2013
DOI: 10.1037/a0029999
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Genetic overlap between personality and risk for disordered gambling: Evidence from a national community-based Australian twin study.

Abstract: Using data from a large Australian twin sample we examined the extent to which genetic variation in the Big Three personality dimensions (positive emotionality, negative emotionality, and constraint) and their lower-order components explained genetic variation in the risk for disordered gambling (DG) among men and women. Genetic influences contributing to individual differences in normal-range personality traits explained over 40% of the genetic risk for DG, with a larger contribution among women than among me… Show more

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Cited by 23 publications
(18 citation statements)
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“…In fact, a history of childhood ODD appeared to be a better predictor of later gambling involvement and disorder than the age of gambling initiation, and the within-twin effect was consistent with a potentially causal relation. This finding aligns with previous research in which we demonstrated that two components of negative emotionality, alienation and aggression, were the aspects of personality that were the most strongly associated with the genetic risk for disordered gambling (Slutske et al, 2013) and a prospective study linking disordered gambling in adulthood to behavioral observations of being willful, emotionally labile, and negativistic as a three-year-old child (Slutske et al, 2012). The link between childhood ODD and adult gambling behavior clarifies the relation between negative emotionality and disordered gambling in adulthood, suggesting that it may not be completely a consequence of gambling difficulties contributing to negative emotionality.…”
Section: Discussionsupporting
confidence: 92%
“…In fact, a history of childhood ODD appeared to be a better predictor of later gambling involvement and disorder than the age of gambling initiation, and the within-twin effect was consistent with a potentially causal relation. This finding aligns with previous research in which we demonstrated that two components of negative emotionality, alienation and aggression, were the aspects of personality that were the most strongly associated with the genetic risk for disordered gambling (Slutske et al, 2013) and a prospective study linking disordered gambling in adulthood to behavioral observations of being willful, emotionally labile, and negativistic as a three-year-old child (Slutske et al, 2012). The link between childhood ODD and adult gambling behavior clarifies the relation between negative emotionality and disordered gambling in adulthood, suggesting that it may not be completely a consequence of gambling difficulties contributing to negative emotionality.…”
Section: Discussionsupporting
confidence: 92%
“…However, the correlations presented in Table 2 establish that, for the most part, the correlations obtained for the narrower and broader definitions of DG were similar. In a previous paper, we demonstrated that the strength of the associations between continuous personality dimensions and a categorical DG phenotype were comparable whether the cutoff used was 1, 2, 3, 4, or 5 or more symptoms of DSM-IV DG (Slutske et al, 2013), suggesting that results using the 1+ DG symptom cutoff will probably be similar to results that would have been obtained using a higher cutoff.…”
Section: Resultsmentioning
confidence: 72%
“…Known as the gender-as-proxy hypothesis, researchers suggest that while gender uniquely contributes to gambling patterns, gendered explanations often fail to specify the underlying mechanisms for these differences [5153]. For example, researchers have argued that while studies show men to be more at risk of problem gambling, this increased risk is not due to their genetic make-up but more accurately relates to an individual’s demographic, economic and health-related factors [54, 55]. Therefore, exploring the psychosocial factors that are associated with gender are more constructive to understanding gambling behaviour in order to develop effective preventative and treatment approaches [5153].…”
Section: Introductionmentioning
confidence: 99%