Objectives: In recent years, mindfulness-based practices in psychiatric patients have become a new trend. It is applied to many mental disorders and is stated to have various benefits. There is not enough research yet on how mindfulness-based practices effect patients with diagnosed bipolar disorder. This study aimed to evaluate the effects of mindfulness-based psychoeducation program on emotion regulation strategies and perceived stress levels of patients diagnosed with bipolar disorder.
Methods: The study, which was carried out as a pre-test and post-test quasi-experimental research design with a control group, was carried out with a total of 71 patients diagnosed with bipolar disorder, 35 of whom were assigned to the experimental group, and 36 of them were assigned to the control group. Data of the study was collected with the Personal Information Form, Mindful Attention Awareness Scale (MAAS), Emotion Regulation Questionnaire (ERQ), and Perceived Stress Scale (PSS). The mindfulness-based psychoeducation program was implemented in the form of group training, 2 sessions per week, for a total of 6 sessions.
Results: Compared to the control group, it was determined that the MAAS and ERQ-Reappraisal total mean scores of the experimental group increased significantly, and the PSS and ERQ-Suppression total mean scores decreased significantly (p < 0.01).
Conclusions: Mindfulness-Based psycoeducation program improved mindfulness, emotion regulation and level of perceived stress of patients diagnosed with bipolar disorder.
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http://dx.doi.org/10.1016/j.apnu.2024.07.020 | DOI Listing |
J Reprod Immunol
January 2025
Department of Chinese Medicine Rehabilitation, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang 50001, China. Electronic address:
Clinical evidence increasingly suggests that traditional treatments for dysfunctional uterine bleeding (DUB) have limited success. In this study, blood samples from 10 DUB patients and 10 healthy controls were collected for transcriptome sequencing. Then, the differentially expressed genes (DEGs) were screened and crossed with the DUB-related module genes to obtain the target genes.
View Article and Find Full Text PDFComput Biol Med
January 2025
Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
View Article and Find Full Text PDFWest Afr J Med
September 2024
Mental Health Unit, Federal Medical Centre, Jabi, Abuja.
Background: Depression and anxiety disorders frequently co-occur with Type 2 Diabetes Mellitus, leading to poor glycaemic control and quality of life through complex biopsychosocial mechanisms. A dual diagnosis of chronic medical and mental health conditions reduces the probability of early recognition and intervention for either. This study was aimed at assessing the prevalence and correlates of depression and anxiety disorders among persons with Type 2 Diabetes Mellitus in a tertiary hospital in North-West Nigeria.
View Article and Find Full Text PDFBr J Radiol
January 2025
Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Yanta Western Road, Xi'an, Shannxi, 710061.
Purpose: To explore the effect of different reconstruction algorithms (ASIR-V and DLIR) on image quality and emphysema quantification in chronic obstructive pulmonary disease (COPD) patients under ultra-low-dose scanning conditions.
Materials And Methods: This prospective study with patient consent included 62 COPD patients. Patients were examined by pulmonary function test (PFT), standard-dose CT (SDCT) and ultra-low-dose CT (ULDCT).
Rheumatology (Oxford)
January 2025
Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.
Objectives: To facilitate earlier diagnosis of autoimmune rheumatic diseases (ARDs), we aimed to 1) develop START, a novel multimedia-based symptom appraisal tool for ARDs and 2) pilot test START among established ARD cases and non-ARD controls.
Methods: We developed START using a social cognitive theory-based theoretical framework and consensus-based lists of ARDs and manifestations from our previous work. START was revised through reviews by an expert panel of rheumatologists and cognitive debriefing interviews (CDIs) with patients newly referred for assessment of ARDs.
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