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Record W4391350500 · doi:10.1177/13623613231223626

Factors mediating pre-existing autism diagnosis and later suicidal thoughts and behaviors: A follow-up cohort study

2024· article· en· W4391350500 on OpenAlexafffund
Jung-Chi Chang, Meng‐Chuan Lai, Shu‐Sen Chang, Susan Shur‐Fen Gau

Bibliographic record

VenueAutism · 2024
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoCentre for Addiction and Mental Health
FundersCentre for Addiction and Mental Health Foundation
KeywordsAutismPsychologyCohortDevelopmental psychologyClinical psychologySuicidal behaviorCohort studyPoison controlHuman factors and ergonomicsPsychiatryMedicineMedical emergency

Abstract

fetched live from OpenAlex

Individuals diagnosed with autism spectrum disorder (ASD) are more likely to have suicidal thoughts and behaviors. However, little research delineates the temporal and mechanistic associations between potential risk factors and suicidality in autistic individuals. We assessed 129 autistic and 121 age-matched and sex-assigned-at-birth-matched typically developing (TD) children and youth at baseline and follow-up. We evaluated internalizing/externalizing problems, bullying experiences, and three executive function tasks at a mean baseline age of 13.4 years (standard deviation: 4.2 years). After an average of 5.8 years (standard deviation: 1.7 years), we evaluated their suicidal thoughts and behaviors. The experiences of being bullied partially mediated the temporal relationship between pre-existing ASD and later-reported suicidal thoughts. Several cognitive flexibility and sustained attention indices mediated the temporal relationship between pre-existing ASD and later-reported suicidal thoughts. A multiple mediation model confirmed that bullying victimization and cognitive flexibility jointly mediated the temporal relationship between ASD and suicidal thoughts. Better cognitive flexibility and experiences of bullying victimization in autistic children/youth were both associated with higher risks of later-reported suicidal thoughts in adolescence/adulthood. School bullying-prevention programs and tailored clinical support for autistic youth with better cognitive flexibility are warranted for personalized suicide prevention for the autistic population. Lay Abstract Autistic people are more likely to experience suicidal thoughts and behaviors. The underlying relationships between potential risk factors and suicidal thoughts and behaviors in autistic individuals remain unclear. To understand this, we investigated whether specific factors in childhood/youth explain the effects of pre-existing autism spectrum disorder (ASD) diagnoses on later suicidal thoughts and behaviors in adolescence/adulthood. We assessed internalizing and externalizing problems, bullying experiences, and executive functions (including cognitive flexibility, sustained attention, and spatial working memory) at an average baseline age of 13.4 years and suicidal thoughts and behaviors at an average follow-up age of 19.2 years among 129 autistic and 121 typically developing (TD) individuals. During the follow-up period in adolescence/adulthood, autistic individuals were more likely to report suicidal thoughts than TD individuals. Being bullied partially accounted for the relationship between a pre-existing ASD diagnosis and later-reported higher suicidal thoughts. Contrary to our hypothesis, higher (instead of lower) cognitive flexibility in some autistic young people appeared to partially explain their higher rates of suicidal thoughts compared with typically developing young people. The findings imply that school bullying prevention and tailored intervention programs for autistic people, especially those with higher cognitive flexibility, are warranted to reduce their risks of experiencing suicidal thoughts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.062
GPT teacher head0.350
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2024
Admission routes2
Has abstractyes

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