Trajectories of overweight and their association with adolescent depressive symptoms.
Bibliographic record
Abstract
OBJECTIVE: To explore the potential for a developmental approach to reveal new insights into the well-documented link between weight and depressive symptoms. METHOD: Latent class analysis identified multiple trajectories of overweight from 24 months to 15 years in the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development (n = 957). Structural equation models then used these classes to predict depressive symptoms at age 15. RESULTS: Five latent classes captured continuity and change in weight from early childhood into middle adolescence. Controlling for current weight, stably overweight girls tended to have the most depressive symptoms, but popularity and positive image appeared to buffer against some of the risks that girls faced from being stably overweight or becoming overweight in early to middle childhood. Notably, boys' longitudinal weight patterns were not associated with their depressive symptoms in adolescence. CONCLUSIONS: Weight histories, controlling for current weight, are important for understanding the psychological experience of overweight, especially when such histories are considered in relation to other aspects of psychosocial functioning. (PsycINFO Database Record
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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".