Objectives: Interpersonal relationships are a cornerstone of wellbeing. Mindfulness-based practices have been shown to improve relationship quality and reduce perceived stress. Inner Engineering (IE) is a transformative program that includes meditative and yogic practices associated with improvements in mindfulness and wellbeing.

Methods: This cross-sectional observational study enrolled participants who were already registered for the Inner Engineering program to learn Shambhavi Mahamudra Kriya, a multi-component, 21-min meditation. Of the 356 participants who consented, 290 participants downloaded the mobile 3Cs app to participate. The enrolled participants were asked to complete self-reported electronic questionnaires at three timepoints: before the program, post-program, and 6 weeks after the program. The following measures were used: the Positive-Negative Relationship Quality (PN-RQ) scale, Interpersonal Mindfulness Scale (IMS), Perceived Stress Scale (PSS), Compassion Scale (CS), and Flourishing Measure. Linear mixed-effects models were used to analyze the survey data, with -values of < 0.05 considered statistically significant.

Results: From the baseline to the 6-week follow-up after the program, the participants reported experiencing more positive qualities ( < 0.001, = 0.12) and fewer negative qualities ( = 0.001, = 0.08) in their relationships, increased interpersonal mindfulness ( < 0.001, = 0.30), decreased stress levels ( < 0.001, = 0.27), enhanced compassion for others ( < 0.001, = 0.17), and overall personal wellbeing ( < 0.001, = 0.25).

Conclusion: Participation in the Inner Engineering yoga program appears to be associated with improvements in relationships, interpersonal mindfulness, compassion, stress, and overall wellbeing.

Clinical Trial Registration: ClinicalTrials.gov, identifier: NCT05528978.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11701375PMC
http://dx.doi.org/10.3389/fpsyg.2024.1454293DOI Listing

Publication Analysis

Top Keywords

inner engineering
16
relationship quality
12
interpersonal mindfulness
12
perceived stress
8
associated improvements
8
enrolled participants
8
qualities 0001
8
interpersonal
6
program
6
0001
6

Similar Publications

This study presents a comprehensive method for detecting debonding defects in concrete-filled steel tube (CFST) structures using wave propagation analysis with externally attached piezoelectric ceramic sensors. Experimental tests and numerical simulations were conducted to evaluate the sensitivity and accuracy of two measurement techniques-the flat and oblique measurement methods-in detecting debonding defects of varying lengths and heights. The results demonstrate that the flat measurement method excels in detecting debonding height, while the oblique method is more effective for detecting debonding length.

View Article and Find Full Text PDF

Coronary artery stenosis detection remains a challenging task due to the complex vascular structure, poor quality of imaging pictures, poor vessel contouring caused by breathing artifacts and stenotic lesions that often appear in a small region of the image. In order to improve the accuracy and efficiency of detection, a new deep-learning technique based on a coronary artery stenosis detection framework (DCA-YOLOv8) is proposed in this paper. The framework consists of a histogram equalization and canny edge detection preprocessing (HEC) enhancement module, a double coordinate attention (DCA) feature extraction module and an output module that combines a newly designed loss function, named adaptive inner-CIoU (AICI).

View Article and Find Full Text PDF

Toxic acetone gas emissions and leakage are a potential threat to the environment and human health. Gas sensors founded on metal oxide semiconductors (MOS) have become an effective strategy for toxic gas detection with their mature process. In the present work, an efficient acetone gas sensor based on Au-modified ZnO porous nanofoam (Au/ZnO) is synthesized by polyvinylpyrrolidone-blowing followed by a calcination method.

View Article and Find Full Text PDF

Rolling bearings are critical rotating components in machinery and equipment; they are essential for the normal operation of such systems. Consequently, there is a pressing need for a highly efficient, applicable, and reliable method for bearing fault diagnosis. Currently, one-dimensional data-driven fault diagnosis methods, which rely on one-dimensional data, represent a mainstream approach in this field.

View Article and Find Full Text PDF

The rapid development of the global chemical industry has led to widespread groundwater contamination, with frequent pollution incidents posing severe threats to water safety. However, there has been insufficient assessment of the health risks posed by chlorinated hydrocarbon contamination in groundwater around chemical industrial parks. This study evaluates the chlorinated hydrocarbon contamination in groundwater at a chemical park and conducts a multi-pathway health risk assessment, identifying the key risk pollutants.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!