The associations between lifestyle factors and mental well‐being in baccalaureate nursing students: An observational study
Bibliographic record
Abstract
Lifestyle factors are modifiable habits that shape the way in which individuals live their lives and can influence mental health. This study examined the associations between lifestyle factors and mental well-being among baccalaureate nursing students at one Canadian university. A cross-sectional, observational online survey was distributed at one urban university campus in Ontario, Canada. Baccalaureate nursing students (n = 147) completed the survey containing questions for demographic variables, sleep quality, dietary pattern, alcohol use, physical activity, sitting time, cigarette smoking, depression, anxiety and stress. Linear regression analysis revealed that more sitting time, poor sleep quality, and low dairy consumption were associated with higher scores in depression, anxiety, and psychological stress. In conclusion, poor lifestyle behaviors such as sedentary lifestyle, poor sleep, and low dairy consumption may reduce the mental well-being of baccalaureate nursing students. Future efforts should aim to establish a causal relationship between lifestyle and mental well-being, which would contribute to the development of lifestyle interventions to promote mental health.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".