Pre-pandemic electrodermal activity predicts current COVID-related fears: household size during lockdown as a moderating factor.

Background: Despite the immense impact of COVID-19 on mental health, there is a lack of prospective studies examining physiological predictors of current risk factors. Moreover, although physiological processes evidently interact with socio-demographic factors to modulate individuals' response to a crisis, it remains largely unknown how these complex interactions shape people's mental responses to COVID-19. To fill these gaps of knowledge, we chose a potent physiological marker of distress - heightened baseline electrodermal activity (EDA) measured before the pandemic began - and hypothesized it would be related to greater COVID-related fears and worries as a function of individuals' household size.Method: 185 individuals (71% women), who had participated in our lab studies 2-3 years ago, in which we assessed their baseline EDA, completed several questionnaires online, including assessments of their current fears regarding COVID. Participants also reported the number of people in their household, with whom they had been together during a lockdown which was taking place at the time. We used pre-pandemic EDA measures in combination with their household size to predict participants' current fears.Results: Pre-pandemic EDA measures predicted current COVID-related fears and worries. Specifically for the EDA measure "number of skin conductance responses", we further found that the number of people in the household during the lockdown, moderated the abovementioned relationship, such that it occurred in individuals with average and larger households and not in those with small households.Conclusions: We provide a highly relevant and unique combination of physiological, socio-demographic, and psychological measures, which augments the potential to optimally target populations vulnerable to COVID-related distress, and subsequently offer them early mental health interventions.

Four Methods to Distinguish between Fractal Dimensions in Time Series through Recurrence Quantification Analysis.

Fractal properties in time series of human behavior and physiology are quite ubiquitous, and several methods to capture such properties have been proposed in the past decades. Fractal properties are marked by similarities in statistical characteristics over time and space, and it has been suggested that such properties can be well-captured through recurrence quantification analysis. However, no methods to capture fractal fluctuations by means of recurrence-based methods have been developed yet. The present paper takes this suggestion as a point of departure to propose and test several approaches to quantifying fractal fluctuations in synthetic and empirical time-series data using recurrence-based analysis. We show that such measures can be extracted based on recurrence plots, and contrast the different approaches in terms of their accuracy and range of applicability.

I feel you: Prepandemic physiological synchrony and emotional contagion during COVID-19.

The COVID-19 pandemic has a major impact on mental well-being and interpersonal relationships. Nonetheless, little is known about the complex interactions between one's overall perceived interpersonal closeness and physiological or psychological aspects of interpersonal functioning. This study aimed to understand the interaction between perceived interpersonal closeness during COVID-19 and interpersonal mechanisms in predicting well-being. We focused on two interpersonal mechanisms, one physiological and the other psychological: (a) prepandemic physiological synchrony, a physiological measure of interpersonal coupling, and (b) peripandemic emotional contagion, one's tendency to "catch" others' emotions. One hundred fifty-five participants took part in the study. Cardiological interbeat interval synchrony was collected 1.5 to 3 years prior to the beginning of the COVID pandemic in two previous lab studies. Participants were recontacted during the pandemic, this time to complete several questionnaires tapping into perceived interpersonal closeness, tendency for emotional contagion, and psychological well-being during COVID. As hypothesized, overall perceived interpersonal closeness was positively related to well-being. Moreover, this effect was moderated by one's tendency for emotional contagion or by physiological synchrony. Thus, individuals with higher emotional contagion scores or higher physiological synchrony had higher well-being if their interpersonal closeness was perceived as greater. Conversely, their well-being was lower if they perceived their interpersonal closeness as weaker. These results emphasize that individuals may be differentially susceptible to the effects of their relationships on their well-being. Future mental health interventions should consider both the quality of one's perceived interpersonal closeness and the extent to which one is sensitive to others' emotional experiences. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Interpersonal Physiological Synchrony Predicts Group Cohesion.

A key emergent property of group social dynamic is synchrony-the coordination of actions, emotions, or physiological processes between group members. Despite this fact and the inherent nested structure of groups, little research has assessed physiological synchronization between group members from a multi-level perspective, thus limiting a full understanding of the dynamics between members. To address this gap of knowledge we re-analyzed a large dataset (N = 261) comprising physiological and psychological data that were collected in two laboratory studies that involved two different social group tasks. In both studies, following the group task, members reported their experience of group cohesion via questionnaires. We utilized a non-linear analysis method-multidimensional recurrence quantification analysis that allowed us to represent physiological synchronization in cardiological interbeat intervals between group members at the individual-level and at the group-level. We found that across studies and their conditions, the change in physiological synchrony from baseline to group interaction predicted a psychological sense of group cohesion. This result was evident both at the individual and the group levels and was not modified by the context of the interaction. The individual- and group-level effects were highly correlated. These results indicate that the relationship between synchrony and cohesion is a multilayered construct. We re-affirm the role of physiological synchrony for cohesion in groups. Future studies are needed to crystallize our understanding of the differences and similarities between synchrony at the individual-level and synchrony at the group level to illuminate under which conditions one of these levels has primacy, or how they interact.

Pre-pandemic autonomic nervous system activity predicts mood regulation expectancies during COVID-19 in Israel.

Despite the unfolding impact of the COVID-19 pandemic on psychological well-being, there is a lack of prospective studies that target physiological markers of distress. There is a need to examine physiological predictors from the pre-pandemic period to identify and treat individuals at-risk. In this study, our aim was to use pre-pandemic markers of autonomic nervous system (ANS) parasympathetic and sympathetic regulation to predict individuals' psychological well-being during the crisis. We also assessed the role of mood regulation expectancies as a mediator of the association between pre-pandemic physiological measures and COVID-related well-being. In May to June 2020, 185 Israeli adults completed online questionnaires assessing their mood regulation expectancies since COVID-19 began, and their current well-being. These individuals had participated in lab studies 1.5-3 years prior to this assessment, where their physiological measures were taken, including respiratory sinus arrhythmia (RSA) and skin conductance level (SCL). RSA was positively related to mood regulation expectancies during COVID-19 (b = 3.46, 95% CI [0.84, 6.05]). Mood regulation expectancies, in turn, positively predicted well-being during the crisis (b = 0.021, 95% CI [0.016, 0.027]). The mediation was significant and moderated by SCL (index = -0.09, 95% CI [-0.02, -0.0001]), such that it was strongest for individuals with low SCL. We point to pre-pandemic physiological mechanisms underlying individuals' mental well-being during the COVID-19 pandemic. These findings have theoretical, diagnostic, and clinical implications that may refine our understanding of the physiological basis of resilience to the COVID-19 pandemic and thus may be implemented to identify and assist individuals in these times.