Effect of Brahma Kumaris Rajyoga Meditation on Happiness Index: A Comparative Study among Regular Meditators and Non-Meditators
International Journal of Science and Research (IJSR) November 15, 2025 DOI: 10.21275/sr251109100009 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Comparative cross-sectional study Peer reviewed |
|---|---|
| Sample size | 200 |
| Population | 100 regular Brahma Kumaris Rajyoga meditators practicing at least 2 years and 100 non-meditators matched for age, gender, and education |
| Intervention | Brahma Kumaris Rajyoga meditation |
| Duration | Practice duration of at least 2 years among meditators |
| Measures | Oxford Happiness Questionnaire (OHQ), Subjective Happiness Scale (SHS) |
| Topics | Meditation |
| Key findings | The abstract states the study's aim and methods but reports no results, so whether Rajyoga meditators scored higher on happiness than non-meditators is not stated. It notes that meditation practices have been associated with increased happiness and psychological well-being, and describes Rajyoga as an open-eyed technique emphasizing soul-consciousness, connection with the Supreme, and self-transformation. |
Abstract
Happiness, as an indicator of subjective well-being, reflects emotional balance, contentment, and life satisfaction. Meditation practices have been associated with increased happiness and psychological well-being. Rajyoga Meditation, taught by the Brahma Kumaris World Spiritual University, is a distinctive, open-eyed meditation technique emphasizing soul-consciousness, connection with the Supreme, and self-transformation through elevated thoughts and satvic living. To assess the effect of regular Brahma Kumaris Rajyoga meditation on the Happiness Index a comparative cross-sectional study was conducted among 200 participants?100 regular Rajyoga meditators (practicing ?2 years) and 100 non-meditators matched for age, gender, and education. The Oxford Happiness Questionnaire (OHQ) and Subjective Happiness Scale (SHS) were administered along with sociodemographic details and lifestyle factors. Statistical analyses included independent t-tests and multiple linear regression controlling for confounders (age, gender, education, physical activity, diet).