Prevalence and factors associated with hyperglycaemia among children under-five years of age at holy innocents childrens’ hospital, mbarara district, south-western Uganda
Bibliographic record
Abstract
Background: Childhood hyperglycaemia is a critical observation because of its links to complications ranging from prolonged hospitalisation to mortality.This study reports the prevalence, clinical patterns and factors associated with hyperglycaemia among children under-five years of age at Holy Innocents Childrens' Hospital (HICH), Mbarara in south-western Uganda. Materials and methods:This was a hospital based, cross-sectional study conducted during the period between April to July, 2017.The study enrolled children underfive years attending out patients department (OPD) whose caregivers had consented.Random blood glucose levels, height and weight of children were taken; in addition, a structured questionnaire was administered.Results: We enrolled 284 children, of whom, 40.3% (n=114) were aged between 12 to 23 months (mean age: 24.6 months, median age: 9.7 months; IQR: 5.8-46.8months).There were 124 boys (43.7%).Thirty-nine participants were hyperglycaemic, giving a prevalence of 13.7%, (95% Confidence Interval: 8.4-18.2),with varied clinical patterns.Obese children were six times more likely to be hyperglycaemic (P=0.000).Although those who were overweight did not show statistical significance of hyperglycaemia, they were four times more at risk.Conclusion: Childhood hyperglycemia is highly prevalent in this setting, with the majority of the affected cases being unknown to both health workers and the caregivers.This impedes their medical intervention, and also inclines to very poor glycaemic control.This compels the need to regularly monitor glucose levels to subside preventable deaths.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".