The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies

被引:182
作者
Baker, David A. [1 ]
Algorta, Guillermo Perez [2 ]
机构
[1] Univ Lancaster, Fac Hlth & Med, Clin Psychol, Lancaster, England
[2] Univ Lancaster, Fac Hlth & Med, Div Hlth Res, Spectrum Ctr Mental Hlth Res, C73 Furness Bldg, Lancaster LA1 4YG, England
关键词
online social networking; depression; Facebook; rumination; social comparison; QUALITY-OF-LIFE; FACE-TO-FACE; COLLEGE-STUDENTS; YOUNG-ADULTS; INTERNET USE; BEHAVIORAL PHYSIOLOGY; PSYCHIATRIC-DISORDERS; SLEEP DISTURBANCES; ADDICTIVE USE; SYMPTOMS;
D O I
10.1089/cyber.2016.0206
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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.
引用
收藏
页码:638 / 648
页数:11
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