TY - JOUR
T1 - Can postural control asymmetry predict falls in people with Parkinson's disease?
AU - Beretta, Victor Spiandor
AU - Barbieri, Fabio Augusto
AU - Orcioli-Silva, Diego
AU - Dos Santos, Paulo Cezar Rocha
AU - Simieli, Lucas
AU - Vitório, Rodrigo
AU - Gobbi, Lilian Teresa Bucken
N1 - Funding information: The authors would like to thank the São Paulo Research Foundation (FAPESP) (grant numbers 2013/00925-4, 2012/24040-9, and 2010/07040-0) for financial support.
PY - 2018/10
Y1 - 2018/10
N2 - This study aimed to determine the relationship between postural asymmetry and falls in Parkinson's disease (PD). In total, 28 patients with PD were included. Postural control was analyzed in bipedal, tandem, and unipedal standing. Center of pressure (CoP) parameters were calculated for both limbs, and asymmetry was assessed using the asymmetry index. Logistic regression was used to predict/classify fallers through postural asymmetry. The Spearman correlation was performed to relate asymmetry and falls number. Poisson regression models were created to predict the number of falls in each condition. The results demonstrated that asymmetry can classify 75% of fallers and nonfallers. Asymmetry in anteroposterior-mean velocity of CoP in unipedal standing was related to the number of falls. Poisson regression showed that anteroposterior-mean velocity of CoP predicts falls in PD, indicating that increased asymmetry results in a greater number of falls. Anteroposterior-mean velocity of CoP seems to be a sensitive parameter to detect falls in PD, mainly during a postural challenging task.
AB - This study aimed to determine the relationship between postural asymmetry and falls in Parkinson's disease (PD). In total, 28 patients with PD were included. Postural control was analyzed in bipedal, tandem, and unipedal standing. Center of pressure (CoP) parameters were calculated for both limbs, and asymmetry was assessed using the asymmetry index. Logistic regression was used to predict/classify fallers through postural asymmetry. The Spearman correlation was performed to relate asymmetry and falls number. Poisson regression models were created to predict the number of falls in each condition. The results demonstrated that asymmetry can classify 75% of fallers and nonfallers. Asymmetry in anteroposterior-mean velocity of CoP in unipedal standing was related to the number of falls. Poisson regression showed that anteroposterior-mean velocity of CoP predicts falls in PD, indicating that increased asymmetry results in a greater number of falls. Anteroposterior-mean velocity of CoP seems to be a sensitive parameter to detect falls in PD, mainly during a postural challenging task.
KW - Center of pressure
KW - Fallers
KW - Movement disorders
KW - Posture
UR - http://www.scopus.com/inward/record.url?scp=85054558135&partnerID=8YFLogxK
U2 - 10.1123/mc.2017-0033
DO - 10.1123/mc.2017-0033
M3 - Article
C2 - 29651890
AN - SCOPUS:85054558135
VL - 22
SP - 449
EP - 461
JO - Motor Control
JF - Motor Control
SN - 1087-1640
IS - 4
ER -