Severe Early Lower Respiratory Tract Infection is Associated with Subsequent Respiratory Morbidity in Preschool Inuit Children in Nunavut, Canada
Bibliographic record
Abstract
BACKGROUND: Inuit children in Nunavut, Canada, have high rates of lower respiratory tract infection (LRTI) early in life. Whether this commonly results in chronic respiratory symptoms later in life is unknown. METHODS: A cross-sectional survey of 3- to 5-years-old Inuit children was conducted in all three regions of Nunavut, as part of the "Qanuippitali, what about us, how are we?" survey. RESULTS: Reported chronic cough and wheezing were common in preschool Inuit children, although reported asthma diagnosed by a healthcare professional was uncommon. The presence of smokers in the home tended to be associated with severe LRTI in the first 2 years of life. Reported wheezing as well as reported bronchitis or pneumonia in the previous 12 months was significantly associated with severe LRTI in the first 2 years of life. Reported wheezing was also strongly associated with reported bronchitis or pneumonia in the past 12 months. The prevalence of chronic moist cough could not be clearly assessed, due to limitations in the questionnaire. INTERPRETATION: Severe LRTI in the first 2 years of life was associated with ongoing respiratory morbidity in preschool Inuit children, although symptoms appeared to lessen in severity over time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".