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Objective: The COVID-19 pandemic has contributed to the occurrence of psychological disturbances, such as depressive and anxiety symptomatology, thereby significantly impacting individuals' lifestyles by disrupting sleep patterns. This study aimed to elucidate the interconnections between emotion regulation, depression, anxiety, and daytime sleepiness. Method: We recruited 632 community adults who underwent an online survey of self-report questionnaires, including the Depression Anxiety Stress Scale (DASS-21)the Difficulties in Emotion Regulation Scale (DERS), and the Epworth Sleepiness Scale (ESS). A network analysis was performed to examine and visually represent the pattern of relationships between psychological distress, emotion regulation, and daytime sleepiness. Results: The DERS Strategy dimension showed high values across all centrality indices, indicating it as the most influential node in the network. In addition, the DASS Depression and DERS Goals dimensions exhibited high betweenness values, emerging as points of connection between the other nodes within the network structure. Conclusions: Our primary findings underscore the connection between psychological distress and emotion regulation, specifically between depressive symptoms, a lack of emotional clarity, and difficulty in the flexible use of emotional strategies. These specific constructs hold promising potential as valuable targets for both assessment and the development of effective interventions during highly challenging situations such as the COVID-19 pandemic.

Starting from the idea that dreaming could be considered an index of the psychological health of individuals regarding the COVID-19 outbreak, a major risk of psychological maladjustment has been registered for maladaptive daydreamers (MDers; i.e., people with a compulsive fantasy activity associated with distress and psychological impairment). Nevertheless, there is a gap in literature about dreaming in MDers in general and particularly during the COVID-19 pandemic. The aim of this study was to investigate differences in dreaming and dream content between probable MDers and non-MDers during the COVID-19 lockdown in Italy. A total of 3,857 Italian adults (664 probable MDers), completed the Maladaptive Daydreaming Scale (MDS-16) and the Mannheim Dream Questionnaire (MADRE). Among them, 1,095 participants (222 probable MDers) decided to recount their dreams, subsequently analysed through a cluster analysis performed by T-LAB software. Significantly higher levels of dream recall, emotional intensity of dreams, nightmare frequency, nightmare distress, recurring nightmares about daytime, lucid dreams, interest toward dreams, problem solving and creative dreams, and dreams affecting daytime mood emerged in probable MDers compared to non-MDers. No differences were observed in the emotional tone of dreams. From the quali-quantitative analysis of dream narratives, similar themes emerged in probable MDers and non-MDers, except for a cluster named Dreaming the loss of others, where the non-MDers variable is highly represented. Our results highlight some significant differences between probable MDers and non-MDers with respect to dreaming activity. The massive use of dream activity as an affective regulator emerges for both probable MDers and non-MDers during lockdown.

AIM: The Flexible Regulation of Emotional Expression (FREE) Scale assesses the ability to enhance and suppress displayed emotions among a range of hypothetical contexts. The Context Sensitivity Index (CSI) measures the ability to perceive cues to contextual demands across different situations. This study aimed to present the first step of the adaptation and validation to the Italian context of the FREE and the CSI scales. MATERIALS AND METHODS: A sample of 120 Italian students took part in this first step. Six focus groups were conducted to explore the Context sensitivity, Emotional Flexibility, and Flexible Regulation of Emotional Expression constructs in the Italian context. Verbatim transcripts were analyzed with T-LAB software and two kinds of analyses were performed. RESULTS: Results of the Thematic Analysis of Elementary Contexts showed four clusters: "emotional flexibility", "emotion management", "emotion regulation", and "context sensitivity". Results of Factorial Analysis of Correspondences indicated three factors with the first two factors explaining about 80% of the variance. Factor 1, which opposed "emotional flexibility" and "context sensitivity" at its negative pole; "emotion management" and "emotion regulation" at its positive pole, was named "Cognitive and emotive functions of mind". Factor 2, which opposed "context sensitivity" and "emotion regulation" on the positive pole, "emotional flexibility" and "emotion management" on the negative pole, was named "Elaboration-adaptation as aim of the subject". CONCLUSIONS: Preliminary results obtained through a qualitative approach supported the validity of the flexible regulation of emotional expression and the context sensitivity constructs in the Italian context. These results will be tested with a quantitative approach in the next steps of this research.

Recent literature shows that the Coronovirus-19 (COVID-19) pandemic has provoked significant changes in dreaming. The current study intends to provide an update about dream variable changes during the second wave of COVID-19. A total of 611 participants completed a web survey from December 2020 to January 2021. Statistical comparisons showed that subjects had lower dream-recall frequency, nightmare frequency, lucid-dream frequency, emotional intensity, and nightmare distress during the second than the first wave of the pandemic. Dreams had a higher negative tone during the second than first wave. We revealed significant differences concerning post-traumatic growth, sleep-related post-traumatic stress disorder (PTSD) symptoms and sleep measures between groups obtained as a function of the changes in the oneiric frequency between the first and second waves. We also found significant correlations between qualitative/emotional dream features and COVID-19-related factors (job change, forced quarantine, having COVID-19 infected relatives/friends, or asking for mental health help). Overall, we found that the second wave affected fewer quantitative features of dream activity and there was less emotional intensity. Moreover, we confirmed the relationship between nightmares and the high risk of PTSD when subjects were grouped as a function of the increasing/decreasing frequency. Finally, our findings are partly coherent with the continuity hypothesis between oneiric and waking experiences.

This study aims to explore the emotional experiences related to the lockdown during the first pandemic wave, analysing the dreams of the Italian population. Through an online survey spread throughout the country, participants completed the Depression Anxiety Stress Scale-21 (DASS-21), the Resilience Scale (RS) and were asked to narrate a dream they had during the lockdown. The dreams were qualitatively analysed through the thematic content analysis. Logistic regression analyses were then conducted to verify the relationship among the categories that emerged and between these categories and the DASS-21 and RS scores. In the dreams 8 categories were identified (Places, Characters, Relationships, Actions, Danger, Death, Processes, and Emotions) composed of specific sub-categories, which seem to compose a sort of narrative structure of the dream. Some sub-categories were found to be predictor of depression and resilience or with exposure to COVID-19. Dreams can be a valid tool both to understand the experiences of the population during the pandemic and to evaluate those at risk of developing distress in clinical practice.

During the COVID-19 outbreak, individuals with or without mental disorders may resort to dysfunctional psychological strategies that could trigger or heighten their emotional distress. The current study aims to explore the links between maladaptive daydreaming (MD, i.e., a compulsive fantasy activity associated with distress and psychological impairment), psychological symptoms of depression, anxiety, and negative stress, and COVID-19-related variables, such as changes in face-to-face and online relationships, during the COVID-19 lockdown in Italy. A total of 6,277 Italian adults completed an online survey, including socio-demographic variables, COVID-19 related information, the 16-item Maladaptive Daydreaming Scale (MDS-16), and Depression, Anxiety, and Stress Scales-21 Items (DASS-21). Based on an empirically derived cut-off score, 1,082 participants (17.2%) were identified as probable maladaptive daydreamers (MDers). A binary logistic regression revealed that compared to controls, probable MDers reported that during the COVID-19 lockdown they experienced higher levels of anxiety and depression, decreased online social relationships, and, surprisingly, stable or increased face-to-face social relationships. Given the peculiar characteristics of the pandemic context, these findings suggest that the exposure to the risk of contagion had probably exacerbated the tendency of probable MDers to lock themselves inside their mental fantasy worlds, which in turn may have contributed to further estrangement from online social relationships and support, thus worsening their emotional distress.

COVID-19 has critically impacted the world. Recent works have found substantial changes in sleep and mental health during the COVID-19 pandemic. Dreams could give us crucial information about people's well-being, so here we have directly investigated the consequences of lockdown on the oneiric activity in a large Italian sample: 5,988 adults completed a web-survey during lockdown. We investigated sociodemographic and COVID-19-related information, sleep quality (by the Medical Outcomes Study-Sleep Scale), mental health (by the Depression, Anxiety, and Stress Scales), dream and nightmare frequency, and related emotional aspects (by the Mannheim Dream Questionnaire). Comparisons between our sample and a population-based sample revealed that Italians are having more frequent nightmares and dreams during the pandemic. A multiple logistic regression model showed the predictors of high dream recall (young age, female gender, not having children, sleep duration) and high nightmare frequency (young age, female gender, modification of napping, sleep duration, intrasleep wakefulness, sleep problem index, anxiety, depression). Moreover, we found higher emotional features of dream activity in workers who have stopped working, in people who have relatives/friends infected by or who have died from COVID-19 and in subjects who have changed their sleep habits. Our findings point to the fact that the predictors of high dream recall and nightmares are consistent with the continuity between sleep mentation and daily experiences. According to the arousal-retrieval model, we found that poor sleep predicts a high nightmare frequency. We suggest monitoring dream changes during the epidemic, and also considering the implications for clinical treatment and prevention of mental and sleep disorders.

Background: The COVID-19 outbreak is severely affecting the overall mental health with unknown psychological consequences. Although a strong psychological impact is possible, scant evidence is available to date. Past studies have shown that resilience decreases the negative effects of stress. This study aimed to examine depression, anxiety, and stress among the Italian general population during the phase characterized by lockdown, and to investigate the role of resilience as a potential predictor. Methods: A total sample of 6,314 Italian people participated in this study. Participants were recruited between March 29 and May 04 2020 through an online survey. The Depression Anxiety Stress Scales-21 (DASS-21) and the Resilience Scale (RS) were administered. Demographic data and lockdown related information were also collected. A correlational analysis was carried out to examine relationships between psychopathological domains and resilience. Three hierarchical regression analyses were conducted using the depression, anxiety, and stress as dependent variables and the resilience as independent variable controlling for age, gender, and education. COVID-19 specific variables were also included in the three regression analyses. A further exploratory analysis was carried out to examine which aspects of resilience predict depression, anxiety, and stress. Results: The prevalence of moderate to extremely severe symptoms among participants was 32% for depression, 24.4% for anxiety, and 31.7% for stress. The sample mean scores on depression, anxiety, and stress were higher than the normal scores reported in the literature. Results of correlational analysis showed that resilience factors, such as meaningfulness, self-reliance, existential aloneness, and equanimity, are inversely associated with depression, anxiety, and stress. Results of regression analyses indicated that resilience was statically significant in predicting depression, anxiety, and stress. Geographic area of reside

Background: The COVID-19 outbreak is severely affecting the overall mental health with unknown psychological consequences. Although a strong psychological impact is possible, scant evidence is available to date. Past studies have shown that resilience decreases the negative effects of stress. This study aimed to examine depression, anxiety, and stress among the Italian general population during the phase characterized by lockdown, and to investigate the role of resilience as a potential predictor. Methods: A total sample of 6,314 Italian people participated in this study. Participants were recruited between March 29 and May 04 2020 through an online survey. The Depression Anxiety Stress Scales-21 (DASS-21) and the Resilience Scale (RS) were administered. Demographic data and lockdown related information were also collected. A correlational analysis was carried out to examine relationships between psychopathological domains and resilience. Three hierarchical regression analyses were conducted using the depression, anxiety, and stress as dependent variables and the resilience as independent variable controlling for age, gender, and education. COVID-19 specific variables were also included in the three regression analyses. A further exploratory analysis was carried out to examine which aspects of resilience predict depression, anxiety, and stress. Results: The prevalence of moderate to extremely severe symptoms among participants was 32% for depression, 24.4% for anxiety, and 31.7% for stress. The sample mean scores on depression, anxiety, and stress were higher than the normal scores reported in the literature. Results of correlational analysis showed that resilience factors, such as meaningfulness, self-reliance, existential aloneness, and equanimity, are inversely associated with depression, anxiety, and stress. Results of regression analyses indicated that resilience was statically significant in predicting depression, anxiety, and stress. Geographic area of reside