Literature DB >> 33068107

Prevalence of frailty in 62 countries across the world: a systematic review and meta-analysis of population-level studies.

Rónán O'Caoimh1,2,3, Duygu Sezgin1, Mark R O'Donovan1,4, D William Molloy2,3, Andrew Clegg5, Kenneth Rockwood6, Aaron Liew1,4.   

Abstract

INTRODUCTION: The prevalence of frailty at population level is unclear. We examined this in population-based studies, investigating sources of heterogeneity.
METHODS: PubMed, Embase, CINAHL and Cochrane Library databases were searched for observational population-level studies published between 1 January 1998 and 1 April 2020, including individuals aged ≥50 years, identified using any frailty measure. Prevalence estimates were extracted independently, assessed for bias and analysed using a random-effects model.
RESULTS: In total, 240 studies reporting 265 prevalence proportions from 62 countries and territories, representing 1,755,497 participants, were included. Pooled prevalence in studies using physical frailty measures was 12% (95% CI = 11-13%; n = 178), compared with 24% (95% CI = 22-26%; n = 71) for the deficit accumulation model (those using a frailty index, FI). For pre-frailty, this was 46% (95% CI = 45-48%; n = 147) and 49% (95% CI = 46-52%; n = 29), respectively. For physical frailty, the prevalence was higher among females, 15% (95% CI = 14-17%; n = 142), than males, 11% (95% CI = 10-12%; n = 144). For studies using a FI, the prevalence was also higher in females, 29% (95% CI = 24-35%; n = 34) versus 20% (95% CI = 16-24%; n = 34), for males. These values were similar for pre-frailty. Prevalence increased according to the minimum age at study inclusion. Analysing only data from nationally representative studies gave a frailty prevalence of 7% (95% CI = 5-9%; n = 46) for physical frailty and 24% (95% CI = 22-26%; n = 44) for FIs.
CONCLUSIONS: Population-level frailty prevalence varied by classification and sex. Data were heterogenous and limited, particularly from nationally representative studies making the interpretation of differences by geographic region challenging. Common methodological approaches to gathering data are required to improve the accuracy of population-level prevalence estimates. PROTOCOL REGISTRATION: PROSPERO-CRD42018105431.
© The Author(s) 2020. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Frailty; Meta-analysis; Older people; Pre-frailty; Prevalence; Regional; Systematic review

Mesh:

Year:  2021        PMID: 33068107     DOI: 10.1093/ageing/afaa219

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


  66 in total

1.  Longitudinal Association between Late-Life Depression (LLD) and Frailty: Findings from a Prospective Cohort Study (MiMiCS-FRAIL).

Authors:  M K Borges; C V Romanini; N A Lima; M Petrella; D L da Costa; V N An; B N Aguirre; J R Galdeano; I C Fernandes; J F Cecato; E C Robello; R C Oude Voshaar; I Aprahamian
Journal:  J Nutr Health Aging       Date:  2021       Impact factor: 4.075

2.  Liver frailty and all-cause mortality in the older participants of the Salus in Apulia Study.

Authors:  Roberta Zupo; Fabio Castellana; Rossella Donghia; Luisa Lampignano; Vito Guerra; Giovanni De Pergola; Madia Lozupone; Ilaria Bortone; Sara De Nucci; Rossella Tatoli; Sarah Tirelli; Giancarlo Sborgia; Gianluigi Giannelli; Francesco Panza; Rodolfo Sardone
Journal:  Geroscience       Date:  2021-08-11       Impact factor: 7.581

Review 3.  The association between metabolic syndrome and presence of frailty: a systematic review and meta-analysis.

Authors:  Xiaoman Jiang; Xinyi Xu; Lingyu Ding; Jinling Lu; Hanfei Zhu; Kang Zhao; Shuqin Zhu; Qin Xu
Journal:  Eur Geriatr Med       Date:  2022-08-29       Impact factor: 3.269

Review 4.  Physiological Systems in Promoting Frailty.

Authors:  Laís R Perazza; Holly M Brown-Borg; LaDora V Thompson
Journal:  Compr Physiol       Date:  2022-04-26       Impact factor: 8.915

5.  Predicting frailty in older adults using vocal biomarkers: a cross-sectional study.

Authors:  Yu-Chun Lin; Huang-Ting Yan; Chih-Hsueh Lin; Hen-Hong Chang
Journal:  BMC Geriatr       Date:  2022-07-01       Impact factor: 4.070

6.  Impact of lumbar spinal stenosis on metabolic syndrome incidence in community-dwelling adults in Aizu cohort study (LOHAS).

Authors:  Rei Ono; Misa Takegami; Yosuke Yamamoto; Shin Yamazaki; Koji Otani; Miho Sekiguchi; Shin-Ichi Konno; Shin-Ichi Kikuchi; Shunichi Fukuhara
Journal:  Sci Rep       Date:  2022-07-04       Impact factor: 4.996

7.  Utilisation of a Suite of Screening Tools to Determine Adverse Healthcare Outcomes in an Older Frail Population Admitted to a Community Virtual Ward.

Authors:  Clare Lewis; Rónán O'Caoimh; Declan Patton; Tom O'Connor; Zena Moore; Linda E Nugent
Journal:  Int J Environ Res Public Health       Date:  2021-05-24       Impact factor: 3.390

8.  Shaping the next steps of research on frailty: challenges and opportunities.

Authors:  Ivan Aprahamian; Qian-Li Xue
Journal:  BMC Geriatr       Date:  2021-07-19       Impact factor: 3.921

9.  Actual Frailty Conditions and Lifestyle Changes in Community-Dwelling Older Adults Affected by Coronavirus Disease 2019 Countermeasures in Japan: A Cross-Sectional Study.

Authors:  Tomoyuki Shinohara; Kosuke Saida; Shigeya Tanaka; Akihiko Murayama
Journal:  SAGE Open Nurs       Date:  2021-06-24

Review 10.  Different aspects of frailty and COVID-19: points to consider in the current pandemic and future ones.

Authors:  Hani Hussien; Andra Nastasa; Mugurel Apetrii; Ionut Nistor; Mirko Petrovic; Adrian Covic
Journal:  BMC Geriatr       Date:  2021-06-27       Impact factor: 3.921

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