A Cross‐Lagged Panel Analysis of Cortisol Levels and Internalizing Behaviors in Children Born Very Preterm Across Early Childhood: Associations Differ for Boys and Girls at Age 1.5 Years
Bibliographic record
Abstract
Children born very preterm (≤32 weeks' gestation) are exposed to considerable stress in the neonatal period that, in turn, is associated long-term with altered physiological stress reactivity and regulation, as well as increased internalizing (anxiety and depressive) behaviors. Whether cortisol levels are related to evolving internalizing behaviors in this population has not been evaluated to our knowledge. The present study investigated the association between cortisol reactivity to a cognitive assessment in a novel clinic environment and parent-reported internalizing behaviors both concurrently and across ages in children born very preterm and examined whether relationships differed by biological sex at birth. Total cortisol output (AUCg) and reactivity (AUCi) were calculated from saliva assayed across age-appropriate cognitive tasks, and parents reported on their child's behavior at ages 1.5, 3, and 4.5 years. Valid cortisol data at one or more assessment points were available from 174 participants. Random-intercept cross-lagged panel models showed no longitudinal relationships between internalizing behaviors and cortisol output (AUCg, AUCi). Follow-up multilevel models revealed that the relationship between cortisol AUCg and internalizing behaviors was specific to girls at age 1.5 years. Findings highlight the importance of examining sex differences in biobehavioral relationships across development. Future research should consider factors that may attenuate these relationships across development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".