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Record W4303986574 · doi:10.1177/10664807221131007

Oppositional Defiant Disorder and ADHD Symptoms as Predictors of Parenting Stress in Mothers of Sons With Autism Spectrum Disorders

2022· article· en· W4303986574 on OpenAlexaff
Karis Cochrane, Dana Ronaghan, Olivia Cadieux, Michelle Ward, Brenna Henrikson, Jennifer Theule

Bibliographic record

VenueThe Family Journal · 2022
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsDalhousie UniversityUniversity of Manitoba
Fundersnot available
KeywordsAutism spectrum disorderPsychologyAttention deficit hyperactivity disorderClinical psychologyAutismPsychological interventionMultilevel modelConduct disorderDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Parents of children with autism spectrum disorders (ASD) experience very heightened levels of parenting stress. Symptoms of ASD, attention deficit hyperactivity disorder (ADHD), and oppositional defiant disorder (ODD) vary in children diagnosed with ASD. The current study examined ASD, ADHD, and ODD symptoms in an ASD sample through a hierarchical linear regression to determine which symptoms accounted for the greatest proportion of unshared variance in parenting stress. A total of 84 mothers of sons with ASD participated in an online survey. Findings showed that symptoms associated with ODD accounted for the largest proportion of unshared variance in parenting stress. Symptoms associated with ADHD and ASD did not account for any additional variance in parenting stress above and beyond that explained by ODD symptoms. Interventions for children with ASD should focus on reducing externalizing behaviors to reduce parenting stress.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.290
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2022
Admission routes1
Has abstractyes

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