Handgrip Strength Time Profile and Frailty: An Exploratory Study

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Diana Urbano (Author) FEUP; Maria Teresa Restivo (Author) Other; Manuel Romano Barbosa (Author) FEUP; Ângela Fernandes (Author) Other; Paulo Abreu (Author) FEUP; Maria de Fátima Chousal (Author) Other; Tiago Coelho (Author) Other

Journal

Title: Applied Sciences

Vol. 11

Pages: 1-5134

Publisher: MDPI

Indexing

ISI Web of Knowledge - 1 Citation

Other information

Authenticus ID: P-00T-ZZA

DOI: 10.3390/app11115134

Abstract (EN): This study aims to explore the use of force vs. time data obtained from an isometric handgrip test to match a frailty state based on the TFI score. BodyGrip, a novel prototype system, is used for handgrip strength over 10 s time interval tests. A cross-sectional study with a non-probabilistic sample of community-dwelling elderly women was conducted. The force/time data collected from the dominant handgrip strength test, together with the Tilburg Frailty Indicator (TFI) test results, were used to train artificial neural networks. Different models were tested, and the frailty matching of TFI scores reached a minimum accuracy of 75%. Despite the small sample size, the BodyGrip system appears to be a promising tool for exploring new frailty-related features. The adopted strategy foresees ultimately configuring the system to be used as an expedite mode for identifying individuals at risk, allowing an easy, quick, and frequent person-centered care approach. Additionally, it is suitable for following up of the elderly in particular, and it may assume a relevant role in the mitigation of the increase in frailty evolution during and after the imposed isolation of the COVID-19 pandemic. Further use of the system will improve the robustness of the artificial neural network algorithm.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14