The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Psychiatric comorbidity in patients with eating disorders
Abstract
Synopsis: The Structured Clinical Interview for DSM-III-R (SCID and SCID II) was administered to 105 eating disorder in-patients in order to examine rates of comorbid psychiatric disorders and the chronological sequence in which these disorders developed. Eighty-six patients, 81·9% of the sample, had Axis I diagnoses in addition to their eating disorder. Depression, anxiety and substance dependence were the most common comorbid diagnoses. Anorexic restrictors were significantly more likely than bulimics (all subtypes) to develop their eating disorder before other Axis I comorbid conditions. Personality disorders were common among the subjects; 69% met criteria for at least one personality disorder diagnosis. Of the 72 patients with personality disorders, 93% also had Axis I comorbidity. Patients with at least one personality disorder were significantly more likely to have an affective disorder or substance dependence than those with no personality disorder.
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
Cites
Schwalberg, M. D., Barlow, D. H., Alger, S. A., & Howard, L. J. (1992) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.101.4.675 · Cited by 158
Cited by
Comorbidity of anxiety and unipolar mood disorders
Mineka, S., Watson, D., & Clark, L. A. (1998) · Annual Review of Psychology · doi:10.1146/annurev.psych.49.1.377 · Cited by 1,573
(2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318149f111 · Cited by 1,554
Jacobson, N. C., & Newman, M. G. (2017) · Psychological Bulletin · doi:10.1037/bul0000111 · Cited by 576
Anderluh, M. B., Tchanturia, K., Rabe-Hesketh, S., & Treasure, J. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.2.242 · Cited by 400
Predictors of Mortality in Eating Disorders
Keel, P. K., Dorer, D. J., Eddy, K. T., Franko, D., Charatan, D. L., & Herzog, D. B. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.2.179 · Cited by 396
Metadata
- Authors
- Braun, D. L., Sunday, S. R., & Halmi, K. A.
- Venue
- Psychological Medicine
- Publisher
- Cambridge University Press (CUP)
- Published
- 1994-11
- Volume
- 24
- Issue
- 4
- Pages
- 859-867
- ISSN
- 0033-2917 (ISSN-L)
- 1469-8978
- OpenAlex
- W2094829608
- Cited by
- 482
- References
- 1
- FWCI
- 8.99
- 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
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.