Dietary Intake of Children with Type 1 Diabetes in Bahrain: A Case-Control Study
Bibliographic record
Abstract
Background & Objectives: Bahrain is reported to rank amongst the top 10 countries for diabetes prevalence worldwide. In particular, growing numbers of children are being diagnosed with Type 1 diabetes mellitus (T1DM).The objective of this study was to describe the dietary intake of Bahraini children with T1DM as compared to a sample of healthy counterparts and to determine whether the nutrient intakes of Bahraini children with T1DM meet the current recommendations. Design & Setting: This was a case-control study. Dietary intake, estimated using a24-hour dietary recall, for the cases was gathered from the Pediatric Endocrine and Diabetes Unit at the Salmaniya Medical Complex and compared to the 24-hour recalls of children without diabetes recruited from Local Health Centers. Patients & Methods: 50 children aged 6-12 years receiving a confirmed diagnosis of T1DM in the years 2009 and 2010 compared with 55 healthy comparators. Results: Children with T1DM consumed significantly more calories than controls (p<0.001) and significantly more protein relative to their RDA (p<0.029). Both groups failed to meet the RDA values for dietary fiber and for Vitamin D. Sodium intakes were in excess of RDA values although no significant difference was observed between groups (p=0.403). Conclusion: The diets of both children with and without T1DM were found to contain excess protein and sodium and inadequate fiber, vitamin D and calcium. Children with T1DM also appeared to consume excess energy and fat. There is a need to endorse existing dietary guidelines for children with T1DM.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".