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Cited by 351Impact of Technology on AdolescentsMental Health via WritingAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Passive and Active Social Media Use and Depressive Symptoms Among United States Adults

Escobar-Viera, César G., Shensa, Ariel, Bowman, Nicholas D., Sidani, Jaime E., Knight, Jennifer, James, A. Everette, Primack, Brian A.·2018·Cyberpsychology, Behavior, and Social Networking
DOI 10.1089/cyber.2017.0668
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Abstract

Social media allows users to explore self-identity and express emotions or thoughts. Research looking into the association between social media use (SMU) and mental health outcomes, such as anxiety or depressive symptoms, have produced mixed findings. These contradictions may best be addressed by examining different patterns of SMU as they relate to depressive symptomatology. We sought to assess the independent associations between active versus passive SMU and depressive symptoms. For this, we conducted an online survey of adults 18-49 of age. Depressive symptoms were measured using the Patient-Reported Outcomes Measurement Information System brief depression scale. We measured active and passive SMU with previously developed items. Factor analysis was used to explore the underlying factor structure. Then, we used ordered logistic regression to assess associations between both passive and active SMU and depressive symptoms while controlling for sociodemographic covariates. Complete data were received from 702 participants. Active and passive SMU items loaded on separate factors. In multivariable analyses that controlled for all covariates, each one-point increase in passive SMU was associated with a 33 percent increase in depressive symptoms (adjusted odds ratio [AOR] = 1.33, 95 percent confidence interval [CI] = 1.17-1.51). However, in the same multivariable model, each one-point increase in active SMU was associated with a 15 percent decrease in depressive symptoms (AOR = 0.85, 95 percent CI = 0.75-0.96). To inform interventions, future research should determine directionality of these associations and investigate related factors.

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Research works printed but not linked: 4

  1. Pantic I, 2012, Psychiatria Danubina, 24, 90
  2. De Choudhury M, 2014, Proceedings of the Eight International AAAI Conference on Weblogs and Social Media, 71
  3. Bartlett MS, 1938, Nature, 141, 609
  4. Mogilner C, 2018, Handbook of well-being

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Metadata

Authors
Escobar-Viera, C. G., Shensa, A., Bowman, N. D., Sidani, J. E., Knight, J., James, A. E., & Primack, B. A.
Affiliations
  • University of Pittsburgh (US)
  • West Virginia University (US)
Corresponding author
Escobar-Viera, César G.
ORCID
Venue
Cyberpsychology, Behavior, and Social Networking
Publisher
SAGE Publications
Published
2018-07
Volume
21
Issue
7
Pages
437-443
ISSN
  • 2152-2715 (ISSN-L)
  • 2152-2723
DOI
10.1089/cyber.2017.0668
OpenAlex
W2857729476
Cited by
351
References
54
Citations by year
2026: 32 · 2025: 41 · 2024: 61 · 2023: 48 · 2022: 62 · 2021: 50 · 2020: 37 · 2019: 18 · 2018: 1
FWCI
60.17
Type
journal article
Language
en
Open access
closed
Licence
www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/ (tdm)
Locations
  • Cyberpsychology Behavior and Social Networking (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Social Psychology › Mental Health via Writing
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
social media use, passive social media use, active social media use, depressive symptoms, mental health, adolescents and young adults
MeSH terms
Adolescent, Adult, Anxiety, Depression, Female, Humans, Male, Middle Aged, Psychiatric Status Rating Scales, Surveys and Questionnaires, United States, Logistic Models, Young Adult, Social Media

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