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Record W4408810021 · doi:10.26443/msurj.v1i2.321

Childhood trauma exposure does not moderate resting respiratory sinus arrhythmia during a prenatal yoga intervention

2025· article· en· W4408810021 on OpenAlexaff
Corinne Sejourne, Blaine Ditto

Bibliographic record

VenueMcGill Science Undergraduate Research Journal · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineIntervention (counseling)Vagal toneRespiratory systemCardiologyInternal medicineSinus (botany)PsychiatryHeart rateHeart rate variability

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0090.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.065
GPT teacher head0.358
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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