Effectiveness of NLP in Dealing with Guilt Induced Anxiety, Depression and Stress: A Case Study | The International Journal of Indian Psychȯlogy

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Comparative Study

| Published: June 25, 2016

Effectiveness of NLP in Dealing with Guilt Induced Anxiety, Depression and Stress: A Case Study

Counselling Psychologist and NLP Practitioner, PeaceFiles, Aurangabad, Maharashtra, India Google Scholar More about the auther

DIP: 18.01.010/20160476

DOI: 10.25215/0476.010

ABSTRACT

This case study indicates the efficacy of NLP based intervention techniques in reducing guilt induced anxiety and depression. These techniques were used by the author for the treatment of a 24 year old female client, over a 5 weeks period. The client suffered from anxiety and depression due to guilt over her past experiences. Pre and post intervention as well as follow up evaluations were established. A significant reduction in anxiety and depression symptoms through both objective testing and subjective reporting indicated that NLP techniques are effective in treating guilt induced anxiety, depression and stress.

Keywords

NLP, Neuro Linguistic Programming, Guilt, Anxiety, Depression

This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.

How to cite this article:

Sheoran P . (2016). Effectiveness of NLP in Dealing with Guilt Induced Anxiety, Depression and Stress: A Case Study. International Journal of Indian Psychology 4 (8), DOI: 10.25215/0476.010, DIP: 18.01.010/20160476