ABSTRACT
Introduction: Gambling can cause negative consequences affecting finances, work/study, physical and mental health, relationships, law abidingness, and the community. Although existing measures enable investigations of gambling harms, there is still a need for a brief measure covering the full range of gambling related harms. Methods: We validated a 7-item domain-general harm scale (DGHS-7) using data from a cross-sectional survey of United Kingdom residents reporting gambling within the last 12 months (n = 2558, 62.4% women, mean age 40.1 years (SD = 12.5)). The DGHS-7 was investigated in terms of factor structure, measurement invariance, and convergent validity with a comprehensive 72-item checklist of gambling harm, the Short Gambling Harms Screen (SGHS), and the Problem Gambling Severity Index (PGSI). Discriminative validity was checked against the Personal Wellbeing Index (PWI). Internal consistency was also calculated. Results: Confirmatory factor analysis supported a one-factor solution (χ2 = 136.991, df = 14, χ2/df = 9.785, p <.001, CFI = 0.999, RMSEA = 0.059, 90% CI [0.050, 0.068]). Measurement invariance was supported for gender and binary categorization of age and income (ΔCFI = 0.001). The DGHS-7 correlated strongly with the 72-item checklist (rs = 0.824), the SGHS (rs = 0.793), the PGSI (rs = 0.768), and moderately with the PWI (rs = -0.303). Cronbach's alpha = 0.91 and ordinal alpha = 0.96 indicated good internal consistency. Conclusions: Psychometric support was found for a brief measure covering all recognized domains of gambling harm. The DGHS-7 is useful for researchers needing a generic and short measure for epidemiological and other studies calling for short scales.
ABSTRACT
Background: No studies have so far synthesised the current evidence concerning a possible relationship between problem gaming and suicidality. We therefore conducted a systematic review of the literature. Our objective was to investigate the relationship between problem gaming and suicidality. The review was funded by the Norwegian Competence Center for Gambling and Gaming Research. Methods: The review was pre-registered in PROSPERO International prospective register of systematic reviews (CRD42021279774). Searches were conducted in Web of Science, PsycINFO, EMBASE, PubMed and Google Scholar, September 2021. Studies that reported data on the relationship between problem gaming and suicidality, published between 2000 and 2021, and written in any European language were included. Studies investigating internet addiction/problematic internet use and not problem gaming, specifically, and studies investigating mental health in general or mental health outcomes other than suicidality, were excluded. Data from the included studies were extracted independently by two coders who also evaluated for risk of bias using the Newcastle-Ottawa Quality Assessment Scale. The results from each included study were presented in a table. Results: A total of 12 cross-sectional studies, with in total 88,732 participants, were included in the review. In total 10 studies investigated the association between problem gaming and suicidal ideation. One of these also investigated the association between problem gaming and suicide attempts. Two studies combined suicidal ideation and suicide attempts into one variable and investigated the association between that variable and problem gaming. In total 11 of the 12 included studies found positive, crude associations between problem gaming and suicidal ideation/attempts. Five studies adjusted for possible confounding variables. Three of these still found significant associations between problem gaming and suicidal ideation, one found a positive but not statistically significant association, and the fifth found an inverse, non-significant association. Discussion: The current findings indicate that there is an association between problem gaming and suicidal ideation, and likely between problem gaming and suicide attempts. The most important limitation of the included studies is the lack of longitudinal designs. Future studies should aim to investigate the causality and mechanisms in the relationships using more stringent designs.
ABSTRACT
Problematic gaming has been linked to poor sleep outcomes; however, these associations have not yet been synthesized quantitatively. This review employed a meta-analysis to investigate the relationship between problematic gaming and sleep-related outcomes. A search of Medline, Embase, Web of Science, PsycINFO, and Google Scholar identified a total of 763 studies, including 34 studies (n = 51,901 participants) eligible for inclusion. Papers were included if available in any European language, addressed problematic gaming, contained original data, and provided sufficient data for calculation of effect sizes. Two researchers independently extracted data using pre-defined fields including quality assessment. Sleep-related outcomes were meta-analyzed for sleep parameters that were reported by 5 or more papers. Significant overall effects were found for sleep duration (g = -0.238, 95% CI = -0.364, -0.112), poor sleep quality (OR = 2.02, 95% CI = 1.47, 2.78), daytime sleepiness (OR = 1.57, 95% CI = 1.00, 2.46) and sleep problems (OR = 2.60, 95% CI = 1.94, 3.47). Between-study heterogeneity was detected for all meta-analyses. Subgroup analyses showed a higher inverse effect size for adolescent samples compared to adult or non-specific age samples in terms of sleep duration. For daytime sleepiness, a larger effect size was found for studies based on single-item sleep measures compared to multi-item sleep measures. For sleep problems, the subgroup analysis showed the opposite with a higher effect size for studies based on single-item sleep measures than multi-item sleep measures. Across all sleep parameters, problematic gamers consistently reported a more adverse sleep status than non-problematic gamers. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/; record ID: CRD42020158955.
ABSTRACT
The current paper aims to investigate if Tinder use predicts romantic relationship formation 1 year later and to identify demographic, personality, mental health, and substance use covariates in the relationship between Tinder use and romantic relationship formation. Data were collected by online surveys (two waves) among students in Bergen, Norway. The first survey was administered during fall 2015 (T1). The follow-up took place 1 year later (fall 2016, T2). The sample consisted of the 5253 participants who reported to be single at T1. The surveys included questions about Tinder use, demographics, personality (the Five-Factor Model's personality traits), mental health (i.e., symptoms of depression and anxiety), alcohol use, and use of illegal substances. Bivariate comparisons were conducted to assess differences in demographics, personality traits, mental health, and substance use between Tinder users and non-Tinder users. Further, crude and adjusted binary logistic regressions were employed to investigate if Tinder use at T1 predicted romantic relationship formation at T2, when controlling for relevant covariates. Tinder users differed from non-users on almost all included variables. Compared to non-users, Tinder users were younger and more likely to be men, born in Norway, childless, and non-religious. Tinder users had higher scores on extroversion and agreeableness and lower scores on openness compared to non-users. Further, compared to non-users, Tinder users reported more symptoms of anxiety and were more likely to have hazardous, harmful, or dependent alcohol use and to report use of illegal substances. Compared to non-users, Tinder users had a higher likelihood of having formed a romantic relationship at T2 in the crude model (p < 0.05) and when controlling for demographic (p < 0.05) and mental health (p < 0.05) covariates. However, when controlling for personality, substance use, and all included covariates, the difference in likelihood of romantic relationship formation was no longer significant. In conclusion, the current results suggest that Tinder users have a higher likelihood of forming romantic relationship longitudinally, but that this increased likelihood can be explained by Tinder users' personality and substance use characteristics.
