Lean mass accretion in children born very low birth weight is significantly associated with estimated changes from sedentary time to light physical activity
Bibliographic record
Abstract
Summary Background Few studies have investigated how lifestyle is associated with body composition in children born very low birth weight (VLBW, <1500 g), a population at increased risk of obesity and metabolic syndrome in later life. Objectives Determine how time spent in physical activity, sedentary time, and sleep are associated with body composition in children born VLBW. Methods In this prospective cohort study of 5.5‐year‐old children born VLBW, height, weight, body composition (skinfolds, air displacement plethysmography), and 7 days of movement data (logbooks and accelerometers) were collected. Results Of 158 participants, 53% were male, and mean (SD) birth weight was 1013 (264) g. Only 52% achieved 60 minutes/day of moderate‐to‐vigorous physical activity, but 96% achieved sleep recommendations. Reallocating 30 minutes of sedentary time to light physical activity (LPA) was associated with 0.20 kg/m2 (95% CI, 0.02 to 0.37) greater fat‐free mass index. An equivalent inverse association was found when reallocating LPA to sedentary time. No associations were found for other movement behaviours. Conclusions Promoting LPA and reducing sedentary time may be an important strategy in reducing the elevated risk of obesity and metabolic syndrome amongst those born VLBW by supporting lean mass accretion. Funded by CIHR (FHG 129919) and SickKids Restracomp.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".