The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Prevalence of frailty in Japan: A systematic review and meta-analysis
Open accessAbstract
Japan's population is aging more rapidly than that of any other country. Frailty has recently been recognized as an important priority. Understanding the basic epidemiology of frailty in Japan, which is an example of a rapidly aging society, will be beneficial for Japan as well as other countries expecting an aging population. A systematic literature search of 11 electronic databases was conducted in March 2016 using a comprehensive set of Medical Subject Heading and text terms for any studies published in 2000 or later that report the prevalence of frailty among Japanese community-dwelling older people aged 65 years or older. A total of 1529 studies were identified in the systematic search, of which five studies were included in this review. The pooled prevalence of frailty, prefrailty, and robustness was 7.4% (95% confidence interval [CI], 6.1%-9.0%), 48.1% (95% CI, 41.6%-54.8%), and 44.4% (95% CI, 37.2%-51.7%), respectively. A significant degree of heterogeneity was observed. There was no evidence of publication bias. Age-stratified meta-analyses of four studies showed the pooled prevalence of frailty was 1.9%, 3.8%, 10.0%, 20.4%, and 35.1% for those aged 65-69, 70-74, 75-79, 80-84, and ≥85 years, respectively. Pooled prevalence of frailty was 8.1% for women and 7.6% for men. This review showed an overall pooled prevalence of frailty among Japanese community-dwelling older people of 7.4%. The age-stratified analysis suggested that Japanese older people are less frail before their late 70's but frailer in later life than older people in other countries. These findings provide important basic information for all parties involved in Japanese frailty research.
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
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Frailty in Older Adults: Evidence for a Phenotype
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., Seeman, T., Tracy, R., Kop, W. J., Burke, G., et al. (2001) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/56.3.m146 · Cited by 24,907
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Clegg, A., Young, J., Iliffe, S., Rikkert, M. O., & Rockwood, K. (2013) · The Lancet · doi:10.1016/s0140-6736(12)62167-9 · Cited by 9,503
Self-citationA global clinical measure of fitness and frailty in elderly people
Rockwood, K. (2005) · Canadian Medical Association Journal · doi:10.1503/cmaj.050051 · Cited by 8,968
Prevalence of frailty in community-dwelling older persons: a systematic review
Collard, R. M., Boter, H., Schoevers, R. A., & Oude Voshaar, R. C. (2012) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2012.04054.x · Cited by 3,073
Accumulation of Deficits as a Proxy Measure of Aging
Mitnitski, A. B., Mogilner, A. J., & Rockwood, K. (2001) · The Scientific World JOURNAL · doi:10.1100/tsw.2001.58 · Cited by 2,893
Cited by
Chen, L., Hwang, A., Lee, W., Peng, L., Lin, M., Neil, D. L., Shih, S., Loh, C., Chiou, S., & Taiwan Health Promotion Intervention Study for Elders research group (2020) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.12534 · Cited by 134
Yu, R., Wu, W.-C., Leung, J., Hu, S. C., & Woo, J. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14101096 · Cited by 39
Metadata
- Authors
- Kojima, G., Iliffe, S., Taniguchi, Y., Shimada, H., Rakugi, H., & Walters, K.
- Venue
- Journal of Epidemiology
- Publisher
- Japan Epidemiological Association
- Published
- 2017-08
- Volume
- 27
- Issue
- 8
- Pages
- 347-353
- ISSN
- 0917-5040 (ISSN-L)
- OpenAlex
- W2549083214
- Cited by
- 389
- References
- 38
- FWCI
- 1.71
- Type
- journal article
- Language
- en
- Open access
- gold
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 frailty in Japan: A systematic review and meta-analysis. https://app.cochat.ai/papers/10.1016/j.je.2016.09.008
- The paper
- Kojima, G., Iliffe, S., Taniguchi, Y., Shimada, H., Rakugi, H., & Walters, K. (2017). Prevalence of frailty in Japan: A systematic review and meta-analysis. Journal of Epidemiology. https://doi.org/10.1016/j.je.2016.09.008
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.