A network study to differentiate suicide attempt risk profiles in male and female patients with major depressive disorder.

major depressive disorder network analysis sex differences suicide attempt suicide risk

Journal

Clinical psychology & psychotherapy
ISSN: 1099-0879
Titre abrégé: Clin Psychol Psychother
Pays: England
ID NLM: 9416196

Informations de publication

Date de publication:
03 Nov 2023
Historique:
revised: 09 10 2023
received: 26 04 2023
accepted: 10 10 2023
medline: 3 11 2023
pubmed: 3 11 2023
entrez: 3 11 2023
Statut: aheadofprint

Résumé

Suicide attempts are a possible consequence of Major Depressive Disorder (MDD), although their prevalence varies across different epidemiological studies. Suicide attempt is a significant predictor of death by suicide, highlighting its importance in understanding and preventing tragic outcomes. Researchers are increasingly recognizing the need to study the differences between males and females, as several distinctions emerge in terms of the characteristics, types and motivations of suicide attempts. These differences emphasize the importance of considering gender-specific factors in the study of suicide attempts and developing tailored prevention strategies. We conducted a network analysis to represent and investigate which among multiple neurocognitive, psychosocial, demographic and affective variables may prove to be a reliable predictor for identifying the 'suicide attempt risk' (SAR) in a sample of 81 adults who met DSM-5 criteria for MDD. Network analysis resulted in differences between males and females regarding the variables that were going to interact and predict the SAR; in particular, for males, there is a stronger link toward psychosocial aspects, while for females, the neurocognitive domain is more relevant in its mnestic subcomponents. Network analysis allowed us to describe otherwise less obvious differences in the risk profiles of males and females that attempted to take their own lives. Different neurocognitive and psychosocial variables and different interactions between them predict the probability of suicide attempt unique to male and female patients.

Identifiants

pubmed: 37922512
doi: 10.1002/cpp.2924
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 The Authors. Clinical Psychology & Psychotherapy published by John Wiley & Sons Ltd.

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Auteurs

Pierfrancesco Sarti (P)

Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.

Chiara Colliva (C)

Azienda Unità Sanitaria Locale di Modena, Distretto di Carpi, Modena, Italy.

Simone Varrasi (S)

Department of Educational Sciences, University of Catania, Catania, Italy.

Claudia Savia Guerrera (CS)

Department of Educational Sciences, University of Catania, Catania, Italy.
Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.

Giuseppe Alessio Platania (GA)

Department of Educational Sciences, University of Catania, Catania, Italy.

Francesco Maria Boccaccio (FM)

Department of Educational Sciences, University of Catania, Catania, Italy.

Sabrina Castellano (S)

Department of Educational Sciences, University of Catania, Catania, Italy.

Concetta Pirrone (C)

Department of Educational Sciences, University of Catania, Catania, Italy.

Luca Pani (L)

Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Department of Biomedical, Metabolic and Neural Sciences, Pharmacology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Department of Psychiatry and Behavioural Sciences, University of Miami, Miami, Florida, USA.
Department of Specialist Medicines, Digital and Predictive Medicine, Pharmacology and Clinical Metabolic Toxicology-Headache Centre and Drug Abuse, Laboratory of Clinical Pharmacology and Pharmacogenomics, AOU Policlinico Di Modena, Modena, Italy.

Fabio Tascedda (F)

Center for Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy.
Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.

Santo di Nuovo (S)

Department of Educational Sciences, University of Catania, Catania, Italy.

Filippo Caraci (F)

Department of Drug and Health Sciences, University of Catania, Catania, Italy.
Oasi Research Institute-IRCCS, Troina, Italy.

Johanna M C Blom (JMC)

Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Center for Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy.

Classifications MeSH