Predictors of problem gambling remission in adults: A Canadian longitudinal study.

OBJECTIVE: Remission from problem gambling (PG) continues to be a priority of clinicians and researchers. Data from cross-sectional studies indicate that some correlates are more predictive of PG, and existing longitudinal studies have exclusively examined risk factors that predict emergence of PG. This study's objective is to fill in the remaining pieces of the puzzle by identifying factors that might facilitate remission from PG. METHOD: A stratified sample of 10,199 Canadian adult gamblers were recruited from an online panel. Respondents who screened positively for PG at baseline and completed a follow-up assessment 1 year later (n = 468) were assessed on a series of modifiable gambling, psychosocial, mental health, and substance use variables. A forward stepwise logistic regression was conducted to identify the strongest predictors of remission from PG at follow-up. A Least Absolute Shrinkage and Selection Operator regression was also conducted to confirm the most relevant predictors. RESULTS: Out of 75 candidate variables, 10 were retained by the regression model. Two were related to cessation of specific gambling activities, two were related to gambling motivations, two were psychosocial in nature, two were related to substance use while gambling, and one was related to remission from a mental health disorder. The final and strongest predictor was PG severity at baseline. CONCLUSIONS: Although PG remission predictors were mostly gambling-related, psychosocial aspects may also be targeted by stakeholders aiming to reduce PG. Ceasing to use tobacco while gambling and diversifying leisure activities may be promising targets. Other mental health and substance use predictors may still possibly be relevant, but only for a subset of people with PG. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A meta-analysis of problem gambling risk factors in the general adult population.

BACKGROUND AND AIMS: Few meta-analyses have been conducted to pool the most constant risk factors for problem gambling. The present meta-analysis summarizes effect sizes of the most frequently assessed problem gambling risk factors, ranks them according to effect size strength and identifies any differences in effects across genders. METHOD: A random-effects meta-analysis was conducted on jurisdiction-wide gambling prevalence surveys on the general adult population published until March 2019. One hundred and four studies were eligible for meta-analysis. The number of participants varied depending on the risk factor analyzed, and ranged from 5327 to 273 946 (52% female). Weighted mean odds ratios were calculated for 57 risk factors (socio-demographic, psychosocial, gambling activity and substance use correlates), allowing them to be ranked from largest to smallest with regard to their association with problem gambling. RESULTS: The highest odds ratio (OR) was for internet gambling [OR = 7.59, 95% confidence interval (CI) = 5.24, 10.99, P < 0.000] and the lowest was for employment status (OR = 1.03, 95% CI = 0.87, 1.22, P = 0.718). The largest effect sizes were generally in the gambling activity category and the smallest were in the socio-demographic category. No differences were found across genders for age-associated risk. CONCLUSIONS: A meta-analysis of 104 studies of gambling prevalence indicated that the most frequently assessed problem gambling risk factors with the highest effect sizes are associated with continuous-play format gambling products.

Identifying at-risk profiles and protective factors for problem gambling: A longitudinal study across adolescence and early adulthood.

Past studies have identified various risk and protective factors for problem gambling (PG). However, no study has examined the interplay between these factors using a combination of person-centered and variable-centered approaches embedded within a longitudinal design. The present study aimed to (a) identify distinct profiles in early adolescence based on a set of risk factors commonly associated with PG (impulsivity, depression, anxiety, drug-alcohol use, aggressiveness, and antisociality), (b) explore the difference in reported gambling problems between these profiles during midadolescence and early adulthood, and (c) identify family- and peer-related variables that could operate as protective or compensatory factors in this context. Two samples were used: (a) a population sample (N = 1,033) living in low socioeconomic-status neighborhoods and (b) a population sample (N = 3,017) representative of students attending Quebec schools. Latent profile analyses were conducted to identify at-risk profiles based on individual risk factors measured at age 12 years. Negative binomial regression models were estimated to compare profiles in terms of their reported gambling problems at ages 16 and 23. Finally, family- and peer-related variables measured at age 14 were included to test their protective or compensatory role with respect to the link between at-risk profiles and gambling problems. Four profiles were identified: well-adjusted, internalizing, externalizing, and comorbid. Compared to the well-adjusted profile, the externalizing and comorbid profiles reported more gambling problems at ages 16 and 23, but the internalizing profile did not differ significantly. Various protective and compensatory factors emerged for each profile at both time points. (PsycINFO Database Record

A Longitudinal Empirical Investigation of the Pathways Model of Problem Gambling.

The pathways model of problem gambling suggests the existence of three developmental pathways to problem gambling, each differentiated by a set of predisposing biopsychosocial characteristics: behaviorally conditioned (BC), emotionally vulnerable (EV), and biologically vulnerable (BV) gamblers. This study examined the empirical validity of the Pathways Model among adolescents followed up to early adulthood. A prospective-longitudinal design was used, thus overcoming limitations of past studies that used concurrent or retrospective designs. Two samples were used: (1) a population sample of French-speaking adolescents (N = 1033) living in low socio-economic status (SES) neighborhoods from the Greater Region of Montreal (Quebec, Canada), and (2) a population sample of adolescents (N = 3017), representative of French-speaking students in Quebec. Only participants with at-risk or problem gambling by mid-adolescence or early adulthood were included in the main analysis (n = 180). Latent Profile Analyses were conducted to identify the optimal number of profiles, in accordance with participants' scores on a set of variables prescribed by the Pathways Model and measured during early adolescence: depression, anxiety, impulsivity, hyperactivity, antisocial/aggressive behavior, and drug problems. A four-profile model fit the data best. Three profiles differed from each other in ways consistent with the Pathways Model (i.e., BC, EV, and BV gamblers). A fourth profile emerged, resembling a combination of EV and BV gamblers. Four profiles of at-risk and problem gamblers were identified. Three of these profiles closely resemble those suggested by the Pathways Model.