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.

Folesani, F., Luviè, L., Palazzi, C., Marchesi, C., Rossi, R., Belvederi Murri, M., et al. (2023). Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population. DIAGNOSTICS, 13(5) [10.3390/diagnostics13050915].

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

Rodolfo Rossi;
2023-01-01

Abstract

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.
2023
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MEDS-11/A - Psichiatria
Settore PSIC-04/B - Psicologia clinica
English
acute coronary syndrome
depression
network analysis
personality
risk factors
Folesani, F., Luviè, L., Palazzi, C., Marchesi, C., Rossi, R., Belvederi Murri, M., et al. (2023). Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population. DIAGNOSTICS, 13(5) [10.3390/diagnostics13050915].
Folesani, F; Luviè, L; Palazzi, C; Marchesi, C; Rossi, R; Belvederi Murri, M; Ossola, P
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/396113
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