Challenging Negative Thoughts

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Most people can have negative thoughts from time to time. They may talk negatively to themselves when they receive criticism or when something stressful happens. Having the ability to challenge negative thoughts can help clients improve their mood and better manage stress. The Challenging Negative Thoughts poster teaches clients how to spot and question thoughts that lead to intense emotions. It features a list of questions to help them rethink these thoughts. Examples are, “Am I assuming the worst?” and “Is this worry in or out of my control?” This poster can help kids or teens recognize thinking patterns that lead to negative self-talk, which then allows them to practice reframing negative thoughts. This is especially helpful during cognitive behavioral therapy (CBT) sessions. Therapists can use this as a discussion tool to introduce more positive and realistic ways to think. Our Changing Negative Thoughts to Positive Thoughts worksheet is a resource that can assist in the thought-reframing process. Our 19-page CBT Handouts Bundle can support those learning about CBT concepts. *This item is an instant digital download. A link to download your files will be emailed to you once payment is confirmed. Want more resources like this? Check out our full catalog of CBT worksheets and handouts. References: Hughes, J. S., Gourley, M. K., & Le Blanc, K. (2010). Stress and coping activity: Reframing negative thoughts. Teaching of Psychology, 38(1). https://doi.org/10.1177/0098628310390852 Kim, J., Kwon, J. H., Kim, J., Kim, E. J., Kim, H. E., Kyeong, S., & Kim, J. (2021). The effects of positive or negative self-talk on the alteration of brain functional connectivity by performing cognitive tasks. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-94328-9 Sharma, A., Rushton, K., Lin, I., Wadden, D., Lucas, K., Miner, A., Nguyen, T., & Althoff, T. (2023). Cognitive reframing of negative thoughts through human-language model interaction. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). https://doi.org/10.18653/v1/2023.acl-long.555 Show more