The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Prevalence and Risk Factors for Frailty Among Community-Dwelling Older People in China: A Systematic Review and Meta-Analysis
Open accessAbstract
OBJECTIVE: To systematically assess the prevalence of frailty, including prefrailty, stratified prevalence according to frailty criteria, gender, age, and region, and the risk factors for frailty in China. DESIGN: We conducted a systematic literature review and meta-analysis using articles available in 8 databases including PubMed, Cochrane Library, Web of Science, CINAHL Plus, China Knowledge Resource Integrated Database (CNKI), Wanfang Database, Chinese Biomedical Database (CBM), and Weipu Database (VIP). SETTING: Cross-sectional and cohort data from Chinese community. PARTICIPANTS: Community-dwelling adults aged 65 and older. MEASUREMENTS: Two authors independently extracted data based upon predefined criteria. Where data were available we conducted a meta-analysis of frailty parameters using a random-effects model. RESULTS: We screened 915 different articles, and 14 studies (81258 participants) were ultimately included in this analysis. The prevalence of frailty and prefrailty in individual studies varied from 5.9% to 17.4% and from 26.8% to 62.8%, respectively. The pooled prevalence of frailty and prefrailty were 10% (95% CI: 8% to 12%, I2 = 97.4%, P = 0.000) and 43% (95% CI: 37% to 50%, I2 = 98.0%, P = 0.000), respectively. The pooled frailty prevalence was 8% for the Fried frailty phenotype, 12% for the frail index, and 15% for the FRAIL scale. Age-stratified meta-analyses showed the pooled prevalence of frailty to be 6%, 15%, and 25% for those aged 65-74, 75-84, and ≥85 years old, respectively. The pooled prevalence of frailty was 8% for males and 11% for females. The pooled prevalence of frailty in Mainland China, Taiwan, and Hong Kong was 12%, 8%, and 14%, respectively. The pooled frailty prevalence was 10% in urban areas and 7% in rural areas. After controlling for confounding variables, increasing age (OR = 1.28, 95% CI: 1.2 to 1.36, I2 = 98.0%, P = 0.000), being female (OR = 1.29, 95% CI: 1.16 to 1.43, I2 =92.7%, P=0.000), activities of daily living (ADL) disability (OR = 1.72, 95% CI: 1.57 to 1.90, I2 = 99.7%, P = 0.000), and having three or more chronic diseases (OR = 1.97, 95% CI: 1.78 to 2.18, I2 = 97.5%, P = 0.000) were associated with frailty. CONCLUSIONS: These findings of this review indicate an overall pooled prevalence of frailty among Chinese community-dwelling older people of 10%. Increasing age, being female, ADL disability, and having three or more chronic diseases were all risk factors for frailty. Further research will be needed to identify additional frailty risk factors in order to better treat and prevent frailty in the community.
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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
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
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
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
The Frailty Syndrome: Definition and Natural History
Xue, Q.-L. (2011) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2010.08.009 · Cited by 2,061
Frailty: An Emerging Public Health Priority
Cesari, M., Prince, M., Thiyagarajan, J. A., De Carvalho, I. A., Bernabei, R., Chan, P., Gutierrez-Robledo, L. M., Michel, J.-P., Morley, J. E., Ong, P., et al. (2016) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2015.12.016 · Cited by 726
Sex differences in frailty: A systematic review and meta-analysis
Gordon, E. H., Peel, N. M., Samanta, M., Theou, O., Howlett, S. E., & Hubbard, R. E. (2017) · Experimental Gerontology · doi:10.1016/j.exger.2016.12.021 · Cited by 679
Rockwood, K., Howlett, S. E., MacKnight, C., Beattie, B. L., Bergman, H., Hébert, R., Hogan, D. B., Wolfson, C., & McDowell, I. (2004) · The Journals of Gerontology: Series A · doi:10.1093/gerona/59.12.1310 · Cited by 608
Critical appraisal of the health research literature: prevalence or incidence of a health problem.
Loney, P., Chambers, L. W., BENNETT, K. J., Roberts, J. G., & Stratford, P. W. (1998) · PubMed · Cited by 550
Prevalence of Frailty in Nursing Homes: A Systematic Review and Meta-Analysis
Kojima, G. (2015) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2015.06.025 · Cited by 517
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Physical Frailty: ICFSR International Clinical Practice Guidelines for Identification and Management
Dent, E., Morley, J. E., Cruz-Jentoft, A. J., Woodhouse, L., Rodríguez-Mañas, L., Fried, L. P., Woo, J., Aprahamian, I., Sanford, A., Lundy, J., et al. (2019) · The Journal of nutrition, health and aging · doi:10.1007/s12603-019-1273-z · Cited by 1,049
Fang, E. F., Xie, C., Schenkel, J. A., Wu, C., Long, Q., Cui, H., Aman, Y., Frank, J., Liao, J., Zou, H., et al. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101174 · Cited by 675
Zhou, W., Qiao, X., Liu, T., Wen, L., Gao, H., Wang, C., Jin, Y., Si, H., Bian, Y., Liu, Q., et al. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.08.029 · Cited by 8
Self-citation
Metadata
- Authors
- He, B., Ma, Y., Wang, C., Jiang, M., Geng, C., Chang, X., Ma, B., & Han, L.
- Venue
- The Journal of nutrition, health and aging
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 23
- Issue
- 5
- Pages
- 442-450
- ISSN
- 1279-7707 (ISSN-L)
- OpenAlex
- W2919418354
- Cited by
- 293
- References
- 38
- FWCI
- 5.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- He, B., Ma, Y., Wang, C., Jiang, M., Geng, C., Chang, X., Ma, B., & Han, L. (2019). Prevalence and Risk Factors for Frailty Among Community-Dwelling Older People in China: A Systematic Review and Meta-Analysis. The Journal of nutrition, health and aging. https://doi.org/10.1007/s12603-019-1179-9
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