The children of preterm survivors: shyness, parenting, and parental stress
Bibliographic record
Abstract
Extremely low birth weight (ELBW) survivors have higher rates of shyness, a risk factor for poorer outcomes across the life span. Due to advances in fetal and neonatal medicine, the first generation of ELBW survivors have survived to adulthood and become parents. However, no studies have investigated the transmission of their stress vulnerability to their offspring. We explored this phenomenon using a population-based cohort of ELBW survivors and normal birth weight (NBW) controls. Using data from three generations, we examined whether the shyness and parenting stress of ELBW and NBW participants (Generation 2) mediated the relation between the parenting style of their parents (Generation 1) and shyness in their offspring (Generation 3), and the extent to which exposure to perinatal adversity (Generation 2) moderated this mediating effect. We found that among ELBW survivors, parenting stress (in Generation 2) mediated the relation between overprotective parenting style in Generation 1 (grandparents) and child shyness in Generation 3. These findings suggest that perinatal adversity and stress may be transmitted to the next generation in humans, as reflected in their perceptions of their children as shy and socially anxious, a personality phenotype that may subsequently place their children at risk of later mental and physical health problems.
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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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".