Episode description

Awareness Drives Changes in Reward Value Which Predict Eating Behavior Change: Probing Reinforcement Learning Using Experience Sampling from Mobile Mindfulness Training for Maladaptive Eating

In this episode, Dr. Jud Brewer and colleagues explore how mindfulness-based interventions can reshape maladaptive eating behaviors through changes in reward value. Leveraging reinforcement learning theory, the study uses an app-based mindful eating tool to reveal how awareness reduces the reward value of craving-related eating. With real-world experience sampling, the findings demonstrate that mindful attention to eating behaviors leads to a recalibration of reward expectations, significantly predicting reductions in food intake and emotional eating. Discover how these insights pave the way for new, scalable strategies to address obesity and maladaptive eating patterns.

Full Reference:
Taylor, V. A., Moseley, I., Sun, S., Smith, R., Roy, A., Ludwig, V. U., & Brewer, J. A. (2021). Awareness drives changes in reward value which predict eating behavior change: Probing reinforcement learning using experience sampling from mobile mindfulness training for maladaptive eating. Journal of Behavioral Addictions. https://doi.org/10.1556/2006.2021.00020

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