Roles of muthmainnah personality and alexithymia in dealing with mental health problems among university students
Bibliographic record
Abstract
This study inquires the roles of muthmainnah personality and alexithymia in mediating the COVID-19 exposure to mental health problems in Indonesian university students quarantined at home during COVID-19. A total of 276 students completed the following scales: Islamic Personality Scale, Toronto Alexithymia-20 Scale, and Patient Health Questionnaire-9. Then, an examination on some possible relationships of obtained data was performed by structural equation modeling and mediation analysis. This study revealed that students with muthmainnah personality had lower levels of depression. Furthermore, the muthmainnah personality could mediate COVID-19 exposure to depression experienced by the students. In addition, this study revealed that students with probable depression had more severe alexithymia, such as difficulty identifying feelings, difficulty describing feelings, and externally oriented thinking. The alexithymia could mediate COVID-19 exposure to depression. These results implied that religious aspects could be utilized as strategies to determine and overcome the students’ emotions and could significantly avoid or moderate mental health problems in the case of depression associated with COVID-19.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".