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Record W4252708853 · doi:10.1111/dmcn.73_13224

Children with autism spectrum disorders experience disparities in exposure to family and neighborhood adversity

2016· article· en· W4252708853 on OpenAlexfundno aff
Michael E. Msall, Katy Berg, Cheng‐Shi Shiu, Krishna Acharya, Christine Imms, Claire Kerr, Kerry Evans, Sarah Foley

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsAutismPsychologyAutism spectrum disorderAutistic spectrumPsychiatryClinical psychologyMedicine

Abstract

fetched live from OpenAlex

were documented and developmental (Leiter-IQ, Movement-ABC, Strengths and Difficulties Questionnaire) and functional (Vineland) status was assessed.Relationships between service utilization and socio-demographic factors and level of functioning were evaluated.Results: Developmental profile of the two high-risk groups (CHD/Preterm) were remarkably similar with mean IQ of 91.1/91.2(25-30% IQ < 80), 40.2%/50.0%motor difficulties, and 23.2%/22.9%behavior problems.One third was receiving educational supports in regular schools or attended segregated schools.Parents indicated that 32.9%/28.6%repeated a school year.Only 16% of youth born preterm and 24.7% of youth with CHD were receiving specialty rehabilitation services; primarily one service only (psychology and special education most common).Services were provided predominantly in the school setting, typically weekly.Few were receiving OT (CHD: 1.2%; preterm: 7.6%) or PT (CHD: 6.2%; preterm: 5.1%), in spite of a high prevalence of motor and functional limitations.Maternal education was associated with need for educational support.Brief IQ < 70 was significantly associated with receiving educational supports (CHD: b = 1.8, p = 0.017; preterm: b = 2.7, p = 0.001) and rehabilitation services (CHD: b = 1.6, p = 0.028; preterm: b = 1.6, p = 0.013).Youth with motor deficits were more likely to require educational supports (CHD: b = 1.8, p = 0.001; preterm: b = 1.1, p = 0.004) and rehabilitation services (preterm only: b = 1.4,p = 0.023) than those without.Greater activity limitations across domains were associated with educational and rehabilitation service use.Conclusions/Significance: Persisting cognitive, motor and behavior problems were common manifestations in adolescents born either preterm or with a CHD, with remarkably similar profiles.Although youth with developmental impairments were more likely to receive educational and rehabilitation services, many were not adequately supported, particularly by rehabilitation specialists.Rehabilitation services at this important transition phase could be beneficial in optimizing adaptive functioning in the home, school and community.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.263
Teacher spread0.250 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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