Child Health and Parental Stress in School-Age Children With a Preschool Diagnosis of Developmental Delay
Bibliographic record
Abstract
Chronic disorders are known to have a wide-ranging impact on overall health and family dynamics. The objective of this study was to assess child health and well-being and parental stress in a cohort of school-age children diagnosed before school entry with either global developmental delay or developmental language impairment. In total, 65 children with preschool developmental delay were assessed at school age (mean +/- SD age: 7.3 +/- 0.7 years) with the Child Health Questionnaire and Parenting Stress Index, with a mean interval between assessment of 3.9 years. Almost all children who completed testing (60/62) continued to show developmental impairments across domains. On the Child Health Questionnaire, children showed the greatest impairment on the mental health scale (median z score: -0.9). The median Child Health Questionnaire psychosocial health score (40.7) was almost 1 SD below established normative values ( P < .001). More than 40% of parents had a Parenting Stress Index above the 85th percentile (clinically significant parenting stress). Using multiple linear regression analysis, high levels of parenting stress were best predicted by a child's Child Health Questionnaire psychosocial health score (r2 = 0.49, P < .001). Thus, 4 years after a preschool-age diagnosis of developmental delay, poor psychosocial health was a common comorbidity. Almost half the parents showed clinically significant levels of parenting stress. There is a need to both recognize and provide ongoing social and emotional support for young children diagnosed with developmental disability and their families.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".