The DOI matches its Crossref record.
Prevalence of depression and distress in a large sample of Canadian residents, interns, and fellows
Abstract
Using data from 1,805 interns, residents, and fellows in Ontario, Canada, the authors report the prevalence of symptoms measured by the Center for Epidemiologic Studies Depression Scale (CES-D). They found that the proportion of subjects scoring as depressed was somewhat higher than that found in community studies. Women had higher depression scores than men. The proportion of unmarried house staff with moderate or severe depression scores was higher than that of married house staff. Considerable differences were found by specialty, and depression was most prevalent in the first year of postgraduate training. These findings have implications for those who direct postgraduate medical training or who seek to alleviate unnecessary stress in the postgraduate education experience.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Burnout and self-reported patient care in an internal medicine residency program
Shanafelt, T. D., Bradley, K. A., Wipf, J. E., & Back, A. L. (2002) · Annals of Internal Medicine · doi:10.7326/0003-4819-136-5-200203050-00008 · Cited by 2,165
Physician wellness: a missing quality indicator
Wallace, J. E., Lemaire, J. B., & Ghali, W. A. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61424-0 · Cited by 1,608
Mata, D. A., Ramos, M. A., Bansal, N., Khan, R., Guille, C., Di Angelantonio, E., & Sen, S. (2015) · JAMA · doi:10.1001/jama.2015.15845 · Cited by 1,255
Rates of medication errors among depressed and burnt out residents: prospective cohort study
Fahrenkopf, A. M., Sectish, T. C., Barger, L. K., Sharek, P. J., Lewin, D., Chiang, V. W., Edwards, S., Wiedermann, B. L., & Landrigan, C. P. (2008) · BMJ · doi:10.1136/bmj.39469.763218.be · Cited by 1,175
Shanafelt, T. D., Sloan, J. A., & Habermann, T. M. (2003) · The American Journal of Medicine · doi:10.1016/s0002-9343(03)00117-7 · Cited by 813
Metadata
- Venue
- American Journal of Psychiatry
- Published
- 1987-12-01
- Volume
- 144
- Issue
- 12
- Pages
- 1561-1566
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W1741713493
- Cited by
- 214
- References
- 0
- FWCI
- 20.34
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prevalence of depression and distress in a large sample of Canadian residents, interns, and fellows. https://app.cochat.ai/papers/10.1176/ajp.144.12.1561
- The paper
- Prevalence of depression and distress in a large sample of Canadian residents, interns, and fellows. (1987). American Journal of Psychiatry. https://doi.org/10.1176/ajp.144.12.1561
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.