Effect of a training program for promoting the mental health of nursing students in Zagazig University
Bibliographic record
Abstract
Mental health is a vital and necessary component of health. Mental health promotion creates positive environments for the good mental health and wellbeing of populations. This study aimed to evaluate the effectiveness of the training program on promoting mental health of nursing students. Aquasi-experimental design was used. A convenience sample included 130 nursing students from the nursing program at Zagazig University were randomly assigned to intervention and control groups. Participants completed the Thai Defense Style Questionnaire 40 (DSQ-40) and Sense of Coherence Questionnaire (SOC-29). Prior to the implementation of training program, mean scores on both measures did not differ significantly between the intervention and control group. However there were significant differences between both groups before and after the intervention. The current findings supported the efficiency of mental health promotion program. Therefore, it is essential to conduct further structured and executive programs concerning promote mental health among the nursing students, which it is important to prepare nursing students to accomplish their experiences more effectively.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".