Evidence map›Paper›PMID 28797081›Full record

ArticlePloS one2017

Early life predictors of adolescent suicidal thoughts and adverse outcomes in two population-based cohort studies.

Jennifer Dykxhoorn, Simon Hatcher, Marie-Hélène Roy-Gagnon, Ian Colman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

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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

4 authors at 1 institution in 2 countries.

Jennifer DykxhoornSchool of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario Canada.ORCID http://orcid.org/0000-0001-6391-8626
Simon HatcherDepartment of Psychiatry, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Marie-Hélène Roy-GagnonSchool of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario Canada.
Ian ColmanSchool of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario Canada.
University of Ottawa · CA

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Wellcome Trust
6 · The paper itself

Abstract

backgroundUnderstanding suicidality has proven challenging given the complex aetiology in early childhood. Being able to accurately predict groups at increased risk of developing suicidal thoughts may aid in the development of targeted prevention programs that mitigate increased vulnerability. Further, the predictors of suicidal thoughts may be shared with other outcomes in adolescence. Previous research has linked many factors to suicidality, so the objective of this study was to consider how these factors may act together to increase risk of suicidal thoughts and other non-mental health outcomes.

methodsTwo longitudinal datasets were used in this analysis: the National Longitudinal Survey of Children and Youth (NLSCY) and the Avon Longitudinal Survey of Parents and Children (ALSPAC). A Classification and Regression Tree model comprised of 75 factors describing early childhood was constructed to identify subgroups of adolescents at high risk of suicidal thoughts in the NLSCY and was validated in ALSPAC. These subgroups were investigated to see if they also had elevated rates of antisocial behaviour, substance misuse, poor physical health, poor mental health, risky health behaviours, and/or poor academic performance.

resultsThe sensitivity was calculated to be 22·7%, specificity was 89·2%, positive predictive value 17·8%, and negative predictive value 91·8% and had similar accuracy in the validation dataset. The models were better at predicting other adverse outcomes compared to suicidal thoughts.

conclusionThere are groups of risk factors present in early life that can predict higher risk of suicidality in adolescence. Notably, these factors were also predictive of a range of adverse outcomes in adolescence.

Indexed as

SuicideAdolescentChildChild, PreschoolFemaleHumansLongitudinal StudiesMaleMental HealthRisk FactorsSuicidal Ideation

Identifiers

PMID28797081
PMCPMC5552309
OpenAlexW2743638843

What OpenQuestion holds

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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.