Trajectories of Resting Heart Period and Shyness in Adolescent Females Exposed to Child Maltreatment
Bibliographic record
Abstract
Relatively little is known about the psychophysiological processes underlying the development of socioemotional vulnerabilities that are common among adolescents exposed to child maltreatment. Using a prospective, longitudinal design, we investigated whether trajectories of resting heart period (HP; a physiological correlate of stress vulnerability) across three visits (separated by 6 months) was associated with shyness (a type of socioemotional vulnerability) in adolescent females exposed to child maltreatment ( N = 55; M age = 14.07 years). Adolescents’ resting HP across visits was best characterized by two latent trajectories: a stable high class (25.5%) and a stable low class (74.5%). The stable low HP trajectory was associated with higher shyness at Time 1 (T1), and HP trajectory moderated the association between T1 and Time 3 (T3) shyness. Females in the stable low HP trajectory demonstrated stability of shyness from T1 to T3, whereas T1 and T3 shyness were unrelated for females in the stable high HP trajectory. We also found that shyness at T1 and T3 was associated with greater levels of anxiety at T3. These findings illustrate heterogeneity in the developmental patterns of resting autonomic activity in adolescent females exposed to child maltreatment; such differences may influence the continuity of some traits linked with socioemotional vulnerability such as shyness.
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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 | 0.000 | 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".