CoChat
Sign Up
Cited by 855Aging, Health, and DisabilityMental Health Treatment and AccessHealth and Well-being Studies

Age- and gender-specific prevalence of depression in latest-life - Systematic review and meta-analysis

Luppa, M., Sikorski, C., Luck, T., Ehreke, L., Konnopka, A., Wiese, B., Weyerer, S., König, H.-H. +1 more·2012·Journal of Affective Disorders
DOI 10.1016/j.jad.2010.11.033
Open this paper in CoChat — free account

Abstract

Objective The objective of the study is to systematically analyze the prevalence of depression in latest life (75+), particularly focusing on age- and gender-specific rates across the latest-life age groups.Design Relevant articles were identified by systematically searching the databases MEDLINE, Web of Science, Cochrane Library and Psycinfo and relevant literature from 1999 onwards was reviewed. Studies based on the community-based elderly population aged 75 years and older were included. Quality of studies was assessed. Meta-analysis was performed using random effects model.Results 24 studies reporting age- and gender-specific prevalence of depression were found. 13 studies had a high to moderate methodical quality. The prevalence of major depression ranged from 4.6% to 9.3%, and that of depressive disorders from 4.5% to 37.4%. Pooled prevalence was 7.2% (95% CI 4.4-10.6%) for major depression and 17.1% (95% CI 9.7-26.1%) for depressive disorders. Potential sources of high heterogeneity of prevalence were study design, sampling strategy, study quality and applied diagnostics of latest life depression.Conclusions Despite the wide variation in estimates, it is evident that latest life depression is common. To reduce variability of study results, particularly sampling strategies (inclusion of nursing home residents and severe cognitively impaired individuals) for the old age study populations should be addressed more thoroughly in future research.

Integrity signals

Registry

Crossref · 10.1016/j.jad.2010.11.033

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Evidence from other countries suggests that the prevalence of depression tends to increase as age increases.

    “Evidence from other countries (Arias-de la Torre et al., 2018;Luppa et al., 2012;Maske et al., 2016), suggests that the prevalence of depression tends to increase as the age increases.”

    From Prevalence and age patterns of depression in the United Kingdom. A population-based study (2021) · cites this paper as Luppa et al., 2012

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Luppa, M., Sikorski, C., Luck, T., Ehreke, L., Konnopka, A., Wiese, B., Weyerer, S., König, H.-H., & Riedel-Heller, S. G.
Affiliations
  • Leipzig University (DE)
  • University Medical Center Hamburg-Eppendorf (DE)
  • Medizinische Hochschule Hannover (DE)
  • Central Institute of Mental Health (DE)
Corresponding author
Luppa, M.
ORCID
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2012-02
Volume
136
Issue
3
Pages
212-221
ISSN
0165-0327 (ISSN-L)
DOI
10.1016/j.jad.2010.11.033
OpenAlex
W2060854717
Cited by
855
References
53
Citations by year
2026: 44 · 2025: 61 · 2024: 78 · 2023: 70 · 2022: 72 · 2021: 86 · 2020: 70 · 2019: 75 · 2018: 53 · 2017: 55 · 2016: 53 · 2015: 53 · 2014: 38 · 2013: 26 · 2012: 17
FWCI
2.12
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Social Sciences › Psychology › Clinical Psychology › Health and Well-being Studies
Keywords
depression, oldest old, age-specific prevalence, gender differences, major depressive disorder, depressive disorders, community-dwelling older adults, nursing home residents, cognitive impairment
MeSH terms
Age Factors, Aged, Aged, 80 and over, Depression, Depressive Disorder, Female, Humans, Male, Sex Factors, United States, Prevalence

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