ABSTRACT
The aim of the present study was to assess the relationship between temporomandibular joint disorder (TMJD) and headache in children and adolescents. A prospective cross-sectional cohort study was carried out involving 93 children and adolescents (6 to 14 years of age) at the outpatient service of a dental school. All participants underwent a clinical examination involving Axis 1 of the Research Diagnostic Criteria for Temporomandibular Disorders, along with a characterization of headache and an anthropometric evaluation. Statistical analysis involved the chi-squared test for quantitative variables and the Student's t-test, ANOVA and Tukey's test for quantitative data. An adjusted logistic regression model was used to determine significant associations among gender, age, TMJD and headache. Mild TMJD was identified in 35.8% of the sample and was not associated the presence of headache. Moderate TMJD was found in 25.8% of patients and severe TMJD was found in 11.8%; both forms of TMJD were associated with headache. A significant correlation was found between the intensity of TMJD and the risk of headache. The present findings demonstrate a positive correlation between TMJD and headache in children and adolescents, independently of gender and age.
Subject(s)
Headache/etiology , Temporomandibular Joint Disorders/complications , Adolescent , Age Factors , Child , Cohort Studies , Cross-Sectional Studies , Humans , Malocclusion/complications , Open Bite/complications , Prospective Studies , Risk Factors , Sex Factors , Temporomandibular Joint Disorders/diagnosis , Tooth Wear/complicationsABSTRACT
Temporomandibular disorders (TMD) is a term applied to functional changes of the temporomandibular joint (TMJ) and associated structures of mastication. Aim: To investigate the correlation between body mass index (BMI) and TMD in children. Methods: 70 children between 6 and 14 years enrolled in the Rogationist Benevolent Institute of charity in the city of São Paulo (Brazil) underwent clinical examination by one calibrated examiner for the use of Research Diagnostic Criteria for TMD. Weight and height were determined by anthropometric assessment for the diagnosis of nutritional status, and BMI was calculated by dividing weight in kilograms by height in meters squared (kg/m2). Descriptive analysis (mean and standard deviation) was used to characterize the sample. ANOVA complemented by the Least Significant Difference test was used to compare the mean anthropometric measurements between the genders and the groups with and without TMD. The significance level was set at 0.05. Results: We found a significantly high prevalence of TMD, as well as a significant association between TMD light and low body weight. Conclusions: The results show a high prevalence of TMD and a slight association between TMD and children with low body weight.
