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Factors Influencing the Onset and Severity of Depressive Symptoms

A Survey-Based Study in the Italian Population

Bibliographic Data

ID23308635
AuthorsStefania Chiappini (0000-0002-6810-1540, Saint Camillus International University of Health and Medical Sciences), Valerio Ricci (0000-0003-1717-2530, Ospedale San Luigi Gonzaga, corresponding author), Francesco Di Carlo (0000-0001-8058-3426, University of Chieti-Pescara), Alessio Mosca (0000-0003-3832-1398, University of Chieti-Pescara), Mariapia Di Paolo (University of Chieti-Pescara), Clara Cavallotto (0009-0009-2484-245X, University of Chieti-Pescara), Francesco Semeraro (University of Chieti-Pescara), Thomas Fraccalini (0000-0002-0305-3592, Ospedale San Luigi Gonzaga), Alessia Longo (Saint Camillus International University of Health and Medical Sciences), Mauro Pettorruso (0000-0002-4164-3040, University of Chieti-Pescara), Giovanni Martinotti (0000-0002-7292-2341, University of Chieti-Pescara)
Year2026
Pages207640261470091-207640261470091
Publication date2026-07-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Social Psychiatry (JOURNAL)
Journal identifiersISSN: 0020-7640 • E-ISSN: 1741-2854
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/00207640261470091
PMID42503725
OpenAlexW7171376378
LanguageEN
References cited44

Background: Depression is a leading global health concern and is projected to become one of the major contributors to the global burden of disease in the coming decades. Increasing evidence highlights the role of social determinants—including socioeconomic conditions, social relationships, life stressors, discrimination, and environmental influences—in shaping the risk and clinical expression of depressive disorders. This study aimed to investigate social determinants associated with the presence and severity of depressive symptoms in Italian general population. Methods: A cross-sectional survey was conducted among 1,036 adults from the Italian general population, recruited through personal networks and online platforms using snowball sampling. Participants completed a structured questionnaire assessing sociodemographic characteristics, social support, stressful life events, quality of life, minority stress experiences, social media use, environmental and societal concerns, substance use, and mental health symptoms. Comparative analyses were performed between individuals reporting a clinician-diagnosed depressive disorder ( n = 143; 13.8%) and those without a diagnosis ( n = 893). Results: Participants with a depressive disorder reported significantly higher exposure to multiple adverse social determinants. They were more likely to experience stressful life events, reduced perceived social support, poorer quality of life, minority stress, and negative psychosocial effects related to social media use. Concerns regarding broader socio-environmental issues, including political instability and climate change, were also more prevalent in the diagnosed group. These social vulnerabilities were accompanied by greater severity of depressive symptoms, anxiety-related manifestations, impulse-control difficulties, aggressive behaviors, and the use of substances as a coping strategy (all p ⩽ .003). Conclusions: The findings support social determinants framework for understanding depression, highlighting the contribution of social adversity, environmental stressors, and relational factors to the development and severity of depressive symptoms. Population-based surveys can help identify vulnerable groups and inform preventive strategies and public health interventions aimed at addressing the social conditions that contribute to depression.

Coping (psychology) · Depression (economics) · Major depressive disorder · Mental health · Population · Psychosocial · Quality of life (healthcare) · Social stress · Social support · Socioeconomic status · Digital Mental Health Interventions · Mental Health Treatment and Access · Mental Health via Writing

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Highly citedNo
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