2017
DOI: 10.4309/jgi.2017.35.3
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Risk factors for pathological gambling along a continuum of severity: Individual and relational variables

Abstract: This study's aim was to identify characteristics with higher odds of distinguishing a group of pathological gamblers (PG) from (1) a group of gamblers without a gambling problem (NP) and 2) a sub-clinical group (SP). An additional aim was to investigate those characteristics as risk/protective factors along the continuum of problemgambling severity. Sociodemographic (gender, age, marital status, and educational level), individual (psychopathological symptoms) and relational (family functioning, dyadic adjustme… Show more

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Cited by 4 publications
(8 citation statements)
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References 46 publications
(39 reference statements)
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“…In the impulsivity, moderate gamblers were higher than non-problem or low risk gamblers. This is consistent with the previous studies [21,22]. Problem gamblers are prone to impulse control disorders [21].…”
Section: Discussionsupporting
confidence: 93%
See 1 more Smart Citation
“…In the impulsivity, moderate gamblers were higher than non-problem or low risk gamblers. This is consistent with the previous studies [21,22]. Problem gamblers are prone to impulse control disorders [21].…”
Section: Discussionsupporting
confidence: 93%
“…The prevalence rates of gambling addiction were 20.5% among male students and 8.6% among female students. There are other studies which identified male students are more serious than female students in a gambling problem [19][20][21][22]. Huang et al identified 4.3% of male students and 0.4% of female students as problem or pathological gamblers in the USA [19].…”
Section: Discussionmentioning
confidence: 99%
“…Our selection of risk factors was informed by recent reviews of the literature [4,8,9,10,20,22,23,24], but was necessarily limited to factors that could be measured by self-report.…”
Section: Methodsmentioning
confidence: 99%
“…A large number of demographic factors have been shown to be predictors of adult gambling problems. Poor academic performance [ 61 ] and lower educational attainment [ 59 , 60 , 68 ] are commonly identified risk factors. Male gender is as another key risk factor, with young men being several times more likely to experience problems than many other age-gender categories [ 58 , 60 , 61 , 63 ].…”
Section: Introductionmentioning
confidence: 99%
“…Poor academic performance [ 61 ] and lower educational attainment [ 59 , 60 , 68 ] are commonly identified risk factors. Male gender is as another key risk factor, with young men being several times more likely to experience problems than many other age-gender categories [ 58 , 60 , 61 , 63 ]. Young women, as well as men, are generally more likely to experience problems [ 59 , 62 , 63 ].…”
Section: Introductionmentioning
confidence: 99%