Robotic balance assessment in community-dwelling older people with different grades of impairment of physical performance

• DOI: 10.1007/s40520-019-01395-0
• Publication Date: 2019-11-05T06:04:26Z
• Authors: Alberto Cella; Alice De Luca; Valentina Squeri; Sara Parodi; Matteo Puntoni; Francesco Vallone; Angela Giorgeschi; Valentina Garofalo; Ekaterini Zigoura; Barbara Senesi; Lorenzo De Michieli; Jody Saglia; Carlo Sanfilippo; Alberto Pilotto
• Keywords: Balance; Aged, 80 and over; Male; Robotics; Assessment; Physical Functional Performance; Robotic device; Physical performance; 03 medical and health sciences; 0302 clinical medicine; Risk Factors; Physical function; Humans; Accidental Falls; Female; Independent Living; Geriatric Assessment; Postural Balance; Aged

Impaired physical performance is common in older adults and has been identified as a major risk factor for falls. To date, there are no conclusive data on the impairment of balance parameters in older subjects with different levels of physical performance.The aim of this study was to investigate the relationship between different grades of physical performance, as assessed by the Short Physical Performance Battery (SPPB), and the multidimensional balance control parameters, as measured by means of a robotic system, in community-dwelling older adults.This study enrolled subjects aged ≥ 65 years. Balance parameters were assessed by the hunova robot in static and dynamic (unstable and perturbating) conditions, in both standing and seated positions and with the eyes open/closed.The study population consisted of 96 subjects (62 females, mean age 77.2 ± 6.5 years). According to their SPPB scores, subjects were separated into poor performers (SPPB < 8, n = 29), intermediate performers (SPPB = 8-9, n = 29) and good performers (SPPB > 9, n = 38). Poor performers displayed significantly worse balance control, showing impaired trunk control in most of the standing and sitting balance tests, especially in dynamic (both with unstable and perturbating platform/seat) conditions.For the first time, multidimensional balance parameters, as detected by the hunova robotic system, were significantly correlated with SPPB functional performances in community-dwelling older subjects. In addition, balance parameters in dynamic conditions proved to be more sensitive in detecting balance impairments than static tests.