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Record W1519438448 · doi:10.1080/03630240802131965

Disability Associated with Comorbid Anxiety Disorders in Women with Chronic Physical Illness in Ontario, Canada

2008· article· en· W1519438448 on OpenAlexaffabout
Tahany M. Gadalla

Bibliographic record

VenueWomen & Health · 2008
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnxietyPsychiatryFibromyalgiaMedicineSuicidal ideationMood disordersDepression (economics)ComorbidityIrritable bowel syndromeClinical psychologyPoison controlInjury prevention

Abstract

fetched live from OpenAlex

Anxiety disorders are more prevalent in individuals with chronic physical illness compared to individuals with no such illness, and about twice as prevalent in women as in men. This study used data collected in the 2005 Canadian Community Health Survey (21,198 women and 20,478 men) to examine factors associated with comorbid anxiety disorders and to assess the relation of these disorders on short-term disability and suicidal ideation. Comorbid anxiety disorders were more prevalent among women who were young, single, poor, and Canadian-born, and among women with chronic fatigue syndrome; fibromyalgia, bowel disorder or stomach or intestinal ulcers, or bronchitis had the highest rates of anxiety disorders. The presence of comorbid anxiety disorders was significantly associated with short-term disability, requiring help with instrumental daily activities, and suicidal ideation. Our findings underscore the importance of early detection and treatment of anxiety disorders in the physically ill, especially those who also suffer from mood disorders.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.034
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.258
Teacher spread0.246 · 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.

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

Citations12
Published2008
Admission routes2
Has abstractyes

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