E Maranesi1, A Merlo2, S Fioretti3, D D Zemp4, I Campanini2, P Quadri4. 1. Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy. Electronic address: e.maranesi@univpm.it. 2. LAM - Motion Analysis Laboratory - AUSL of Reggio Emilia, Italy. 3. Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy. 4. Servizio Sottocenerino di Geriatria, Regional Hospitals of Lugano and Mendrisio, Switzerland.
Abstract
BACKGROUND: Identification of future non-fallers, infrequent and frequent fallers among older people would permit focusing the delivery of prevention programs on selected individuals. Posturographic parameters have been proven to differentiate between non-fallers and frequent fallers, but not between the first group and infrequent fallers. METHODS: In this study, postural stability with eyes open and closed on both a firm and a compliant surface and while performing a cognitive task was assessed in a consecutive sample of 130 cognitively able elderly, mean age 77(7)years, categorized as non-fallers (N=67), infrequent fallers (one/two falls, N=45) and frequent fallers (more than two falls, N=18) according to their last year fall history. Principal Component Analysis was used to select the most significant features from a set of 17posturographic parameters. Next, variables derived from principal component analysis were used to test, in each task, group differences between the three groups. FINDINGS: One parameter based on a combination of a set of Centre of Pressure anterior-posterior variables obtained from the eyes-open on a compliant surface task was statistically different among all groups, thus distinguishing infrequent fallers from both non-fallers (P<0.05) and frequent fallers (P<0.05). INTERPRETATION: For the first time, a method based on posturographic data to retrospectively discriminate infrequent fallers was obtained. The joint use of both the eyes-open on a compliant surface condition and this new parameter could be used, in a future study, to improve the performance of protocols and to verify the ability of this method to identify new-fallers in elderly without cognitive impairment.
BACKGROUND: Identification of future non-fallers, infrequent and frequent fallers among older people would permit focusing the delivery of prevention programs on selected individuals. Posturographic parameters have been proven to differentiate between non-fallers and frequent fallers, but not between the first group and infrequent fallers. METHODS: In this study, postural stability with eyes open and closed on both a firm and a compliant surface and while performing a cognitive task was assessed in a consecutive sample of 130 cognitively able elderly, mean age 77(7)years, categorized as non-fallers (N=67), infrequent fallers (one/two falls, N=45) and frequent fallers (more than two falls, N=18) according to their last year fall history. Principal Component Analysis was used to select the most significant features from a set of 17posturographic parameters. Next, variables derived from principal component analysis were used to test, in each task, group differences between the three groups. FINDINGS: One parameter based on a combination of a set of Centre of Pressure anterior-posterior variables obtained from the eyes-open on a compliant surface task was statistically different among all groups, thus distinguishing infrequent fallers from both non-fallers (P<0.05) and frequent fallers (P<0.05). INTERPRETATION: For the first time, a method based on posturographic data to retrospectively discriminate infrequent fallers was obtained. The joint use of both the eyes-open on a compliant surface condition and this new parameter could be used, in a future study, to improve the performance of protocols and to verify the ability of this method to identify new-fallers in elderly without cognitive impairment.
Authors: June T Spector; Jennifer Krenz; Miriam Calkins; Dawn Ryan; Jose Carmona; Mengjie Pan; Anna Zemke; Paul D Sampson Journal: Appl Ergon Date: 2017-09-15 Impact factor: 3.661
Authors: Isabella Campanini; Annalisa Bargellini; Stefano Mastrangelo; Francesco Lombardi; Stefano Tolomelli; Mirco Lusuardi; Andrea Merlo Journal: Int J Environ Res Public Health Date: 2021-02-04 Impact factor: 3.390