This study investigated the clinical temporomandibular disorders (TMD), pain-related disability and psychological status of TMD patients using a computerized on-line TMD diagnostic system (NUS TMD v1.1). A total of 107 patients (32 male, 75 female) referred to the TMD clinics at the National Dental Centre and National University Hospital participated in this study. The mean age of the predominantly Chinese population (82.2%) was 30.8 years (range from 12 to 64 years). The history questionnaire and clinical examination were input directly into computers by patients and clinicians. A 'Summary of Findings' was then immediately generated by the program based on Axis I and II rules. The data was subsequently exported to SPSS for statistical analysis. About 20.6% of the patients had myofascial pain but only 7.5% experienced limited mandibular opening associated with myofascial pain. The majority of patients (> 80%) did not suffer from disc displacements (right and left joints). The frequency of arthralgia was also low (right joint 8.4%; left joint 7.5%) and only one patient had osteoarthosis of the TMJ. About 78.5% of the patients had low disability with almost equal distribution between low and high intensity pain, 27.1% of the patients were moderately depressed and 11.2% had severe depression. No significant difference in limitations related mandibular functioning scores was observed between normal/depressed patients and between patients with the different graded chronic pain severity classification. The three most frequent jaw disabilities were: eating hard foods (77.6%), yawning (75.7%) and chewing (64.5%). NUS TMD v1.1 is an extremely useful tool in the diagnosis/research of clinical TMD.
The prevalence of depressive symptoms and NPSs was lower in Asian TMD patients. Psychological distress experienced by female Asian TMD patients was comparable to their male counterparts. Results also suggest that depressive symptomatology is associated with the reporting of multiple NPSs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.