Literature DB >> 30659942

Transitions between frailty states among community-dwelling older people: A systematic review and meta-analysis.

Gotaro Kojima1, Yu Taniguchi2, Steve Iliffe3, Stephen Jivraj4, Kate Walters3.   

Abstract

Frailty is a well-established risk factor for adverse health outcomes. However, comparatively little is known about the dynamic nature of frailty and the extent to which it can improve. The purposes of this study were to systematically search for studies examining frailty transitions over time among community-dwelling older people, and to synthesise pooled frailty transitions rates. Four electronic databases (Medline, Embase, PsycINFO and CINAHL) were searched in July 2018. Inclusion criteria were: prospective design, community-dwelling older people with mean age>60, using 5-item frailty phenotype criteria to define three states: robust, prefrail and frail and the numbers of participants with 9 frailty transition patterns based on frailty status at baseline and follow-up. Exclusion criteria were: selected populations, using fewer than 5 frailty phenotype criteria. Two investigators independently screened 504 studies for eligibility and identified 16 studies for this review. Data were extracted by the two investigators independently. Pooled rates of frailty transition patterns were calculated by random-effects meta-analysis. Among 42,775 community-dwelling older people from 16 studies with a mean follow-up of 3.9 years (range: 1-10 years), 13.7% (95%CI = 11.7-15.8%) improved, 29.1% (95%CI = 25.9-32.5%) worsened and 56.5% (95%CI = 54.2-58.8%) maintained the same frailty status. Among those who were robust at baseline, pooled rates of remaining robust or transitioning to prefrail and frail were 54.0% (95%CI = 48.8-59.1%), 40.6% (95%CI = 36.7-44.7%) and 4.5% (95%CI = 3.2-6.1%), respectively. Among those who were prefrail at baseline, corresponding rates to robust, prefrail and frail were 23.1% (95%CI = 18.8-27.6%), 58.2% (95%CI = 55.6-60.7%) and 18.2% (95%CI = 14.9-21.7%), respectively. Among those who were frail at baseline, pooled rates of transitioning to robust, prefrail and remaining frail were 3.3% (95%CI = 1.6-5.5%), 40.3% (95%CI = 34.6-46.1%) and 54.5% (95%CI = 47.6-61.3%), respectively. Stratified and meta-regression analyses showed age, gender and follow-up period were associated with frailty transition patterns. Older people make dynamic changes in their frailty status. Given that while one quarter of prefrail older people improved to robust only 3% of frail older people did, early interventions should be considered.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Change; Frail elderly; Frailty; Meta-analysis; Systematic review; Transition

Mesh:

Year:  2019        PMID: 30659942     DOI: 10.1016/j.arr.2019.01.010

Source DB:  PubMed          Journal:  Ageing Res Rev        ISSN: 1568-1637            Impact factor:   10.895


  47 in total

1.  The prevalence of frailty and its associated factors in an Italian institutionalized older population: findings from the cross-sectional Alvise Cornaro Center Study.

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2.  A study on prevalence and associations of non-robustness in older adults aged 65 years and above attending a general practitioner clinic in Ang Mo Kio.

Authors:  Junjie Aw; Eng Sing Lee; Grace Chiang; Boon Yeow Tan
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3.  Prevalence and associated factors of frailty among community dwelling older adults in Northwest China: a cross-sectional study.

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Review 4.  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
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5.  Risk Factors of Progression to Frailty: Findings from the Singapore Longitudinal Ageing Study.

Authors:  C Y Cheong; M S Z Nyunt; Q Gao; X Gwee; R W M Choo; K B Yap; S L Wee; T P Ng
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6.  A Systematic Review of Frailty Trajectories: Their Shape and Influencing Factors.

Authors:  Miles Welstead; Natalie D Jenkins; Tom C Russ; Michelle Luciano; Graciela Muniz-Terrera
Journal:  Gerontologist       Date:  2021-11-15

7.  Profiles of Frailty among Older People Users of a Home-Based Primary Care Service in an Urban Area of Barcelona (Spain): An Observational Study and Cluster Analysis.

Authors:  Juan-José Zamora-Sánchez; Edurne Zabaleta-Del-Olmo; Sergio Fernández-Bertolín; Vicente Gea-Caballero; Iván Julián-Rochina; Gemma Pérez-Tortajada; Jordi Amblàs-Novellas
Journal:  J Clin Med       Date:  2021-05-13       Impact factor: 4.241

8.  Food insecurity and frailty among women with and without HIV in the United States: a cross-sectional analysis.

Authors:  Judy Y Tan; Lila A Sheira; Edward A Frongillo; Deborah Gustafson; Anjali Sharma; Daniel Merenstein; Mardge H Cohen; Elizabeth Golub; Andrew Edmonds; Igho Ofotokun; Margaret Fischl; Deborah Konkle-Parker; Torsten Neilands; Phyllis Tien; Sheri D Weiser
Journal:  J Int AIDS Soc       Date:  2021-06       Impact factor: 6.707

9.  Relationship Between Medication Literacy and Frailty in Elderly Inpatients With Coronary Heart Disease: A Cross-Sectional Study in China.

Authors:  Jiling Qu; Ting Zhou; Mengxin Xue; Huiping Sun; Yijing Shen; Yongbing Liu
Journal:  Front Pharmacol       Date:  2021-07-08       Impact factor: 5.810

Review 10.  How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review.

Authors:  Grainne Vavasour; Oonagh M Giggins; Julie Doyle; Daniel Kelly
Journal:  J Neuroeng Rehabil       Date:  2021-07-08       Impact factor: 4.262

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