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Record W1931783446 · doi:10.1111/pai.12398

The influence of childhood asthma on puberty and height in Swedish adolescents

2015· article· en· W1931783446 on OpenAlexfundno aff
Jennifer L. P. Protudjer, Cecilia Lundholm, Anna Bergström, Inger Kull, Catarina Almqvist

Bibliographic record

VenuePediatric Allergy and Immunology · 2015
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchVetenskapsrådetStockholms Läns LandstingForskningsrådet för Arbetsliv och Socialvetenskap
KeywordsMedicineAsthmaPediatricsCohortPopulationCohort studyEl NiñoInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Evidence relating to the effect of asthma on puberty or height is inconclusive. We aimed to examine whether the exposure of childhood asthma, including timing and phenotypes, and inhaled corticosteroid (ICS) use is either cross-sectionally or longitudinally associated with the outcomes of pubertal staging or height. METHODS: This study employed data from a longitudinal, population-based cohort of Swedish children (born 1994-1996). At ages 1, 2, 4, 8, and 12 years, parent-reported data on asthma and ICS use in the previous 12 months were collected. At 8 and 12 years, height was ascertained at a clinical visit, and child-reported, respectively. At 12 years, children answered puberty-related questions. RESULTS: Retention through 12 years was 82% (3366/4089). Participants without puberty data (n = 620) were excluded, yielding a study population of 2746 (67%). Asthma at 8 years, including timing of onset and phenotypes, was not statistically significantly associated with pubertal staging in adjusted models. Children with asthma averaged 0.93 cm (95% CI 0.35-1.50) shorter than children without asthma. Children with asthma using ICS were 1.28 (95% CI 0.62-1.95) shorter than those with asthma without using ICS. CONCLUSIONS: We found no consistent association between asthma and pubertal staging. Children with asthma were shorter than those without asthma. Moreover, children with asthma using ICS were shorter than those not using ICS.

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)0.000
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 score0.031
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.222
Teacher spread0.215 · 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

Citations16
Published2015
Admission routes1
Has abstractyes

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