Evidence map›Paper›PMID 30269907›Full record

ArticleThe Journal of adolescent health : official publication of the Society for Adolescent Medicine2019

Patterns of Social Media Use and Their Relationship to Health Risks Among Young Adults.

Vinu Ilakkuvan, Amanda Johnson, Andrea C Villanti, W Douglas Evans, Monique Turner

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
26.1field-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

26 citing papers in PubMed, 100 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Vinu IlakkuvanMilken Institute School of Public Health, George Washington University, Washington, District of Columbia. Electronic address: vilakkuvan@gwu.edu.
Amanda JohnsonSchroeder Institute at Truth Initiative, Washington, District of Columbia.
Andrea C VillantiVermont Center on Behavior & Health, University of Vermont, Burlington, Vermont.
W Douglas EvansMilken Institute School of Public Health, George Washington University, Washington, District of Columbia.
Monique TurnerMilken Institute School of Public Health, George Washington University, Washington, District of Columbia.
Milken Institute · USAmerican Legacy Foundation · USUniversity of Vermont · US

Funding

Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HIGGINS, STEPHEN T · 2013 to 2022
$21.3M
NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

purposeSocial media use is pervasive among young adults, and different sites have different purposes, features, and audiences. This study identified classes of young adults based on what combination of sites they use and how frequently, and compared their health risk factors and behaviors.

methodsLatent profile models were developed based on frequency of using 10 sites from a national sample of young adults aged 18-24 years (n = 1,062). Bivariate analyses and multivariable regressions examined the relationship between class membership and alcohol, tobacco, and other drug (ATOD) use, and symptoms of depression and anxiety.

resultsThe optimal model identified five classes: Low Users (7.9%), High Users (63.1%), Professional Users - high use of LinkedIn (10.1%), Creative Users - high use of Vine and Tumblr (11.5%), and Mainstream Users - high use of Facebook and YouTube (7.4%). Classes differed significantly on ATOD use and depressive symptoms. Compared to High Users, Creative Users had higher odds of using most substances and lower odds of depressive symptoms, Mainstream Users had higher odds of substances used socially (alcohol and hookah), Professional Users had higher odds of using alcohol, cigarettes, and cigars, and Low Users had higher odds of using other drugs (e.g., cocaine and heroin).

conclusionsA young adult's social media site use profile is associated with ATOD use and depressive symptoms. Use and co-use of certain sites may influence the volume and nature of ATOD-related content and norms young adults experience in social media. Targeting interventions to sites selected based on use patterns associated with each health risk may be effective.

Indexed as

Health Risk BehaviorsAdolescentAdultAlcohol DrinkingAnxiety DisordersCross-Sectional StudiesHumansLatent Class AnalysisLongitudinal StudiesMajor Depressive DisorderSelf ReportSocial MediaTobacco UseYoung AdultAlcohol consumptionDepressionHealth communicationRisk takingSocial mediaSubstance abuseTobacco useYoung adult

Identifiers

PMID30269907
PMCPMC12833830
OpenAlexW2894113567

What OpenQuestion holds

Textmetadata
LicenceTDM
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.