Comparison of Alexithymia and Burnout Amid Perceived Stress Levels of Nursing Students
Bibliographic record
Abstract
Graduate level nursing students are exposed to overload and exhaustion due to academic and professional demands, increasing exposure to stressors resulting in elevated levels of perceived stress, burnout, and alexithymia. This quantitative research, utilizing an online methodology at a midwestern university, explored the prevalence of perceived stress, compassion satisfaction (CS), compassion fatigue (CF), burnout, and alexithymia among master’s level nursing students. The descriptive analysis utilized the Pearson correlation coefficient (Pearson r) by use of the Perceived Stress Scale (PSS-10), the Professional Quality of Life Scale (ProQOL), and the Toronto Alexithymia Scale (TAS-20). The researcher discovered statistically significant negative correlations between CS and CF r(49) = -.43, p =.01, CF and TAS-20 r(49) = -.50, p =.01, CF and difficulty identifying feelings (DIF) r(49) = -.56, p =.01, and PSS and burnout r(49) = -.44, p =.01. Statistically significant positive correlations were noted between CF and burnout r(49) = .49, p =.01, CS and TAS-20 r(49) = .45, p =.01, CS and difficulty identifying feelings (DIF) r(49) = .49, p =.01, difficulty describing feelings (DDF) and DIF r(49) = .60, p =.01, and PSS and TAS-20 r(49) = .52, p=.01. Elevated levels of perceived stress appeared to be the most prevalent finding among participants of the study. Future research should include an international study among academic centers to promote student and faculty recognition and management of stress, burnout, and alexithymia. The comprehension could improve student health and attrition rates, therefore improving retention rates.\nCohort XX
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".