Affective Science

Affective Science and Smoking Cessation

Real Time World Assessment

This project is designed to create a more detailed and comprehensive conceptual model of the role of distinct emotions in self-regulation, as well as the technical, empirical, and analytic foundation necessary to develop effective interventions for smoking cessation and other cancer risk behaviors that can target real time, real world mechanisms.

Grant/Award: NIH-1R01CA224537
Lead PI: Dr. Cho Lam, University of Utah

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Examination of associations between psychological affect, context, self-regulatory capacity, and smoking lapse among smokers attempting to quit.

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