Relation between Children’s Well-Being and Family Function in Children with Thalassemia Major in Isfahan in 2013
Bibliographic record
Abstract
The function of every family has a significant impact on the health of its members. Thalassemia is a chronic disease and, as the most common genetic disorder in the world, affects different aspects of life, including emotional well-being. The purpose of this study was to determine the relationship between well-being in children with a Thalassemia major and the function of their families, in Isfahan, Iran, in 2013. This was a cross sectional study and census sampling was used to collect the data. The study sample consisted of 97 children with thalassemia at the age of 10-16 years who referred to the clinic of Imam Reza, Seyed-al-Shohada Hospital in Isfahan. The subjects were evaluated using the Adolescent Psychological Wellbeing Scale and Family Functioning Questionnaire. Data were analyzed using SPSS software. The Pearson correlation coefficient showed that there was a reverse relationship between the overall score of family functioning and illness score of children with thalassemia (r=-0.377, P<0.001). In other words, children with thalassemia who are in families with a higher functionality have a greater sense of well-being. Among the 15 aspects of family functioning, the aspect of expressiveness and Lack of independence had the highest correlation with well-being in children with thalassemia. However, the aspect of locus of control and Disengagement had the lowest correlation with their well-being. The results of this study showed that there is a direct relationship between family functioning and emotional well-being of children with thalassemia major. Therefore, an important task of public health nurses is to improve the function of families in various aspects. The strengthening of family planning and implementation of projects in this regard is also necessary.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".