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Record W2125222406 · doi:10.1352/1944-7558-117.6.455

A Comparison of the Prevalence of Chronic Disease Among People with and Without Intellectual Disability

2012· article· en· W2125222406 on OpenAlexaffabout
Diane Morin, Julie Mérineau‐Côté, Hélène Ouellette‐Kuntz, Marc J. Tassé, Michael Kerr

Bibliographic record

VenueAmerican Journal on Intellectual and Developmental Disabilities · 2012
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsIntellectual disabilityMedicineDiseaseGerontologyChronic diseaseEnvironmental healthPsychologyPhysical medicine and rehabilitationPsychiatryFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

Some studies have reported the presence of health disparities in people with intellectual disability. This study compared the prevalence of chronic health conditions between people with and without intellectual disability (ID). Health-related data for 791 people with ID were collected through a province-wide mail survey in Quebec, Canada. The distribution of chronic health conditions reported was compared to the data on the health status of the general population. People with ID had higher reported rates of heart disease and thyroid disorder than the general population. We also found that people with ID were less likely to report suffering from arthritis, migraines, back or spinal pain, and food allergies. Significant health differences were found when the ID sample was stratified by etiology (i.e., Down syndrome) and severity of intellectual deficits. We discuss these results and the need for future research to understand the differences found in the health status of people with ID.

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)0.002
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 score0.530
Threshold uncertainty score0.945

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.034
GPT teacher head0.323
Teacher spread0.289 · 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

Citations79
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal on Intellectual and Developmental DisabilitiesSame topicDown syndrome and intellectual disability researchFrench-language works237,207