Evidence map›Paper›PMID 32198982›Full record

ArticleAutism research : official journal of the International Society for Autism Research2020

Investigating Bullying as a Predictor of Suicidality in a Clinical Sample of Adolescents with Autism Spectrum Disorder.

Rachel Holden, Joanne Mueller, John McGowan, Jyoti Sanyal, Maxim Kikoler, Emily Simonoff, Sumithra Velupillai, Johnny Downs

Abstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Lifetime stressor exposure is related to suicidality in autistic adults: A multinational study.Autism : the international journal of research and practice · 2025
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  12. Stressful life events in electronic health records: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024
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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

8 authors.

Rachel HoldenNIHR South London and Maudsley NHS Foundation Trust, Biomedical Research Centre, London, UK.
Joanne MuellerNIHR South London and Maudsley NHS Foundation Trust, Biomedical Research Centre, London, UK.
John McGowanCanterbury Christ Church University, Canterbury, UK.
Jyoti SanyalNIHR South London and Maudsley NHS Foundation Trust, Biomedical Research Centre, London, UK.
Maxim KikolerCanterbury Christ Church University, Canterbury, UK.
Emily SimonoffNIHR South London and Maudsley NHS Foundation Trust, Biomedical Research Centre, London, UK.
Sumithra VelupillaiNIHR South London and Maudsley NHS Foundation Trust, Biomedical Research Centre, London, UK.
Johnny DownsNIHR South London and Maudsley NHS Foundation Trust, Biomedical Research Centre, London, UK.ORCID 0000-0002-8061-295X

Funding

Medical Research Council MR/L017105/1Medical Research Council MR/P019293/1Medical Research Council MR/R000832/1
6 · The paper itself

Abstract

For typically developing adolescents, being bullied is associated with increased risk of suicidality. Although adolescents with autism spectrum disorder (ASD) are at increased risk of both bullying and suicidality, there is very little research that examines the extent to which an experience of being bullied may increase suicidality within this specific population. To address this, we conducted a retrospective cohort study to investigate the longitudinal association between experiencing bullying and suicidality in a clinical population of 680 adolescents with ASD. Electronic health records of adolescents (13-17 years), using mental health services in South London, with a diagnosis of ASD were analyzed. Natural language processing was employed to identify mentions of bullying and suicidality in the free text fields of adolescents' clinical records. Cox regression analysis was employed to investigate the longitudinal relationship between bullying and suicidality outcomes. Reported experience of bullying in the first month of clinical contact was associated with an increased risk suicidality over the follow-up period (hazard ratio = 1.82; 95% confidence interval = 1.28-2.59). In addition, female gender, psychosis, affective disorder diagnoses, and higher intellectual ability were all associated with suicidality at follow-up. This study is the first to demonstrate the strength of longitudinal associations between bullying and suicidality in a clinical population of adolescents with ASD, using automated approaches to detect key life events within clinical records. Our findings provide support for identifying and dealing with bullying in schools, and for antibullying strategy's incorporation into wider suicide prevention programs for young people with ASD. Autism Res 2020, 13: 988-997. © 2020 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. LAY SUMMARY: We investigated the relationship between bullying and suicidality in young people with autism spectrum disorder (ASD). We examined the clinical records of adolescents (aged 13-18 years old) with ASD in South London who were receiving treatment from Child and Adolescent Mental Health Services. We found that if they reported being bullied in the first month after they were first seen by mental health services, they were nearly twice as likely to go on to develop suicidal thoughts or behaviors.

Indexed as

AdolescentAutism Spectrum DisorderBullyingFemaleHumansLondonMaleRetrospective StudiesSuicideadolescentsclinical psychiatrycomorbid conditionsdata-driven techniquesepidemiologylongitudinal data analysis

Identifiers

PMID32198982
PMCPMC8647922

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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.