Early Age of First Sexual Intercourse and Depressive Symptomatology among Adolescents
Bibliographic record
Abstract
Past literature has provided conflicting evidence for the association between adolescent sexual intercourse and depressive symptomatology. Whereas some studies conclude that sexually active youth may be at risk for depression, others provide contrary results. Thus, it is unclear as to whether depression results directly from coitus or if this relationship is explained by other factors-that is, there may be biological, psychological, or sociological predictors of both depressive symptomatology and early sexual intercourse. Using the National Longitudinal Study of Adolescent Health dataset, depressive symptomatology in adolescents over a seven-year time period was analyzed. The final sample (n = 6,510) was comprised of 49.35% male (n = 3,213) and 50.65% female (n = 3,297) participants. Although an earlier age of first coitus was predictive of future depressive symptoms, both variables appear to be concomitant outcomes of the biopsychosocial process. Thus, although one may be able to use early coitus as a marker for subsequent depressive symptomatology, it does not appear to occur because of early sexual intercourse. Furthermore, the reverse relationship was not found to be significant in this study-that is, higher levels of previous depressive symptomatology did not predict an earlier age of first sexual intercourse in adolescents.
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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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".