Childhood trauma exposure does not moderate resting respiratory sinus arrhythmia during a prenatal yoga intervention
Bibliographic record
Abstract
Pregnancy may induce a period of wide-ranging physiological changes and stress, including decreased resting respiratory sinus arrhythmia (RSA). Low resting RSA has been associated with various mental health symptoms such as depression, anxiety, and externalizing behaviors. Research suggests that women with a history of childhood trauma may experience lifelong dysregulation of their stress response systems and therefore may be particularly vulnerable to such health effects. While a broader body of literature suggests mind-body interventions may serve as a meaningful buffer, research addressing such interventions in this population is limited. Therefore, this study examined the potential moderating effects of childhood trauma exposure on changes in resting RSA following a short virtual yoga intervention. RSA was collected through an application on participants' cellphones, which uses non-invasive photoplethysmography to collect heart rate. Data collection is ongoing, however, preliminary results with 32 pregnant women do not show a significant moderating effect of childhood trauma exposure on changes in resting RSA (F = 1.764, p-value = 0.181). Initial findings suggest that childhood trauma exposure does not impact the efficacy of yoga interventions on RSA during pregnancy. Limitations of this study include a small, highly educated and majority White sample. Given the implications for developing interventions that are effective in pregnant women regardless of their background, future research that expands upon these findings could improve women's health and offspring development.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".