The relationship between online social networking and depression : a systematic review of quantitative studies

Baker, David and Perez Algorta, Guillermo Daniel (2016) The relationship between online social networking and depression : a systematic review of quantitative studies. Cyberpsychology, Behavior, and Social Networking, 19 (11). pp. 638-648.

[thumbnail of BakerManuscript_v2]
Preview
PDF (BakerManuscript_v2)
BakerManuscript_v2.pdf - Accepted Version

Download (291kB)

Abstract

Online social networking sites (SNSs) such as Facebook, Twitter, and MySpace are used by billions of people every day to communicate and interact with others. There has been increasing interest in the potential impact of online social networking on wellbeing, with a broadening body of new research into factors associated with both positive and negative mental health outcomes such as depression. This systematic review of empirical studies (n=30) adds to existing research in this field by examining current quantitative studies focused on the relationship between online social networking and symptoms of depression. The academic databases PsycINFO, Web of Science, CINAHL, MEDLINE, and EMBASE were searched systematically using terms related to online social networking and depression. Reporting quality was critically appraised and the findings discussed with reference to their wider implications. The findings suggest that the relationship between online social networking and symptoms of depression may be complex and associated with multiple psychological, social, behavioral, and individual factors. Furthermore, the impact of online social networking on wellbeing may be both positive and negative, highlighting the need for future research to determine the impact of candidate mediators and moderators underlying these heterogeneous outcomes across evolving networks.

Item Type:
Journal Article
Journal or Publication Title:
Cyberpsychology, Behavior, and Social Networking
Additional Information:
Final publication is available from Mary Ann Liebert, Inc., publishers http://dx.doi.org/10.1089/cyber.2016.0206
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/3300/3315
Subjects:
?? communicationgeneral medicinecomputer science applicationssocial psychologyhuman-computer interactionapplied psychologymedicine(all) ??
ID Code:
82192
Deposited By:
Deposited On:
02 Nov 2016 10:06
Refereed?:
Yes
Published?:
Published
Last Modified:
05 Dec 2024 00:34