{"title":"基于赌博变量和临床赌徒心理健康的聚类分析","authors":"G. Aonso-Diego, L. Macía, M. Montero, A. Estévez","doi":"10.1016/j.addbeh.2024.108092","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>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. <strong>Methods</strong>. A total of 83 participants undergoing treatment for gambling disorder (<em>M</em><sub>age</sub> = 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. <strong>Results</strong>. 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. <strong>Conclusions</strong>. 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.</p></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0306460324001412/pdfft?md5=22dbb2557aad5a3442bdcb032654ec1c&pid=1-s2.0-S0306460324001412-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Cluster analysis based on gambling variables and mental health in a clinical population of gamblers\",\"authors\":\"G. Aonso-Diego, L. Macía, M. Montero, A. Estévez\",\"doi\":\"10.1016/j.addbeh.2024.108092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>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. <strong>Methods</strong>. A total of 83 participants undergoing treatment for gambling disorder (<em>M</em><sub>age</sub> = 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. <strong>Results</strong>. 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. <strong>Conclusions</strong>. 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.</p></div>\",\"PeriodicalId\":7155,\"journal\":{\"name\":\"Addictive behaviors\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0306460324001412/pdfft?md5=22dbb2557aad5a3442bdcb032654ec1c&pid=1-s2.0-S0306460324001412-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Addictive behaviors\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306460324001412\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addictive behaviors","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306460324001412","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
Cluster analysis based on gambling variables and mental health in a clinical population of gamblers
Background
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.
期刊介绍:
Addictive Behaviors is an international peer-reviewed journal publishing high quality human research on addictive behaviors and disorders since 1975. The journal accepts submissions of full-length papers and short communications on substance-related addictions such as the abuse of alcohol, drugs and nicotine, and behavioral addictions involving gambling and technology. We primarily publish behavioral and psychosocial research but our articles span the fields of psychology, sociology, psychiatry, epidemiology, social policy, medicine, pharmacology and neuroscience. While theoretical orientations are diverse, the emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. However, innovative and empirically oriented case studies that might encourage new lines of inquiry are accepted as well. Studies that clearly contribute to current knowledge of etiology, prevention, social policy or treatment are given priority. Scholarly commentaries on topical issues, systematic reviews, and mini reviews are encouraged. We especially welcome multimedia papers that incorporate video or audio components to better display methodology or findings.
Studies can also be submitted to Addictive Behaviors? companion title, the open access journal Addictive Behaviors Reports, which has a particular interest in ''non-traditional'', innovative and empirically-oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research.