Increased Depressive Symptoms in Female but Not Male Adolescents Born at Low Birth Weight in the Offspring of a National Cohort
Bibliographic record
Abstract
OBJECTIVES: To test if being born at low birth weight (LBW; <2500 g) or being small for gestational age (SGA; <10th percentile for gestational age [GA]) are associated with increased levels of depressive symptoms in youth and, if so, when these first emerge, if the relation is sex-specific, and whether this effect is direct or mediated by early life difficulties. METHOD: Associations between LBW, SGA, and depressive symptoms at ages 4 to 7 years and 10 to 14 years were tested in 1230 children born to the female participants of the National Longitudinal Study of Youth using linear regression models adjusting for maternal age, ethnicity, education, weight, depressive symptoms, marital status, and income. We also adjusted for GA, the child's age, and depressive symptoms at ages 4 to 7 years. Attention-deficit hyperactivity disorder (ADHD) symptoms and short-term memory at ages 8 to 10 years were also assessed for their putative role in mediating this relation. RESULTS: LBW and SGA were associated with increased levels of depressive symptoms in adolescent girls only. This persisted despite adjustment for perinatal factors and was not accounted for by putative mediators. In males and females, increased levels of depressive symptoms were associated with elevated maternal pre-pregnancy weight, depression, and single marital status, as well as childhood ADHD and depressive symptoms. Similar results were found for infants born SGA. CONCLUSIONS: Our results support the existence of a female-specific association between LBW, SGA, and adolescent depressive symptoms. Differences in exposures to maternal mediators of stress or developmental factors may underlie these findings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".