Evidence map›Paper›PMID 35066010›Full record

ArticleJournal of affective disorders2022

Correlates of deliberate self-harm among youth with bipolar disorder.

Elyse N Llamocca, Mary A Fristad, Jeffrey A Bridge, Guy Brock, Danielle L Steelesmith, David A Axelson, Cynthia A Fontanella

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Measurement-Based Care Benchmarks and Bipolar Classification in ABCD Youth.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Article
  5. 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 at 1 institution in 1 country.

Elyse N LlamoccaDivision of Epidemiology, The Ohio State University, Columbus, OH, USA; Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA.
Mary A FristadDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA; Big Lots Behavioral Health Services and Division of Child and Family Psychiatry, Nationwide Children's Hospital, Columbus, OH, USA.
Jeffrey A BridgeDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA; Department of Pediatrics, The Ohio State University, Columbus, OH, USA; Center for Suicide Prevention and Research, The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA.
Guy BrockDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Danielle L SteelesmithDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA.
David A AxelsonDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA; Department of Psychiatry, Nationwide Children's Hospital, Columbus, OH, USA.
Cynthia A FontanellaDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA. Electronic address: cynthia.fontanella@osumc.edu.
The Ohio State University · US

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
Identifying Periods of High Risk and Predictors of Suicide for Youth in Public Child Serving SystemsR01MH117594 · NIMH · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI BRIDGE, JEFFREY A, FONTANELLA, CYNTHIA ANN · 2018 to 2021
$1.7M
NCATS NIH HHS UL1 TR002733NIMH NIH HHS R01 MH117594
6 · The paper itself

Abstract

objectiveYouth with bipolar disorder (BD) are at high risk for deliberate self-harm (DSH) and suicide. However, research regarding factors associated with DSH, a key suicide risk factor, among youth with BD is limited. In a population-based sample of youth with BD, we therefore investigated associations between demographic, clinical, and service utilization factors and DSH incidence and compared suicide, unintentional injury, and all-cause mortality to the general population.

methodWe analyzed a retrospective cohort of youth aged 5 to 19 years with a new BD episode between 2010 and 2017 (n = 25,244) using Ohio Medicaid claims and death certificate data. Cox proportional hazards models examined associations between different factors and DSH. Mortality rates were compared to the general population using standardized mortality ratios.

resultsDuring follow-up, 1,517 (6.0%) youth had at least one DSH event. Older index age, female sex, comorbid psychiatric/medical conditions, prior DSH/suicidal ideation, and prior ER mental healthcare were associated with increased DSH risk. Prior DSH was most strongly associated with increased DSH risk for 3 months after a new BD episode. Being non-Hispanic Black (vs. White, non-Hispanic) and prior psychiatric hospitalization were associated with decreased DSH hazard. DSH risk was highest for 3 months after a new BD episode. Suicide, unintentional injury, and all-cause mortality rates were elevated in youth with BD. LIMITATIONS: May not generalize to other states or non-Medicaid populations; claims data cannot distinguish suicidal intent of self-harm

conclusionEarly intervention following a new BD episode, particularly among high-risk groups, is key to prevent DSH.

Indexed as

Bipolar DisorderSelf-Injurious BehaviorSuicideAdolescentAdultChildChild, PreschoolFemaleHumansRetrospective StudiesRisk FactorsSuicidal IdeationYoung AdultAdolescentBipolar disorderChildDeliberate self-harmEpidemiology

Identifiers

PMID35066010
PMCPMC8957063
OpenAlexW4206483291

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.