An Intervention to Improve Mental and Physical Health of Undergraduate Nursing Students
Bibliographic record
Abstract
BACKGROUND: Nursing students experience poorer mental and physical health relative to students in other health-related disciplines and young adults of similar age outside post-secondary school. Compromised mental and physical health has numerous negative impacts on nursing students and can result in burnout and development of chronic diseases. PURPOSE: To determine whether an asynchronous online yoga intervention would improve mental and physical health of students. METHODS: An asynchronous online 6-week yoga intervention was carried out between January and December 2021, using a pre/post design. Participants' symptoms of depression, anxiety, stress, and self-compassion were assessed using the Depression, Anxiety, and Stress Scale and Self-Compassion Scale and core endurance was assessed using the Mackenzie Core Endurance Test prior to commencement and at the conclusion of the program. RESULTS: <0.001) between baseline and study completion. CONCLUSION: A six-week virtual yoga program significantly improved mental and physical health of undergraduate nursing students. Targeted modifications to the yoga program might enhance participant retention.
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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) | 0.006 | 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".