Objective: Previous cross-sectional research has shown that depression and problem gambling co-occur. Longitudinal research, however, allows for a better determination of directionality, as behavioural changes in gambling involvement can be more reliably studied over time. Our study assesses symptoms of depression and problem gambling across 4 waves and addresses whether their relation is directional (with one reliably preceding the other), bidirectional, or pathoplastic.
Method: As part of the Manitoba Longitudinal Study of Young Adults, prospective data were collected on Canadian young adults' (Wave 1: n = 679, 51.8% female, aged 18 to 20 years) depressive symptoms, involvement in gambling, and risky gambling behaviour. Recruitment and the first cycle of data collection (Wave 1) took place in fall 2007. Three additional waves of data collection then occurred in 12- to 18-month intervals: fall 2008, spring 2010, and spring 2011. The Problem Gambling Severity Index and the Composite International Diagnostic Interview-Short Form were administered through telephone interview at each wave.
Results: Bivariate growth curves showed that depressive and problem gambling symptoms were positively correlated at Wave 1, Wave 2, and Wave 4. Neither disorder was found to be a risk factor for the other, and depression and problem gambling were not pathoplastically related (that is, increases in one did not result in increases in the other over time, and vice versa).
Conclusions: While depression and problem gambling are related, their co-occurrence may be better explained not by depressive- or gambling-related risk, but by the presence of a common underlying factor (such as substance abuse).
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http://dx.doi.org/10.1177/0706743715625934 | DOI Listing |
J Gambl Stud
December 2024
Department of Geography, Faculty of Science, Palacký University Olomouc, Olomouc, Czech Republic.
Gambling encompasses a wide variety of activities, and the structural characteristics of each form contribute to its potential risk. However, the literature does not fully agree on the risk levels of certain gambling forms. In this study, we classify less risky gambling forms (soft forms) based on public perceptions of their riskiness.
View Article and Find Full Text PDFEur Child Adolesc Psychiatry
December 2024
State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
Online social interactions increase into adolescence. Although cross-sectional studies have positively associated online social activity (OSA) time and attention-deficit/hyperactivity disorder (ADHD) problems, the directionality remains unclear. Therefore, we examined longitudinal associations between OSA time and ADHD problems using data from the Adolescent Brain Cognitive Development (ABCD) study.
View Article and Find Full Text PDFAddict Behav Rep
December 2024
School of Social Work, University of Maryland, Baltimore, United States.
Objective: The Gambling Motives Questionnaire-Financial (GMQ-F) measures four gambling motives and these overlapping constructs may be distinct but also represent an overall gambling motivation. Thus, this study examined the scale's factor structure by testing multiple-factor model configurations and then analyzing the association between these constructs and a problem gambling assessment.
Methods: Data from a lottery loyalty program in a Midwestern state in the United States were analyzed ( = 6847).
Addict Behav
December 2024
School of Psychology, Deakin University, Burwood, Victoria 3125, Australia. Electronic address:
Background: Relationships between gambling motives and problem gambling have been identified in previous research. There is, however, evidence of moderate-to-high heterogeneity in these associations, suggesting that further research is required to elucidate which gamblers are more susceptible to the influence of different types of motives. This study aims to (1) explore the relationship between gambling motives (Gambling Motives Questionnaire-Financial coping, enhancement, social, financial) and problem gambling (Problem Gambling Severity Index); and (2) investigate the degree to which psychological variables implicated by the pathways model (positive reinforcement high-risk situations, negative reinforcement high-risk situations, psychological distress, emotional dysregulation, distress intolerance and impulsivity) moderate these relationships.
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