Associated Factors of Mental Well-Being among Nurses in Private Hospitals in Leyte
Bibliographic record
Abstract
Mental health is a fundamental human right and as a condition of mental well-being that allows people to cope with life’s stressors, realize their strengths, study and work effectively, and contribute to their community. This quantitative research made used of the descriptive-correlational research design in assessing the correlation between the associated factors and the mental well- being among nurses in private hospitals in Leyte for the 2nd quarter of 2024 using the Warwick-Edinburgh Mental Well-being Scale survey questionnaire. The study’s respondents comprised 59.90% from Generation Z, 35.64% from Generation Y, and 4.45% from Generation X, with a majority being females (85.64%) and single (77.23%). Nearly all respondents were Roman Catholics (93.56%), 98% held a bachelor’s degree, and only 2% had some master’s units. Most respondents had been working for 1 to 5 years (44.55%) and were regular employees (72.28%). About 26.73% were staff nurses in the ward, and 54.95% had no fixed schedule. Health-wise, 84.65% had no morbidities, with small percentages reporting conditions like hypertension and other ailments. Most did not smoke or drink alcohol (72.28%), though 27.28% were occasional drinkers. The study found a moderate level of mental well-being among respondents, with an overall score of 45.86. Generation X exhibited the highest mental well-being score (55.6). A moderate significant relationship were observed between mental well-being and factors like religion (Effect size 0.477) and position (Effect size 0.537), while vices showed a strong significant correlation (Effect size 0.634). Nurses’ sense of knowledge and mastery in their profession, patient involvement, and leadership roles contributed to their mental well-being. Religious practices provided emotional support and stability, particularly in challenging times. The study concluded that nurses’ positions, religion, and vices significantly affect their mental health. Roman Catholicism and specific nursing roles were associated with better mental health, while vices strongly impacted it.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".