Habit Change Addiction - Reinforcement Learning and Addiction: A Digital Mindfulness Solution

App-Based Mindfulness Training Predicts Reductions in Smoking Behavior by Engaging Reinforcement Learning Mechanisms: A Preliminary Naturalistic Single-Arm Study

In this episode, Dr. Jud Brewer and colleagues explore how mindfulness-based smoking cessation tools can target the brain's reinforcement learning mechanisms to disrupt addictive behaviors. The study highlights the use of the "Craving to Quit" app, which combines mindful awareness practices with real-time feedback on cravings and their outcomes. By recalibrating the reward value of smoking through mindfulness, the app achieved significant reductions in smoking frequency among participants. Discover how this research advances our understanding of habit loops and offers scalable, innovative solutions for smoking cessation.

Full Reference:
Taylor, V. A., Smith, R., & Brewer, J. A. (2022). App-based mindfulness training predicts reductions in smoking behavior by engaging reinforcement learning mechanisms: A preliminary naturalistic single-arm study. Sensors, 22(14), 5131. https://doi.org/10.3390/s22145131

Let's connect on Instagram