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    Rights statement: Final publication is available from Mary Ann Liebert, Inc., publishers http://dx.doi.org/10.1089/cyber.2016.0206

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

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The relationship between online social networking and depression: a systematic review of quantitative studies. / Baker, David; Perez Algorta, Guillermo Daniel.
In: Cyberpsychology, Behavior, and Social Networking, Vol. 19, No. 11, 01.11.2016, p. 638-648.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Baker D, Perez Algorta GD. The relationship between online social networking and depression: a systematic review of quantitative studies. Cyberpsychology, Behavior, and Social Networking. 2016 Nov 1;19(11):638-648. Epub 2016 Oct 12. doi: 10.1089/cyber.2016.0206

Author

Baker, David ; Perez Algorta, Guillermo Daniel. / The relationship between online social networking and depression : a systematic review of quantitative studies. In: Cyberpsychology, Behavior, and Social Networking. 2016 ; Vol. 19, No. 11. pp. 638-648.

Bibtex

@article{35170a51ee5548608a7c241052115521,
title = "The relationship between online social networking and depression: a systematic review of quantitative studies",
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.",
author = "David Baker and {Perez Algorta}, {Guillermo Daniel}",
note = "Final publication is available from Mary Ann Liebert, Inc., publishers http://dx.doi.org/10.1089/cyber.2016.0206",
year = "2016",
month = nov,
day = "1",
doi = "10.1089/cyber.2016.0206",
language = "English",
volume = "19",
pages = "638--648",
journal = "Cyberpsychology, Behavior, and Social Networking",
publisher = "Mary Ann Liebert Inc.",
number = "11",

}

RIS

TY - JOUR

T1 - The relationship between online social networking and depression

T2 - a systematic review of quantitative studies

AU - Baker, David

AU - Perez Algorta, Guillermo Daniel

N1 - Final publication is available from Mary Ann Liebert, Inc., publishers http://dx.doi.org/10.1089/cyber.2016.0206

PY - 2016/11/1

Y1 - 2016/11/1

N2 - 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.

AB - 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.

U2 - 10.1089/cyber.2016.0206

DO - 10.1089/cyber.2016.0206

M3 - Journal article

VL - 19

SP - 638

EP - 648

JO - Cyberpsychology, Behavior, and Social Networking

JF - Cyberpsychology, Behavior, and Social Networking

IS - 11

ER -