Changes in the Lifestyle in Spanish University Population during the Confinement for COVID-19

(1) Background: The aim of this study was to evaluate the influence of the lockdown due to COVID-19 pandemic, eating and physical activity behaviours, in a University population. A healthy diet such as the Mediterranean Diet (MD) pattern, rich in fruit and vegetables can prevent degenerative diseases such as obesity, diabetes, cardiovascular diseases, etc. (2) Methods: We conducted a cross-sectional study, data were collected by an anonymous online questionnaire. Participants completed a survey consisting of 3 sections: sociodemographic data; dietary and physical activity behaviour; questionnaire of the Mediterranean Diet (MEDAS-14) and the emotional eater questionnaire Garaulet (EEQ). (3) Results: A total of 168 participants completed the questionnaire 66.7% women, from Spain 79.2%, 76.8% students, living in family home 76.2% and in normal weight 66.1% . Our population did the grocery 1 or less per week (76.8%); decreased or stay the same the consumption of fruits (57.1%), vegetables (58.9%), dairy products (74.4%), pulses (73.2%), fish/seafood (76.8%), white meat (83.3%), red and processed meat (91.1%), snacks (78.6%), rice/pasta/potatoes (78.6%), nuts (83.9%), low alcohol drinks (89.3%), spirits (98.8%) and sugary drinks (91.7%) . Increased cooking time (73.2%) and decreased or stay the same their physical activity (63.7%). University Employees increased more weight (1.01±0.02) than students (0.99±0.03) (p<0.05). 79.8% of the participant obtained a Medium/High Adherence to the MD. Emotional and very emotional eaters were higher in women group (p<0.01). (4) Conclusions: In the event of further confinement, strategies should be implemented to promote a balanced and healthy diet together with the practice of physical activity, taking special care of the group of women and University Employees.

Analysis of Fear Post COVID in First-Year Students after the Incorporation to the Classroom: Descriptive Study in University Students of Health Sciences

Background: After the onset of the COVID-19 pandemic, social restriction measures were implemented, among them, the adaptation of university teaching to online modality until the end of the 2019–2020 school year in order to stop the spread of the SARS-CoV-2 virus. At the beginning of the 2020–2021 school year, the Spanish universities opted for face-to-face teaching. To that end, different special measures and adaptations were implemented in higher education facilities, aimed at minimizing the risk of infection and ensuring safe face-to-face learning. The objective was to explore and describe the level of fear of first-year students after the start of in-person classes in the context of the COVID-19 pandemic. Methods: The sample was 185 first-year students who were evaluated on the first day of class. For that purpose, an ad-hoc questionnaire was administered to collect demographic information and to find the level of fear and concern. The Fear of COVID-19 Scale was used to assess the severity of the participants’ fear of the pandemic situation. Results: The results indicate that participating university population does not report fear of the virus, but they describe various psychosomatic characteristics, such as increased pulse rate and heart palpitations (p = 0.008) and insomnia (p = 0.05) when they think about infection with coronavirus. Nevertheless, when data are disaggregated by gender, we observe differences specifically in women (83.2%), such as fear (p = 0.006) and sweaty hands when they think of the virus (p = 0.023). Conclusions: Incoming university freshmen do not express concern or fear of potential infection with COVID-19, but they are concerned about family transmission after beginning face-to-face classes.

Measuring anxiety related to COVID-19: Factor analysis and psychometric properties of the Arabic Coronavirus Anxiety Scale

Literature reports that fear and anxiety related to the coronavirus (COVID-19) pandemic may be a significant factor in promoting adherence to health-protective behaviours. This study aimed to validate an Arabic version of the Coronavirus Anxiety Scale (CAS). Participants aged 18 to 58 years of age were recruited from a university population (students and staff) as well as via social media from 22 June to 18 July 2020 when the United Arab Emirates was under a partial government-instituted lockdown. They completed Arabic versions of the CAS and the Fear of COVID-19 Scale. A confirmatory factor analysis produced a unidimensional structure and all items satisfactorily loaded onto this single factor (i.e., the physiological symptoms of fear and anxiety related to coronavirus). The Arabic CAS was internally consistent and concurrently valid. These preliminary findings suggest that the Arabic CAS is a valid and reliable instrument to employ in the assessment of dysfunctional anxiety related to coronavirus. The availability of this validated measure will enable the further conduct of a variety of mental health studies in relation to the COVID-19 pandemic. It also holds clinical utility as a potential screening measure for those afflicted by anxiety symptomology during the pandemic.

Limited impact of contact tracing in a University setting for COVID-19 due to asymptomatic transmission and social distancing

Contact tracing is an important tool for controlling the spread of infectious diseases, including COVID-19. Here, we investigate the spread of COVID-19 and the effectiveness of contact tracing in a university population, using a data-driven ego-centric network model constructed with social contact data collected during 2020 and similar data collected in 2010. We find that during 2020, university staff and students consistently reported fewer social contacts than in 2010, however those contacts occurred more frequently and were of longer duration. We find that contact tracing in the presence of social distancing is less impactful than without social distancing. By combining multiple data sources, we show that University-aged populations are likely to develop asymptomatic COVID-19 infections. We find that asymptomatic index cases cannot be reliably back-traced through contact tracing and consequently transmission in their social network is not significantly reduced through contact tracing. In summary, social distancing restrictions had a large impact on limiting COVID-19 outbreaks in universities; to reduce transmission further contact tracing should be used in conjunction with alternative interventions.

Gender identity and nonbinary pronoun use

This study contributes to the emerging literature on gender identity and pronoun use by exploring strategies to refer to unknown human referents. In an online survey involving mainly a university population aged 29 and below, participants were first asked to pick a potential roommate from two fictional characters with gender-ambiguous names and write short answers explaining their choice. Secondly, participants were explicitly asked what pronoun they would use to refer to an unknown human referent from a list of neopronouns in addition to singular they. The results show a strong association between participants’ self-identified gender and the gendered pronoun used. The results also show singular they is the most popular gender-inclusive pronoun for an unknown individual while pronoun avoidance strategies include repeating names and using generic nouns. Additionally, the reflexive form themself is preferred over themselves for unknown human referents, in contrast to previous research showing almost the same rate of naturalness for themselves and themself in the specific-reference context.

University students' evaluation of E-assessment in light of the Coronavirus Pandemic

Educational institutions strive to achieve their purposes mainly assessing students’ performance and abilities; they might use traditional types of assessment or they may be forced to apply electronic assessment in certain situations such as those dictated by the current spread of COVID-19 Pandemic. The current study aims at providing insights into the ways and levels of university students' evaluation of the electronic assessment during the global health crisis whether this evaluation is affected by certain demographic variables or not. A 29-item online questionnaire was developed and conducted by the researchers to survey a large sample of university population. A large number of the students (n=582) responded to the survey. The study results show that the level of students’ evaluation of e-assessment is moderate. The researchers also find that an interaction between gender and faculty may influence students’ evaluation positively and negatively. The implications of the study suggest that educational institutions should consider all types of assessment mainly e-assessment to keep pace with all advancements and evade unexpected circumstances like pandemics. Keywords: assessment; Corona Pandemic; e-assessment; e-learning; evaluation; learning; teaching

Estimating data-driven COVID-19 mitigation strategies for safe university reopening

After one pandemic year of remote or hybrid instructional modes, universities in the United States are now planning for an in-person fall semester in 2021. However, it is uncertain what the vaccination rate will look like after students, faculty, and staff return to campus. To help inform university-reopening policies, we collected survey data on social contact patterns and developed an agent-based model to simulate the spread of COVID-19 in university settings. In this paper, we aim to identify the immunity threshold that, if exceeded, would lead to a relatively safe on-campus experience for the university population. With relaxed non-pharmaceutical interventions, we estimated that immunity in at least 60% of the university population is needed for safe university reopening. Still, attention needs to be paid to extreme events that could lead to huge infection size spikes. At an immune level of 60%, continuing non-pharmaceutical interventions, such as wearing masks, could lead to an 89% reduction in the maximum cumulative infection, which reflects the possible non-negligible infection size from extreme events.