Depressive Symptoms in Chiropractic Students
Bibliographic record
Abstract
BACKGROUND: The intensive training associated with health care education has been suggested to have unintended negative consequences on students' mental or emotional health that may interfere with the development of qualities deemed essential for proficient health care professionals. This longitudinal study examined the prevalence and severity of depressive symptoms among students at a chiropractic educational institution. METHODS: Chiropractic students at all levels of training were surveyed at Canadian Memorial Chiropractic College during the academic years of 2000/2001, 2001/2002, and 2002/2003. The measurement tool employed was the Beck Depression Inventory, 2nd edition (BDI-II). Previously established BDI-II cutoff scores were used to assess the severity of reported depression symptoms, and these were compared by sex and year of training. RESULTS: The survey was completed by 1303 students (70%) over the 3 years of the study. The prevalence of depressive symptoms was nearly 25%, with 13.7% of respondents indicating a rating of mild depression, 7.1% indicating moderate depressive symptoms, and 2.8% indicating severe symptoms. Significant differences were found between years of training, with 2nd-year students having the highest prevalence of depressive symptoms, and sex, with females having a higher rate of symptoms. CONCLUSIONS: Chiropractic students surveyed at Canadian Memorial Chiropractic College had high rates of depression similar to those measured in other health care profession students. Chiropractic educational institutions should be aware of this situation and are encouraged to emphasize students' awareness of their own personal health and well-being and their access to appropriate care, in addition to the same concerns for their future patients.
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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 | 0.002 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".