Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 182

The DOI matches its Crossref record.

Incidence of Depression in Long-term Care Settings

Parmelee, P. A., Katz, I. R., Lawton, M. P.·1992·Journal of Gerontology

Abstract

A one-year longitudinal study examined incidence and persistence of depression among nursing home and congregate apartment residents. Of 868 persons interviewed at Time 1, 15.7% displayed research-diagnosed possible major depression, and 16.5% displayed minor depressive symptoms. A follow-up interview a year later (T2; n = 448) yielded an incidence rate for possible major depression of 6.6% among persons with only minor or no depression in the previous year. For T1 nondepressives (i.e., excluding minor depressives), the incidence of possible major depression was 5.6%, and of minor depression, 6.3%. More than 40% of T1 possible major depressives showed no remission of symptoms a year later. In contrast, more than half of T1 minor depressives showed no depression at T2; however, another 16.2% appeared at follow-up to suffer possible major depression. Change in depression was associated with cognitive status, functional disability, and physical health. In general, persistence of depression was associated with greater decline, although patterns differed somewhat for the three functional indicators. Clinical and research implications of findings are discussed.

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/47.6.m189

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 182

Metadata

Authors
Parmelee, P. A., Katz, I. R., & Lawton, M. P.
Venue
Journal of Gerontology
Published
1992-11-01
Volume
47
Issue
6
Pages
M189-M196
ISSN
0022-1422 (ISSN-L)
OpenAlex
W2060930309
Cited by
182
References
0
FWCI
4.07
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: Incidence of Depression in Long-term Care Settings. https://app.cochat.ai/papers/10.1093/geronj/47.6.m189
The paper
Parmelee, P. A., Katz, I. R., & Lawton, M. P. (1992). Incidence of Depression in Long-term Care Settings. Journal of Gerontology. https://doi.org/10.1093/geronj/47.6.m189

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.