Health related quality of life among children with Type I diabetes, Assiut city, Egypt
Bibliographic record
Abstract
Objective: Health related quality of life (HRQOL) is a multidimensional construct that includes physical and psychosocial functioning, has emerged as an important outcome in pediatric population with chronic health conditions. The study objectives are to measure the quality of life among children with type I diabetes compared to healthy peers and to determine factors affecting the QOL among children with type I diabetes.Methods: Analytic cross sectional study was conducted in Sidi Galal health insurance outpatient clinic for children with type 1 diabetes mellitus and a comparison group of healthy peers was taken from other outpatient clinics. A total of four hundred and twelve children, aged from 8-18 years with type 1 diabetes and four hundred and twelve healthy peers matched in age and sex were interviewed. Three tools were used for this study: Demographic questionnaire, Socio-economic scale, and Peds QL4.0 Generic Core Scale was used to measure HRQOL.Results: The mean age of studied children was 12.9 ± 3.2. More than 60% of children with diabetes had uncontrolled glycemic level and 60% of them were in low socio-economic level. Children with diabetes had significantly lower HRQOL than healthy children in all domains. Age, glycemic control status and birth order of the diabetic children showed no significance difference regarding the QOL. Disease duration affected only the emotional function of the QOL and females showed significantly higher score regarding school functioning. Social, school and the total QOL scores were significantly higher among children with highly educated mothers while father's education affected the emotional, school and total QOL scores. Children in the middle and high social class showed significantly higher scores regarding social, school and total QOL. Presence of diabetic parent positively affected the social functioning while had negative effect on the school function of children with type I diabetes.Conclusions and recommendations: Diabetes is negatively affecting all the QOL functioning of the children. We recommend that Integrated programs between child's home, school and health insurance clinics for educating and supporting children with diabetes to improve their HRQOL.
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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 | 0.001 |
| 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) | 0.002 | 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".