ETHICAL DISCIPLINES OF YOGA (YAMA AND NIYAMA) AND THEIR INFLUENCE ON PSYCHOLOGICAL WELL-BEING: A SYSTEMATIC REVIEW
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Abstract
The ethical foundations of yoga, specifically Yama (social discipline) and Niyama (personal observances), have gained increasing scholarly attention as potential therapeutic mechanisms for enhancing psychological well-being. This systematic review synthesizes existing empirical evidence examining the relationship between these ethical yoga disciplines and mental health outcomes. A comprehensive search was conducted across PubMed, PsycINFO, Scopus, and Google Scholar databases for studies published between 2010 and 2022, focusing on peer-reviewed research examining the influence of Yama and Niyama practices on psychological well-being, emotional regulation, anxiety, depression, and stress reduction. Study selection employed rigorous PRISMA 2020 guidelines with predetermined inclusion and exclusion criteria. Screening of 847 initial records identified 28 studies meeting inclusion criteria—19 quantitative studies, 6 qualitative investigations, and 3 mixed-methods designs. Quality assessment utilized the GRADE methodology to evaluate evidence certainty. Meta-analysis of 15 quantitative studies revealed statistically significant improvements in psychological well-being among practitioners of Yama and Niyama (standardized mean difference = 0.68; 95% CI: 0.45-0.91). Additionally, pooled analyses demonstrated meaningful reductions in anxiety symptoms (SMD = -0.52; 95% CI: -0.78 to -0.26) and depression scores (SMD = -0.45; 95% CI: -0.71 to -0.19). Qualitative synthesis identified consistent themes including enhanced emotional regulation, improved interpersonal relationships, and increased life satisfaction. This review provides evidence that structured practice of Yama and Niyama principles produces measurable psychological benefits, supporting their integration into holistic mental health interventions. Future research should employ larger sample sizes, longitudinal designs, and standardized outcome measures to establish optimal implementation protocols.