Loneliness, ageism, and mental health: The buffering role of resilience in seniors

Introduction Ageism and loneliness are two relevant public health phenomena because of their negative impact on the senior's mental health. With the increase in average life expectancy, these tend to co-occur, which may increase the psychological distress (PD) of seniors. Resilience has been shown to be an important protective factor of seniors mental health, although its potential buffering role of public health risk factors with cumulative impact on mental health, such as loneliness and ageism, needs to be more studied. Aim To assess the potential mediator role of resilience between the effects of ageism and loneliness on PD in seniors. Methods A sample of 349 Portuguese seniors aged 60 years and over was collected through an online survey and during the COVID-19 pandemic period. Seniors completed the Kessler Psychological Distress Scale (K6), the Short-Form of UCLA Loneliness Scale (USL-6), the Ambivalent Ageism Scale (AAS) and the Connor-Davidson Resilience Scale (CD-RISC-10). A mediation analysis model was developed with resilience as a mediating variable. Results There were moderate to high levels of PD and moderate levels of ageism, loneliness and resilience. Resilience fully mediated the effect of ageism on PD and partially mediated the effect of loneliness on PD. Conclusions Resilience was an important protective factor of mental health against the effects of ageism, and partially protected mental health from the effects of loneliness among seniors. It is suggested that resilience be considered as a factor to be integrated in future intervention programs for mental health. The practical applicability of this study is discussed.

Evaluation of UV-C Radiation Efficiency in the Decontamination of Inanimate Surfaces and Personal Protective Equipment Contaminated with Phage ϕ6.

To help halt the global spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), appropriate disinfection techniques are required. Over the last years, the interest in Ultraviolet-C (UV-C) radiation as a method to disinfect inanimate surfaces and personal protective equipment (PPE) has increased, mainly to efficiently disinfect and prevent SARS-CoV-2 from spreading and allow for the safe reuse of said equipment. The bacteriophage ϕ6 (or simply phage ϕ6) is an RNA virus with a phospholipid envelope and is commonly used in environmental studies as a surrogate for human RNA-enveloped viruses, including SARS-CoV-2. The present study investigated the use of two new UV irradiation systems ((2)2.4W and (8)5.5W)) constituted by conventional mercury UV-C lamps with a strong emission peak at ~254 nm to potentially inactivate phage ϕ6 on different surfaces (glass, plastic, stainless steel, and wood) and personal protective equipment, PPE, (surgical and filtering facepiece 2, FFP2, masks, a clear acetate visor, and disposable protective clothing). The results showed that both UV-C systems were effective in inactivating phage ϕ6, but the UV-C sterilizing chamber (8)5.5W had the best disinfection performance on the tested surfaces. The inactivation effectiveness is material-dependent on all surfaces, reaching the detection limit of the method at different times (between 60 and 240 s of irradiation). The glass surface needed less time to reduce the virus (30 s) when compared with plastic, stainless, and wood surfaces (60 s). The virus inactivation was more effective in the disposable surgical and FFP2 masks (60 and 120 s, respectively) than in the disposable vest and clear acetate visor (240 s). Overall, this study suggests that UV-C lamps with peak emission at ~254 nm could provide rapid, efficient, and sustainable sanitization procedures to different materials and surfaces. However, dosage and irradiation time are important parameters to be considered during their implementation as a tool in the fight against human coronaviruses, namely against SARS-CoV-2.

Acute ischemic stroke and COVID-19 pandemic in Brazil: a comparative study of frequency and risk factors before and during SARS-CoV-2 era.

BACKGROUND: COVID-19 pandemic directly impacted the request for hospital care and medical assistance for several diseases worldwide, as occurred with acute ischemic stroke. The present study sought to compare the incidence and severity of acute ischemic stroke (AIS), in addition to sociodemographic, clinical, and radiological characteristics of patients hospitalized in the prepandemic (2018-2019) and pandemic (2020-2021) eras. METHODS: An incidence case-control, observational, and analytical research was carried out in the Stroke Unit of Hospital Governador Celso Ramos, Florianopolis, Santa Catarina, Brazil, including 171 patients admitted with acute ischemic stroke from April 2018 to April 2019 (prepandemic era) and 148 patients between January 2020 and January 2021 (during pandemic). RESULTS: The mean incidence of AIS hospital admissions was significantly lower in the pandemic period (CI 95%, 0.2 to 5.6; p = 0.04), being lower in the lockdown periods and when the incidence of new COVID-19 cases increased. Besides, referring to AIS severity, the mean areas of AIS were larger during the pandemic period (p < 0.01), especially in August, September, December, and January (p < 0.05). Sociodemographic and clinical variables did not show any difference between the two periods of the study. CONCLUSIONS: Hospital admissions for AIS decreased in the COVID-19 pandemic, mostly during months of higher incidences of new COVID-19 cases. When the incidence of admissions diminished, an increase in the severity of AIS was observed, characterized by larger areas. These findings might contribute to other similar referral centers in managing public policies related to stroke.

Advanced In Vitro Lung Models for Drug and Toxicity Screening: The Promising Role of Induced Pluripotent Stem Cells.

The substantial socioeconomic burden of lung diseases, recently highlighted by the disastrous impact of the coronavirus disease 2019 (COVID-19) pandemic, accentuates the need for interventive treatments capable of decelerating disease progression, limiting organ damage, and contributing to a functional tissue recovery. However, this is hampered by the lack of accurate human lung research models, which currently fail to reproduce the human pulmonary architecture and biochemical environment. Induced pluripotent stem cells (iPSCs) and organ-on-chip (OOC) technologies possess suitable characteristics for the generation of physiologically relevant in vitro lung models, allowing for developmental studies, disease modeling, and toxicological screening. Importantly, these platforms represent potential alternatives for animal testing, according to the 3Rs (replace, reduce, refine) principle, and hold promise for the identification and approval of new chemicals under the European REACH (registration, evaluation, authorization and restriction of chemicals) framework. As such, this review aims to summarize recent progress made in human iPSC- and OOC-based in vitro lung models. A general overview of the present applications of in vitro lung models is presented, followed by a summary of currently used protocols to generate different lung cell types from iPSCs. Lastly, recently developed iPSC-based lung models are discussed.

Diagnostic of Data Processing by Brazilian Organizations—A Low Compliance Issue

In order to guarantee the privacy of users’ data, the Brazilian government created the Brazilian General Data Protection Law (LGPD). This article made a diagnostic of Brazilian organizations in relation to their suitability for LGPD, based on the perception of Information Technology (IT) practitioners who work in these organizations. We used a survey with 41 questions to diagnose different Brazilian organizations, both public and private. The diagnostic questionnaire was answered by 105 IT practitioners. The results show that 27% of organizations process personal data of public access based on good faith and LGPD principles. In addition, our findings also revealed that 16.3% of organizations have not established a procedure or methodology to verify that the LGPD principles are being respected during the development of services that will handle personal data from the product or service design phase to its execution and 20% of the organizations did not establish a communication process to the personal data holders, regarding the possible data breaches. The result of the diagnostic allows organizations and data users to have an overview of how the treatment of personal data of their customers is being treated and which points of attention are in relation to the principles of LGPD.

The COVID-19 pandemic as a socio-scientific issue: contributions from the NUTES Institute for teachers and students of Basic Education

This paper deals with the COVID-19 pandemic from the perspective of socio scientific issues. It presents the development of a website aimed at addressing conceptual, historical, economic and socio-political aspects of the pandemic, in a contextualized and interdisciplinary way. It mobilized a group of schoolteachers, undergraduate and graduate students who analyzed controversies and fake news around the pandemic, defined criteria for selection of materials, and proposed motivating questions and educational activities in the production of a web page addressed to basic education science teachers. The site clarifies aspects related to the pandemic and supports curricular approaches to the theme in times of social isolation.

On the Progression of COVID-19 in Portugal: A Comparative Analysis of Active Cases Using Non-linear Regression.

Portugal is often portrayed as a relatively successful case in the control of COVID-19's March 2020 outbreak in Europe due to timely confinement measures, commonly referred to as the "lockdown". As in other European Union member states, by late April, Portugal was preparing the phased loosening of such measures scheduled for the beginning of May. Despite a modest reduction in infection rates by that time, there was insufficient data to reliably forecast imminent scenarios. Using the South Korea data as scaffold, which became a paradigmatic case of recovery following a high number of infected people, we fitted the Portuguese data to biphasic models using non-linear regression and compared the two countries. The models, which yielded a good fit, showed that recovery would be slow, with over 50% active cases months after the lockdown. These findings acted at the time as a warning, showing that a high number of infected individuals, together with an unknown number of asymptomatic carriers, could increase the risk of a slow recovery, if not of new outbreaks. A month later, the models showed more favorable outcomes. However, shortly after, as the effects of leaving the lockdown became evident, the number of infections began rising again, leaving Portugal in a situation of inward and outward travel restrictions and baffling even the most conservative forecasts for the clearing of the pandemic.