Basic psychological needs, more than mindfulness and resilience, relate to medical student stress: A case for shifting the focus of wellness curricula
Bibliographic record
Abstract
Purpose Medical student distress is an increasing concern in medical education. Addressing this issue requires a comprehensive understanding of what factors influence learners’ stress in medical school. Grounded in Self-Determination Theory (SDT), this study explores the relative association between medical students’ mindfulness, resilience, basic psychological needs, and perceived stress. Materials and methods: Of all year 1–4 medical students at our institution, 197 (49%) completed an online survey, measuring satisfaction and frustration of their basic psychological needs (autonomy, competence, relatedness), mindfulness, resilience, and perceived stress. Variables were assessed in relation to perceived stress, controlling for students’ gender and year.Results Higher mindfulness, resilience, and need satisfaction were associated with lower perceived stress. Conversely, need frustration was associated with higher perceived stress. When students' need frustration was included in the model, the association between mindfulness, resilience, and perceived stress weakened. Third years reported more autonomy frustration than all other years. Compared to males, females in second and fourth year reported higher stress, lower mindfulness and resilience, and less competence fulfilment.Conclusions Findings of this study suggest that, while mindfulness and resilience are important qualities for medical student well-being, their stress-protective benefits may diminish when students’ basic psychological needs are frustrated in medical school. Addressing potentially need-thwarting aspects of the learning environment is therefore recommended, to help reduce student stress and promote their well-being. Preliminary suggestions on how this might be achieved are discussed, from an SDT perspective.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 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".