Background: Mental pain represents a significant risk factor for suicidal behavior in severe mental disorders. The present study aims to investigate the interplay between childhood traumatic experiences, hopelessness, depressive symptoms and mental pain, using a network analysis approach in a large transdiagnostic sample of participants living in the community. Methods: The present investigation was conducted using data gathered in a multicentric observational cross-section study organized as a joint project, including different Italian research and clinical settings. Considering the assessment tools adopted in the study, 12 different variables were included as nodes in the EBICglasso network analysis. Stability of the edges and of centrality indices were assessed using bootstrap procedures, considering case-dropping and node-dropping procedures. Results: A total of 2147 participants were included in the analysis. Mental pain represents a central feature in a complex network of relationships, including traumatic experiences, hopelessness, and depressive symptoms. More in deatail, mental pain and, to a lesser extent, affective and cognitive depressive symptoms emerged as the most central and influential nodes of the network, highlighting the strong link existing between these aspects and their importance in the lives of people with mental disorders. Conclusions: Results confirm the importance of mental pain as a transdiagnostic feature, requiring careful assessment and consideration in all patients, beyond the diagnostic categories and regardless of suicide risk. Assessing and managing the presence and severity of mental pain should be taken into account in clinical practice, in the perspective of providing significant clinical benefits, as well as relevant research insight.

The interplay between childhood trauma, hopelessness, depressive symptoms, and mental pain in a large sample of patients with severe mental disorders: A network analysis / Barlati, Stefano; Innamorati, Marco; Vita, Antonio; Nibbio, Gabriele; Erbuto, Denise; Sarubbi, Salvatore; Del Vecchio, Valeria; Luciano, Mario; Sampogna, Gaia; Abbate-Daga, Giovanni; Carmassi, Claudia; Castellini, Giovanni; De Fazio, Pasquale; Di Lorenzo, Giorgio; Di Nicola, Marco; Ferrari, Silvia; Goracci, Arianna; Gramaglia, Carla; Martinotti, Giovanni; Nanni, Maria Giulia; Pasquini, Massimo; Pinna, Federica; Poloni, Nicola; Serafini, Gianluca; Signorelli, Maria; Tortorella, Alfonso; Ventriglio, Antonio; Volpe, Umberto; Fiorillo, Andrea; Pompili, Maurizio. - In: JOURNAL OF AFFECTIVE DISORDERS. - ISSN 0165-0327. - 380:(2025), pp. 545-551. [10.1016/j.jad.2025.03.185]

The interplay between childhood trauma, hopelessness, depressive symptoms, and mental pain in a large sample of patients with severe mental disorders: A network analysis

del Vecchio, Valeria;Luciano, Mario;Carmassi, Claudia;Di Lorenzo, Giorgio;Ferrari, Silvia;Martinotti, Giovanni;Fiorillo, Andrea;
2025

Abstract

Background: Mental pain represents a significant risk factor for suicidal behavior in severe mental disorders. The present study aims to investigate the interplay between childhood traumatic experiences, hopelessness, depressive symptoms and mental pain, using a network analysis approach in a large transdiagnostic sample of participants living in the community. Methods: The present investigation was conducted using data gathered in a multicentric observational cross-section study organized as a joint project, including different Italian research and clinical settings. Considering the assessment tools adopted in the study, 12 different variables were included as nodes in the EBICglasso network analysis. Stability of the edges and of centrality indices were assessed using bootstrap procedures, considering case-dropping and node-dropping procedures. Results: A total of 2147 participants were included in the analysis. Mental pain represents a central feature in a complex network of relationships, including traumatic experiences, hopelessness, and depressive symptoms. More in deatail, mental pain and, to a lesser extent, affective and cognitive depressive symptoms emerged as the most central and influential nodes of the network, highlighting the strong link existing between these aspects and their importance in the lives of people with mental disorders. Conclusions: Results confirm the importance of mental pain as a transdiagnostic feature, requiring careful assessment and consideration in all patients, beyond the diagnostic categories and regardless of suicide risk. Assessing and managing the presence and severity of mental pain should be taken into account in clinical practice, in the perspective of providing significant clinical benefits, as well as relevant research insight.
2025
380
545
551
The interplay between childhood trauma, hopelessness, depressive symptoms, and mental pain in a large sample of patients with severe mental disorders: A network analysis / Barlati, Stefano; Innamorati, Marco; Vita, Antonio; Nibbio, Gabriele; Erbuto, Denise; Sarubbi, Salvatore; Del Vecchio, Valeria; Luciano, Mario; Sampogna, Gaia; Abbate-Daga, Giovanni; Carmassi, Claudia; Castellini, Giovanni; De Fazio, Pasquale; Di Lorenzo, Giorgio; Di Nicola, Marco; Ferrari, Silvia; Goracci, Arianna; Gramaglia, Carla; Martinotti, Giovanni; Nanni, Maria Giulia; Pasquini, Massimo; Pinna, Federica; Poloni, Nicola; Serafini, Gianluca; Signorelli, Maria; Tortorella, Alfonso; Ventriglio, Antonio; Volpe, Umberto; Fiorillo, Andrea; Pompili, Maurizio. - In: JOURNAL OF AFFECTIVE DISORDERS. - ISSN 0165-0327. - 380:(2025), pp. 545-551. [10.1016/j.jad.2025.03.185]
Barlati, Stefano; Innamorati, Marco; Vita, Antonio; Nibbio, Gabriele; Erbuto, Denise; Sarubbi, Salvatore; Del Vecchio, Valeria; Luciano, Mario; Sampog...espandi
File in questo prodotto:
File Dimensione Formato  
Trauma_Suicidio_JAD_apr2025.pdf

Open access

Tipologia: VOR - Versione pubblicata dall'editore
Licenza: [IR] creative-commons
Dimensione 1.21 MB
Formato Adobe PDF
1.21 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1375548
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact