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Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population

Several biopsychosocial factors are associated with the onset of a Major Depressive Episode (MDE) after cardiovascular events. However, little is known of the interaction between trait- and state-like symptoms and characteristics and their role in predisposing cardiac patients to MDEs. Three hundred...

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Autores principales: Folesani, Federica, Luviè, Lorenzo, Palazzi, Cristina, Marchesi, Carlo, Rossi, Rodolfo, Belvederi Murri, Martino, Ossola, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000947/
https://www.ncbi.nlm.nih.gov/pubmed/36900060
http://dx.doi.org/10.3390/diagnostics13050915
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author Folesani, Federica
Luviè, Lorenzo
Palazzi, Cristina
Marchesi, Carlo
Rossi, Rodolfo
Belvederi Murri, Martino
Ossola, Paolo
author_facet Folesani, Federica
Luviè, Lorenzo
Palazzi, Cristina
Marchesi, Carlo
Rossi, Rodolfo
Belvederi Murri, Martino
Ossola, Paolo
author_sort Folesani, Federica
collection PubMed
description Several biopsychosocial factors are associated with the onset of a Major Depressive Episode (MDE) after cardiovascular events. However, little is known of the interaction between trait- and state-like symptoms and characteristics and their role in predisposing cardiac patients to MDEs. Three hundred and four subjects were selected among patients admitted for the first time at a Coronary Intensive Care Unit. Assessment comprised personality features, psychiatric symptoms and general psychological distress; the occurrences of MDEs and Major Adverse Cardiovascular Events (MACE) were recorded during a two-year follow-up period. Network analyses of state-like symptoms and trait-like features were compared between patients with and without MDEs and MACE during follow-up. Individuals with and without MDEs differed in sociodemographic characteristics and baseline depressive symptoms. Network comparison revealed significant differences in personality features, not state-like symptoms: the group with MDEs displayed greater Type D personality traits and alexithymia as well as stronger associations between alexithymia and negative affectivity (edge differences between negative affectivity and difficulty identifying feelings was 0.303, and difficulty describing feelings was 0.439). The vulnerability to depression in cardiac patients is associated with personality features but not with state-like symptoms. Personality evaluation at the first cardiac event may help identify individuals more vulnerable to development of an MDE, and they could be referred to specialist care in order to reduce their risk.
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spelling pubmed-100009472023-03-11 Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population Folesani, Federica Luviè, Lorenzo Palazzi, Cristina Marchesi, Carlo Rossi, Rodolfo Belvederi Murri, Martino Ossola, Paolo Diagnostics (Basel) Article Several biopsychosocial factors are associated with the onset of a Major Depressive Episode (MDE) after cardiovascular events. However, little is known of the interaction between trait- and state-like symptoms and characteristics and their role in predisposing cardiac patients to MDEs. Three hundred and four subjects were selected among patients admitted for the first time at a Coronary Intensive Care Unit. Assessment comprised personality features, psychiatric symptoms and general psychological distress; the occurrences of MDEs and Major Adverse Cardiovascular Events (MACE) were recorded during a two-year follow-up period. Network analyses of state-like symptoms and trait-like features were compared between patients with and without MDEs and MACE during follow-up. Individuals with and without MDEs differed in sociodemographic characteristics and baseline depressive symptoms. Network comparison revealed significant differences in personality features, not state-like symptoms: the group with MDEs displayed greater Type D personality traits and alexithymia as well as stronger associations between alexithymia and negative affectivity (edge differences between negative affectivity and difficulty identifying feelings was 0.303, and difficulty describing feelings was 0.439). The vulnerability to depression in cardiac patients is associated with personality features but not with state-like symptoms. Personality evaluation at the first cardiac event may help identify individuals more vulnerable to development of an MDE, and they could be referred to specialist care in order to reduce their risk. MDPI 2023-02-28 /pmc/articles/PMC10000947/ /pubmed/36900060 http://dx.doi.org/10.3390/diagnostics13050915 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Folesani, Federica
Luviè, Lorenzo
Palazzi, Cristina
Marchesi, Carlo
Rossi, Rodolfo
Belvederi Murri, Martino
Ossola, Paolo
Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population
title Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population
title_full Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population
title_fullStr Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population
title_full_unstemmed Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population
title_short Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population
title_sort psychopathology, personality and depression after acute coronary syndrome: a network analysis in an italian population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000947/
https://www.ncbi.nlm.nih.gov/pubmed/36900060
http://dx.doi.org/10.3390/diagnostics13050915
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