To assess the frequency of coronavirus disease-2019 (COVID-19) and the effect of obstructive sleep apnea (OSA) management on COVID-19 among patients with confirmed OSA. Cross-sectional telephone interview survey. Academic sleep labs. Iranian adults ≥ 18 years old with confirmed OSA. Among 275 participants with OSA, 20% (n = 55) were suspected to have history of COVID-19 but had no positive test, and 18% (n = 51) were in the definite COVID-19 group according to their reported symptoms or confirmed positive test. Having severe OSA (apnea hypopnea index ≥ 30) was associated with an increased risk of definite COVID-19, with an odds ratio (OR) with 95% confidence interval (95% CI) of 2.31 (0.87-5.55) compared to having mild OSA in definite COVID-19 group. Those not undergoing treatment for OSA had an OR (95% CI) of 2.43 (1.26-4.67) for definite COVID-19 compared to those accepting treatment in definite COVID-19 group. Total sleep times (TSTs) were 354, 340, and 320 minutes in healthy, suspected, and COVID-19 groups, respectively; TST was associated with COVID-19 (P-value = .04). Similarly, sleep efficiency (SE) scores were 75.7, 74.2, and 67.9% for the healthy, suspected, and COVID-19 groups, respectively (P-value = .005); Beck Depression scores were 13.8, 13.0, and 17.7, respectively (P-value = .056). OSA as a proinflammatory condition with multiple comorbidities may be a contributing factor to developing COVID-19. Greater OSA severity, no treatment for OSA, and lower TST and SE were associated with increased COVID-19 prevalence among patients with OSA.

BACKGROUND: There are many studies discussed about musculoskeletal disorders in dentists, but most of them do not have a control group. OBJECTIVE: The aim of this study was to assess neck and upper limb symptoms in male dentists in comparison with p

Objective Obstructive sleep apnea (OSA) and cardiovascular disease (CVD) are both major medical causes of road accidents among commercial motor vehicle (CMV) drivers. The present study aimed to determine the association of the ten-year risk of developing CVD and other cardiac risk factors with the risk of developing OSA among apparently healthy CMV drivers. Materials and Methods The present cross-sectional study was conducted on 315 male CMV drivers. Demographic characteristics were collected, and the Epworth Sleepiness Scale (ESS), the Snoring, Tiredness, Observed Apnea, High Blood Pressure, Body Mass Index (BMI) > 35 kg/m², Age > 50 Years, Neck Circumference > 40 cm, and Male Gender (STOP-Bang) questionnaire, and International Physical Activity Questionnaire-Short Form (IPAQ-SF) were filled out, and the ten-year CVD risk was calculated through the Framingham Risk Score (FRS) for each individual. Laboratory tests also were performed. The participants were divided into two groups based on the STOP-Bang score and FRS, and other CVD risk factors were compared, accordingly. The Chi-squared test, the Student t-test, analysis of variance (ANOVA), and logistic regression were used for the analysis. Results The mean age of the drivers was of 45.57 (range: 30 to 70) years. In the univariate analysis, the mean age, years of driving experience, FRS, vascular age, blood pressure, diabetes mellitus, metabolic syndrome, ESS score, BMI, and circumference of the waist and hip presented a significant association with STOP-Bang score ≥ 3 (p < 0.05). The metabolic equivalents of task (METs) for total physical activity and walking (min/week), time spent sitting (h/day), lipid profiles, smoking history, vehicle type, and shift type were statistically similar in both groups. In the multivariate analysis, a high risk of OSA was independently associated with higher FRS (odds ratio: 1.92; p < 0.001). Conclusion The STOP-Bang score presented a direct correlation with the estimated ten-year CVD risk in CMV drivers. The high risk of developing OSA among CMV drivers is accompanied by higher CVD risk factors such as old age, diabetes, hypertension, BMI, and waist and hip circumference. The FRS was statistically higher in CMV drivers with high OSA risk. Received: 08 November 2021 Accepted: 31 January 2024 Article published online: 15 May 2024 © 2024. Brazilian Sleep Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/) Thieme Revinter Publicações Ltda. Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil

Coronavirus disease of 2019 (COVID-19) pandemic originated from Wuhan in December 2019 and has been spread in whole China and the world. Worldwide outbreaks of COVID-19 triggered a large number of morbidities and mortalities beside its economic and social burdens, which are discussed a lot, in scientific literature and different types of media. As a sleep medicine specialist, we may wonder how we can be involved in this field. In this short theoretical essay, we will discuss about the known facts as well as the hypotheses, which associate the sleep medicine to COVID-19. The discussed points may provide a source of research ideas throughout the world for better understanding of novel coronavirus-19 that has devastating effects on humanity.

Diabetes remains a significant global health burden, with sleep breathing disorders increasingly implicated in its development and progression. In this study, we aimed to assess the relationship between glycemic indices and polysomnography (PSG) parameters among patients referred to a sleep clinic in Iran. We retrospectively studied adults at the Baharloo Hospital sleep clinic who completed overnight PSG and a recent metabolic panel, as well as validated questionnaires on sleepiness, obstructive sleep apnea (OSA) risk, and insomnia, between March 2024 and March 2025. We examined associations using Pearson correlations and adjusted linear regression models. A total of 409 participants (115 females) were included. Correlation analyses revealed that higher HbA1c and fasting blood glucose (FBS) were associated with worse nocturnal oxygenation profiles, with HbA1c showing a more selective pattern. Moreover, after adjusting for confounding factors, higher HbA1c was independently associated with lower mean nocturnal oxygen saturation (beta = -0.159, p = 0.013) and lower non-REM oxygen saturation (beta = −0.179, p = 0.007). Meanwhile, higher FBS was independently associated with lower average oxygen saturation during wake (beta = −0.688, p = 0.018) and during REM sleep (beta = −0.890, p = 0.001). Our study highlights the relationship between glycemic measures and sleep parameters in a relatively large population of Iranian sleep clinic patients. More studies are needed to unravel the association between diabetes and sleep breathing disorders to identify their shared mechanisms.

The article's abstract is not available.