The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Prevalence of Depression and Its Treatment in an Elderly Population: The Cache County Study
Abstract
BACKGROUND: Previous estimates of the prevalence of geriatric depression have varied. There are few large population-based studies; most of these focused on individuals younger than 80 years. No US studies have been published since the advent of the newer antidepressant agents. METHODS: In 1995 through 1996, as part of a large population study, we examined the current and lifetime prevalence of depressive disorders in 4,559 nondemented individuals aged 65 to 100 years. This sample represented 90% of the elderly population of Cache County, Utah. Using a modified version of the Diagnostic Interview Schedule, we ascertained past and present DSM-IV major depression, dysthymia, and subclinical depressive disorders. Medication use was determined through a structured interview and a "medicine chest inventory." RESULTS: Point prevalence of major depression was estimated at 4.4% in women and 2.7% in men (P= .003). Other depressive syndromes were surprisingly uncommon (combined point prevalence, 1.6%). Among subjects with current major depression, 35.7% were taking an antidepressant (mostly selective serotonin reuptake inhibitors) and 27.4% a sedative/hypnotic. The current prevalence of major depression did not change appreciably with age. Estimated lifetime prevalence of major depression was 20.4% in women and 9.6% in men (P<.001), decreasing with age. CONCLUSIONS: These estimates for prevalence of major depression are higher than those reported previously in North American studies. Treatment with antidepressants was more common than reported previously, but was still lacking in most individuals with major depression. The prevalence of subsyndromal depressive symptoms was low, possibly because of unusual characteristics of the population.
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
Robins, L. N. (1981) · Archives of General Psychiatry · doi:10.1001/archpsyc.1981.01780290015001 · Cited by 5,219
Cited by
The treatment gap in mental health care.
(2004) · Europe PMC (PubMed Central) · Cited by 1,419
Luppa, M., Sikorski, C., Luck, T., Ehreke, L., Konnopka, A., Wiese, B., Weyerer, S., König, H.-H., & Riedel-Heller, S. G. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2010.11.033 · Cited by 855
Bauer, M., Pfennig, A., Severus, E., Whybrow, P. C., Angst, J., Möller, H.-J., & Šon behalf of the Task Force on Unipolar Depressive Disorders (2013) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2013.804195 · Cited by 632
Prevalence of psychiatric disorders among older adults in long-term care homes: a systematic review
Seitz, D., Purandare, N., & Conn, D. (2010) · International Psychogeriatrics · doi:10.1017/s1041610210000608 · Cited by 592
Dialectical Behavior Therapy for Depressed Older Adults: A Randomized Pilot Study
Lynch, T. R., Morse, J. Q., Mendelson, T., & Robins, C. J. (2003) · The American Journal of Geriatric Psychiatry · doi:10.1097/00019442-200301000-00006 · Cited by 384
Metadata
- Authors
- Steffens, D. C.
- Venue
- Archives of General Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2000-06-01
- Volume
- 57
- Issue
- 6
- Pages
- 601-607
- ISSN
- 0003-990X (ISSN-L)
- OpenAlex
- W1986712720
- Cited by
- 457
- References
- 1
- FWCI
- 22.09
- 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 Its Treatment in an Elderly Population: The Cache County Study. https://app.cochat.ai/papers/10.1001/archpsyc.57.6.601
- The paper
- Steffens, D. C. (2000). Prevalence of Depression and Its Treatment in an Elderly Population: The Cache County Study. Archives of General Psychiatry. https://doi.org/10.1001/archpsyc.57.6.601
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.