PhD Candidate Justine Campbell will give her Phd review seminar on :
"Intergeneration of alcohol use behavior: the role of parent and offspring cognitions"
A family history of alcoholism has shown to be one of the greatest consistent risk factors in the intergenerational transference of alcohol problems. Whereas a large number of studies have attempted to identify the processes responsible for this interfamilial transfer, the mechanisms remain unclear. Recently, cognitive theories have suggested that the observation of parental drinking habits contributes to the child’s beliefs and expectations of alcohol’s effects. As such, a hypothesised cognitive model was proposed suggesting that the mechanism for the transference of particular drinking styles from parent to offspring may be further explained by the transference of alcohol cognitions, in particular, Alcohol Expectancies and Drinking Refusal Self-Efficacy. Study 1 tested this proposed model and its separate components resulting in three models being examined: The Full Cognitive Model, The Cognitive Model, and The Behavioural Model, however more superior goodness-of-fit indices resulted in a fourth Alternative Cognitive Model being tested and retained. Results suggested that cognitions are not a direct means by which parental drinking behaviour is transferred to their offspring however the combination of both parental cognitive and behavioural variables impacted on their children’s alcohol cognitions. Study 2 then examined the impact of parent and child gender on the transference of these cognitions and whether same or cross gender specificity occurs. Significant pathways showed that parental factors influenced sons’ and daughters’ alcohol use behaviour in opposing ways, whereas specific parent-child dyad comparisons revealed a same gender effect whereby fathers alcohol use behaviour had a greater impact on sons’ cognitions, and mothers’ behaviour was associated with their daughters alcohol beliefs. Further research examining the role of family dysfunction and long term model stability will be discussed.