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Corral , R. Eur Addict Res 1 April ; 19 3 : — Background: The current study aims to identify predictors of pathological gambling PG severity, taking gender differences into account, in an outpatient sample of pathological gamblers seeking treatment. Linear and logistic regression analyses were used to examine different risk factors gender, age, impulsivity, sensation seeking, self-esteem and risk markers depression, anxiety, gambling-related thoughts, substance abuse as predictors of PG severity. Results: Impulsivity, maladjustment in everyday life and age at gambling onset were the best predictors in the overall sample. When gender differences were taken into account, duration of gambling disorder in women and depression and impulsivity in men predicted PG severity. In turn, a high degree of severity in the South Oaks Gambling Screen score was related to older age and more familiy support in women and to low self-esteem and alcohol abuse in men. Female gamblers were older than male gamblers and started gambling later in life, but became dependent on gambling more quickly than men. Sign In or Create an Account. Search Dropdown Menu. Advanced Search. Skip Nav Destination Close navigation menu Article navigation. Volume 19, Issue 3. Article Navigation. Research Articles November 23 This Site. Google Scholar. Corral ; P. Alberich S. Eur Addict Res 19 3 : — Article history Received:. Cite Icon Cite. Abstract Background: The current study aims to identify predictors of pathological gambling PG severity, taking gender differences into account, in an outpatient sample of pathological gamblers seeking treatment. You do not currently have access to this content. View full article. Sign in Don't already have an account? Buy Token. This article is also available for rental through DeepDyve. View Metrics. Email alerts Online First Alert. Latest Issue Alert. Citing articles via Web Of Science CrossRef Karger International S. Karger AG P. Karger AG, Basel. Close Modal.

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