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Record W6997367128

Weight, related lifestyle behaviours and asthma in Manitoba children

2012· dissertation· en· W6997367128 on OpenAlexfundaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2012
Typedissertation
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchManitoba Health Research Council
KeywordsPopulationAsthmaTSG101DiseaseStatistical analysis
DOInot available

Abstract

fetched live from OpenAlex

Background and Rationale: Asthma and overweight are public health concerns. Lifestyle, including dietary and activity patterns, is associated with overweight and asthma. Moreover, an association between these two diseases has been described. Yet, few studies have considered these associations longitudinally in youth. Methods: Based on data from the 1995 Manitoba Birth Prospective Cohort (n=723, 404 [55.9%] boys), we designed a series of studies to address the question: “Do obesity and related lifestyle behaviours influence asthma and airway hyperresponsivess (AHR) outcomes in children?” Following protocol for a mixed methods sequential explanatory design study, we first considered this research question using quantitative methods. Exposure variables included weight status (body mass index (BMI); BMI z-scores; normal weight vs. overweight), diet, physical activity and screen time. Outcome variables included asthma and AHR at 8-10 years old and at 12-13 years old. Quantitative findings provided direction for the qualitative investigations. That is, we sought to further explain some of the quantitative findings using qualitative methods. For the qualitative portion of this dissertation, 15-16 year old youth were purposively selected (Winnipeg residency, asthma status, gender) from the 1995 Manitoba Prospective Birth Cohort. Due to recruitment challenges, participation was supplemented with youth from the Canadian Asthma Primary Prevention Study, using the same purposive selection criteria. Quantitative Results: Overweight at 12-13 years old was associated with a two-fold increased odds of persistent asthma in girls. In contrast, boys within the highest BMI quartile at 8-10 years old were nearly twice as likely to have remittent asthma at 12-13 years old. High vegetable intake was protective against allergic asthma and moderate-to-severe AHR by 50% and 42%, respectively. High screen time at 8-10 years old, particularly amongst overweight youth, was associated with an increased odds of asthma, but not AHR at 8-10 years and 12-13 years; there were no associations between physical activity, asthma and AHR. Qualitative Results: Youth spoke of asthma as a condition that neither limits physical activity, nor is an excuse for refraining from physical activity. Conclusions: Modest evidence that some quantitatively-measured weight and related lifestyle behaviours during the pubertal years is associated with asthma. Yet, qualitative data suggest that youth with asthma believe that physical activity is achievable despite their condition, although some describe that asthma interferes with physical activity.

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)0.001
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 score0.104
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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
Published2012
Admission routes2
Has abstractyes

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