Association between trajectories of maternal depression and subsequent psychological functioning in youth with and without chronic physical illness.
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to determine if the presence of youth chronic illness moderates the association between trajectories of maternal depressive symptoms and psychological functioning in youths. METHODS: Data came from the National Longitudinal Survey of Children and Youth (N = 11,813). Using the 12-item version of the Center for Epidemiological Studies Depression Scale (CES-D), symptom trajectories were estimated by latent class growth modeling over 3 measurement occasions (when their children were 10-11, 12-13, and 14-15 years). The moderating effect of youth chronic illness on the association between maternal depression and youth psychological functioning at 16-19 years was tested using multiple regression. Three measures of psychological functioning were assessed: anger regulation (Bar-On Emotional Quotient Inventory), self-concept (Self-Determination Questionnaire), and depressive symptoms (CES-D). RESULTS: Four trajectories (low, decreasing, increasing, high) of maternal depression were identified. The association of maternal depressive symptoms on youth psychological functioning was modified by chronic illness; less favorable trajectories of maternal depression had a more pronounced detrimental association on youths with chronic illness compared to controls. CONCLUSIONS: Youths with chronic illness are particularly vulnerable to the negative psychological exposure of maternal depressive symptoms during the transition to adulthood. Family-centered transition of care programs in the medical setting may be beneficial in reducing the association between symptoms of maternal depression and youth psychological functioning.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".