Meal Patterns, Dietary Fat Intake and Pancreatic Enzyme Use in Preadolescent Children With Cystic Fibrosis
Bibliographic record
Abstract
OBJECTIVES: To describe the usual pattern of intake and adherence to cystic fibrosis (CF) food and pancreatic enzyme replacement therapy (PERT) recommendations in preadolescent children with CF and pancreatic insufficiency (PI). METHODS: Children, 8 to 11 years old, with CF and PI were assessed for PERT adherence ratio (number taken/number prescribed per day) and energy and fat intake for 7 days (weighed food records), adherence to PERT and dietary recommendations, pulmonary function, growth status and stool fat malabsorption. Using the PERT adherence ratio, children were divided into good (> or =80%), moderate (60% to 79%) and poor (<60%) adherence groups. RESULTS: Of the 75 children (age, 9.3 +/- 1.0 years; forced expiratory volume in 1 s, 95 +/- 14% predicted), 61% consumed less than 120% of energy intake, and 72% consumed less than 40% of calories as fat recommended for CF. Using the PERT adherence ratio (mean +/- SD, 75 +/- 14%), 29%, 61% and 9% of children had good, moderate and poor adherence, respectively. Better adherence to PERT was significantly associated with missing fewer snacks, higher energy intake, greater fat content of snacks and poorer growth status. About 85% of the children were in the 500 to 4000 lipase unit (LU) of PERT (LU/g fat per day) and 500 to 2500 LU/kg per body weight per meal guidelines, whereas only 58% to 68% were within the guidelines for snacks. Eleven percent of children always took PERT at an inappropriate time after meals. CONCLUSIONS: Most preadolescent children with CF and PI did not meet dietary recommendations. Future educational and behavioral interventions focused on increasing PERT adherence with snacks, fat content of meals and snacks, appropriate timing of enzymes and adjustment of PERT and meal fat content are suggested.
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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 | 0.002 |
| 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 | 0.001 | 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".