Adult social outcomes of extremely low birth weight survivors of childhood sexual abuse
Bibliographic record
Abstract
Preterm birth and exposure to childhood sexual abuse (CSA) are early physiological and psychological adversities that have been linked to reduced social functioning across the lifespan. However, the joint effects of being born preterm and being exposed to CSA on adult social outcomes remains unclear. We sought to determine the impact of exposure to both preterm birth and CSA on adult social functioning in a group of 179 extremely low birth weight (ELBW; 2500 g) participants in the fourth decade of life. Social outcome data from a prospective, longitudinal, population-based Canadian birth cohort initiated between the years of 1977 and 1982 were examined. At age 29-36 years, ELBW survivors who experienced CSA reported poorer relationships with their partner, worse family functioning, greater loneliness, lower self-esteem and had higher rates of avoidant personality problems than those who had not experienced CSA. Birth weight status was also found to moderate associations between CSA and self-esteem (P=0.032), loneliness (P=0.021) and family functioning (P=0.060), such that the adverse effects of CSA were amplified in ELBW survivors. Exposure to CSA appears to augment the adult social risks associated with perinatal adversity. Individuals born preterm and exposed to CSA appear to be a group at particularly high risk for adverse social outcomes in adulthood.
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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 | 0.001 |
| 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 | 0.000 | 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".