Physical Activity and Fatigue in Children With Intestinal Failure on Parenteral Nutrition
Bibliographic record
Abstract
OBJECTIVES: With improved survival of children with intestinal failure (IF), it is important to examine the impact on long-term physical function, physical activity (PA), and fatigue and identify clinical factors that may be predictive of impairment. METHODS: Cross-sectional study in children with IF on parenteral nutrition (PN) compared with healthy age- and sex-matched controls (HCs). Assessments included: Paediatric Quality of Life (PedsQL) Physical Function subscale, PedsQL Multi-Dimensional Fatigue Scale, and PA Perceived Benefits and Barriers scale. PA was measured using an accelerometer. Medical data was collected by chart abstraction. RESULTS: Participants included 21 children with IF (14 girls), median age 8.33 (interquartile range [IQR] 6.96-11.04) years and 33 HCs (20 boys), 8.25 (6.67-10.79) years. In those with IF, 13 (62%) were born prematurely with a median of 15 (7.5-24.5) in-patient hospitalizations. There was a significant difference (P = 0.033) in mean steps/day in children with IF (9709 +/- 3975) compared with HCs (13104 +/- 5416), and a correlation between moderate-to-vigorous PA and gestational age (r = 0.642, P = 0.010). Child and parent proxy scores indicate poorer physical function and greater fatigue in the IF group, along with a correlation between greater fatigue (r = -0.538, P = 0.012), poorer physical function (r = -0.0650, P = 0.0001) in children with more hospitalizations. Barriers to PA include "I am tired" and "I am worried about my line." CONCLUSIONS: Children with IF present with lower levels of PA and physical function and greater fatigue compared with their peers. Ongoing development of medical and rehabilitation intervention strategies is vital to optimize outcomes.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".