The Role of Aging, Time Perspective, and Gambling-Related Cognitions in Affective Decision-Making

Several studies have examined age differences in affective decision-making utilizing the Iowa Gambling Task (IGT). However, findings are mixed, with some studies reporting impairments due to aging and others showing no age-related differences. The few studies that have explored personality correlates of IGT performance suggest that underlying personality characteristics may impact performance on the IGT beyond aging. Therefore, the present study investigated the interplay between chronological age, temporal perspective, and gambling-related cognitions in affective decision-making while controlling for gambling severity. Through snowball sampling, 302 adults aged 18-75 years were recruited. They administered the South Oaks Gambling Screen (SOGS), Consideration of Future Consequences scale (CFC-14), Gambling-Related Cognitions Scale (GRCS), and IGT. Regression analysis showed that future orientation and gambling-related cognitions (namely gambling expectancies, illusion of control, and predictive control) predicted IGT performance. Gender, age, education, and gambling severity were not included in the final model. Path analysis showed that gambling expectancies positively impacted the performance, whereas illusion of control and predictive control were detrimental to decision-making. Being oriented toward the future mitigated the negative effects of the two cognitive biases on IGT performance. The present study shows that aging does not affect negatively IGT performance. The quality of performance appears to depend upon individual characteristics, such as future orientation and gambling-related cognitions, irrespective of gambling severity. These findings suggest that individual characteristics should be considered in the clinical evaluation of IGT performance.

Automated summary

Through snowball sampling, this study found that temporal perspective, gambling-related cognitions, and future orientation can predict decision-making performance in affective decision-making. These findings suggest that individual characteristics should be considered in the clinical evaluation of decision-making performance.