Evidence map›Paper›PMID 31697601›Full record

ArticleCyberpsychology, behavior and social networking2019

Are Aspects of Twitter Use Associated with Reduced Depressive Symptoms? The Moderating Role of In-Person Social Support.

David A Cole, Elizabeth A Nick, Gergely Varga, Darcy Smith, Rachel L Zelkowitz, Mallory A Ford, Ákos Lédeczi

Abstract read
In one paragraph

Article in Cyberpsychology, behavior and social networking, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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  10. A Call for a Public Health Agenda for Social Media Research.Journal of medical Internet research · 2019
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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

7 authors.

David A ColeDepartment of Psychology and Human Development, Vanderbilt University, Nashville, Tennessee.
Elizabeth A NickDepartment of Psychology and Human Development, Vanderbilt University, Nashville, Tennessee.
Gergely VargaDepartment of Computer Engineering, Vanderbilt University, Nashville, Tennessee.
Darcy SmithDepartment of Psychology and Human Development, Vanderbilt University, Nashville, Tennessee.
Rachel L ZelkowitzDepartment of Psychology and Human Development, Vanderbilt University, Nashville, Tennessee.
Mallory A FordDepartment of Psychology and Human Development, Vanderbilt University, Nashville, Tennessee.
Ákos LédecziDepartment of Computer Engineering, Vanderbilt University, Nashville, Tennessee.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a two-wave, 4-month longitudinal study of 308 adults, two hypotheses were tested regarding the relation of Twitter-based measures of online social media use and in-person social support with depressive thoughts and symptoms. For four of five measures, Twitter use by in-person social support interactions predicted residualized change in depression-related outcomes over time; these results supported a corollary of the social compensation hypothesis that social media use is associated with greater benefits for people with lower in-person social support. In particular, having a larger Twitter social network (i.e., following and being followed by more people) and being more active in that network (i.e., sending and receiving more tweets) are especially helpful to people who have lower levels of in-person social support. For the fifth measure (the sentiment of Tweets), no interaction emerged; however, a beneficial main effect offset the adverse main effect of low in-person social support.

Indexed as

Interpersonal RelationsSocial MediaSocial SupportAdultDepressionFemaleHumansLongitudinal StudiesMaleSeverity of Illness IndexYoung Adultdepressionrich-get-richersocial compensationsocial mediasocial supportTwitter

Identifiers

PMID31697601
PMCPMC6856941

What OpenQuestion holds

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Registered trials

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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.