Parental Depression and Family Environment Predict Distress in Children Before Stem Cell Transplantation
Bibliographic record
Abstract
OBJECTIVE: To examine parental symptoms of depression, family environment, and interaction of these parent and family factors in explaining severity of distress in children scheduled to undergo stem cell or bone marrow transplantation. METHOD: A self-report measure of illness-related distress, adjusted to reflect the experience of medical diagnosis and associated stressors was completed by 146 youth scheduled to undergo stem cell or bone marrow transplantation. Measures of parental depressive symptoms and family environment (cohesion, expressiveness, and conflict) were completed by the resident parent. RESULTS: Parental symptoms of depression, family cohesion, and family expressiveness emerged as significant predictors of child-reported distress. Additionally, significant parental depression x family cohesion and parental depression x family expressiveness interactions emerged as predictors of the intensity of the child's distress. When parental depressive symptomatology was high, child distress was high regardless of family environment. However, when parental depressive symptomatology was low, family cohesion and expression served as protective factors against child distress. CONCLUSION: Parental depressive symptomatology and family functioning relate to child distress in an interactive manner. These findings inform future directions for research, including interventions for parents aimed at promoting child adjustment during the pediatric cancer experience.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".