TY - JOUR
T1 - Gambling Phenotypes in Older Adults
AU - Granero, Roser
AU - Jiménez-Murcia, Susana
AU - Pino-Gutiérrez, Amparo del
AU - Mena-Moreno, Teresa
AU - Mestre-Bach, Gemma
AU - Gómez-Peña, Mónica
AU - Moragas, Laura
AU - Aymamí, Neus
AU - Giroux, Isabelle
AU - Grall-Bronnec, Marie
AU - Sauvaget, Anne
AU - Codina, Ester
AU - Vintró-Alcaraz, Cristina
AU - Lozano-Madrid, María
AU - Camozzi, Marco
AU - Agüera, Zaida
AU - Martín-Romera, Virginia
AU - Sánchez-González, Jéssica
AU - Casalé, Gemma
AU - Sánchez, Isabel
AU - López-González, Hibai
AU - Munguía, Lucero
AU - Valenciano-Mendoza, Eduardo
AU - Mora, Bernat
AU - Baenas-Soto, Isabel
AU - Menchón, José M.
AU - Fernández-Aranda, Fernando
PY - 2020/9/11
Y1 - 2020/9/11
N2 - 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.
AB - 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.
KW - Cluster
KW - Gambling
KW - Old age
KW - Age Factors
KW - Humans
KW - Middle Aged
KW - Risk Factors
KW - Social Support
KW - Gambling/psychology
KW - Loneliness/psychology
KW - Male
KW - Behavior, Addictive/psychology
KW - Socioeconomic Factors
KW - Social Isolation/psychology
KW - Substance-Related Disorders/psychology
KW - Aged, 80 and over
KW - Female
KW - Aged
UR - https://www.scopus.com/pages/publications/85076438279
UR - https://www.mendeley.com/catalogue/bef54a44-a7cd-3946-b003-afbd59fed9f5/
U2 - 10.1007/s10899-019-09922-4
DO - 10.1007/s10899-019-09922-4
M3 - Article
C2 - 31828697
SN - 1050-5350
VL - 36
SP - 809
EP - 828
JO - Journal of Gambling Studies
JF - Journal of Gambling Studies
IS - 3
ER -