Her research interests include well-being of adults and adolescents, gratitude, teamwork, happiness, optimism, emotional intelligence and prevention and intervention approaches.Carles Alsinet is a social psychology professor and director of the Social Innovation Chair (SIC) at the University of Lleida, Spain. He received his PhD in psychology from the University of Lleida, Spain. The topics of his research are well-being, quality of life and social health of adults and adolescents. As a social consultant, he's currently developing intervention programs based on self-centered approaches to increase people's well-being.

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The COVID-19 outbreak entailed radical shifts to individuals’ daily habits that challenged their subjective well-being (SWB). Knowledge about the impact of COVID-19 on SWB is paramount for developing public policies to tackle mental health during health emergency periods. Decreases in life satisfaction are likely not only due to exposure to daily negative emotions but also due to hopelessness, fear, and avoidance of social interactions. We examined in a sample of 541 Spanish adults (1) reactions to the COVID-19 outbreak and (2) the mediating role of these reactions in the associations of hope and social phobia with life satisfaction through different levels of positive and negative affect. A moderated mediation analysis showed that the conditional indirect effect of hope and social anxiety on life satisfaction through information depended on the participants’ having high positive affect and low negative affect. Affect seems to be a mechanism that modulates the influence of individuals’ perception about COVID-19 on their life satisfaction. Those with high positive affect might see the “general picture” and search for adequate information as they avoid focusing on the problem and on specific information that precludes preventive behaviors. Having a positive affect might help individuals to adopt information-processing strategies during the COVID-19 outbreak that will improve their life satisfaction.

Emotional intelligence (EI) plays a key role in the adjustment of adolescents during this transitional life period. The accumulated evidences suggest that EI is associated with happiness, considered the affective component of subjective well-being and optimism and pessimism, considered cognitive mechanisms to expect either a brighter or darker future. In spite of the relevance of the relationship between EI, happiness, optimism, and pessimism, the majority of the research falls behind findings with adult samples, accumulating little knowledge in the context of adolescence. Furthermore, the measurement of EI has been recently challenged by the introduction of the bifactor model into the study of EI. The goal of the current study was to explore the association of EI with happiness, optimism, and pessimism in adolescence by introducing the bifactor EI model. The participants were 493 Spanish high-school students ranging from 14 to 18 years old (52.7% females) who completed self-report questionnaires. The results demonstrated that the bifactor EI model with an e-factor (general EI factor) and three emotional dimensions (emotional attention, emotional clarity, and emotional regulation) also represented the best well-fitted structure in adolescence. Most remarkably, results suggested that general EI and emotional regulation predicted positively happiness and optimism, while emotional attention predicted positively pessimism and negatively happiness. These results highlight the importance of the measurement of EI in the study of associated outcomes that are considered relevant during the period of adolescence. Hence, the specific role of the EI dimensions are important when explaining the relationship of EI with happiness, optimism, and pessimism.

The COVID-19 pandemic has constituted a global health crisis that has threatened the mental health of individuals worldwide. The present paper sought to systematically review and meta-analyze studies reporting the prevalence during the COVID-19 pandemic of well-being and psychological distress as defined by the dual-continua model, which includes (absence of) psychological distress and (presence of) well-being among the general population and healthcare workers. Systematic searches were conducted in various databases: PubMed, PsycINFO, Scopus, and Web of Science from inception until 6 December 2020. From a total of 158 studies (N = 880,352) included in the meta-analysis, only seven reported the prevalence of well-being. A random-effect model was used to estimate the pooled prevalence among the general population and healthcare workers on depression (25%; 31%), anxiety (27%; 31%), stress (35%; 32%), and well-being (52%; 45%), respectively. Sub-group analyses based on region, income, percentage of women, preparedness of country to respond to COVID-19, and economic vulnerabilities were conducted in order to examine sources of heterogeneity in psychological distress. Results revealed differences among the two groups and indicated that disparities in terms of preparedness to fight the pandemic can distinctly affect mental health in the general population and healthcare workers. Addressing mental health during and after a health crisis should be in the spotlight of the international and national public health agenda. Considering the protective role of well-being to minimize psychological symptoms, mental health policies during the COVID-19 should include strategies to combat the psychological consequences of the pandemic by promoting well-being practices.