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Paper ID:IJSREM63161

The Efficacy of Neuro-Linguistic Programming (NLP) Techniques in Counselling: A Comparative Study of Mental State Management Across Age Cohorts

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63161

Volume:

10 |

5 |

May 2026

Pages:

1-14

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63161

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Prachi Rathore

Prachi Rathore

Department of Computer Science and Application

Vivekananda Global University

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GK

Gopal Krishna

Department of Computer Science and Application

Vivekananda Global University

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DG

Devgaya Goyal

Department of Computer Science and Application

Vivekananda Global University

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PST

Pranav Singh Taroch

Department of Forensic Science

Vivekananda Global University

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AK

Avantika Kumari

Department of BBA Management

Vivekananda Global University

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Mentors

DGL

Dr. Gendal Lal

Department of Computer Science and Application

Vivekananda Global University

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Abstract

This study looks at how effective Neuro-Linguistic Programming (NLP) techniques are in managing depression, anxiety, and stress among five age groups (10-60 years) using the Depression Anxiety Stress Scale (DASS-21). We evaluated a stratified sample of 1,000 participants from Jaipur, India, considering gender (Male/Female/Others) and marital status. We analyzed pre- and post-intervention scores with paired t-tests and one-way ANOVA. The results show significant reductions in all three DASS areas after the NLP intervention (p < 0.001). The 20-30 age group experienced the greatest reduction in stress at 32.4%, while the 50-60 group had the highest reduction in anxiety at 29.1%. Female participants had slightly better outcomes than male participants. Gender and marital status affected the results in meaningful ways, suggesting that tailored NLP approaches could greatly improve counseling effectiveness across different demographic groups. These findings support the need for structured integration of NLP methods into community mental health services in India..

KEYWORDS

Index Terms — Neuro-Linguistic Programming DASS-21 anxiety depression stress counselling age cohorts mental health India psychotherapy cognitive reframing anchoring.

Cite This Article

Prachi Rathore, Gopal Krishna, Devgaya Goyal, Pranav Singh Taroch, Avantika Kumari, Dr. Gendal Lal, "The Efficacy of Neuro-Linguistic Programming (NLP) Techniques in Counselling: A Comparative Study of Mental State Management Across Age Cohorts," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-14, May 2026. https://doi.org/10.55041/IJSREM63161

Full Article/Conclusion

The research demonstrates through statistical analysis together with clinically important effect sizes that an eight-week structured NLP counselling program leads to significant decreases in depression and anxiety and stress levels throughout five age groups among 1000 participants from diverse Indian backgrounds. The 20-30 cohort benefits most substantially from NLP intervention overall (d = 0.91), while the 50-60 cohort exhibits the highest anxiety-specific reduction (29.1%), and the adolescent cohort (10-20 years) responds robustly to developmentally adapted NLP protocols (d = 0.74). Female participants demonstrate superior outcomes relative to male participants, and married individuals show lower post-intervention stress scores, highlighting the moderating influence of social context on therapeutic efficacy. The evidence shows that NLP functions as an effective mental health treatment which can be expanded and offered to users at a low cost through its implementation in India's community mental health system. The evidence base presented supports advocacy for NLP integration within the Ayushman Bharat mental health framework, provided that practitioner certification standards and fidelity monitoring protocols are maintained. Future randomised controlled trials will be essential to consolidate the evidentiary foundation and determine the specific techniques and participant profiles that optimise therapeutic outcomes across the Indian life span.

References

[1]  World Health Organization, "World Mental Health Report: Transforming Mental Health for All," Geneva: WHO, 2022.  [Link] [2]  Gururaj, G., Varghese, M., Benegal, V. et al., "National Mental Health Survey of India, 2015-16: Prevalence, patterns, and outcomes," NIMHANS Publication No. 129, Bengaluru, 2016.  [Link] [3]  R. Bandler and J. Grinder, The Structure of Magic I: A Book About Language and Therapy. Palo Alto, CA: Science and Behavior Books, 1975.  [Link] [4]  P. Tosey and J. Mathison, Neuro-Linguistic Programming: A Critical Appreciation for Managers and Developers. Basingstoke: Palgrave Macmillan, 2010.  [Link] [5]  J. Sturt, S. Ali, W. Robertson, D. Metcalfe, A. Grove, C. Bourne, and C. Bridle, "Neurolinguistic programming: a systematic review of the effects on health outcomes," British Journal of General Practice, vol. 62, no. 604, pp. e757-e764, 2012.  [Link] [6]  C. Zaharia, M. Reiner, and P. Schutz, "Evidence-based neuro linguistic psychotherapy: a meta-analysis," Psychiatria Danubina, vol. 27, no. 4, pp. 355-363, 2015.  [Link] [7]  E. G. Einspruch and B. D. Forman, "Observations concerning research literature on Neuro-Linguistic Programming," Journal of Counseling Psychology, vol. 35, no. 2, pp. 207-213, 1988.  [Link] [8]  S. Kaur and R. Sinha, "NLP reframing and examination anxiety in Indian university students," Indian Journal of Psychological Medicine, vol. 41, no. 3, pp. 256-262, 2019.  [Link] [9]  S. Linder-Pelz and L. S. Hall, "The theoretical underpinnings of NLP coaching," The International Journal of Evidence Based Coaching and Mentoring, vol. 5, no. 1, pp. 30-40, 2007.  [Link] [10]  P. Tosey and J. Mathison, "Neuro-linguistic programming and learning theory: a response," The Curriculum Journal, vol. 14, no. 3, pp. 371-388, 2003.  [Link]

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Publication Date

5/13/2026

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Review Rounds: 2

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