Marital status and gambling disorder: a longitudinal study based on national registry data

Disability Benefit and Gambling Disorder: A Longitudinal Study Based on National Registry Data

Rates of gambling disorder (GD) have been found to be higher among people receiving disability benefit, but few studies have investigated whether receiving disability benefit prospectively actually increases the risk of GD. The present study investigated whether those with a disability benefit had an increased risk of developing GD using a case-control design. The study sample was retrieved from the Norwegian Patient Registry (NPR, N = 5,131) and consisted of all adults in Norway (18 years and older) who had received a GD diagnosis (F63.0 according to ICD-10) between 2008 and 2018. The study group was age and sex matched with a random sample from the (1) general population (FD-trygd, n = 30,164), and (2) and individuals with other somatic or psychiatric illnesses (NPR, n = 30,476). The results of logistic regression analysis showed that people receiving disability benefit had higher odds of later being diagnosed with GD compared to the general population (odds ratio [OR] = 2.27, 95% CI [2.02, 2.54]), and compared to individuals in the NPR (OR = 2.13, 95% CI [1.90, 2.38]). Recipients of disability benefit constitute a group who is vulnerable in terms of developing GD. Although the present study found evidence for a prospective association, causality could not be established. The study identified a cohort that may benefit from targeted prevention and intervention strategies regarding gambling behavior.

Who is Getting the Message? Sociodemographic Factors and Gambling Behavior Associated with Awareness of the Swedish National Self-Exclusion Registry Spelpaus.se

Awareness and utilization of health interventions can be influenced by sociodemographic factors. These factors play a role in information processing, particularly regarding health messaging. The aim of this study is to analyze how different sociodemographic factors and gambling behaviors are associated with awareness of a (Swedish) gambling self-exclusion register. The study used data from the Swedish longitudinal gambling study (Swelogs) and analyzed n = 6720 participants from a stratified random sample of the Swedish population aged 18-84 years. Logistic regressions were conducted to analyze associations between sociodemographic characteristics, gambling behavior and awareness. Males with middle (OR = 1.70, 95% CI = 1.32-2.19) and high income (OR = 1.58, 95% CI = 1.19-2.09) and females with high (OR = 1.35, 95% CI = 1.03-1.76) and middle-level education (OR = 1.35, CI = 1.04-1.76), had higher awareness of Spelpaus.se. Online gamblers with problematic gambling behavior were three times (OR = 3.69, 95% CI = 2.15-6.37) more likely to be aware than non-gamblers. Online gamblers born in Sweden were twice (OR = 1.95, 95% CI = 1.19-3.19) as likely to be aware compared to those born outside of Europe. Males with high level of awareness had higher PGSI scores compared to women. Education could increase awareness of potential health risks and opportunities for intervention, particularly among women. Future interventions should be tailored to cater to the specific needs of individuals with lower levels of awareness, to facilitate enhancing their awareness and ultimately promoting a more equitable utilization of self-exclusion measures.

Income and gambling disorder: A longitudinal matched case-control study with registry data from Norway

Background

Untangling the association between gambling disorder (GD) and income is complex. Financial strain is often a consequence of GD. At the same time GD is more prevalent in the context of poverty, suggesting income may be a risk marker for GD.

Aims

The aim of the present study was to investigate whether income is a risk marker for GD and whether the longitudinal average predicted income for patients with GD between 2008 and 2018 compared to control groups. The study also explored the potential heterogeneity in income trajectories for patients with GD and associated characteristics.

Methods

A matched case-control longitudinal study was conducted using two Norwegian registries (i.e., the Norwegian Patient Registry and the Division of Welfare Statistics). A total of 65,771 participants were included, 5131 who were diagnosed with GD (cases), 30,467 diagnosed with any other psychiatric or somatic disorder (control), and 30,164 from the general population (control). Multinomial and ordinary least squares regressions, along with group-based trajectory models were estimated.

Results

Individuals with GD were more likely to have income levels in the bottom quartile of the nationally reported average income in 2008 compared to the general population. However, this was not observed in the psychiatric/somatic group. Both GD and psychiatric/somatic groups were less likely to have average/above average income compared to the general population. Expected income for patients with GD was below national averages between 2008 and 2018, with significant group differences identified. Estimated trajectories for patients with GD resulted in a seven-group model. Males were more likely to have membership in higher income groups, whereas females and younger GD patients were more likely to belong to trajectory groups with the lowest income.

Conclusion

The results suggest income is a risk marker for GD. Heterogeneity present across the income distribution for patients with GD, coupled with identifiable patient characteristics, may help in prediction and screening of GD.