Stress, Depression, and Anxiety among Undergraduate Nursing Students
Bibliographic record
Abstract
Admission to a professional program marks the beginning of fulfilling a career goal. However, the rigors of professional education can be demanding. Stress, depression, and anxiety (SDA) can interfere with learning, affect academic performance, and impair clinical practice performance. Studies report a general increase in the severity of and extent of mental health problems among college/university students. The literature regarding nursing students' mental health distress identifies academic and personal sources of stress and coping efforts, with emphasis on the stress and anxiety associated with clinical practice. This cross-sectional descriptive exploratory study investigated levels of SDA among nursing students in 3 years of a university-based program. The association between quality of life indicators including known stressors, such as financial concerns and balance between school and personal life, and SDA was also investigated. Through an online survey, 437 participants from one mid-western Canadian undergraduate nursing program completed the Depression Anxiety Stress Scales and provided data on quality of life indicators and demographic information. Participants also were invited to provide narrative data about their experiences with SDA. This article will present significant findings including: levels of SDA; comparisons between our sample and a normative sample on the dimensions of SDA; and the results of multiple regression analysis identifying significant predictors of each dimension. Themes from the qualitative comments from 251 of the participants were identified and added depth and clarity to the quantitative findings. The predominant themes represented were: perceptions of clinical practice, coping, personal issues, and balancing school, work, and personal life. Implications and recommendations for curriculum design, ensuring students understand program expectations prior to admission, and enhancing accessibility to mental health/support services need to be considered.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".