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Record W2089123479 · doi:10.1159/000323941

Vitamin D Deficiency as a Strong Predictor of Asthma in Children

2011· article· en· W2089123479 on OpenAlexaff
Abdülbari Bener, Mohammad Ehlayel, Meri K. Tulić, Qutayba Hamid

Bibliographic record

VenueInternational Archives of Allergy and Immunology · 2011
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsMcGill UniversityChristie (Canada)
FundersQatar Foundation
KeywordsMedicineVitamin D and neurologyAsthmavitamin D deficiencyInternal medicineParathyroid hormoneCreatinineAllergyRicketsAlkaline phosphatasePediatricsGastroenterologyEndocrinologyImmunologyCalcium

Abstract

fetched live from OpenAlex

BACKGROUND: Epidemiological studies suggest a link between vitamin D deficiency in early life and development of asthma in later life. AIM: The aim of this study was to measure serum vitamin D levels in asthmatic children and to compare these to healthy non-asthmatic controls. METHODS: Asthmatic (n = 483) and healthy control (n = 483) children were recruited from the Pediatric Allergy-Immunology Clinics of Hamad General Hospital and the Primary Health Care Clinics in Qatar from October 2009 to July 2010. All children were below 16 years of age and asthma was diagnosed by a physician. Parents of all children completed extensive questionnaires documenting demographics, child's feeding practice and vitamin D intake. Serum vitamin D (25-hydroxyvitamin D), calcium, phosphorus, alkaline phosphatase, magnesium, creatinine and parathyroid hormone assays were performed. Subjects with serum containing less than 20 ng/ml vitamin D were deemed deficient. RESULTS: Asthmatic children had significantly reduced serum vitamin D levels compared to non-asthmatic children (p < 0.001); 68.1% of all asthmatics were vitamin D deficient. Asthmatic children had significantly higher degrees of moderate (41.8 vs. 25.1%) and severe (26.3 vs. 11.0%) vitamin D deficiency compared to healthy controls (p < 0.001). Positive familial history of vitamin D deficiency (35.6%, p = 0.005) and asthma (36.4%, p = 0.009) were significantly higher in asthmatic children. Along with vitamin D deficiency, asthmatics also had reduced phosphorus (p < 0.001) and magnesium (p = 0.001) levels but elevated serum alkaline phosphatase (p < 0.001) and IgE (p < 0.001). The majority of asthmatic children had less exposure to sunlight (66.7%, p = 0.006) and less physical activity (71.3%, p < 0.001). Vitamin D deficiency was the strongest predictor of asthma in this population (OR 4.82; 95% CI 2.41-8.63, p < 0.001). CONCLUSION: The present study revealed that the majority of asthmatic children had vitamin D deficiency compared to control children. Vitamin D deficiency was the major predictor of asthma in Qatari 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 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 score0.174
Threshold uncertainty score0.256

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 studies0.0000.001
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 head0.012
GPT teacher head0.258
Teacher spread0.247 · 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

Citations184
Published2011
Admission routes1
Has abstractyes

Explore more

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