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| Home > Articles > Published articles > Gambling Phenotypes in Older Adults |
(Universitat Autònoma de Barcelona. Departament de Psicobiologia i de Metodologia de les Ciències de la Salut) (Instituto de Salud Carlos III) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Université Laval. Centre d'Excellence pour la Prévention et le Traitement du Jeu) (Université de Nantes) (Université de Nantes) (Hospital Universitari de Bellvitge) (Instituto de Salud Carlos III) (Instituto de Salud Carlos III) (Instituto de Salud Carlos III) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Hospital Universitari de Bellvitge) (Instituto de Salud Carlos III)
| Additional title: | Gambling clustering in older age |
| Date: | 2020 |
| Description: | 26 pàg. |
| Abstract: | Participation in gambling is rising in older adults. Indeed, in the coming years, engagement in gambling as a social activity is expected to increase more sharply in the elderly than in any other age group. Due to their exposure to powerful age-specific risk factors such as isolation, inactivity and failing health, older people are highly vulnerable to gambling-related problems. This study aimed to explore the existence of empirical clusters related to gambling habits in a sample of elderly participants from the general population. The sample included n = 361 participants, age range 50-90 years (mean 73. 8, SD 8. 4). Empirical clusters were identified through a two-step clustering analysis based on a broad set of indicators, including sociodemographic features, psychopathological state, substance use, life events, gambling preferences and scores on screening measures of gambling severity. The prevalence of GD in the study was 1. 4%. Two clusters were identified: (a) cluster 1 (labeled as "low risk of gambling problems", n = 265, 73. 4%), which included the higher proportion of non-gamblers or individuals who engage only in non-strategic gambling, women, widowed, and lower levels of education (no individual into this group met criteria for GD); and (b) cluster 2 (labeled as "higher risk of gambling problems", n = 96, 26. 6%), which included the higher proportion of men, who reported both non-strategic and strategic gambling preferences (all participants diagnosed of GD were grouped into this cluster), older age, longer history of gambling, higher gambling severity, higher use of substances and worse psychopathological state. The elderly constitute a heterogeneous group with regard to gambling phenotypes. The results of this study may prove particularly useful for developing reliable screening tools able to identify older patients at a high risk of gambling problems, and for designing effective prevention and intervention programs. |
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| Language: | Anglès |
| Document: | Article ; recerca ; Versió acceptada per publicar |
| Subject: | Cluster ; Gambling ; Old age ; Age Factors ; Humans ; Middle Aged ; Risk Factors ; Social Support ; Gambling/psychology ; Loneliness/psychology ; Male ; Behavior, Addictive/psychology ; Socioeconomic Factors ; Social Isolation/psychology ; Substance-Related Disorders/psychology ; Aged, 80 and over ; Female ; Aged |
| Published in: | Journal of Gambling Studies, Vol. 36, Núm. 3 (2020) , p. 809-828, ISSN 1573-3602 |
27 p, 541.8 KB |
