Evidence map›Paper›PMID 33309454›Full record

ArticleAmerican journal of preventive medicine2021

Temporal Associations Between Social Media Use and Depression.

Brian A Primack, Ariel Shensa, Jaime E Sidani, César G Escobar-Viera, Michael J Fine

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
17.4field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

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  11. Time and Frequency of Social Media Use and Loneliness Among U.S. Adults.International journal of environmental research and public health · 2025
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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

5 authors at 3 institutions in 1 country.

Brian A PrimackCollege of Education and Health Professions, University of Arkansas, Fayetteville, Arkansas. Electronic address: bprimack@uark.edu.
Ariel ShensaDepartment of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Jaime E SidaniDepartment of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
César G Escobar-VieraDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Michael J FineCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
University of Pittsburgh · USUniversity of Arkansas at Fayetteville · USVA Pittsburgh Healthcare System · US

Funding

Social Media Use and Depression Outcomes among U.S. Lesbian, Gay, and Bisexual Young AdultsR00MD012813 · NIMHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ESCOBAR-VIERA, CÉSAR GABRIEL · 2020 to 2022
$741k
NIMHD NIH HHS R00 MD012813
6 · The paper itself

Abstract

introductionPrevious studies have demonstrated cross-sectional associations between social media use and depression, but their temporal and directional associations have not been reported.

methodsIn 2018, participants aged 18-30 years were recruited in proportion to U.S. Census characteristics, including age, sex, race, education, household income, and geographic region. Participants self-reported social media use on the basis of a list of the top 10 social media networks, which represent >95% of social media use. Depression was assessed using the 9-Item Patient Health Questionnaire. A total of 9 relevant sociodemographic covariates were assessed. All measures were assessed at both baseline and 6-month follow-up.

resultsAmong 990 participants who were not depressed at baseline, 95 (9.6%) developed depression by follow-up. In multivariable analyses conducted in 2020 that controlled for all covariates and included survey weights, there was a significant linear association (p<0.001) between baseline social media use and the development of depression for each level of social media use. Compared with those in the lowest quartile, participants in the highest quartile of baseline social media use had significantly increased odds of developing depression (AOR=2.77, 95% CI=1.38, 5.56). However, there was no association between the presence of baseline depression and increasing social media use at follow-up (OR=1.04, 95% CI=0.78, 1.38). Results were robust to all sensitivity analyses.

conclusionsIn a national sample of young adults, baseline social media use was independently associated with the development of depression by follow-up, but baseline depression was not associated with an increase in social media use at follow-up. This pattern suggests temporal associations between social media use and depression, an important criterion for causality.

Indexed as

Social MediaCross-Sectional StudiesDepressionHumansSocial NetworkingSurveys and QuestionnairesYoung Adult

Identifiers

PMID33309454
PMCPMC8261713
OpenAlexW3112912537

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.