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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63161
Volume:
10 |
5 |
May 2026
Pages:
1-14
Publication Frequency:
Monthly (12 issues per year)
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.

Department of Computer Science and Application
Vivekananda Global University
Department of Computer Science and Application
Vivekananda Global University
Department of Computer Science and Application
Vivekananda Global University
Department of Forensic Science
Vivekananda Global University
Department of BBA Management
Vivekananda Global University
Department of Computer Science and Application
Vivekananda Global University
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
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.
[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]
Publication Date
5/13/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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