Pre- and post-meditation data were acquired from both groups over a period of 30 and 90 days.
Similar patterns were observed, as expected due to strong positive correlations, for the other meditation characteristics (data not shown).
To assess the predictive power of the GE changes between the groups, we employed machine-learning procedures to construct classifiers to predict group membership based on pre- versus post-intervention GE (vacation effect) and regular versus non-regular post-intervention GE data (meditation effect).
Based on these initial results, additional analyses including spatial regression models incorporating these types of variables, as well as the collection of individual-level meditation and health data, especially as it relates to mental health, stress, and certain cancer outcomes, is warranted.
Despite that data, however, meditation isn't for everyone.
Based on preliminary data, RR meditation appears to increase populations of endogenous progenitor cells in patients with systolic hypertension.
This paper provides a broad, state-level description of meditation characteristics and health data using descriptive statistics, correlation analysis, and spatial overlay conducted with GIS.
However, in the absence of in depth data on meditation practice following the completion of treatment, we cannot know to what extent this was an important protective factor.
Taken together, their data reveals that meditation can change the brain in measurable ways and in ways that seem linked to care and compassion for others.
A parade of gurus, Buddhist monks and yoga masters were about to make their mark; scientists were gathering scientific data on Transcendental Meditation; new forms of practice were being introduced and mainstreamed for seekers of better health, psychological stability and spiritual enlightenment.
