ABSTRACT
AIMS: The aim of this study was to investigate the relationship between occlusal factors and temporomandibular disorders (TMD). METHODOLOGY: One hundred patients were selected among those who sought medical or dental care in public practice in Recife, Brazil. The presence of malocclusions and absence of five or more posterior teeth were evaluated by the clinical exam. TMD diagnosis was given using Research Diagnostic Criteria (RDC/TMD). Statistics were carried out using Fisher and Mann-Whitney methods with 5% significance level, as well as multiple logistic regression analysis. RESULTS: The sample was mainly comprised of women (83%), individuals over 30 years old (57%) and singles (53%). The percentage of TMD and malocclusion in total sample was 42% and 50%, respectively, while in TMD subjects, malocclusion was present in 38.1%. There was no association between TMD and the occlusal factors studied. CONCLUSION: It can be concluded that malocclusion and loss of five or more posterior teeth does not contribute to TMD.
Subject(s)
Malocclusion/complications , Temporomandibular Joint Disorders/etiology , Tooth Loss/complications , Adolescent , Adult , Aged , Brazil/epidemiology , Female , Humans , Male , Malocclusion/epidemiology , Middle Aged , Temporomandibular Joint Disorders/epidemiology , Tooth Loss/epidemiologyABSTRACT
OBJECTIVE: To analyze the influence of socioeconomic and demographic factors (gender, economic class, age and marital status) on the occurrence of temporomandibular disorder. STUDY DESIGN: One hundred individuals from urban areas in the city of Recife (Brazil) registered at Family Health Units was examined using Axis I of the Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD) which addresses myofascial pain and joint problems (disc displacement, arthralgia, osteoarthritis and oesteoarthrosis). The Brazilian Economic Classification Criteria (CCEB) was used for the collection of socioeconomic and demographic data. Then, it was categorized as Class A (high social class), Classes B/C (middle class) and Classes D/E (very poor social class). The results were analyzed using Pearson's chi-square test for proportions, Fisher's exact test, nonparametric Mann-Whitney test and Binary logistic regression analysis. RESULTS: None of the participants belonged to Class A, 72% belonged to Classes B/C and 28% belonged to Classes D/E. The multivariate analysis revealed that participants from Classes D/E had a 4.35-fold greater chance of exhibiting myofascial pain and 11.3-fold greater chance of exhibiting joint problems. CONCLUSION: Poverty is a important condition to exhibit myofascial pain and joint problems.
