Studies investigating the COVID-19 pandemic from a psychological point of view have mostly focused on psychological distress. This study adopts the framework of existential positive psychology, a second wave of positive psychology that emphasizes the importance of effective coping with the negative aspects of living in order to achieve greater wellbeing. Trait emotional intelligence (trait EI) can be crucial in this context as it refers to emotion-related personality dispositions concerning the understanding and regulation of one’s emotions and those of others. The present study investigated the relationship between trait EI and both wellbeing and psychological distress (i.e., depression, anxiety, and stress), while exploring the mediating role of meaning-centered coping (proactive transformative strategies based on meaning in life) and maladaptive coping (i.e., behavioral disengagement and self-blame) during the first few months of the COVID-19 pandemic. A sample of 326 Lebanese adults completed measures of trait EI, wellbeing, psychological distress, coping, and meaning-centered coping. Results showed a strong positive correlation between trait EI and meaning-centered coping. Trait EI also correlated positively with wellbeing and negatively with psychological distress. Structural equation modeling showed that meaning-centered coping partially mediated the relationship between trait EI and wellbeing. Maladaptive coping fully mediated the relationship between trait EI and psychological distress. Findings indicate that trait EI is positively related to dealing with a stressful situation such as the pandemic in positive ways at both the cognitive level, by reformulating the situation to see something valuable in it, and behavioral level, by being proactive about it. Trait EI was positively linked to seeing the situation as an opportunity for personal growth, finding personal meaning in this situation, maintaining an attitude of hope and courage, and acting more responsibly with one’s self and others during the current crisis. In turn, this coping formula was related to lower psychological distress and improved mental health. These results are consistent with the existential positive psychology framework and can inform implementation programs and policies aiming at raising awareness and promoting healthy and successful coping during the pandemic.

No abstract

We study a stochastic differential equation driven by a Poisson point process, which models continuous changes in a population's environment, as well as the stochastic fixation of beneficial mutations that might compensate for this change. The fixation probability of a given mutation increases as the phenotypic lag X t between the population and the optimum grows larger, and successful mutations are assumed to fix instantaneously (leading to an adaptive jump). Our main result is that the process is transient (i.e., continued adaptation is impossible) if the rate of environmental change v exceeds a parameter m, which can be interpreted as the rate of adaptation in case every beneficial mutation gets fixed with probability 1. If v < m, the process is positive recurrent, while in the limiting case m = v, null recurrence or transience depends upon additional technical conditions. We show how our results can be extended to the case of a time varying rate of environmental change.

Background: To date, there has been a dearth of research on health literacy in the Eastern Mediterranean Region and in particular Lebanon. Objectives: This cross-sectional study assessed the levels and correlates of health literacy in Lebanese adults. Methods: A total of 587 participants (54.5% women) were recruited from the outpatient clinics of five health facilities in Beirut. The questionnaire consisted of the Arabic version of the Functional Health literacy Scale, the Arabic short version of the European Health Literacy Survey, and questions on sociodemographic and health-related factors. Descriptive and inferential statistics were performed to assess the association of these factors with functional health literacy (FHL) and comprehensive health literacy (CHL) levels. Key Results: About 65.8% had inadequate or problematic FHL and 43.8% had inadequate or problematic CHL. Although FHL was negatively correlated with long-term illness, it was positively correlated with ability to pay and health status. CHL was positively correlated with education, income, ability to pay for treatment, health status, and FHL level, whereas it was negatively correlated with long-term illness. Binary logistic regression showed that low education, low socioeconomic status, and being a widow were predictive of inadequate FHL. Moreover, having inadequate FHL and low income increased the likelihood of having inadequate CHL. Conclusion: This study has identified those with risk factors for inadequate health literacy and unfavorable health outcomes. A national action plan can guide the promotion of health literacy and its embeddedness in society to instill competencies and the environment that would eliminate health inequities and sustain health in Lebanon. [ HLRP: Health Literacy Research and Practice . 2021;5(4):e295–e309.] Plain Language Summary: This study examined health literacy levels and correlates in 587 Lebanese adults using two recognized screening tools. The first tool measured functional health literacy (FHL), which represents the ability of a person to acquire information on health through reading or writing. The second tool assessed comprehensive health literacy (CHL), which encompasses the ability of a person to use their social skills to acquire health information from different media and make appropriate health decisions based on this information. Close to two-thirds of the participants had inadequate or problematic FHL. More specifically, low education, low socioeconomic status, and widowhood were predictive of inadequate FHL. Nearly one-half of the participants had inadequate or problematic CHL with an increased likelihood of inadequate levels in people with low FHL and low income.

Continuous environmental change-such as slowly rising temperatures-may create permanent maladaptation of natural populations: Even if a population adapts evolutionarily, its mean phenotype will usually lag behind the phenotype favored in the current environment, and if the resulting phenotypic lag becomes too large, the population risks extinction. We analyze this scenario using a moving-optimum model, in which one or more quantitative traits are under stabilizing selection towards an optimal value that increases at a constant rate. We have recently shown that, in the limit of infinitely small mutations and high mutation rate, the evolution of the phenotypic lag converges to an Ornstein-Uhlenbeck process around a long-term equilibrium value. Both the mean and the variance of this equilibrium lag have simple analytical formulas. Here, we study the properties of this limit and compare it to simulations of an evolving population with finite mutational effects. We find that the "small-jumps limit" provides a reasonable approximation, provided the mean lag is so large that the optimum cannot be reached by a single mutation. This is the case for fast environmental change and/or weak selection. Our analysis also provides insights into population extinction: Even if the mean lag is small enough to allow a positive growth rate, stochastic fluctuations of the lag will eventually cause extinction. We show that the time until this event follows an exponential distribution, whose mean depends strongly on a composite parameter that relates the speed of environmental change to the adaptive potential of the population.