Few studies have focused on the specific subtype of gamblers who present lotteries as their main gambling problem. This study aimed to explore empirical subgroups of treatment-seeking patients who endorsed lotteries as their preferred form of gambling. The sample included n = 342 patients who were included in two-step cluster analysis procedures using sociodemographic and clinical measures as indicator variables. Three clusters were identified: (a) Cluster 1 (labeled as "severely impaired young men", n = 108, 31.6%) included mainly single young men that were employed, with short disorder duration, high gambling severity and high levels of comorbid psychopathology; (b) Cluster 2 (labeled as "moderate severity and highly functional", n = 120, 35.1%) included patients that were middle-aged, highly educated, married, employed, with high socioeconomic position indexes and functional personality traits; and (c) Cluster 3 (labeled as "older, moderately impaired patients", n = 114, 33.3%) included older patients, the highest percentage of separated or divorced subjects, high unemployment, low socioeconomic status and low levels of education. This study indicates that gambling disorder profiles characterized by lotteries as a preferred form of gambling constitute a heterogeneous group in which distinct, empirically based phenotypes can be identified. These factors should be taken into account for the development of reliable assessment instruments and for the design of effective prevention and treatment programs.
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http://dx.doi.org/10.1007/s10899-020-09940-7 | DOI Listing |
Sci Rep
January 2025
Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
Uncertainty lies at the heart of everyday choices, affecting both decisions about precise quantities and those with less tangible, more qualitative, outcomes. Previous literature on decisions under uncertainty focused on alternatives with quantifiable outcomes, for example monetary lotteries. In such scenarios, decision-makers make decisions based on success chance, outcome magnitude, and individual preferences for uncertainty.
View Article and Find Full Text PDFRisk Anal
December 2024
University of Liverpool Management School, University of Liverpool, Liverpool, UK.
Advances in artificial intelligence (AI) are reshaping mobility through autonomous vehicles (AVs), which may introduce risks such as technical malfunctions, cybersecurity threats, and ethical dilemmas in decision-making. Despite these complexities, the influence of consumers' risk preferences on AV acceptance remains poorly understood. This study explores how individuals' risk preferences affect their choices among private AVs (PAVs), shared AVs (SAVs), and private conventional vehicles (PCVs).
View Article and Find Full Text PDFJ Exp Psychol Gen
December 2024
School of Psychology, UNSW Sydney.
Do people change their preferences when they are offered the same risky lotteries at different times (now vs. the future)? Construal level theory (CLT) suggests that people do because our mental representation of events is moderated by how near or distant such events are in time. According to CLT, in the domain of risk preferences, psychological distance causes payoffs and probabilities to be differentially weighted or attended between present and future timepoints: Temporal distance increases the influence of payoffs and decreases the influence of probabilities.
View Article and Find Full Text PDFEcology
November 2024
Department of Statistics and Data Science, Cornell University, Ithaca, New York, USA.
One strand of modern coexistence theory (MCT) partitions invader growth rates (IGR) to quantify how different mechanisms contribute to species coexistence, highlighting fluctuation-dependent mechanisms. A general conclusion from the classical analytic MCT theory is that coexistence mechanisms relying on temporal variation (such as the temporal storage effect) are generally less effective at promoting coexistence than mechanisms relying on spatial or spatiotemporal variation (primarily growth-density covariance). However, the analytic theory assumes continuous population density, and IGRs are calculated for infinitesimally rare invaders that have infinite time to find their preferred habitat and regrow, without ever experiencing intraspecific competition.
View Article and Find Full Text PDFBMJ Open Sport Exerc Med
September 2024
Traumatic Brain Injury Network, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.
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