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Record W2102459123

Farming activities and respiratory health in school age children

2007· article· en· W2102459123 on OpenAlexfundaboutno aff
Pamela Farthing

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2007
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
FundersCanadian Lung Association
KeywordsMedicineEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

There is limited study of the relationship between current farming exposures and childhood asthma, respiratory symptoms, and lung function. This thesis examined the prevalence of asthma in children living on and off farms and the risk of asthma and respiratory symptoms of children exposed to farming activities as well as the relationship between participation in selected farm related activities and lung function values in school age children.The analysis for this thesis was based on data collected from a cross-sectional study conducted in 2004 of 636 children ages 6-13 from an agricultural community in rural Saskatchewan. Parents on behalf of children completed a questionnaire of respiratory health and environmental exposures. Asthma was defined as doctor diagnosis of asthma. Respiratory symptoms were determined by report of cough, wheeze, phlegm. Individual farming activities assessed were; haying, harvesting, moving or playing with hay bales, feeding livestock, cleaning or playing in barns, cleaning pens, and emptying or filling grain bins. The health assessment, conducted at the schools with children, included measurements of height, weight, skin prick test for atopy and lung function (FEV1, FVC, FEV 25-75, FEV1/FVC ratio).There were 553 subjects with questionnaire data for a response rate of 86.9%. Of those subjects participating in the study, lung function was available for 532 subjects. The overall prevalence of asthma was 18.8% and the prevalence of respiratory symptoms was 39.8%. The prevalence of asthma or respiratory symptoms did not differ between children who lived on farms or in towns. After adjusting for significant or clinically important risk factors, children who were exposed to emptying and filling of grain bins were more likely to have asthma (OR=2.42, 95%CI:1.19-4.92). Children with respiratory symptoms were more likely to be exposed to haying activities (OR=1.92, 95% CI:1.03-3.56), playing on or near hay bales (OR=1.93, 95%CI:1.2 -2.96) or cleaning pens (OR=2.55, 95% CI:1.04-6.26). Lung function variables were not associated with participation in any of the seven farming activities tested.Although there were no differences in the prevalence of asthma and respiratory symptoms between farming and non-farming children, certain farming practices may be important in the etiology of asthma and related respiratory symptoms in children.

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)0.000
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 score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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
Published2007
Admission routes2
Has abstractyes

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