The relationship between psychological factors and temporomandibular disorders: a systematic review and meta-analysis
Abstract
Background: Temporomandibular disorders (TMD) are multifactorial conditions that involve pain, dysfunction, and impaired jaw movement, significantly impacting patients' quality of life. Emerging evidence suggests that psychological factors, including anxiety, depression, and stress, play a crucial role in the onset and progression of TMD. However, the exact nature of this relationship remains unclear. This study aims to systematically analyze and quantify the association between psychological factors and TMD, providing clinically relevant insights to improve patient management and therapeutic strategies.
Methods: This study was registered with the International Platform of Registered Systematic Review and Meta-Analysis Protocols (INPLASY202420084) to ensure methodological transparency and adherence to systematic review standards. The study design and protocol followed the Preferred Reporting of Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The National Institutes of Health (NIH) Quality Assessment Tool was used to assess the methodological quality of the included studies. The data were systematically extracted and analyzed.
Results: The literature search yielded 2392 potential articles, of which 21 were included in this study. A significant correlation was found between TMD and anxiety, depression, stress, and somatization. Statistically significant differences in anxiety and depression scores were observed between patients with TMD and the controls (p…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.