Cluster analysis based on gambling variables and mental health in a clinical population of gamblers

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dc.contributor.authorAonso Diego, Gema
dc.contributor.authorMacía Guerrero, Laura
dc.contributor.authorMontero Matellanes, Mikel
dc.contributor.authorEstévez Gutiérrez, Ana
dc.date.accessioned2025-03-17T09:04:34Z
dc.date.available2025-03-17T09:04:34Z
dc.date.issued2024-10
dc.date.updated2025-03-17T09:04:34Z
dc.description.abstractBackground: Interest in characterizing individuals involved in addictive behaviors has been growing, which allows tailoring prevention and intervention strategies to the gambler's needs. The study aimed to 1) identify clusters of gamblers according to gambling-related characteristics and mental health; and 2) analyze differences in psychological variables between the clusters. Methods. A total of 83 participants undergoing treatment for gambling disorder (Mage = 45.52, 51.8 % female) completed a set of questionnaires. Hierarchical cluster analysis was performed to classify gambling based on gambling variables (i.e., gambling severity and gambling motives) and mental health (i.e., depression, anxiety, and hostility). Several ANOVAs were conducted to illustrate the distinguishing features of each cluster, encompassing both the variables included in the cluster analysis and other relevant psychological variables. Results. Findings suggest that gamblers can be classified into three clusters based on these variables: 1) “high gambling severity and good mental health,” 2) “high gambling severity and poor mental health,” and 3) “low gambling severity and good mental health.” These clusters were differentiated as a function of psychological variables, such as emotional dependence, alexithymia, and stressful life events. Conclusions. Classifying gamblers according to their profile provides a better understanding of their needs and problems, allowing for a more tailored approach in terms of prevention and intervention strategies.en
dc.identifier.citationAonso-Diego, Macía, Montero, & Estévez. (2024). Cluster analysis based on gambling variables and mental health in a clinical population of gamblers. Addictive Behaviors, 157. https://doi.org/10.1016/J.ADDBEH.2024.108092
dc.identifier.doi10.1016/J.ADDBEH.2024.108092
dc.identifier.eissn1873-6327
dc.identifier.issn0306-4603
dc.identifier.urihttp://hdl.handle.net/20.500.14454/2546
dc.language.isoeng
dc.publisherElsevier Ltd
dc.rights© 2024 The Author(s)
dc.subject.otherClusters
dc.subject.otherGambling
dc.subject.otherMental health
dc.subject.otherMotives
dc.subject.otherSeverity
dc.titleCluster analysis based on gambling variables and mental health in a clinical population of gamblersen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.titleAddictive Behaviors
oaire.citation.volume157
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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