Family Antecedents and Consequences of Trajectories of Depressive Symptoms from Adolescence to Young Adulthood: A Life Course Investigation
Bibliographic record
Abstract
Using prospective data from 485 adolescents over a 10-year period, the present study identifies distinct segments of depressive symptom trajectories--a nonsignificant slope during adolescence and a significant negative slope during the transition to adulthood. The study hypothesized that different age-graded life experiences would differentially influence these depressive symptom growth parameters. The findings show that early stressful experiences associated with family-of-origin SES affect the initial level of depressive symptoms. Experiences with early transitional events during adolescence explain variation in the slope of depressive symptoms during the transition to adulthood. The growth parameters of depressive symptoms and an early transition from adolescence to adulthood constrain young adult social status attainment. Consistent with the life-course perspective, family-of-origin adversity is amplified across the life-course by successively contingent adverse circumstances involving life-transition difficulties and poor mental health. The findings also provide evidence for intergenerational transmission of social adversity through health trajectories and social pathways.
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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 | 0.001 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".