Have We Taken Advantage of the Quarantine to Develop Healthy Habits? A Cross-Sectional Analysis of the Spanish COVID-19 Situation by Gender.

The confinement caused by the COVID-19 pandemic led to changes in people's lifestyles, which in part provided an opportunity to develop habits at home. The aims were: (1) to verify if the psychological well-being (PWB) of people related to healthy habits, and if physical activity (PA) and diet mediated this relationship; (2) to test if there were differences in this model of relationships between women and men; (3) to analyze if there were differences in healthy habits, PA, diet, and PWB depending on gender; (4) to test if there were differences in healthy habits, PA, diet, and PWB depending on living area; (5) and to assess if there were interaction effects of gender and living area in healthy habits, PA, diet, and PWB. Using a cross-sectional design, we obtained a sample of 1509 participants (18-78 years, 1020 women). Diet and PA fully mediated the relationship between PWB and healthy habits, and women developed more healthy habits than men, whereas men had higher levels of PA and PWB. We also found that people who lived in rural areas during confinement practiced more PA and had lower PWB levels than those who lived in urban areas. These results can help in the planning of strategies to promote healthy habits.

Psychological Well-Being and Home Conditions during COVID-19 Confinement. Internet Addiction and Nostalgia as Mediators.

The COVID-19 pandemic posed a challenge for all confined populations, dealing with their home resources and suffering changes in their psychological well-being. The aim of this paper is to analyze the relationship between home conditions (i.e., having children, square meters of the house and square meters of the terrace or similar) and psychological well-being, and to test whether this relationship is mediated by Internet addiction and nostalgia. The sample was composed of 1509 people, aged between 18 to 78 years (67.6% women). Structural Equations Models and 2 × 2 ANOVAs were analyzed. It was found that better home conditions mean greater psychological well-being, and that this relationship is partially mediated, in a negative sense, by Internet addiction and nostalgia, especially after day 45 of confinement and with greater intensity in women. These results provide evidence about how psychological well-being can be preserved during a confinement situation, which may be useful for planning healthy strategies in similar circumstances in the future.

Influence on Forgiveness, Character Strengths and Satisfaction with Life of a Short Mindfulness Intervention via a Spanish Smartphone Application.

Mindfulness-based interventions (MBI) are a recognized effective psychological practice characterized by attention control, awareness, acceptance, non-reactivity, and non-judgmental thinking obtained through the practice of meditation. They have been shown to be useful in reducing stress and enhancing well-being in different contexts. In this research, the effectiveness of an MBI was evaluated on variables that can promote successful job performance such as mindfulness trait, positive and negative affect, forgiveness, personality strengths and satisfaction with life. The intervention was carried out through a smartphone application called "Aire Fresco" (Fresh Air) during 14 days in the middle of the quarantine produced by the Covid-19 pandemic. The study sample was composed of 164 Spanish people who were distributed in two groups: control group and experimental group, which were evaluated before and after the intervention. The MANCOVA performed showed an overall positive effect of the intervention on the variables evaluated. The different ANCOVAs carried out showed that the intervention was beneficial in increasing mindfulness trait, reducing negative affect or increasing life satisfaction, among others. Our study is, as far as we know, the first to demonstrate the effectiveness of a brief intervention in mindfulness conducted using a smartphone application in Spanish.

Influence of Confinement by COVID-19 on the Quality of Sleep and the Interests of University Students.

PURPOSE: To check for changes in sleep in three temporary times: before COVID-19 lockdown in university students, and also twenty days and forty days afterwards, as well as to see how it has influenced in their daily activities. MATERIALS AND METHODS: A longitudinal study was conducted with a sample of 75 participants from different Spanish universities. The Pittsburgh Sleep Quality Index and the Adapted Interest List were administered to evaluate the main variables of the study. RESULTS: About 70.7% of the sample showed worse sleep quality at 20 days, almost twice as much as before confinement (37.3%), there were more problems falling asleep (F(2, 75) = -3.14, p = 0.002), and more difficulty getting back to sleep when waking up at night (F(2.75) = 2.08, p = 0.037) at 40 days of lockdown. In addition, as confinement time went on, students showed less activities. Factors such as working, in addition to studying, and relaxing activities (reading, listening to music) were associated with better sleep quality. CONCLUSION: Sleep quality worsened during lockdown in university students, as well as both 20 and 40 days later. Staying busy during the day (not only studying but also working) and spending free time on relaxing activities are related to better sleep quality.

Discrimination between smiling faces: Human observers vs. automated face analysis.

This study investigated (a) how prototypical happy faces (with happy eyes and a smile) can be discriminated from blended expressions with a smile but non-happy eyes, depending on type and intensity of the eye expression; and (b) how smile discrimination differs for human perceivers versus automated face analysis, depending on affective valence and morphological facial features. Human observers categorized faces as happy or non-happy, or rated their valence. Automated analysis (FACET software) computed seven expressions (including joy/happiness) and 20 facial action units (AUs). Physical properties (low-level image statistics and visual saliency) of the face stimuli were controlled. Results revealed, first, that some blended expressions (especially, with angry eyes) had lower discrimination thresholds (i.e., they were identified as "non-happy" at lower non-happy eye intensities) than others (especially, with neutral eyes). Second, discrimination sensitivity was better for human perceivers than for automated FACET analysis. As an additional finding, affective valence predicted human discrimination performance, whereas morphological AUs predicted FACET discrimination. FACET can be a valid tool for categorizing prototypical expressions, but is currently more limited than human observers for discrimination of blended expressions. Configural processing facilitates detection of in/congruence(s) across regions, and thus detection of non-genuine smiling faces (due to non-happy eyes).

What makes a smiling face look happy? Visual saliency, distinctiveness, and affect.

We investigated the relative contribution of (a) perceptual (eyes and mouth visual saliency), (b) conceptual or categorical (eye expression distinctiveness), and (c) affective (rated valence and arousal) factors, and (d) specific morphological facial features (Action Units; AUs), to the recognition of facial happiness. The face stimuli conveyed truly happy expressions with a smiling mouth and happy eyes, or blended expressions with a smile but non-happy eyes (neutral, sad, fearful, disgusted, surprised, or angry). Saliency, distinctiveness, affect, and AUs served as predictors; the probability of judging a face as happy was the criterion. Both for truly happy and for blended expressions, the probability of perceiving happiness increased mainly as a function of positive valence of the facial configuration. In addition, for blended expressions, the probability of being (wrongly) perceived as happy increased as a function of (a) delayed saliency and (b) reduced distinctiveness of the non-happy eyes, and (c) enhanced AU 6 (cheek raiser) or (d) reduced AUs 4, 5, and 9 (brow lowerer, upper lid raiser, and nose wrinkler, respectively). Importantly, the later the eyes become visually salient relative to the smiling mouth, the more likely it is that faces will look happy.

Sensitivity to emotional scene content outside the focus of attention.

We investigated whether the emotional content of visual scenes depicting people is processed in peripheral vision. Emotional or neutral scene photographs were paired with a matched scrambled image for 150ms in peripheral vision (≥5°). The pictures were immediately followed by a digit or letter in a discrimination task. Interference (i.e., slowed reaction times) with performance in this task indexed the processing resources drawn by the pictures. Twelve types of specific emotional scene contents (e.g., erotica or mutilation) were compared. Results showed, first, that emotional scenes caused greater interference than neutral scenes, in the absence of fixations. This suggests that emotional scenes are processed and draw covert attention outside the focus of overt attention. Second, interference was similar for female and male participants with pleasant scenes (except for erotica), but females were more affected by all types of unpleasant scenes than males. This reveals that sensitivity to peripheral vision is modulated by sex and affective valence. Third, low-level image properties, visual saliency, and size of bodies and faces, were generally equivalent for emotional and neutral scenes. This rules out the alternative hypothesis of a contribution of non-emotional, purely perceptual factors.

Engaged, workaholic, burned-out or just 9-to-5? Toward a typology of employee well-being.

The aim of this study was to establish a typology of employee well-being, together with its psychosocial antecedents and consequences. Results obtained with a sample of 786 full-time employees from different occupational sectors show four types of employee well-being: 9-to-5 or relaxed, work engaged or enthusiastic, workaholic or tense, and burned-out or fatigued, each having different relationships with job and personal characteristics. This study provides evidence of a parsimonious, theory-based classification of employee well-being and contributes to the existing literature about work investment because meaningful relations were found between various types of employee well-being, and heavy and soft work investors.

About the dark and bright sides of self-efficacy: workaholism and work engagement.

Taking the Resources-Experiences-Demands Model (RED Model) by Salanova and colleagues as our starting point, we tested how work self-efficacy relates positively to negative (i.e., work overload and work-family conflict) and positive outcomes (i.e., job satisfaction and organizational commitment), through the mediating role of workaholism (health impairment process) and work engagement (motivational process). In a sample of 386 administrative staff from a Spanish University (65% women), Structural Equation Modeling provided full evidence for the research model. In addition, Multivariate Analyses of Variance showed that self-efficacy was only related positively to one of the two dimensions of workaholism, namely, working excessively. Finally, we discuss the theoretical and practical contributions in terms of the RED Model.

Validity of a brief workaholism scale.

The current study contributes to our understanding of workaholism as a negative construct, and to its measurement by examining the psychometric properties of a short 10-item workaholism scale called DUWAS (Dutch Work Addiction Scale). Confirmatory factor analyses were carried out in a heterogeneous sample of 2,714 employees from the Netherlands (n= 2,164) and Spain (n= 550). The results confirmed the expected two-factor structure of workaholism: working excessively and working compulsively. Moreover, multi-group analyses showed that this two-factor structure was invariant across both countries. Lastly, negative correlations among workaholism and psychosocial well-being (i.e., perceived health and happiness) are indicators of the negative nature of workaholism.