P.071 Clinical and demographic predictors of stress in parents of children with genetically determined leukoencephalopathies
Bibliographic record
Abstract
Background: Genetically-determined leukoencephalopathies comprise a rare group of inherited white matter disorders. The vast majority are associated with a progressive disease course and early death. This study seeks to determine the clinical and demographic correlates of stress in parents of leukodystrophy patients, for future clinical guidance. Methods: A cross-sectional study including 36 families was performed. Children aged 1 month to 12 years with a diagnosed leukodystrophy or genetically-determined leukoencephalopathy were included. 31 mothers and 24 fathers completed the Parental Stress Index, 4 th edition (PSI-4). One demographic questionnaire was completed per family. Clinical data was gathered within 6 months of the questionnaires. Statistical analysis was performed with total stress (TS) scores as the primary outcome. Results: Mothers and fathers had comparable TS scores. No clinical or demographic factors predicted the father’s TS score. Greater ambulatory impairment, using the GMFCS scale, correlated to lower TS scores in the mother. Conclusions: The progressive nature of these conditions makes it such that anticipating a child’s inability to walk may cause more stress for mothers than a child’s actual inability to ambulate. The inability of all other variables to predict total stress highlights a need for individualized approaches when addressing stress in these families.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".