Effective management of the global pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (also known as COVID-19), resulted in the implementation of severe restrictions in movement and enforcement of social distancing measures. This study aimed to understand and characterize the psychosocial effects of the COVID-19 pandemic in the general population and to identify risks and protective factors that predict changes in mental health status. In addition, the study investigated compliance with precautionary measures (PM) to halt the spread of the virus. The online anonymous survey collected information on sociodemographic data, compliance with PM, quality of life (QOL), and mental health via the Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9). A total of 1642 adult participants (71.6% women, 28.4% men) completed the survey in the European island country, Cyprus. A large percentage (48%) reported significant financial concerns and 66.7% significant changes in their QOL. About 41% reported symptoms associated with mild anxiety; 23.1% reported moderate-severe anxiety symptoms. Concerning depression, 48% reported mild and 9.2% moderate-severe depression symptoms. Women, younger age (18–29), student status, unemployment status, prior psychiatric history, and those reporting greater negative impact on their QOL, were at higher risk for increased anxiety and depression symptoms (p < 0.05). The youngest age group and males also reported lower levels of compliance with PM. Higher compliance with PM predicted lower depression scores (p < 0.001) but higher anxiety for measures related to personal hygiene. The results of this study provide important data on the effects of the COVID-19 outbreak on mental health and QOL and identify a variety of personal and social determinants that serve as risks and protective factors. Furthermore, it has implications for policy makers demonstrating the need for effective mental health programs and guidance for the implementation of PM as a public health strategy.

Background and Objectives: There is strong evidence in the literature that women experience psychological disorders at significantly higher rates than men. The higher rates of psychological disorders in women may partly be attributable to gender differences in response to stressors and coping styles. The objective of this study was to contribute to the growing body of literature investigating gender differences in mental health outcomes and coping styles during the coronavirus disease 2019 pandemic in a large sample of individuals from 59 countries with variable demographic and socio-cultural characteristics. Materials and Methods: Survey data were collected from the general population following a snowball sampling method, and the survey was promoted through social media platforms and mailing lists. Participants included 6882 individuals from the general population from 59 countries around the world. A combination of both standardized and adapted measures was used to create a survey, originally in English and then translated to Spanish, Italian, French, German, and Turkish. Results: Compared with men, women presented with higher levels of trauma-related distress; had a harder time decompressing; were more depressed, anxious and stressed; showed decreased frustration tolerance and reported lower quality of sleep and an increased likelihood of taking sleep medication or other natural sleep remedies. Overall, women tended to be more vulnerable during the pandemic in developing symptoms consistent with various forms of mental disorders such as depression, anxiety and post-traumatic distress. However, they also were more likely than men to use a variety of adaptive coping strategies, including concentrating on doing something about the situation and getting emotional support from others. Conclusions: A high prevalence of mood symptoms was noted among women. In addition to meeting the physical health needs of the population, emphasis needs to be given to mental health and the prevention of psychiatric disorders, particularly in women.

The ability to anticipate the population-wide response of a target audience to a new movie or TV series, before its release, is critical to the film industry. Equally important is the ability to understand the underlying factors that drive or characterize viewer’s decision to watch a movie. Traditional approaches (which involve pilot test-screenings, questionnaires, and focus groups) have reached a plateau in their ability to predict the population-wide responses to new movies. In this study, we develop a novel computational approach for extracting neurophysiological electroencephalography (EEG) and eye-gaze based metrics to predict the population-wide behavior of movie goers. We further, explore the connection of the derived metrics to the underlying cognitive processes that might drive moviegoers’ decision to watch a movie. Towards that, we recorded neural activity—through the use of EEG—and eye-gaze activity from a group of naive individuals while watching movie trailers of pre-selected movies for which the population-wide preference is captured by the movie’s market performance (i.e., box-office ticket sales in the US). Our findings show that the neural based metrics, derived using the proposed methodology, carry predictive information about the broader audience decisions to watch a movie, above and beyond traditional methods. In particular, neural metrics are shown to predict up to 72% of the variance of the films’ performance at their premiere and up to 67% of the variance at following weekends; which corresponds to a 23-fold increase in prediction accuracy compared to current neurophysiological or traditional methods. We discuss our findings in the context of existing literature and hypothesize on the possible connection of the derived neurophysiological metrics to cognitive states of focused attention, the encoding of long-term memory, and the synchronization of different components of the brain’s rewards network. Beyond the practical implication in predicting and understanding the behavior of moviegoers, the proposed approach can facilitate the use of video stimuli in neuroscience research; such as the study of individual differences in attention-deficit disorders, and the study of desensitization to media violence.

The study tested the cognitive reserve hypothesis by quantifying cognitive reserve (CR) and subsequently determining its role in executive function and verbal episodic memory performance. A neuropsychological battery was administered to 383 Greek-Cypriot older adults. A multiple indicators multiple causes (MIMIC) latent construct was utilized to define CR incorporating three indicators: years of education, vocabulary, and reading performance. Findings from two structural equation models supported the moderating role of CR in reducing the direct negative effect of age on verbal episodic memory and on executive function. The study illustrates a parsimonious way of defining CR and provides empirical support for the CR hypothesis.