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Record W2025288902 · doi:10.1177/0883073807307987

Canadian Adolescents With Migraine: Impaired Health-Related Quality of Life

2007· article· en· W2025288902 on OpenAlexaffabout
Paula Brna, Kevin Gordon, Joseph M. Dooley

Bibliographic record

VenueJournal of Child Neurology · 2007
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsIzaak Walton Killam Health Centre
Fundersnot available
KeywordsMigraineQuality of life (healthcare)MoodVitalityMedicineMental healthAnxietyHeadachesPsychiatryPopulationCommunity healthClinical psychologyGerontologyPsychologyPublic healthEnvironmental health

Abstract

fetched live from OpenAlex

The objective of this study was to determine the impact of migraine headaches on health-related quality of life among Canadian adolescents. The Canadian Community Health Survey (CCHS) collects information related to health status, health care utilization, and health determinants for the Canadian population. Analysis was limited to those adolescents 12-19 years of age residing in Manitoba. Respondents reported whether they had migraine and mood/anxiety disorders. Health-related quality of life was measured using the Short Form-36 survey, which covers 8 health concepts related to functional status, well-being, and overall health. Multivariate linear regression analysis was used to model each Short Form-36 scale against age (12-14 years vs 15-19 years), gender, migraine, and the presence of a mood or anxiety disorder. The CCHS was completed by 994 respondents; 9.3% (95% confidence interval, 7.3%-11.5%) reported a diagnosis of migraine. Reported migraine predicted both statistically (P < .0001) and clinically significantly lower health-related quality of life in all Short Form-36 domains except vitality and general health perceptions. Adolescents reporting a mood disorder (2.1%) scored significantly lower in 6 of 8 health-related quality of life domains, most pronounced for emotional role, general mental health, and social functioning. Canadian adolescents with migraine report clinically and statistically significant impairment in health-related quality of life compared to their peers, independent of psychiatric comorbidities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.294
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 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

Citations28
Published2007
Admission routes2
Has abstractyes

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