Family Adaptability, Cohesion and Anxiety During Pediatric Hospitalization: Differences between Populations of Immigrant and Non-immigrant Origin
Bibliographic record
Abstract
Different investigations have proved the existence of anxiety and emotional alteration in parents during the hospitalization of a child. The objective of this study was to investigate the potential association between some aspects of family functioning and emotional alterations. It’s centred concretely in parents’ anxiety during the hospitalization of a child, looking for differences between parents of immigrant and non-immigrant origin. Methods. One hundred and ninety one parents, aged 23 to 53, participated in the study. All of them had a child hospitalized in pediatric units in hospitals of Andalucía, Spain. Anxiety was measured with the Spanish version of the Spielberger State-Trait Anxiety Inventory (STAI), and family functioning with the brief Spanish version of the Family Adaptability and Cohesion Evaluation Scale (FACES). Results. A better family functioning is significantly associated with lower levels of anxiety in parents during pediatric hospitalization. Immigrant origin parents were found to have considerably higher anxiety, higher family cohesion and also higher adaptability scores. Multiple regression analyses revealed that family cohesion and origin (immigrant/non-immigrant) explain significant variance in the anxiety scores of parents’ of hospitalized children.
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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 | 0.000 |
| 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) | 0.001 | 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".