Emily Prather Defends Dissertation on Anger and Binge Eating

Emily Prather successfully defended her doctoral dissertation yesterday at the University of Southern Mississippi, Predictors of Binge Eating in College Women. Emily's study evaluated the relationships among four theoretically relevant factors hypothesized to predict subclinical binge eating in a sample of college women: trait anger, anger suppression, impulsivity, and emotion regulation.

Emily started by confirming the four-factor structure of the UPPS Impulsivity Scale (Whiteside & Lynam, 2001) through confirmatory factor analysis. Multiple measures of impulsivity have been used in the literature, and the UPPS is one of the newer ones. Given that there has been some disagreement over the optimal factor structure, it was important to make sure that the four-factor structure of this measure would be confirmed in this sample. After confirming this factor structure, Emily found that the urgency and lack of perseverance factors predicted binge eating. Urgency was a hypothesized predictor, but the utility of perseverance was unexpected and suggests that the role of impulsivity in binge eating may be somewhat broader than previously thought.

Trait anger predicted binge eating over and above general negative affect, suggesting that there seems to be something about one's propensity to experience angry feelings that may be particularly useful in understanding binge eating. The tendency to suppress anger in an unhealthy manner also predicted binge eating, and both anger suppression and emotion regulation partially mediated the relationship between trait anger and binge eating. It appears that anger management and the development of emotion regulation strategies may be worth exploring for college women with subclinical binge eating.

Emily is currently
completing her predoctoral internship at Wellspan Behavioral Health in York, PA. She recently accepted a postdoc position with Wellspan to begin this summer.

Congratulations, Emily!
blog comments powered by Disqus