Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 368

The DOI matches its Crossref record.

Depression Among Institutionalized Aged: Assessment and Prevalence Estimation

Parmelee, P. A., Katz, I. R., Lawton, M. P.·1989·Journal of Gerontology

Abstract

Aged nursing home and congregate apartment residents were screened for symptoms of depression and cognitive impairment. Of 708 survey respondents, 12.4% met DSM-IIIR criteria (33) for major depression; about half this group also displayed significant cognitive deficits. Another 30.5% of the total sample reported less severe but nonetheless marked depressive symptoms. Such "minor" depressive syndromes were much more common among congregate housing than nursing home residents. Possible major depression was more prevalent among newly admitted residents of both housing components. Comparison of cognitively impaired vs intact respondents revealed that the two groups' self-reports of depression were equally internally consistent, and bore equivalent correlations with observer ratings made by interviewers and direct care staff. Checks of medical records of a group of survey nonrespondents (n = 203) indicated that, excepting the extremely demented, the active sample of 708 accurately represents institution residents as a whole. Finally, comparison with clinical diagnoses made by facility psychology and psychiatry department staff indicated good concurrent validity of research screening measures and methods.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/geronj/44.1.m22

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 368

Metadata

Authors
Parmelee, P. A., Katz, I. R., & Lawton, M. P.
Venue
Journal of Gerontology
Published
1989-01-01
Volume
44
Issue
1
Pages
M22-M29
ISSN
0022-1422 (ISSN-L)
OpenAlex
W2012022546
Cited by
368
References
0
FWCI
18.99
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Depression Among Institutionalized Aged: Assessment and Prevalence Estimation. https://app.cochat.ai/papers/10.1093/geronj/44.1.m22
The paper
Parmelee, P. A., Katz, I. R., & Lawton, M. P. (1989). Depression Among Institutionalized Aged: Assessment and Prevalence Estimation. Journal of Gerontology. https://doi.org/10.1093/geronj/44.1.m22

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.