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Record W7009650029

The effect of excess weight on asthma control among children

2015· dissertation· en· W7009650029 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldComputer Science
TopicImage and Object Detection Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsAsthmaOverweightLogistic regressionExcess weightCohortObesityUnivariate analysisMultivariate analysisCohort study
DOInot available

Abstract

fetched live from OpenAlex

Background: Asthma is the most common chronic pediatric illness in developed countries with nearly 10 million affected in North America. Patients affected with the disease can function without compromising their quality of life if the appropriate clinical treatment guidelines for optimal asthma management are used. However, 50% of patients fail to abide by the guidelines and in turn experience poor asthma control. Due to the physiological differences in overweight children with asthma, the effect of obesity on poor asthma control can lead to more serious outcomes. As a result of the documented physiological differences and pharmacokinetics, overweight children with asthma may experience poor asthma control. Objective: The objective of the study is to determine to what extent weight affects asthma control among children in Quebec. Methods: A retrospective historical cohort study was conducted from an existing Régie De L’Assurance Maladie du Québec (RAMQ) dataset generated from a population-based follow-up study. The sampling frame consisted of children aged 2-12 presented at the Montreal Children’s Hospital Asthma Center (Canada, Quebec) between January 1st 2002 and December 31st 2007, a final sample of 817 was obtained. Data was collected from information documented in the RAMQ, the Quebec Provincial Drug Plan and the MED-ECHO database. Study participants were classified under normal weight (BMI < 85th percentile) and excess weight (BMI 85th > percentile). Data Analysis: Basic descriptive statistics were produced to describe the study sample and test relationships of key variables with weight and asthma control. Univariate and multivariate logistic regression analyses were performed to test the hypothesis that excess weight children with asthma experience poor asthma control in comparison to normal weight children as indicated by predictors. The primary indicator was measured as the use of short-acting b2-agonists (SABA) defined by North American and International standards. The secondary outcome was measured as the rate of asthma related acute care visits, hospital admission and use of oral corticosteroids (OCS) during the one-year follow up. Results: Excess weight was found not to be associated with the use of b2 agonists and by extension, asthma control (OR=1.15, 95% CI 0.83-1.58). In addition, excess weight was not associated with acute care visits, hospital admission or the use of OCS.Conclusion: An association between excess weight and the use of SABA and by extension, asthma control was not observed, these results are congruent with some published literature. However, we speculate that with a larger sample size we would be able to make more accurate inferences in the extent to which excess weight affect the use of ß2-agonists.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0010.002
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 head0.004
GPT teacher head0.226
Teacher spread0.221 · 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