Effects of Online Mindful Somatic Psychoeducation Program on Mental Health During the COVID-19
Bibliographic record
Abstract
OBJECTIVE: This study aims to determine the effects of online mindful somatic psychoeducation program (o-MSP) on mental health in female university students during the coronavirus disease-2019 (COVID-19). METHODS: Thirty-eight female university students were randomly assigned to an intervention group (IG, n=19) or a control group (CG, n=19). IG received o-MSP for 2-hours per session, twice weekly for 4-weeks; CG maintained their usual daily routine for 4-weeks. Measurements were performed pre- and post-intervention to assess stress, anxiety, and social connectedness using Perceived Stress Scale, State-Trait Anxiety Inventory, and Social Connectedness Scale. A qualitative analysis of changes in soma and social connectedness, subjectification of the soma, and mind-body integration was conducted through online interviews. RESULTS: Regarding stress and social connectedness, there were no significant difference between the groups (p>0.05). However, significant differences were observed in the main effect of time of measurement and time×group interaction, with IG showing significant improvement post-intervention, unlike CG (p<0.05). Regarding anxiety, there were significant differences in the main effect of time of measurement, time×group interaction, and group factor (p<0.05). Post-intervention, CG did not show a significant change, while IG showed a significant decrease (p<0.05). Qualitative analysis revealed that participants experienced "changes in soma and social connectedness," "subjectification of soma-body," and "embodiment of mind-body integration," and reported improved mental health. CONCLUSION: The o-MSP effectively reduced stress and anxiety in female university students and improved social connectedness. This suggests that o-MSP can be used to manage the mental health of university students in various settings.
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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 | 0.000 |
| 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".