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.

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. - In: DIAGNOSTICS. - ISSN 2075-4418. - 13:5(2023), p. 915. [10.3390/diagnostics13050915]

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

Palazzi, Cristina;Marchesi, Carlo;Ossola, Paolo
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
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. - In: DIAGNOSTICS. - ISSN 2075-4418. - 13:5(2023), p. 915. [10.3390/diagnostics13050915]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2948519
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