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Positive reappraisal strategies have been found to reduce negative affect following the recall of negative personal events. This study examined the restorative effect of two mood-repair instructions (self-compassion vs benefit-focused reappraisal) and a control condition with no instructions following a negative Mood Induction Procedure by using the guided recall of a negative autobiographical event. A total of 112 university students participated in the online study (81% women, Mage: 21.0 years). Immediately following the negative memory recall, participants were randomised to each condition [(self-compassion: n = 36, benefit-focused: n = 39) or a control condition (n = 37)]. Repeated measures ANOVAs 3 (Repair condition) × 3 (Time of mood assessment: pre-recall, post-recall, post-regulation) showed that, as expected, negative mood (sadness, shame, and guilt) worsened significantly after the guided recall in all groups (p <.001). After the mood-repair intervention, participants in the self-compassion and benefit-focused conditions showed a significant reduction in negative mood (p <.019), while such improvement was not observed in the control group. Self-compassion and benefit-focused reappraisal functioned similarly as mood repair strategies after experiencing negative affect induced by the recall of negative personal memories. Implications in the context of autobiographical memory biases are discussed. [ABSTRACT FROM AUTHOR]

Decreased levels of positive affect (PA) are a hallmark of depression. Current models propose as potential main mechanisms a dysfunctional use of emotion regulation (ER) strategies (i.e. dampening, positive rumination), and a maladaptive activation of pro-hedonic goals. However, the role of these mechanisms in PA in daily life remains understudied. We used a 10-day ESM design to assess how these mechanisms influence each other and contribute to depressive symptomatology-related low momentary PA in 139 individuals. Higher depressive symptoms were associated with lower PA, pro-hedonic goals, more frequent use of positive rumination, and higher use of dampening. Further, experiencing higher levels of PA predicted lower following time point use of dampening in individuals with higher symptoms. Finally, using positive rumination was more beneficial (i.e. predicted higher PA increases one moment later) for individuals with higher symptomatology. Our findings suggest that moment-to-moment changes in PA daily life are affected by, and have an effect on, both pro-hedonic goals and the use of dampening and positive rumination, highlighting specific cognitive–affective mechanisms that should be considered when designing interventions aimed at improving low PA characterising depression symptomatology. [ABSTRACT FROM AUTHOR]

Commonly identified patterns of psychological distress in response to adverse events are characterized by resilience (i.e., little to no distress), delayed (i.e., distress that increases over time), recovery (i.e., distress followed by a gradual decrease over time), and sustained (i.e., distress remaining stable over time). This study aimed to examine these response patterns during the COVID‐19 pandemic. Anxiety and depressive symptom data collected across four European countries over the first year of the pandemic were analyzed (N = 3,594). Participants were first categorized into groups based on the four described patterns. Network connectivity and symptom clustering were then estimated for each group and compared. Two thirds (63.6%) of the sample displayed a resilience pattern. The sustained distress network (16.3%) showed higher connectivity than the recovery network (10.0%) group, p =.031; however, the resilient network showed higher connectivity than the delayed network (10.1%) group, p =.016. Regarding symptom clustering, more clusters emerged in the recovery network (i.e., three) than the sustained network (i.e., two). These results replicate findings that resilience was the most common mental health pattern over the first pandemic year. Moreover, they suggest that high network connectivity may be indicative of a stable mental health response over time, whereas fewer clusters may be indicative of a sustained distress pattern. Although exploratory, the network perspective provides a useful tool for examining the complexity of psychological responses to adverse events and, if replicated, could be useful in identifying indicators of protection against or vulnerability to future psychological distress. [ABSTRACT FROM AUTHOR]

Traditional factor analyses used to analyze the structure of psychological strengths have yielded different solutions, not always confirming the original structure of 24 strengths corresponding to six virtues as proposed by Peterson and Seligman in their initial model. In contrast with previous factorial approaches, this study used network analysis to explore the map of strengths, assessed with the VIA Inventory of Strengths (VIA-IS), in a large sample of individuals (N = 1,255,248) from the general population in the United States, Australia, Canada, and UK. The network analysis revealed four different communities (i.e., groups of strengths): Discernment, Interpersonal, Responsibility, and Energy. The strength most connected to other strengths was Gratitude, whereas Love of Learning was the least connected node. These results open a new way to conceptualize psychological strengths as a complex network of mutually interconnected strengths. These findings complement results from factor analyses that future research should replicate and validate. [ABSTRACT FROM AUTHOR]