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Ashamed or afraid? Traumatic symptom severity and emotional activations of Covid-19-related events.

ABSTRACT: This study investigates the role of shame, guilt, and fear activations related to Covid-19 stressful experiences in predicting traumatic symptoms. We focused on 72 Italian adults recruited in Italy. The primary outcome was to explore the traumatic symptoms severity and negative emotions associated with COVID-19-related experiences. The presence of traumatic symptoms was met by a total of 36%. Shame and fear activations predicted traumatic scales. Qualitative content analysis identified Self-centered, and Externally-centered counterfactual thoughts and five relevant subcategories were also identified. The present findings suggest the importance of shame in the maintenance of traumatic symptoms related to COVID-19 experiences.

SUBMITTER: Cavalera C

PROVIDER: S-EPMC9898053 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Ashamed or afraid? Traumatic symptom severity and emotional activations of Covid-19-related events.

Cavalera Cesare C Quiroga Angélica A Oasi Osmano O

Asian journal of psychiatry 20230204

This study investigates the role of shame, guilt, and fear activations related to Covid-19 stressful experiences in predicting traumatic symptoms. We focused on 72 Italian adults recruited in Italy. The primary outcome was to explore the traumatic symptoms severity and negative emotions associated with COVID-19-related experiences. The presence of traumatic symptoms was met by a total of 36%. Shame and fear activations predicted traumatic scales. Qualitative content analysis identified Self-cent ...[more]

PMID: 36796219

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Project description:Using RNA-seq and high-resolution mass spectrometry we performed a comprehensive systems analysis on 128 plasma and leukocyte samples from hospitalized patients with or without COVID-19 (n=102 and 26 respectively) and with differing degrees of disease severity. We generated abundance measurements for over 17,000 transcripts, proteins, metabolites, and lipids and compiled them with clinical data into a curated relational database. This resource offers the unique opportunity to perform systems analysis and cross-ome correlations to both molecules and patient outcomes. In total 219 molecular features were mapped with high significance to COVID-19 status and severity, including those involved in processes such as complement system activation, dysregulated lipid transport, and B cell activation. In one example, we detected a trio of covarying molecules – citrate, plasmenyl-phosphatidylcholines, and gelsolin (GSN) – that offer both pathophysiological insight and potential novel therapeutic targets. Further, our data revealed in some cases, and supported in others, that several biological processes were dysregulated in COVID-19 patients including vessel damage, platelet activation and degranulation, blood coagulation, and acute phase response. For example, we observed that the coagulation-related protein, cellular fibronectin (cFN), was highly increased within COVID-19 patients and provide new evidence that the upregulated proteoform stems from endothelial cells, consistent with endothelial injury as a major activator of the coagulation cascade. The abundance of prothrombin, which is cleaved to form thrombin during clotting, was significantly reduced and correlated with severity and might help to explain the hyper coagulative environment of SARS-CoV-2 infection. From transcriptomic analysis of leukocytes, we concluded that COVID-19 patients with acute respiratory distress syndrome (ARDS) demonstrated a phenotype that overlapped with, but was distinct from, that found in patients with non-COVID-19-ARDS. To aid in the global efforts toward elucidation of disease pathophysiology and therapeutic development, we created a web-based tool with interactive visualizations allowing for easy navigation of this systems-level compendium of biomolecule abundance in relation to COVID-19 status and severity. Finally, we leveraged these multi-omic data to predict COVID-19 patient outcomes with machine learning, which highlighted the predictive power of these expansive molecular measurements beyond the standardized clinical estimate of 10-year survival Charlson score.

Dataset Information

Ashamed or afraid? Traumatic symptom severity and emotional activations of Covid-19-related events.

Publications

Ashamed or afraid? Traumatic symptom severity and emotional activations of Covid-19-related events.

Similar Datasets

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