Evidence map›Paper›PMID 34354907›Full record

ArticlePreventive medicine reports2021

Digital media use and suicidal behavior in U.S. adolescents, 2009-2017.

Adam M Leventhal, Junhan Cho, Katherine M Keyes, Jennifer Zink, Kira E Riehm, Yi Zhang, Elizabeth Ketema

Abstract read
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Adam M LeventhalDepartment of Preventive Medicine, University of Southern California Keck School of Medicine, 2001 N Soto Street, Los Angeles, CA 90089, USA.
Junhan ChoDepartment of Preventive Medicine, University of Southern California Keck School of Medicine, 2001 N Soto Street, Los Angeles, CA 90089, USA.
Katherine M KeyesDepartment of Epidemiology, Columbia University, 722 West 168th Street, New York, NY 10032, USA.
Jennifer ZinkDepartment of Preventive Medicine, University of Southern California Keck School of Medicine, 2001 N Soto Street, Los Angeles, CA 90089, USA.
Kira E RiehmDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, 624 North Broadway, Baltimore, MD 21205, USA.
Yi ZhangDepartment of Preventive Medicine, University of Southern California Keck School of Medicine, 2001 N Soto Street, Los Angeles, CA 90089, USA.
Elizabeth KetemaDepartment of Psychiatry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92037, USA.

Funding

Training grant for Cancer Control and EpidemiologyT32CA009492 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN · 1985 to 2019
$7.4M
As adolescent substance use declines, internalizing symptoms increase: identifying high-risk substance using groups and the role of social media, parental supervision, and unsupervised timeR01DA048853 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2019 to 2023
$2.0M
Mental Health Services and Systems Training ProgramT32MH109436 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Matthew Eisenberg, Elizabeth A. Stuart · 2017 to 2026
$1.7M
Tobacco Use Treatment Research for Vulnerable PopulationsK24DA048160 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam Matthew Leventhal · 2019 to 2026
$1.4M
NCI NIH HHS T32 CA009492NIDA NIH HHS K24 DA048160NIDA NIH HHS R01 DA048853NIMH NIH HHS T32 MH109436
6 · The paper itself

Abstract

U.S. adolescent suicidal behavior and digital media use prevalence have contemporaneously increased this decade in population-level ecological analyses. The purpose of this study was to determine whether these two trends are directly associated by using multi-year person-level data to test whether the association of year with suicidal behavior was mediated by digital media use. Data were from the Youth Risk Behavior Surveillance System (2009-2017), a nationally-representative biennial cross-sectional self-report survey of U.S. students (N = 72,942). Mediation analysis was used to estimate the proportion of cross-year changes in suicidal behavior that were mediated by concurrent changes in leisure-time digital media use. Past-year suicidal behavior in 2011 (19.6%), 2013 (20.4%), 2015 (21.7%), and 2017 (20.5%) increased relative to 2009 (17.1%). Hours of daily digital media use in 2011 (mean[SD] = 2.65[1.86]), 2013 (mean[SD] = 3.02[2.08]), 2015 (mean[SD] = 2.97[2.12]), and 2017 (mean[SD] = 3.01[2.18) increased vs. 2009 (mean[SD] = 2.31[1.81]). The association of survey year with suicidal behavior was mediated by digital media use-20.5%(95%CI = 16.2, 24.8), 34.3%(95%CI = 24.5, 44.1), 22.8%(95%CI = 17.3, 28.0), and 41.4%(95%CI = 33.9, 49.5) of cross-year suicidal behavior prevalence increases (vs. 2009) for 2011, 2013, 2015, and 2017, respectively, were mediated by concurrent digital media use increases. Therefore, small proportions of the 2009-2017 increases in U.S. adolescent suicidal behavior are associated with concurrent increasing digital media use trends. Further exploration of these trends is warranted.

Indexed as

CDC, Centers for Disease Control and PreventionCI, confidence intervalEpidemiologyMental healthOR, odds ratioScreen timeSuicideU.S, United StatesYRBSS, Youth Risk Behavior Surveillance System

Identifiers

PMID34354907
PMCPMC8322454

What OpenQuestion holds

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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.