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Meditation: all studies

Page 3 of 2,177: studies 21 to 30 of 21,770, newest first. Back to the meditation overview

Research

The 108 Breath Awareness Method: A Proposed Daily Contemplative Practice with Four Visual Conditions

Zenodo (CERN European Organization for Nuclear Research) October 29, 2026 David (daoud) Matta preprint

Breath awareness is among the oldest contemplative instructions and a frequent object of mindfulness research, yet practitioners are usually offered either an open-ended invitation to “notice the breath” or a technique that alters breathing. This article proposes the 108 Breath Awareness Method, a specified daily practice between these options: attending to 108 natural respiratory cycles in the...

Mindfulness-based orofacial pain education promotes perceived control and self-management in painful TMD.

Cranio : the journal of craniomandibular practice October 29, 2026 Beatriz Dorne, Giovana Quaresma del Grande, Alex Moreira Mélo et al.

Background: The added value of mindfulness-based strategies for chronic painful temporomandibular disorders (TMD) remains unclear. Objectives: To evaluate an 8-week Mindfulness-Based Orofacial Pain Education Program added to conventional care. Methods: This mixed-methods quasi-experimental controlled study included 53 adults receiving conventional care plus the program (n = 30) or conventional...

The relation between mindfulness and mentalizing among individuals with borderline personality disorder: A controlled study.

Personality disorders October 29, 2026 Noa Steinberg, Tom Livni, Rotem Moshe-Cohen et al.

Mentalizing-the capacity to consider mental states-is a core human ability, yet processes related to it remain poorly understood. Mindfulness has been proposed as functionally related to mentalizing, but the nature and direction of this relation remain unclear. Although both are relevant to borderline personality disorder (BPD), research has rarely examined them together. This study examined...

AI-Driven Mindfulness-Based Mental Health Support for Mothers of Children With Autism

Advances in computational intelligence and robotics book series October 29, 2026 M. Sujisha, Sunita Dhenwal

Mothers caring for children with Autism Spectrum Disorder often face ongoing stress, emotional challenges, and significant caregiving responsibilities. These factors can affect family dynamics and the quality of support services available for disabilities. Although traditional counselling can offer some psychological relief, it may lack personalization, scalability, or ongoing monitoring. This...

Economic Evaluations of Mindfulness-Based Stress Reduction: A Systematic Review

October 29, 2026 Rebecca L. Acabchuk, Nana Amma O. O. Larbi, Patricia M. Herman et al. preprint

ObjectiveAs healthcare systems increasingly emphasize value-based care, evidence regarding the economic implications of nonpharmacologic interventions is needed to inform implementation and reimbursement decisions. This study aimed to assess the economic value of Mindfulness-Based Stress Reduction, identify clinical populations in which economic evaluations have been conducted, and assess the...

Effects of mindfulness-based interventions on sleep quality in university students: a meta-analysis of randomized controlled trials

Frontiers in Public Health October 29, 2026 Hongwei Wang, Longkang Guo, Junbo Wang et al.

Background Sleep problems are common among university students due to academic stress, lifestyle factors, and psychological distress and may adversely affect physical and mental health, academic performance, and social functioning. Mindfulness-based interventions (MBIs) have increasingly been used as a non-pharmacological approach to improve sleep health; however, previous findings remain...

Effect of Mindfulness-Based Stress Reduction Combined With Family Support on Depressive Symptoms and Sleep Quality in Patients With Postpartum Depression: A Retrospective Cohort Study Based on Propensity Score Matching

Actas Españolas de Psiquiatría October 29, 2026 Qiusi Yuan

Background: To explore the association between mindfulness-based stress reduction nursing combined with family support nursing and depressive symptoms, sleep quality, related physiological indicators in patients with postpartum depression using a retrospective propensity score-matched design. Methods: A total of 472 patients with postpartum depression admitted to Nanjing Medical University...

Design and Evaluation of Mindfulness and Meditation Applications for Enhanced User Well-being

International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews October 29, 2026 Aasawari Nitin Badgujar

This research paper reviews the design and evaluation of mobile and web applications designed for mindfulness and meditation. By synthesizing existing research on application features, user engagement, and well-being outcomes, this study identifies key elements that contribute to the effectiveness of these applications. The review highlights design principles, user feedback, and the impact of...

Post-psychedelic and meditation-related challenges: a protocol for a mixed-methods longitudinal-observational study

medRxiv October 29, 2026 J. Lipson, Nicholas K. Canby, Z. Salako et al. preprint

Introduction: Psychedelics and meditation are increasingly used for therapeutic and wellness purposes. However, research into adverse effects (AEs) has been limited, without adequate investigation of the nature, clinical characteristics, and diversity of persisting challenges following psychedelic use and meditation practice. This study aims to better characterize the clinical and contextual...

ACAM-J-MARS: Multi-Atlas Riemannian Spectral Representations for Decoding Advanced Meditation States from fMRI

arXiv Preprint Archive October 29, 2026 Jian Wang, Winson F.z. Yang, Wugeng Zheng et al. preprint

Inferring jhana-type advanced concentration absorption meditation (ACAM-J) states from fMRI data is challenging due to the spatially distributed nature of meditation-related effects, substantial inter-individual variability that can exceed within-subject state differences, and limited sample sizes. Conventional machine-learning approaches often formulate this problem as unimodal, Euclidean,...