Most epidemiological surveys focus on adult gambling behaviors related to traditional gambling forms, while studies on novel forms often focus on loot boxes and cryptocurrency trading individually. This study examines the co-ocurrence of emergent gambling and gambling-like practices, analyzing the demographic and psychological characteristics of involved gamblers. A cross-sectional study surveyed 1429 Spanish individuals aged 18-65, using a web-based questionnaire. The survey assessed participation in 19 gambling (e.g., lotteries, sports betting) and gambling-like activities (e.g., trading of cryptocurrencies and other assets, buying loot-boxes), along with sociodemographic and substance use. Problem gambling (PGSI), Impulsivity (UPPS-P), and cognitive distortions (Labrador's cognitive distortions scale) were also assessed. Participants who gambled over the past year (n = 921) were classified into four groups: traditional gambling (TG) only (64.5%, n = 594), TG with trading activities (27.5%, n = 253), TG with gambling withing video games or streaming platforms (2.5%, n = 23), and TG with both trading and video gambling (5.5%, n = 51). Most gamblers engaged exclusively in traditional formats, but 35.5% also participated in novel gambling forms. Those involved in both trading and video gambling were generally younger, male, with higher levels of impulsivity and gambling-related cognitive distortions compared to TG-only gamblers (p < 0.001). This group also exhibited higher rates of problem gambling and substance use (p < 0.001). This study emphasize the importance of including emerging gambling activities, which are particularly prevalent among high-risk gamblers, in epidemiological surveys. Identifying new gambling patterns and associated risk factors could help optimize public policies and develop more effective regulatory and prevention strategies.
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http://dx.doi.org/10.1007/s10899-024-10361-z | DOI Listing |
Netw Neurosci
December 2024
Department of Cognition, Development and Education Psychology, University of Barcelona, Barcelona, Spain.
Memories are thought to use coding schemes that dynamically adjust their representational structure to maximize both persistence and efficiency. However, the nature of these coding scheme adjustments and their impact on the temporal evolution of memory after initial encoding is unclear. Here, we introduce the Segregation-to-Integration Transformation (SIT) model, a network formalization that offers a unified account of how the representational structure of a memory is transformed over time.
View Article and Find Full Text PDFVision Res
December 2024
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Brain and Cognitive Science, Beijing 100101, China.
Visual adaptation to thin or large bodies was found to shift the subjective body normality towards the adapting body shape. Here we investigated the persistency of such adaptation effect by tracking the timecourse of decay of short-term body size adaptation in young healthy Chinese women. Participants adapted to contracted or expanded body images of unfamiliar female volunteers with a top-up paradigm.
View Article and Find Full Text PDFJ Family Med Prim Care
November 2024
Department of Anesthesiology, All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, India.
Ableism, akin to other forms of discrimination such as sexism and racism, is increasingly recognized as a pervasive societal concern directed towards individuals with disabilities. This scholarly inquiry delineates the operational definition, manifestations, and ramifications of ableism, with a specific focus on its manifestations within healthcare settings. It underscores the critical need for targeted interventions aimed at mitigating biases among healthcare professionals and promoting inclusivity within healthcare delivery systems.
View Article and Find Full Text PDFJ Neural Eng
December 2024
University of California San Francisco, 513 Parnassus Avenue, S362, SAN FRANCISCO, San Francisco, 94143, CHINA.
Objective: Electroencephalography (EEG) and Magnetoencephalography (MEG) are widely used non-invasive techniques in clinical and cognitive neuroscience. However, low spatial resolution measurements, partial brain coverage by some sensor arrays, as well as noisy sensors could result in distorted sensor topographies resulting in inaccurate reconstructions of underlying brain dynamics. Solving these problems has been a challenging task, This paper proposes a robust framework based on electromagnetic source imaging for interpolation of unknown or poor quality EEG/MEG measurements.
View Article and Find Full Text PDFTop Cogn Sci
December 2024
Department of Linguistics, University of Massachusetts Amherst.
As they process complex linguistic input, language comprehenders must maintain a mapping between lexical items (e.g., morphemes) and their syntactic position in the sentence.
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