Abstract
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.
Highlights
Population aging is a global phenomenon caused by a decline in fertility and an increase in life expectancy
The present study aims at exploring HGSt data obtained from an isometric handgrip test and to match it with a frailty state based on the Tilburg Frailty Indicator (TFI) score
Together with a software application developed veloped for a PC, the BodyGrip system permits performing different calculations from for a PC, the BodyGrip system permits different from measuring measuring data provided by the deviceperforming to recording them incalculations a local or remote database, data provided by the device to recording them in a local or remote database, processing to processing the data and offering digital monitoring of all features
Summary
Population aging is a global phenomenon caused by a decline in fertility and an increase in life expectancy. As the number of elderly people grows, so does the prevalence of chronic diseases and frailty, challenging health and social services all over the world [1,2]. Frailty is a state of high vulnerability in which minor stressors may lead to negative outcomes, such as hospitalization, disability, institutionalization or death [3]. It is caused by physiological age-related changes, by comorbidity, and, in some instances, by life-course determinants [4]. The screening of frailty is crucial to ensure the dignity and quality of life of older populations
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