| Literature DB >> 35966627 |
Flora I Matheson1,2, Parisa Dastoori1, Tara Hahmann1, Julia Woodhall-Melnik3, Sara J T Guilcher1,4, Sarah Hamilton-Wright1.
Abstract
People experiencing poverty/homelessness have higher rates of problematic gambling than the general population. Yet, research on gambling among this population is sparse, notably among women. This study examined prevalence of problematic gambling among women using shelter and drop-in services in Ontario, Canada. The NORC Diagnostic Screen for Disorders was administered to women during visits to 15 sites using time/location methodology. Within a sample of 162 women, the prevalence of at-risk (6.2%), problem (9.3%), and pathological gambling (19.1%) was higher than the general population. Among women who scored at-risk or higher, 55.4% met criteria for pathological gambling. The findings suggest that women seeking shelter and drop-in services are vulnerable to problematic gambling. Creating awareness of this vulnerability within the shelter and drop-in service sector is an important first step to support women with gambling problems who face financial and housing precarity.Entities:
Keywords: Gambling; Homelessness; Poverty; Prevalence; Shelter and drop-in services; Women
Year: 2021 PMID: 35966627 PMCID: PMC9365744 DOI: 10.1007/s11469-021-00524-z
Source DB: PubMed Journal: Int J Ment Health Addict ISSN: 1557-1874 Impact factor: 11.555
NODS categories generated by the scoring algorithm
| Score | Description | Subgroup name |
|---|---|---|
| 0 | Non-problematic levels of gambling | Non-problem gambling |
| 1 or 2 | Mild subclinical risk for gambling problems | At-risk gambling |
| 3 or 4 | Moderate subclinical risk for gambling problems | Problem gambling |
| 5 + | Likely diagnosis of pathological gambling | Pathological gambling |
Lifetime gambling status based on the NODS (n = 162)
| Non-gambling | Non-problem gambling | At-risk gambling | Problem gambling | Pathological gambling | |
|---|---|---|---|---|---|
| Full sample | 30.3 (49) | 35.2 (57) | 6.2 (10) | 9.3 (15) | 19.1 (31) |
| Sub-sample with gambling problems | 17.9 (10) | 26.8 (15) | 55.4 (31) |