Physical activity level among children recovering from severe acute malnutrition
Bibliographic record
Abstract
OBJECTIVE: To assess the level and predictors of physical activity at discharge among children recovering from severe acute malnutrition (SAM). METHODS: We conducted a prospective study among 69 children 6-59 months of age admitted with SAM for nutritional rehabilitation at Mulago National Referral Hospital, Uganda. Using hip-mounted triaxial accelerometers, we measured physical activity expressed as counts per minute (cpm) during the last three days of hospital treatment. As potential predictors, we assessed clinical and background characteristics, duration to transition phase and duration of hospitalisation, serum C-reactive protein and whole-blood docosahexaenoic acid (DHA). Multiple linear regression analyses were used to identify predictors of physical activity. RESULTS: The median (IQR) age was 15.5 (12.6; 20.5) months. At discharge, the mean (SD) movement was 285 (126) cpm. Physical activity was 43 (19; 67) cpm higher for each unit increase in weight-for-height z-score (WHZ) and 72 (36; 108) cpm higher for each centimetre increase in MUAC. Whole-blood DHA on admission was also a positive predictor of physical activity, whereas duration to transition phase and duration of hospitalisation were both negative predictors. CONCLUSION: The level of physical activity at discharge among children treated for SAM was low. WHZ, MUAC and DHA on admission were positive predictors of physical activity, whereas duration of stabilisation and hospitalisation was negative predictors of physical activity. These results suggest that assessment of physical activity may be used as a marker of recovery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".