Evaluating the Impact of Sahaja Yoga Meditation on Anxiety and Depression Using Machine Learning Models
International Journal of Latest Technology in Engineering Management & Applied Science January 15, 2026 DOI: 10.51583/ijltemas.2025.1412000128 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational cohort Peer reviewed |
|---|---|
| Population | Participants who practiced Sahaja Yoga meditation |
| Intervention | Sahaja Yoga meditation |
| Duration | Over weeks |
| Topics | Anxiety Depression Meditation |
| Key findings | Sahaja Yoga meditation practice is associated with reduced anxiety and depression scores as measured by GAD-7 and PHQ-9. |
Abstract
Anxiety and depression affect people, around the world. The need, for effective, accessible non‑drug treatments is clear. Sahaja Yoga meditation is a practice that can lower stress and boost emotional health. The study examines how Sahaja Yoga meditation changes anxiety and depression using machine learning models. The researchers collected a dataset from participants who practiced Sahaja Yoga meditation over a period. The data were gathered over weeks. It observed that the participants reported anxiety and less depression after practicing Sahaja Yoga meditation. We did health assessments before the intervention and, after the intervention using the scales GAD-7 and PHQ-9. It applied machine learning algorithms. The machine learning algorithms included Random Forest, Support Vector Machines and Gradient Boosting. It used the machine learning algorithms to analyze and predict improvements in health. It observed drops, in anxiety scores and depression scores after practice of Sahaja Yoga. The machine learning models identified factors that helped health improvements. The machine learning models found the factors that mattered. These findings suggest that combining meditation practices with data-driven methods can enhance mental health monitoring and lead to personalized well-being interventions. This work also demonstrates how machine learning can objectively confirm the therapeutic benefits of Sahaja Yoga meditation.
Comparable studies
Other observational and cohort studies on anxiety, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| Effectiveness of a meditation-based stress reduction program in the treatment of anxiety disorders Patients with generalized anxiety disorder or panic disorder with or without agoraphobia | 1992 | Observational cohort | n = 22 |
| Antidepressant effects of a single dose of ayahuasca in patients with recurrent depression: a preliminary report Patients with a depressive disorder | 2015 | Observational study | |
| Patterning of Cognitive and Somatic Processes in the Self-Regulation of Anxiety: Effects of Meditation versus Exercise Regular practitioners of physical exercise or meditation | 1978 | Retrospective study | n = 77 |
| Dynamic coupling of whole-brain neuronal and neurotransmitter systems Healthy humans | 2020 | Observational study | |
| Psychedelics not linked to mental health problems or suicidal behavior: A population study Randomly selected United States adults | 2015 | Observational cohort | n = 135,095 |