Evidence map›Paper›PMID 27732077›Full record

ArticleCyberpsychology, behavior and social networking2016

Associations Between Internet-Based Professional Social Networking and Emotional Distress.

Jacquelynn R Jones, Jason B Colditz, Ariel Shensa, Jaime E Sidani, Liu Yi Lin, Martha Ann Terry, Brian A Primack

Abstract read
In one paragraph

Article in Cyberpsychology, behavior and social networking, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Jacquelynn R JonesDepartment of Behavioral and Community Health Sciences, University of Pittsburgh Graduate School of Public Health , Pittsburgh, Pennsylvania.
Jason B ColditzCenter for Research on Media, Technology, and Health, University of Pittsburgh , Pittsburgh, Pennsylvania.
Ariel ShensaCenter for Research on Media, Technology, and Health, University of Pittsburgh , Pittsburgh, Pennsylvania.
Jaime E SidaniCenter for Research on Media, Technology, and Health, University of Pittsburgh , Pittsburgh, Pennsylvania.
Liu Yi LinCenter for Research on Media, Technology, and Health, University of Pittsburgh , Pittsburgh, Pennsylvania.
Martha Ann TerryDepartment of Behavioral and Community Health Sciences, University of Pittsburgh Graduate School of Public Health , Pittsburgh, Pennsylvania.
Brian A PrimackCenter for Research on Media, Technology, and Health, University of Pittsburgh , Pittsburgh, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Professional social networking websites are commonly used among young professionals. In light of emerging concerns regarding social networking use and emotional distress, the purpose of this study was to investigate the association between frequency of use of LinkedIn, the most commonly used professional social networking website, and depression and anxiety among young adults. In October 2014, we assessed a nationally representative sample of 1,780 U.S. young adults between the ages of 19-32 regarding frequency of LinkedIn use, depression and anxiety, and sociodemographic covariates. We measured depression and anxiety using validated Patient-Reported Outcomes Measurement Information System measures. We used bivariable and multivariable logistic regression to assess the association between LinkedIn use and depression and anxiety, while controlling for age, sex, race, relationship status, living situation, household income, education level, and overall social media use. In weighted analyses, 72% of participants did not report use of LinkedIn, 16% reported at least some use, but less than once each week, and 12% reported use at least once per week. In multivariable analyses controlling for all covariates, compared with those who did not use LinkedIn, participants using LinkedIn at least once per week had significantly greater odds of increased depression (adjusted odds ratio [AOR] = 2.10, 95% confidence interval [CI] = 1.31-3.38) and increased anxiety (AOR = 2.79, 95% CI = 1.72-4.53). LinkedIn use was significantly related to both outcomes in a dose-response manner. Future research should investigate directionality of this association and possible reasons for it.

Indexed as

Social NetworkingAdultAnxietyDepressionEmploymentFemaleHumansMaleSocial MediaStress, PsychologicalYoung AdultanxietydepressionInternetLinkedInnetworkingsocial media

Identifiers

PMID27732077
PMCPMC5067824

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.