Evidence map›Paper›PMID 34542614›Full record

ArticleJAMA network open2021

Association of Online Risk Factors With Subsequent Youth Suicide-Related Behaviors in the US.

Steven A Sumner, Brock Ferguson, Brian Bason, Jacob Dink, Ellen Yard, Marci Hertz, Brandon Hilkert, Kristin Holland, Melissa Mercado-Crespo, Shichao Tang and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Role of pets and animal assisted therapy in suicide prevention.Annals of medicine and surgery (2012) · 2022
    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

11 authors.

Steven A SumnerNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.
Brock FergusonBark, Atlanta, Georgia.
Brian BasonBark, Atlanta, Georgia.
Jacob DinkBark, Atlanta, Georgia.
Ellen YardDivision of Injury Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Marci HertzDivision of Adolescent and School Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Brandon HilkertBark, Atlanta, Georgia.
Kristin HollandDivision of Overdose Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Melissa Mercado-CrespoDivision of Violence Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Shichao TangDivision of Violence Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Christopher M JonesNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The association between online activities and youth suicide is an important issue for parents, clinicians, and policy makers. However, most information exploring potential associations is drawn from survey data and mainly focuses on risk related to overall screen time. Objective: To evaluate the association between a variety of online risk factors and youth suicide-related behavior using real-world online activity data. Design, Setting, and Participants: A matched case-control study was conducted from July 27, 2019, to May 26, 2020, with the sample drawn from more than 2600 US schools participating in an online safety monitoring program via the Bark online safety tool. For 227 youths having a severe suicide/self-harm alert requiring notification of school administrators, cases were matched 1:5 to 1135 controls on location, the amount of follow-up time, and general volume of online activity. Exposures: Eight potential online risk factors (cyberbullying, violence, drug-related, hate speech, profanity, sexual content, depression, and low-severity self-harm) through assessment of text, image, and video data. Main Outcomes and Measures: Severe suicide/self-harm alert requiring notification of school administrators; severe suicide alerts are statements by youths indicating imminent or recent suicide attempts and/or self-harm. Results: The 1362 participants had a mean (SD) age of 13.3 (2.41) years; 699 (51.3%) were male. All 8 online risk factors studied exhibited differences between case and control populations and were significantly associated with subsequent severe suicide/self-harm alerts when examining total direct and indirect pathways. These associations ranged from an adjusted odds ratio (aOR) of 1.17 (95% CI, 1.09-1.26) for drug-related content to an aOR of 1.82 (95% CI, 1.63-2.03) for depression-related content. When considering the total number of different types of online risk factors among the 8 measured, there was an exponentially larger risk of severe suicide/self-harm alerts; youths with 5 or more of the 8 risk factors present in their online activity had a more than 70-fold increased odds of subsequently having a severe suicide/self-harm alert (aOR, 78.64; 95% CI, 34.39-179.84). Conclusions and Relevance: The findings of this study suggest that many discrete types of risk factors are identifiable from online data and associated with subsequent youth suicide-related behavior. Although each risk factor carries a specific association with suicide-related behavior, the greatest risk is evident for youths demonstrating multiple types of online risk factors.

Indexed as

Internet UseRisk-TakingAdolescentCase-Control StudiesCyberbullyingDepressionFemaleHumansMaleRisk FactorsSelf ConceptSelf-Injurious BehaviorSubstance-Related DisordersSuicide, AttemptedViolence

Identifiers

PMID34542614
PMCPMC8453319

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.