Cardiodynamic Associations With Mental Health And Resilience In Undergraduate Students
Bibliographic record
Abstract
The 2016 National College Health Assessment (NCHA) indicates a majority of Canadian students reported feeling overwhelmed, stressed, and anxious during their undergraduate studies, which lead to poorer academic performance. Heart rate variability (HRV), the variation in time between consecutive heart beats, is indicative of the inherent flexibility of a healthy autonomic nervous system. While autonomic indices, in the form of HRV, have been used to describe chronic physiological stress, the role of HRV as a physiological index of mental health remains unclear. Furthermore, HRV monitoring may provide a quantitative means for interpreting the gradation of stress and anxiety experienced by undergraduate students. The objective of this study was to analyze the relationship between cardiac autonomic control and mental health scores in undergraduate students. Seventy‐seven healthy undergraduate students (18–24 years of age, 17 males; Western University, Canada) wore a Firstbeat Bodyguard® device for a 24‐hour period while continuing with day‐to‐day activities. Sleep R‐R interval data were isolated, and the root mean square of successive differences (RMSSD; Firstbeat® software) was calculated. Students also completed the brief resilience scale (BRS), generalized anxiety disorder 7‐item scale (GAD‐7), and the mental health inventory (MHI) questionnaires. Regression analysis established the predictive relationship between RMSSD and the psychological survey scores for this sample. The RMSSD index correlated positively with BRS (r=0.30, p<0.01). The RMSSD index correlated negatively with GAD‐7 scores (r=−0.27, p<0.05). The RMSSD index did not correlate with MHI scores. These data suggest that higher HRV may indicate greater psychological resilience, and lower anxiety amongst undergraduate students. Support or Funding Information Western University Interdisciplinary Initiative Program This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".