Lack of educational projects in the available literature was an inspiration to develop a psychoeducational program. The objective was to provide patients with basic information on the contribution of stressors in the occurrence of temporomandibular joint dysfunction and educate on methods for coping with stress most commonly used in psychology. In the course of three meetings, patients are familiarised with the issue of experienced stress as a potential source of psychosomatic illnesses (in particular, temporomandibular joint dysfunction). Preliminary patients' opinions, expressed through self-report methods, indicate significant usefulness of the developed psychoeducational program for the process of treatment and the quality of patients' lives.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295442 | PMC |
| http://dx.doi.org/10.1155/2014/678169 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Navigating the Interconnected World of Tooth Wear, Bruxism, and Temporomandibular Disorders.
J Contemp Dent Pract
October 2024
Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu, India; Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, Naples, Italy, Phone: +39 3289129558, e-mail:
Ronsivalle V, Russo D, Cicciù M, et al. Navigating the Interconnected World of Tooth Wear, Bruxism, and Temporomandibular Disorders. J Contemp Dent Pract 2024;25(10): 911-913.
View Article and Find Full Text PDFRelationships between orofacial pain and sleep: Analysis of UK biobank and genome-wide association studies data.
J Dent Sci
January 2025
Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China.
Background/purpose: Orofacial pain is common in dental practices. This study aimed to explore relationships between orofacial pain and sleep using the UK Biobank dataset and, based on epidemiological associations, to investigate the causal association using genome-wide association studies data.
Materials And Methods: First, a cross-sectional study was conducted with 196,490 participants from UK Biobank.
A comparative analysis of older patients with chewing difficulties due to temporomandibular disorders and tooth loss.
J Dent Sci
January 2025
Department of Oral Medicine, Dental and Life Science Institute, School of Dentistry, Pusan National University, Yangsan, Republic of Korea.
Background/purpose: Chewing difficulty can contribute to psychological stress, which reduces the quality of life for older adults. The purpose of this study was to investigate and analyze the severity of masticatory discomfort, stress response, and sleep disturbance in older patients experiencing masticatory discomfort due to tooth loss or temporomandibular disorders (TMD), to find the further treatment direction for these patients.
Materials And Methods: A total of 392 patients aged 50 years and older with mastication difficulties were analyzed.
Phosphotungstic acid-enhanced micro-computed tomography and RNA sequencing provide a new perspective on temporomandibular joint arthritis induced by complete Freund's adjuvant and collagen-induced arthritis in rat models.
J Dent Sci
January 2025
Department of Dentistry, College of Dentistry, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Background/purpose: Temporomandibular joint (TMJ) arthritis causes inflammation and degradation of the mandibular condylar cartilage and subchondral bone. Complete Freund's adjuvant (CFA) and collagen-induced arthritis (CIA) are models for studying TMJ arthritis. While micro-computed tomography (micro-CT) is crucial for three-dimensional (3D) bone analysis, it has limitations in imaging nonmineralized tissues.
View Article and Find Full Text PDFAutomatic classification of temporomandibular joint disorders by magnetic resonance imaging and convolutional neural networks.
J Dent Sci
January 2025
Institute of Statistics, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan.
Background/purpose: In this study, we utilized magnetic resonance imaging data of the temporomandibular joint, collected from the Division of Oral and Maxillofacial Surgery at Taipei Veterans General Hospital. Our research focuses on the classification and severity analysis of temporomandibular joint disease using convolutional neural networks.
Materials And Methods: In gray-scale image series, the most critical features often lie within the articular disc cartilage, situated at the junction of the temporal bone and the condyles.
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!