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Record W2697713032 · doi:10.1016/j.aller.2017.02.010

Trends in prevalence and risk factors of allergic rhinitis symptoms in primary schoolchildren six years apart in Budapest

2017· article· en· W2697713032 on OpenAlexfundno aff
Mónika Sultész, István Balogh, Gábor Katona, G Mezei, Andor Hirschberg, Gabriella Gálffy

Bibliographic record

VenueAllergologia et Immunopathologia · 2017
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
FundersHospital for Sick Children
KeywordsMedicineAtopyAllergyFamily historyAsthmaPediatricsConfidence intervalDemographyInternal medicineImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Few data are available concerning the time trends and risk factors associated with allergic rhinitis (AR) in schoolchildren in Hungary. METHODS: At an interval of six years, parents of 6-12-year-old children completed identical ISAAC-based and additional questionnaires related to possible risk factors. RESULTS: Response rate was 62.8% with 6335 questionnaires distributed in 2007, and 52.9% with 6441 questionnaires in 2013. The prevalence of current AR symptoms (subjects presenting clinical symptoms of AR in the past 12 months, but had yet to be diagnosed by physician) increased significantly from 14.9% to 23.5% (p<0.001). There was no significant change in the prevalence of physician-diagnosed AR (11.6-11.2%). In multivariate analysis, gender (OR 0.733; CI 0.642-0.931), a family history of atopy (OR 2.017; CI 1.669-2.436), frequent upper respiratory tract infections (OR 2.033; CI 1.659-2.492), long-lasting disease before the appearance of the allergy (OR 2.119; CI 1.311-3.428), feather bedding (OR 0.773; CI 0.599-0.996) and living in a green area (OR 1.367; CI 1.133-1.650) were found to be significant risk factors of cumulative AR in 2013. In both of the groups with (p<0.000) or without (p<0.003) AR the families with a history of atopy used feather bedding less frequently than families without atopy. CONCLUSION: Although the prevalence of physician-diagnosed AR has not shown significant changes during the studied interval, the significant increase of the current AR symptoms suggests growing prevalence of AR among children in Budapest. Our results revealed new aspects of bedding customs in atopic families.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.013
GPT teacher head0.272
Teacher spread0.259 · 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.

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

Citations11
Published2017
Admission routes1
Has abstractyes

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