Reference : Gender differences in gambling preferences and problem gambling: a network-level analysis
Scientific journals : Article
Social & behavioral sciences, psychology : Treatment & clinical psychology
Gender differences in gambling preferences and problem gambling: a network-level analysis
Baggio, Stéphanie []
Gainsbury, Sally M []
Starcevic, Vladan []
Richard, Jean-Baptiste []
Beck, François []
Billieux, Joël mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
International Gambling Studies
Taylor & Francis
Yes (verified by ORBilu)
[en] Network Analysis ; Gambling ; Gender
[en] Most gambling studies have a gender-blind research approach, although a large body of scientific evidence suggests that gambling in females is on the rise and that males and females have different gambling behaviours and experience specific gambling-related harm. This study addressed these gender differences using a network analysis, an innovative approach considering disorders/concepts as dynamic systems of interacting symptoms/items. Data on gambling activities, problem gambling, substance use and mental health were collected in a representative sample of French adult gamblers (n = 8805). The study capitalized on the network analysis directly to compare associations of specific gambling activities with gambling disorder symptoms separately for both genders. The network analysis revealed that problem gambling was strongly associated
with gambling machines among females, whereas it was related to sports betting, poker and casino games among males. The networks that included substance use and mental health showed that substance use was related to specific gambling activities. These findings confirm the links between various gender specific gambling patterns and problem gambling and suggest a need to consider these gender differences to improve prevention efforts. More broadly, the present study further supports the importance of gender differences for gambling research and policy.

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