Aims To compare the difference in the quality of life between temporomandibular disorders (TMD) patients and non-TMD subjects diagnosed with the Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD) or the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD). Methods Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica database (EMBASE) and Latin American and Caribbean Health Sciences Literature (LILACS) databases were searched in studies published in English and Portuguese. The search was performed by two independent reviewers in duplicate. A manual search and the gray literature were also included. The inclusion criteria were clinical studies that used the RDC/TMD axis I and quality of life with standard questionnaires in young and middle-aged adult population (18–55 years). The data were analyzed quantitatively by combining the results in a meta-analysis using forest plots. The measure of effect used was the standardized mean difference (SMD) in depression levels. The Newcastle–Ottawa Scale (NOS) was used to evaluate the quality of the studies. The publication bias was assessed by funnel plots. The initial search included 806 articles without duplications. Results Twenty-four articles were included in the final systematic review. Of these, 9 were included in the meta-analysis, where it was shown a statistically significant in all axis I groups: (a) global TMD—groups I, II and III combined, N = 3829, SMD (95% CI) = 1.06 (0.65–1.51), p = 0.000; (b) group I—muscle disorders, N = 3,056, SMD (95% CI) = 0.82 (0.45–1.18), p = 0.000; (c) group II—disc displacements, N = 3,184, SMD (95% CI) = 0.59 (0.26–0.91), p = 0.000; and (d) group III—arthralgia/arthritis/arthrosis, N = 2781, SMD (95% CI) = 0.98 (0.59–1.36), p = 0.000. When compared to controls. Conclusions Quality of life is affected in all axis I TMD patients, especially in groups I and III with higher pain intensity and disability as compared to group II.

According to the American Academy of Orofacial Pain (AAOP), temporomandibular disorders (TMD) are a set of pathological conditions characterised by pain or limitation of movement in the temporomandibular joint(s) (TMJ), the masticatory muscles or both. 1,2 The main functional, physical and psychosocial consequences of TMD may significantly impair oral health and quality of life. 2,3 It is a multifactorial condition triggered by initiating co-factors: existing pain conditions, trauma, parafunction or emotional distress, which affect the stomatognathic system's homeostasis. 4 The Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD) was published in 1992 and has been the standard diagnostic tool for TMD until 2014, when the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) was published. 5,6 The TMD chronic pain is frequently related to other chronic pain conditions (ie tension headaches, fibromyalgia, chronic fatigue and irritable bowel syndrome) and present neuroendocrine abnormalities, biopsychosocial distress, fatigue, impaired sleep quality, anxiety and/or depression. 7 Sleep quality and TMD relationship have been studied since 1995. 6 It was found that mandibular pain was twice as high in

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Background To study the association between sleep quality and oral health related variables, which still have conflicts in the literature. Material and Methods This was a population-based case-control study between subjects with versus without sleep disorders from the Brazilian Public Health System (SUS), city of Maringá (N=1,643). Subjects answered self-reported questionnaires: a) Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD), b) Sleep Assessment Questionnaire (SAQ) and c) North York Dental Health Survey (NYDHS). Results No significant difference was found for gender, marital status, or income; however, non-Caucasians, people with lower levels of education, and those between 20 to 50 years old had worse scores of sleep disorders in the SAQ. Self-perceived oral health, masticatory capacity to eat foods, and gingival bleeding was significantly worse among subjects with self-reported sleep disorders. Self-reported tooth loss, edentulism and use of removable partial dentures (with clasps) or complete dentures showed no significant difference between groups. Self-reported sleep disorder subjects presented significantly higher prevalence of both self-reported tooth and TMJ pain. Conclusions It can be concluded that individuals with self-reported sleep disorders presented worse self-perceived oral health for most studied variables. Key words: Oral health, case control study, sleep; review, gingivitis, periodontitis, tooth loss.

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Background: Musculoskeletal pain is one of the most common occupational problems in the industrial society and its prevalence is potentially associated with mental disorders. Objective: To estimate the prevalence of work-related musculoskeletal pain and its association with occurrence of common mental disorders among employees of a poultry processing company in Southern Brazil. Methods: Cross-sectional study conducted in 2010 with 1,103 employees aged 18 to 52 years old. Musculoskeletal pain was investigated based on a human figure adapted from the Standardized Nordic Questionnaire. We considered reported work-related pain in any part of the body in the past 12 months. Occurrence of common mental disorders was assessed-by the Self-Reporting Questionnaire (SRQ-20). Crude and adjusted prevalence ratios (PR) and corresponding 95% confidence interval (95%CI) were obtained by Poisson regression with robust variance. Results: The prevalence of work-related musculoskeletal pain was 40.3% (95%CI 37.4-43.2) for the total sample, 46.8% (95%CI 43.2-50.5) for women and 27.8% (95%CI 23.2-32.3) for men. The prevalence of musculoskeletal pain was twice higher for the participants with common mental disorders compared to those without this condition (PR=2.27; 95%CI 1.99-2.58). This effect remained significant after adjustment for sociodemographic, behavioral, health-related and occupational variables. Conclusion: The results of the present study point to the relevance of preventive measures to promote the mental and physical health of workers in order to reduce or minimize the occurrence of pain. Keywords | mental health; musculoskeletal pain; occupational health. RESUMO | Contexto:A dor musculoesquelética é um dos problemas ocupacionais mais comuns nas sociedades industrializadas, e sua prevalência é potencialmente associada à presença de transtornos mentais. Objetivo: Estimar a prevalência de dor musculoesquelética relacionada ao trabalho e sua associação com a presença de transtornos mentais comuns em trabalhadores de um frigorífico do Sul do Brasil. Métodos: Realizou-se um estudo transversal com o total de 1.103 trabalhadores, de 18 a 52 anos de idade, em 2010. A dor musculoesquelética foi avaliada por meio de uma figura humana adaptada do Questionário Nórdico de Sintomas Osteomusculares. Considerou-se o relato da presença de dor relacionada ao trabalho em qualquer região do corpo nos últimos 12 meses. A presença de transtornos mentais comuns foi determinada pelo Self-Reporting Questionnaire (SRQ-20). Razões de prevalências (RP) brutas e ajustadas, com seus respectivos intervalos de confiança de 95% (IC95%), foram obtidas mediante a regressão de Poisson. Resultados: A prevalência de dor musculoesquelética relacionada ao trabalho foi de 40,3% (IC95% 37,4-43,2) na amostra geral, 46,8% (IC95% 43,2-50,5) nas mulheres e 27,8% (IC95% 23,2-32,3) nos homens. Na análise bruta, trabalhadores com presença de transtornos mentais comuns apresentaram prevalência duas vezes maior de dor musculoesquelética relacionada ao trabalho quando com...

Background The Sense of Coherence (SOC) construct has been used worldwide in oral health research, but rigorous factor analyses of the scale are scarce. We aim to test the dimensional structure of the Brazilian short version of the SOC scale with 13 items. Methods This study is a secondary analysis of four independent cross-sectional Brazilian studies on oral health, using the 13-items SOC scale. Sample 1 was conducted on 1760 mothers and 1771 adolescents. Sample 2 comprised 1100 adults. Sample 3 had 720 adults and older individuals. Sample 4 comprised 664 adolescent students. Confirmatory Factor Analysis (CFA) was conducted on sample 1 to compare two models: 3-factor versus 1-factor. Because they were refuted, Exploratory Factor Analysis was implemented in samples 2 and 3. Modified models were tested in sample 4 using CFA. All analyses were conducted with MPlus version 7.11. Results CFA of sample 1 resulted in an unacceptable fit (RMSEA = 0.12;CFI = 0.78; TLI = 0.73; and WRMR = 3.28) for 1-factor model and 3-factor (RMSEA = 0.10; CFI = 0.87; TLI = 0.84; and WRMR = 2.50). The EFA on samples 2 and 3 showed, respectively, two eigenvalues greater than 1 (4.11 and 1.56) and (4.32 and 1.42), but the scale items soc1, soc2 and soc3 formed an uninterpretable second factor. Another CFA, using sample 4, showed acceptable model fit after removing those three items and also soc11 (RMSEA = 0.05; CFI = 0.98; TLI = 0.99; and WRMR = 0.71). Conclusion The results indicate that the SOC-13 scale needs further adjustments. The one-factor model with nine items showed a good statistical fit, but the implications of excluding items should be further investigated, considering the scale's content validity, cross-cultural adaptation and theoretical background.

Summary The present study aimed to determine the prevalence of, and factors associated with excessive and severe daytime sleepiness in healthcare university students. A cross‐sectional university‐based study was conducted with 1,779 students from a university located in the Brazilian Midwest State of Goiás, Brazil, in 2018. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS) and classified as excessive daytime sleepiness (EDS; cut‐off ESS score ≥10) and severe EDS (S‐EDS; cut‐off ESS score ≥16). Associated factors included sociodemographic, behavioural, academic, nutritional status, and sleep‐related and perceived health characteristics. Poisson regression was used for the data analysis. The mean (SD) age of the sample was 22.5 (3.84) years. The prevalence of EDS was 54.4% (95% confidence interval [CI] 51.9–56.1) and S‐EDS was 10.0% (95% CI 9.2–11.7). After adjustment, a higher probability of occurrence of EDS was found among women (prevalence ratio [PR] 1.37, 95% CI 1.24–1.53), younger students (PR 1.23, 95% CI 1.07–1.42), those who were studying medicine (PR 1.14, 95% CI 1.02–1.28), with poor sleep quality (PR 1.29, 95% CI 1.17–1.43), and among those who reported constant loss of sleep due to internet use (PR 1.14, 95% CI 1.02–1.27). After adjustment, the highest probability of occurrence of S‐EDS was found among women (PR 1.72, 95% CI 1.22–2.43), among those with poor sleep quality (PR 2.17, 95% CI 1.54–3.08), and medical students (PR 1.39, 95% CI 1.01–1.90). In conclusion, there was a high prevalence of daytime sleepiness among healthcare university students, especially among medical students and women.