| Literature DB >> 27111699 |
Gustavo C Medeiros1, Eric W Leppink2, Sarah A Redden2, Ana Yaemi1, Mirella Mariani1, Hermano Tavares1, Jon E Grant2.
Abstract
OBJECTIVE: To perform a cross-cultural comparison of gambling disorder (GD) in women from Brazil and the United States, two countries with pronounced social and cultural differences. We hoped to produce insight into the impact of cultural influences on the presentation of GD in women, which may be useful for the development of culturally-sensitive interventions.Entities:
Mesh:
Year: 2016 PMID: 27111699 PMCID: PMC7115477 DOI: 10.1590/1516-4446-2015-1718
Source DB: PubMed Journal: Braz J Psychiatry ISSN: 1516-4446 Impact factor: 2.697
Comparison between women with gambling disorder (GD) in Brazil and in the United States
| Variable | Brazil n=406 | U.S. n=275 | Coefficient | p-value |
|---|---|---|---|---|
| Demographics | ||||
| Age | 47.3±11.0 | 49.0±11.0 |
| 0.022 |
| Race | ||||
| Caucasian | 297 (73.2) | 251 (91.3) | χ2 = 34.252 | < 0.001 |
| Non-Caucasian | 109 (26.8) | 24 (8.7) | ||
| Educational level | ||||
| High school or less | 243 (59.9) | 122 (44.4) | χ2 = 15.814 | < 0.001 |
| More than high school | 163 (40.1) | 153 (55.6) | ||
| Marital status | ||||
| With partner | 223 (54.9) | 119 (43.3) | χ2 = 8.906 | 0.003 |
| Without partner | 183 (45.1) | 156 (56.7) | ||
| Clinical variables | ||||
| Age at onset of recreational gambling (n=665) | 36.8±12.1 | 30.7±12.1 |
| < 0.001 |
| Age at onset of GD (n=661) | 42.9±10.8 | 38.8±11.2 |
| < 0.001 |
| Lag between onset of recreational gambling and GD (n=256) | 6.0±8.1 | 8.3±9.4 |
| 0.015 |
| GD severity | 7.5±1.2 | 7.3±1.3 |
| 0.139 |
| Illegal acts due to gambling (n=545) | 170 (43.0) | 65 (43.3) | χ2 = 0.004 | 0.950 |
| Urges to gamble (n=225) | 6.6±4.3 | 11.6±2.4 |
| < 0.001 |
| Chasing (n=630) | 352 (89.1) | 188 (80.0) | χ2 = 9.995 | 0.002 |
| Electronic gaming machine (n=643) | 320 (80.8) | 198 (80.2) | χ2 = 0.041 | 0.840 |
| Cards (n=643) | 23 (5.8) | 57 (23.1) | χ2 = 41.642 | < 0.001 |
| Bingo (n=643) | 76 (19.2) | 14 (5.7) | χ2 = 23.112 | < 0.001 |
| Lottery (n=643) | 19 (4.8) | 19 (7.7) | χ2 = 2.292 | 0.130 |
| Videopoker (n=643) | 17 (4.3) | 11 (4.5) | χ2 = .009 | 0.923 |
| Pulltabs (n=643) | 4 (1.0) | 11 (4.5) | χ2 = 7.916 | 0.007 |
| Animal game (n=643) | 11 (2.8) | 0 (0.0) | χ2 = 6.981 | 0.009 |
| Sports/tracks (n=643) | 14 (3.5) | 2 (0.8) | χ2 = 4.657 | 0.036 |
| Alcohol use disorders | 9 (2.2) | 26 (9.5) | χ2 = 17.616 | 0.001 |
| Substance use disorders | 6 (1.5) | 22 (8.0) | χ2 = 17.690 | 0.001 |
| Major depressive disorder | 150 (36.9) | 67 (24.4) | χ2 = 11.955 | 0.001 |
| Any anxiety disorder | 55 (13.6) | 35 (12.7) | χ2 = 0.104 | 0.747 |
Data presented as mean ± standard deviation or n (%).
GD = gambling disorder; n = total sample for this variable; SD = standard deviation.
GD severity was assessed by the total number of criteria endorsed according to DSM-5.
Lifetime prevalence.
Fisher’s exact test was used due to the small cell size.
Figure 1Levels of GD severity in women with GD from Brazil and the United States. GD = gambling disorder. *Gambling disorder severity was determined using DSM-5 criteria: mild = four or five criteria were met; moderate = six or seven criteria were met; severe = eight or nine criteria were met.