Correlation and agreement between depressive symptoms in children and their parent's perception
Bibliographic record
Abstract
Abstract Introduction. Childhood depression is a disease that is becoming more frequent. Few reports address parental perception of children depressive symptoms, and these studies have not been carried out in community samples. Objective. To evaluate the correlation and agreement of depressive symptoms in school-age children, and their parent’s perception about emotional and conduct abnormalities. Method. A transversal study was performed in 284 children who filled a Children Depression Inventory. One of their parents filled a Strengths and Difficulty Questionnaire, and correlation between scores and subcomponent scores were assessed. Agreement between presence of depressive symptoms in children and their parent’s perception of abnormal emotional and/or conduct reports was also obtained. Results. 47 children were identified with depressive symptoms. We found moderate correlation between scores. We did not find agreement between the presence of depressive symptoms in the children and the report of emotional and conduct abnormalities by parents. Discussion and conclusion. There is a modest correlation between depressive symptom severity and parental perception of abnormal emotions and/or behaviors. We found no evidence of agreement between these domains in our study, which suggests that parents fail to perceive negative emotions or conducts as depressive symptoms in their children. Parental reports should be addressed by healthcare workers, and their emotional significance should be interpreted. An intentional search of depressive symptomatology in children should be a priority.
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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 | 0.003 | 0.011 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".