The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Depressive Symptomatology as a Risk Factor for Falls in Older People: Systematic Review and Meta‐Analysis
Abstract
Objectives: To conduct a systematic literature review and meta‐analysis to evaluate studies that have addressed depressive symptoms as a risk factor for falls in older people. Design: Systematic review with meta‐analysis. Setting: Community and residential care. Participants: Individuals aged 60 and older. Measurements: Depressive symptoms, incidence of falls. Results: Twenty‐five prospective studies with a total of 21,455 participants met inclusion criteria for the systematic review. Twenty studies met criteria for the meta‐analyses. Recruitment of participants was conducted randomly or by approaching groups with identified healthcare needs. Eleven measures were used to assess depressive symptoms, and length of follow‐up for falls ranged from 90 days to 8 years. Reporting of antidepressant use was variable across studies. The pooled effect of 14 studies reporting odds ratios ( OR s) indicated that a higher level of depressive symptoms at baseline resulted in a greater likelihood of falling during follow‐up ( OR = 1.46, 95% confidence interval ( CI ) = 1.27–1.67, P < .001, I 2 = 77.2%). In six studies reporting relative risks ( RR s) or hazard ratios, a higher level of depressive symptoms at baseline resulted in a greater likelihood of falling during follow‐up ( RR = 1.52, 95% CI = 1.19–1.84, P < .001). There was no difference between community samples and those with identified healthcare needs with respect to depressive symptoms being a risk factor for falls. Conclusion: Depressive symptoms were found to be consistently associated with falls in older people, despite the use of different measures of depressive symptoms and falls and varying length of follow‐up and statistical methods. Clinicians should consider management of depression when implementing fall prevention initiatives, and further research on factors mediating depressive symptoms and fall risk in older people is needed.
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
Antidepressant use and risk of adverse outcomes in older people: population based cohort study
Coupland, C., Dhiman, P., Morriss, R., Arthur, A., Barton, G., & Hippisley-Cox, J. (2011) · BMJ · doi:10.1136/bmj.d4551 · Cited by 833
Incidence and predictors of falls in the Chinese elderly
Chu, L., Chi, I., & Chiu, A. (2005) · Annals of the Academy of Medicine, Singapore · doi:10.47102/annals-acadmedsg.v34n1p60 · Cited by 316
Anstey, K. J., von Sanden, C., Sargent-Cox, K., & Luszcz, M. A. (2007) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e31802e21d8 · Cited by 192
Cited by
Gale, C. R., Cooper, C., & Aihie Sayer, A. (2016) · Age and Ageing · doi:10.1093/ageing/afw129 · Cited by 474
Prevention of Falls in Community-Dwelling Older Adults
Ganz, D. A., & Latham, N. K. (2020) · New England Journal of Medicine · doi:10.1056/nejmcp1903252 · Cited by 422
Kyrdalen, I. L., Thingstad, P., Sandvik, L., & Ormstad, H. (2019) · Physiotherapy Research International · doi:10.1002/pri.1743 · Cited by 285
Towards a Blockchain based Fall Prediction Model for Aged Care
Rupasinghe, T., Burstein, F., Rudolph, C., & Strange, S. (2019) · Proceedings of the Australasian Computer Science Week Multiconference · doi:10.1145/3290688.3290736 · Cited by 40
Combination psychotropic medicine use in older adults and risk of hip fracture
(2019) · Australian Prescriber · doi:10.18773/austprescr.2019.011 · Cited by 10
Metadata
- Authors
- Kvelde, T., McVeigh, C., Toson, B., Greenaway, M., Lord, S. R., Delbaere, K., & Close, J. C. T.
- Venue
- Journal of the American Geriatrics Society
- Publisher
- Wiley
- Published
- 2013-04-25
- Volume
- 61
- Issue
- 5
- Pages
- 694-706
- ISSN
- 0002-8614 (ISSN-L)
- 1532-5415
- OpenAlex
- W1992255714
- Cited by
- 208
- References
- 3
- FWCI
- 3.25
- 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: Depressive Symptomatology as a Risk Factor for Falls in Older People: Systematic Review and Meta‐Analysis. https://app.cochat.ai/papers/10.1111/jgs.12209
- The paper
- Kvelde, T., McVeigh, C., Toson, B., Greenaway, M., Lord, S. R., Delbaere, K., & Close, J. C. T. (2013). Depressive Symptomatology as a Risk Factor for Falls in Older People: Systematic Review and Meta‐Analysis. Journal of the American Geriatrics Society. https://doi.org/10.1111/jgs.12209
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.