Literature DB >> 31691151

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

Alberto Cella1, Alice De Luca2, Valentina Squeri2, Sara Parodi2, Matteo Puntoni3, Francesco Vallone4, Angela Giorgeschi4, Valentina Garofalo4, Ekaterini Zigoura4, Barbara Senesi4, Lorenzo De Michieli5, Jody Saglia2, Carlo Sanfilippo2, Alberto Pilotto4,6.   

Abstract

BACKGROUND: 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. AIMS: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

Entities:  

Keywords:  Assessment; Balance; Physical function; Physical performance; Robotic device

Mesh:

Year:  2019        PMID: 31691151     DOI: 10.1007/s40520-019-01395-0

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  5 in total

1.  Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults.

Authors:  Alberto Cella; Alice De Luca; Valentina Squeri; Sara Parodi; Francesco Vallone; Angela Giorgeschi; Barbara Senesi; Ekaterini Zigoura; Katerin Leslie Quispe Guerrero; Giacomo Siri; Lorenzo De Michieli; Jody Saglia; Carlo Sanfilippo; Alberto Pilotto
Journal:  PLoS One       Date:  2020-06-25       Impact factor: 3.240

2.  Balance and visual reliance in post-COVID syndrome patients assessed with a robotic system: a multi-sensory integration deficit.

Authors:  Fabrizio Gervasoni; Antonella LoMauro; Vincenzo Ricci; Gregorio Salce; Arnaldo Andreoli; Alessandro Visconti; Leonardo Pantoni
Journal:  Neurol Sci       Date:  2021-10-06       Impact factor: 3.307

3.  Perspective: Balance Assessments in Progressive Supranuclear Palsy: Lessons Learned.

Authors:  Marian L Dale; Austin L Prewitt; Graham R Harker; Grace E McBarron; Martina Mancini
Journal:  Front Neurol       Date:  2022-01-27       Impact factor: 4.003

Review 4.  Effectiveness of Platform-Based Robot-Assisted Rehabilitation for Musculoskeletal or Neurologic Injuries: A Systematic Review.

Authors:  Anil Babu Payedimarri; Matteo Ratti; Riccardo Rescinito; Kris Vanhaecht; Massimiliano Panella
Journal:  Bioengineering (Basel)       Date:  2022-03-22

5.  Effectiveness of robotic balance training on postural instability in patients with mild Parkinson's disease: A pilot, single blind, randomized controlled trial.

Authors:  Stefania Spina; Salvatore Facciorusso; Nicoletta Cinone; Raffaella Armiento; Alessandro Picelli; Christian Avvantaggiato; Chiara Ciritella; Pietro Fiore; Andrea Santamato
Journal:  J Rehabil Med       Date:  2021-02-17       Impact factor: 2.912

  5 in total

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