Association between painful temporomandibular disorders, sleep bruxism and tinnitus

The present cross-sectional study was designed to investigate the association between sleep bruxism (SB), tinnitus and temporomandibular disorders (TMD). The sample consisted of 261 women (mean age of 37.0 years). The Research Diagnostic Criteria for Temporomandibular Disorders were used to classify TMD and self-reported tinnitus. SB was diagnosed by clinical criteria proposed by the American Academy of Sleep Medicine. The results showed an association between painful TMD and tinnitus (OR = 7.3; 95%CI = 3.50-15.39; p < 0.001). With regard to SB, the association was of lower magnitude (OR = 1.9; 95%CI = 1.16-3.26; p < 0.0163). When the sample was stratified by the presence of SB and painful TMD, only SB showed no association with tinnitus. The presence of painful TMD without SB was significantly associated with tinnitus (OR = 6.7; 95%CI = 2.64-17.22; p < 0.0001). The concomitant presence of painful TMD and SB was associated with a higher degree of tinnitus severity (OR = 7.0; 95%CI = 3.00-15.89; p < 0.0001). It may be concluded that there is an association between SB, painful TMD and self-reported tinnitus; however, no relationship of a causal nature could be established.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Estadual Paulista Araraquara School of Dentistry Department of Dental Materials and ProsthodonticsUniversidade de São Paulo Hospital das Clínicas Department of NeurologyUniv Estadual Paulista Araraquara School of Dentistry Department of Dental Materials and Prosthodontic

Challenges and Opportunities in Data Visualization Education: A Call to Action

This paper is a call to action for research and discussion on data visualization education. As visualization evolves and spreads through our professional and personal lives, we need to understand how to support and empower a broad and diverse community of learners in visualization. Data Visualization is a diverse and dynamic discipline that combines knowledge from different fields, is tailored to suit diverse audiences and contexts, and frequently incorporates tacit knowledge. This complex nature leads to a series of interrelated challenges for data visualization education. Driven by a lack of consolidated knowledge, overview, and orientation for visualization education, the 21 authors of this paper-educators and researchers in data visualization-identify and describe 19 challenges informed by our collective practical experience. We organize these challenges around seven themes People, Goals & Assessment, Environment, Motivation, Methods, Materials, and Change . Across these themes, we formulate 43 research questions to address these challenges. As part of our call to action, we then conclude with 5 cross-cutting opportunities and respective action items: embrace DIVERSITY+INCLUSION, build COMMUNITIES, conduct RESEARCH, act AGILE, and relish RESPONSIBILITY. We aim to inspire researchers, educators and learners to drive visualization education forward and discuss why, how, who and where we educate, as we learn to use visualization to address challenges across many scales and many domains in a rapidly changing world: viseducationchallenges.github.io