The association between probable post-COVID-19 condition and sleep-related parameters: a longitudinal study of non-hospitalised patients.

The long-term effects of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection on sleep remain poorly known. We evaluated the association between probable post-COVID-19 condition and changes in sleep quality and quantity before and after SARS-CoV-2 infection in a consecutive sample of non-hospitalized adults. Individuals were identified with SARS-CoV-2 infection in 2020 at the central laboratory of a tertiary hospital in Porto and followed as outpatients. We included patients diagnosed with SARS-CoV-2 infection ≥3 months before this evaluation, with no missing data on key variables (n = 2445). Participants completed a questionnaire that included sociodemographic, clinical, and infection-related questions. We computed changes in sleep-related parameters referred to 1 month before diagnosis and 1 week before the questionnaire. Multinomial logistic regression models were fitted to compute crude and adjusted odds ratios and 95% confidence intervals (95% CIs). Compared to the pre-infection period, those with probable post-COVID-19 condition reported a greater decrease in hours of sleep, had a 2.60 (95% CI 2.02-3.34) higher adjusted odds of perceiving their sleep quality as worsened and experienced a significant increase in number of days with sleeping disturbances as defined according to multiple items. The association between post-COVID-19 condition and indicators of poor sleep health requires special attention from healthcare professionals and services. It is essential that appropriate multidisciplinary care is provided to mitigate the physical, psychological, social, and professional impact of sleeping problems in these already burdened patients.

A lower energy intake contributes to a better cardiometabolic profile in adolescence: Data from the EPITeen cohort.

Caloric restriction has been associated with improved cardiometabolic health. Available data in humans are commonly based on short follow-up periods, specific diets, or population groups. We hypothesized that participants of a population-based cohort (Epidemiological Health Investigation of Teenagers in Porto) with a dietary pattern characterized by a lower energy intake during adolescence have a better cardiometabolic profile in adolescence and young adulthood than other dietary patterns. At aged 13 and 21 year evaluations, diet, anthropometric, and cardiometabolic measures were assessed. Diet was assessed through a food frequency questionnaire and, at 13 years, summarized in dietary patterns identified by cluster analysis. The lower intake dietary pattern included 40% of the participants. The energy intake misreport was estimated using the Goldberg method. Analysis of variance and analysis of covariance were used to compare cardiometabolic risk factors according to dietary patterns. The mean energy intake was 2394 and 2242 Kcal/d for the total sample at aged 13 years (n = 962) and 21 years (n = 862), respectively. Those belonging to the lower intake dietary pattern showed a 25% and 5% lower energy intake, respectively. In the cross-sectional analysis at aged 13, adolescents belonging to the lower intake dietary pattern presented lower glucose, insulin, triglycerides, and blood pressure values after adjusting for body mass index and parents' education level. Among the plausible reporters, differences were only statistically significant for glucose and systolic blood pressure. Our data support that a dietary pattern characterized by a lower energy intake may contribute to a better cardiometabolic profile in adolescents. However, no significant effect was found in young adulthood.

Incidence of SARS-CoV-2 infection in a cohort of workers from the University of Porto, Portugal.

BACKGROUND: Repeated serosurveys in the same population provide more accurate estimates of the frequency of SARS-CoV-2 infection and more comparable data over time than notified cases. We aimed to estimate the incidence of SARS-CoV-2 infection, identify associated factors, and assess time trends in the ratio of serological/molecular diagnosis in a cohort of university workers. METHODS: Participants had a serological rapid test for SARS-CoV-2 immunoglobulins M and G, and completed a questionnaire, in May-July 2020 (n = 3628) and November 2020-January 2021 (n = 2661); 1960 participated in both evaluations and provided data to compute the incidence proportion and the incidence rate. Crude and adjusted incidence rate ratios (aIRR) and 95% confidence intervals (CI) were computed using generalized linear models with Poisson regression. RESULTS: The incidence rate was 1.8/100 person-months (95% CI: 1.5-2.0), and the 6 months' cumulative incidence was 10.7%. The serological/molecular diagnosis ratio was 10:1 in the first evaluation and 3:1 in the second. Considering newly identified seropositive cases at the first (n = 69) and second evaluation (n = 202), 29.0% and 9.4% never reported symptoms, respectively, 14.5% and 33.3% reported contact with a confirmed case and 82.6%, and 46.0% never had a molecular test. Males (aIRR: 0.61; 95% CI: 0.44-0.85) and 'high-skilled white-collar' workers (aIRR: 0.74, 95% CI: 0.53-1.04) had lower risk of infection. CONCLUSION: University workers presented a high SARS-CoV-2 incidence while restrictive measures were in place. The time decrease in the proportion of undiagnosed cases reflected the increased access and awareness to testing, but opportunities continued to be missed, even in the presence of COVID-19-like symptoms.

The SARS-CoV-2 Infection Among Students in the University of Porto: A Cross-Sectional Study.

Objective: We aimed to quantify SARS-CoV-2 specific antibodies' seroprevalence among university students in Porto. Methods: A rapid point of care testing for SARS-CoV-2 specific immunoglobulin (Ig) M and IgG antibodies was performed, and a questionnaire was applied to 6512 voluntary students from September to December 2020. We computed the apparent IgM, IgG, and IgM or IgG prevalence, and the true prevalence and 95% credible intervals (95% CI) using Bayesian inference. Results: We found an apparent prevalence (IgM or IgG) of 9.7%, the true prevalence being 7.9% (95% CI 4.9-11.1). Prevalence was significantly higher among males (10.9% vs. 9.2%), international students (18.1% vs. 10.4% local vs. 8.8% nationally displaced), and increased with age. Those with a known risk contact, that experienced quarantine, had symptoms, or a previous negative molecular test had a higher seroprevalence. Of the 91 (1.4%) students who reported a molecular diagnosis, 86.8% were reactive for IgM or IgG. Conclusion: Based on immunological evidence infection was 5.6-fold the reported molecular diagnosis. The higher seroprevalence among male, older, and international students emphasizes the importance of identifying particular groups.

Medical Liability of the Vaccinating Doctor: Comparing Policies in European Union Countries during the COVID-19 Pandemic.

In 2020, the COVID-19 pandemic exhausted healthcare systems around the world, including European Union countries, with healthcare workers at the frontline. Therefore, new health laws and policies have been introduced at the national level in order to offer greater legal protection for health workers. Since the introduction of COVID-19 vaccination, it has led to the development of specific laws to define the compulsoriness for particular categories. This review aimed to evaluate the system of medical liability, focusing on the ten countries of the European Union with the highest rate of vaccination coverage against SARS-CoV-2. A country-by-country analysis was conducted on the different medical liability systems of individual professionals, in general, and with specific focus on the vaccinating doctors. Additional search was conducted to investigate which European states have introduced specific policies in this field, to identify the implementation of any new laws alongside the COVID-19 vaccination campaigns, and to assess which countries have adopted the European Digital COVID Certificate and funded specific compensation programs for COVID-19 vaccination. Our results highlight an extremely fragmented European scenario; therefore, this work could be a starting point to define a common approach for medical liability and related policies in the COVID-19 pandemic.