Literature DB >> 35663917

Frailty at Risk Scale (FARS): development and application.

Robbert J J Gobbens1,2,3, Tjeerd van der Ploeg4.   

Abstract

The aim of this cross-sectional study was to develop a Frailty at Risk Scale (FARS) incorporating ten well-known determinants of frailty: age, sex, marital status, ethnicity, education, income, lifestyle, multimorbidity, life events, and home living environment. In addition, a second aim was to develop an online calculator that can easily support healthcare professionals in determining the risk of frailty among community-dwelling older people. The FARS was developed using data of 373 people aged ≥ 75 years. The Tilburg Frailty Indicator (TFI) was used for assessing frailty. Multivariate logistic regression analysis showed that the determinants multimorbidity, unhealthy lifestyle, and ethnicity (ethnic minority) were the most important predictors. The area under the curve (AUC) of the model was 0.811 (optimism 0.019, 95% bootstrap CI = -0.029; 0.064). The FARS is offered on a Web site, so that it can be easily used by healthcare professionals, allowing quick intervention in promoting quality of life among community-dwelling older people.
© The Author(s), under exclusive licence to Springer Nature B.V. 2021.

Entities:  

Keywords:  At-risk; Determinants; Frailty; Multimorbidity; Older people; Online calculator

Year:  2021        PMID: 35663917      PMCID: PMC9156650          DOI: 10.1007/s10433-021-00628-4

Source DB:  PubMed          Journal:  Eur J Ageing        ISSN: 1613-9372


  32 in total

Review 1.  Toward a conceptual definition of frail community dwelling older people.

Authors:  Robbert J Gobbens; Katrien G Luijkx; Maria T Wijnen-Sponselee; Jos M Schols
Journal:  Nurs Outlook       Date:  2010 Mar-Apr       Impact factor: 3.250

Review 2.  Systematic review and meta-analysis of the association between smoking and the incidence of frailty.

Authors:  Sohrab Amiri; Sepideh Behnezhad
Journal:  Neuropsychiatr       Date:  2019-07-12

Review 3.  Frailty and the Prediction of Negative Health Outcomes: A Meta-Analysis.

Authors:  Sofie Vermeiren; Roberta Vella-Azzopardi; David Beckwée; Ann-Katrin Habbig; Aldo Scafoglieri; Bart Jansen; Ivan Bautmans
Journal:  J Am Med Dir Assoc       Date:  2016-12-01       Impact factor: 4.669

4.  Validity and Reliability of the Polish Version of the Tilburg Frailty Indicator (TFI).

Authors:  I Uchmanowicz; B Jankowska-Polańska; B Uchmanowicz; K Kowalczuk; R J J Gobbens
Journal:  J Frailty Aging       Date:  2016

5.  Frailty in older adults: evidence for a phenotype.

Authors:  L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-03       Impact factor: 6.053

Review 6.  Global frailty: The role of ethnicity, migration and socioeconomic factors.

Authors:  Zeinab Majid; Carly Welch; Justine Davies; Thomas Jackson
Journal:  Maturitas       Date:  2020-05-24       Impact factor: 4.342

Review 7.  Association between oral health and frailty: A systematic review of longitudinal studies.

Authors:  Faisal F Hakeem; Eduardo Bernabé; Wael Sabbah
Journal:  Gerodontology       Date:  2019-04-26       Impact factor: 2.980

8.  Frailty, fitness and late-life mortality in relation to chronological and biological age.

Authors:  Arnold B Mitnitski; Janice E Graham; Alexander J Mogilner; Kenneth Rockwood
Journal:  BMC Geriatr       Date:  2002-02-27       Impact factor: 3.921

9.  Development and validation of an electronic frailty index using routine primary care electronic health record data.

Authors:  Andrew Clegg; Chris Bates; John Young; Ronan Ryan; Linda Nichols; Elizabeth Ann Teale; Mohammed A Mohammed; John Parry; Tom Marshall
Journal:  Age Ageing       Date:  2016-03-03       Impact factor: 10.668

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.