Social support and health-related quality of life in children and adolescents: focus group methodolgy / apoio social e saúde relacionados com qualidade de vida em crianças e adolescentes: metodologia focus group
Bibliographic record
Abstract
The present study has the following main objective, to characterize the Health-Related Quality of Life (HRQoL) of children and adolescents attending the 5th grade and 7th grade in Portugal. The HRQoL will be assessed by analysing the children's and the adolescents' perception of their own HRQoL, by considering the parents' perception of their children's HRQoL and finally by considering the education professionals' perception of children' and adolescents' HRQoL. Was used a qualitative methodology and focus groups as methodology. The sample included 53 children and adolescents,36 parents, 34 teachers and 17 educational assistants. 16 focus groups were developed. An interview guide was elaborated for the focus groups. The results of this research identified the HRQoL risk groups, namely girls, adolescents (the older group), pupils with low SES, pupils from the community of countries with Portuguese language and pupils with chronic disease. The results revealed that the HRQoL in children and adolescents is influenced by physic health factors, psychological and social factors and by health behaviours. However psychological factors demonstrated a higher effect, either regarding a direct or indirect impact, in the HRQoL of children and adolescents. Were present suggestions and implications for HRQoL intervention and promotion, regarding an ecological and developmental approach. Key-Words Children Adolescent; Quality of life; social support
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".