Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-28T10:14:26.483Z Has data issue: false hasContentIssue false

Social connection and depression: an umbrella review of meta-analyses assessing the magnitude of risk and protection

Published online by Cambridge University Press:  19 July 2023

M. Pettorruso*
Affiliation:
Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti
R. Collevecchio
Affiliation:
Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti
F. Zoratto
Affiliation:
Center for Behavioural Science and Mental Health, Istituto Superiore di Sanità, Rome
B. Collacchi
Affiliation:
Center for Behavioural Science and Mental Health, Istituto Superiore di Sanità, Rome
M. Boffa
Affiliation:
Center for Behavioural Science and Mental Health, Istituto Superiore di Sanità, Rome
M. Santorelli
Affiliation:
School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
M. Clerici
Affiliation:
School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
G. Martinotti
Affiliation:
Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti
M. Borgi
Affiliation:
Center for Behavioural Science and Mental Health, Istituto Superiore di Sanità, Rome
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Depression is a severe mental disorder with an estimated 3.8% of the population affected, representing a leading cause of disability worldwide. Being linked to reduced quality of life and individual functioning, medical morbidity and mortality, depression has a huge social and economic impact. A wide range of potentially modifiable factors for depression has been identified. Among these, social factors (e.g. support/engagement) appear to play a major role in the emergence and severity of depression.

Objectives

We aimed at providing a quantitative synthesis of the consistency and magnitude of the association between measures of social connection and depression. Social connection included both quantitative (i.e. existence/absence of social relationships) and functional (i.e. support provided) measures of social relationships, as well as measures focusing on social inequalities related to participation in community spaces/activities (i.e. social discrimination).

Methods

We searched PubMed, PsycINFO, Cochrane Library and EMBASE. The strength of the association between exposure factors (social measures) and depression was extracted and equivalent odds ratios were computed to compare the strength of the effect sizes among meta-analyses. The quality of each review was assessed using AMSTAR-2.

Results

As a result of the selection process 47 studies were included in the umbrella review. Social support was found to have a protective role on depression, with an observed moderate/strong effect in peripartum population and a weaker effect in clinical populations (e.g. AIDS/HIV patients). A moderate association between stigma/discrimination and depression emerged in clinical populations (e.g. epilepsy, mental illness, post-stroke), while a weaker effect was found in (ethnic) minorities. There are still few studies quantitatively investigating the link between depression and other social measures (e.g. community connectedness).

Conclusions

Our findings align with the literature on social connection and mental health, confirming the role of social determinants in the emergence and severity of depression, particularly in the case of vulnerable populations. Social factors emerge as important modifiable targets in the context of depression prevention. Efforts to counteract disconnection at the societal and individual levels and to reduce stigma should be central to an effective depression prevention agenda.

Disclosure of Interest

None Declared

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.