019 ; Fried et al, 2017 ). The assumption of causally related symptoms can complement theoretical models of addictive disorders, which describe the step-by-step and cyclical progression and maintenance of addictive behaviors (for review, see Demetrovics et al, 2022 ; Perales et al, 2020 ). For example, a problem gambler might first experience the symptom of impaired control over use which might subsequently lead to heightened preoccupation and tolerance to the gambling behavior, which can further contribute to the development of withdrawal symptoms in addition to problems in social functioning and financial status (Demetrovics et al, 2022 ; Perales et al, 2020 ; Rhemtulla et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

The Predictive Role of Tolerance and Health Problems in Problem Gambling: A Cross-Sectional and Cross-Lagged Network Analyses

et al. 2023

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The existing symptomatic networks of problem gambling are all based on cross-sectional data. Thus, there is a need to explore longitudinal symptom networks of problem gambling. Moreover, the replicability of cross-sectional symptom networks can be limited; therefore, further research should assess the convergence between cross-sectional networks of problem gambling symptoms. The present study aimed (i) to examine cross-sectional networks of problem gambling symptoms and evaluate their replicability and (ii) to examine a longitudinal cross-lagged network of problem gambling symptoms. The study included a representative sample of young adult gamblers (born between 1984 and 2000) from the first two waves of the Budapest Longitudinal Study (original sample: N = 2777; final sample: N = 335). The Problem Gambling Severity Index was used to assess symptoms of problem gambling. Cross-sectional symptom networks showed differences in the centrality of nodes. Correlations between the two cross-sectional networks were low in the presence vs. absence of edges, rank order of edge weights, and centrality estimates. However, network invariance tests indicated non-significant differences between them. The cross-lagged network revealed that the symptoms of tolerance and health problems could predict the subsequent presence of multiple problem gambling symptoms. Overall, limited evidence demonstrated the replicability of cross-sectional symptom networks of problem gambling. Future research needs to explore the utility of cross-sectional networks of problem gambling and assess more precisely causal relationships between problem gambling symptoms by distinguishing within- and between-subject effects.

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“…Studies on workaholism have found prevalences ranging from 1.5% (Demetrovics et al, 2022) to 44.9% (Azevedo and Mathias, 2017). The differences in reported prevalences are wide and in this subsection, we will present several studies that report varying rates of workaholism.…”

Section: The Prevalence Of Workaholismmentioning

confidence: 96%

The prevalence of workaholism: a systematic review and meta-analysis

Andersen,

Djugum,

Sjåstad

et al. 2023

Front. Psychol.

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The present study represents the first meta-analysis and systematic review on the prevalence of workaholism. It also investigated if sample size, representativeness, and instrument moderated the prevalence estimates. The analysis was pre-registered at PROSPERO (CRD42023395794). We searched Web of Science, PubMed, CINAHL, Embase, PsychInfo. BASE, MedNar, NYAM, OPENGREY, OpenMD and included the first 200 searches on Google scholar as gray literature [search string: “(workaholi* OR “work addict*”) AND (prevalence* OR incident* OR frequen* OR cut-off OR epidem*)]. The search yielded 42 studies to be included, in addition to 11 studies identified using other methods. Two independent raters went through the searches, extracted information and evaluated risk of bias, resulting in agreement ratings of 92.4%, 84.9%, and 87.0%, respectively. The inclusion criteria were studies reporting original data on the prevalence of workaholism written in any European language. Criteria which led to exclusion were conference abstracts, usage of secondary data, purposive sampling of workaholics, qualitative research and pre-determined cut-off based on distribution. Risk of bias of the included articles was evaluated through a checklist. Most of the included studies had a moderate risk of bias. Of the 663 records identified, a total of 53 studies were included, 10 of these being nationally representative with all studies in total amounting to 71,625 participants from 23 countries. The pooled workaholism prevalence was 15.2% (95% CI = 12.4–18.5), which was adjusted to 14.1% (95% CI = 11.2–17.6) following a trim-and-fill adjustment for publication bias. The meta-regression revealed that studies with representative samples reported lower prevalences than those based on non-representative samples, and that studies based on the Dutch Work Addiction Scale yielded higher prevalences than studies employing the Bergen Work Addiction Scale. The regression model explained 29% of the variance implying that a vast amount was still unexplained, and that future research would benefit from the inclusion of other moderators.

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Relating Compulsivity and Impulsivity With Severity of Behavioral Addictions: A Dynamic Interpretation of Large-Scale Cross-Sectional Findings

Cited by 14 publications

References 103 publications

Network analysis of DSM-5 criteria for gambling disorder: considering sex differences in a large clinical sample

Network analysis of DSM-5 criteria for gambling disorder: considering sex differences in a large clinical sample

The Predictive Role of Tolerance and Health Problems in Problem Gambling: A Cross-Sectional and Cross-Lagged Network Analyses

The prevalence of workaholism: a systematic review and meta-analysis

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