The predictive social and emotional measures in toddlerhood for psychiatric morbidity in adolescence
Bibliographic record
Abstract
Objective: We aimed to determine the predictive factors for psychiatric problem severity and/or clinical approval 10 years after first assessment between ages 1-4 years. Method: The children that were assessed with the CBCL and the BITSEA in their 1-4 years of age were included. The follow-up assessments were made by telephone interviews 10 years later by child psychiatry residents. The primary caregivers responded the follow-up questionnaire items, such as social/academic/behavioral functioning and self-esteem and the items regarding the psychiatric approval, diagnosis, and treatment history. Results: The CBCL-Internalizing scores in toddlerhood were found to be significantly inversely correlated with social and behavioral functioning level and self-esteem scores. The paternal and maternal BITSEA-Competence scores were found to be positively correlated with social and academic functioning. The CBCL Withdrawn/Depressed points at first evaulation were determined to be statistically significantly predictive for psychiatric diagnosis. Conclusion: The study revealed that some measures including CBCL and BITSEA completed in toddlerhood significantly indicate the children under risk of psychiatric morbidity in adolescence. Therefore, we conclude that the widespread use of this assessment measures in toddlers and the referral of the group under risk to the psychiatry units for further investigations could be useful preventive interventions.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".