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Objective: To estimate the prevalence of temporomandibular dysfunction in scleroderma patients according to the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) and to correlate it with disease variables. Methods: Temporomandibular dysfunction was evaluated in 75 scleroderma patients and 74 healthy controls using DC/TMD. Gastrointestinal symptoms were evaluated through the University of California Los Angeles (UCLA) score in scleroderma patients. Results: There was no difference of prevalence in temporomandibular dysfunction [30 (40%) vs 30 (40.5%); p > 00.05] between scleroderma patients and healthy controls. Scleroderma patients had a significant reduction in all oral movements compared to healthy controls. Scleroderma patients with temporomandibular dysfunction had a statistically higher score in the UCLA distention/bloating item [1.75 (0.5–2.38) vs 0.75 (0.25–1.75); p < 0.05] than scleroderma patients without temporomandibular dysfunction. Discussion: Temporomandibular dysfunction prevalence between scleroderma patients and healthy controls is similar. In scleroderma patients, temporomandibular dysfunction reduces oral mobility and opening, which worsens distension/bloating. [ABSTRACT FROM AUTHOR]

Numerous research works prove that social relationships and the support they provide have particular importance in maintaining both mental and physical health: they help to deal with stressful life situations, overcome diseases, and maintain health. It is also known that certain periods of life and life events can be critical in terms of social support, as they involve the narrowing of possible sources of support, so the lack of a network of contacts and social support increases not only the risk of becoming lonely but also the occurrence or worsening of diseases. This study investigates the relationship between social network factors and support provided through networks and health problems, taking into account the perceived personal and general impact of COVID-19. The data came from a cross-sectional study, a representative sample of 5000 Hungarian participants was conducted during the dwindling period of the pandemic. We used a latent profile analysis to separate the different groups of respondents based on the support received from different sources of relationships, aiming at capturing the diversity of supported support combinations based on the type of relationships in the network, the form of support, and frequency. Multilevel regression was used to examine the impact of social connectivity factors, emerging patterns, and COVID-19-related perceived consequences on health conditions. Our results confirm that the "poorly supported network" plays a key role in the occurrence of chronic diseases and depression. It seems interesting, however, that the probability of poor physical and mental health was higher in the group of those receiving financial and in-kind support mainly from family compared to the group of those receiving support from multiple sources of relationships. The models also suggest that network integration plays a major role in maintaining mental and physical health during an epidemic crisis. [ABSTRACT FROM AUTHOR]