Physical fitness trajectories from childhood to adolescence in extremely preterm children: A longitudinal cohort study
Bibliographic record
Abstract
Abstract Objective Cohort studies on physical fitness (PF) in former extremely preterm children are scarce and yield conflicting results. Therefore, this study aimed to assess the effect of extremely preterm birth on PF in school‐age with a focus on bronchopulmonary dysplasia (BPD). Methods Eighty school‐aged children were enrolled in the longitudinal cohort study. Fifty were born extremely preterm ( Results Preterm children with BPD had significantly and persistently lower PFI than preterm children without BPD and term‐born children throughout primary school age. Their PFI was less than half that of national median values (15.1st–19.7th percentile). Preterm children without BPD experienced progressive improvement in PFI during their school age (from 32.6th to 44.7th percentile of national median PFI values), while the ones with BPD did not. Conclusion Extreme prematurity per se is not a risk factor for lower PF at school age. However, if complicated by BPD, PF is significantly and sustainably reduced.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".