Evidence map›Paper›PMID 34057422›Full record

ArticleJMIR formative research2021

Displayed Depression Symptoms on Facebook at Two Time Points: Content Analysis.

Megan A Moreno, Quintin Gaus, Megan Wilt, Alina Arseniev-Koehler, Adrienne Ton, Molly Adrian, Ann VanderStoep

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Megan A MorenoDepartment of Pediatrics, University of Wisconsin-Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0003-2767-0787
Quintin GausDepartment of Pediatrics, University of Wisconsin-Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0002-0945-8814
Megan WiltDepartment of Nursing, St Catherine University, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0003-1209-1731
Alina Arseniev-KoehlerDepartment of Sociology, University of California, Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0003-2544-5607
Adrienne TonDepartment of Nursing, Columbia University, New York, NY, United States.ORCID https://orcid.org/0000-0001-6535-3147
Molly AdrianDepartment of Psychiatry, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-6415-4434
Ann VanderStoepDepartment of Psychiatry, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0001-9496-9661
University of Washington · USUniversity of Wisconsin–Madison · USColumbia University · USSt. Catherine University · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a prevalent and problematic mental disorder that often has an onset in adolescence. Previous studies have illustrated that depression disclosures on social media are common and may be linked to an individual's experiences of depression. However, most studies have examined depression displays on social media at a single time point.

objectiveThis study aims to investigate displayed depression symptoms on Facebook at 2 developmental time points based on symptom type and gender.

methodsParticipants were recruited from an ongoing longitudinal cohort study. The content analysis of text-based Facebook data over 1 year was conducted at 2 time points: time 1 (adolescence; age 17-18 years) and time 2 (young adulthood; ages 20-22 years). Diagnostic criteria for depression were applied to each post to identify the displayed depression symptoms. Data were extracted verbatim. The analysis included nonparametric tests for comparisons.

resultsA total of 78 participants' Facebook profiles were examined, of which 40 (51%) were male. At time 1, 62% (48/78) of the adolescents had a Facebook profile, and 54% (26/78) displayed depression symptom references with an average of 9.4 (SD 3.1) references and 3.3 (SD 2.3) symptom types. Of the 78 participants, 15 (19%) females and 12 (15%) males displayed depression symptom references; these prevalence estimates were not significantly different by gender (P=.59). At time 2, 35 young adults displayed symptoms of depression with an average of 4.6 (SD 2.3) references and 2.4 (SD 1.3) symptom types. There were no differences in the prevalence of symptoms of depression displayed between males (n=19) and females (n=16; P=.63).

conclusionsThis content analysis study within an ongoing cohort study illustrates the differences in depression displays on Facebook by developmental stage and symptom. This study contributes to a growing body of literature by showing that using social media to observe and understand depression during the emerging adult developmental period may be a valuable approach.

Indexed as

adolescentscontent analysisdepressionFacebooksocial media

Identifiers

PMID34057422
PMCPMC8204233
OpenAlexW3135929928

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.