Frailty at Risk Scale (FARS): development and application

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.

Bayesian Techniques in Predicting Frailty among Community-Dwelling Older Adults in the Netherlands

“…A total of 484 participants completed the questionnaire (41.94% response rate) Gobbens et al (2010b). As in a previous study, the data from five participants were left out of the analyses as they had too many missing values, leaving a data set of 479 participants Gobbens and Van Der Ploeg (2022). Part A of the TFI was used to collect data for the ten determinants of frailty: age, sex, marital status ethnicity, education, income, lifestyle, multimorbidity, life events, and home living environment.…”