scholarly journals A new postural stability-indicator to predict the level of fear of falling in Parkinson’s disease patients

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Ehsan Pourghayoomi ◽  
Saeed Behzadipour ◽  
Mehdi Ramezani ◽  
Mohammad Taghi Joghataei ◽  
Gholam Ali Shahidi
2020 ◽  
Author(s):  
Ehsan Pourghayoomi ◽  
Saeed Behzadipour ◽  
Mehdi Ramezani ◽  
Mohammad Taghi Joghataei ◽  
Gholamali shahidi

Abstract Background Fear of falling (FoF) is defined as a lasting concern about falling that causes a person to limit or even stop the daily activities that he/she is capable of. 70% of Parkinson’s disease (PD) patients report activity limitations due to FoF. Timely identification of FoF is critical to prevent its additional adverse effects on the quality of life. Self-report questionnaires are commonly used to evaluate the FoF, which may be prone to human error. Objectives In this study, we attempted to identify a new postural stability-indicator to objectively predict the intensity of FoF and its related behavior(s) in PD patients. Methods Thirty-eight PD patients participated in the study (mean age, 61.2 years), among whom 10 (26.32%) were identified with low FoF and the rest (73.68%) with high FoF, based on Falls Efficacy Scale-International (FES-I). We used a limit of stability task calibrated to each individual and investigated the postural strategies to predict the intensity of FoF. New parameters (FTRi’s; functional time ratio) were extracted based on the center of pressure presence pattern in different rectangular areas (i = 1, 2, and 3). The task was performed on two heights to investigate FoF related behavior(s). Results FTR 1/2 (the ratio between FTR1 and FTR2) was strongly correlated with the FES-I (r = − 0.63, P < 0.001), Pull Test (r = − 0.65, P < 0.001), Timed Up and Go test (r = − 0.57, P < 0.001), and Berg Balance Scale (r = 0.62, P < 0.001). The model of FTR1/2 was identified as a best-fitting model to predicting the intensity of FoF in PD participants (sensitivity = 96.43%, specificity = 80%), using a threshold level of ≤ 2.83. Conclusions Using the proposed assessment technique we can accurately predict the intensity of FoF in PD patients. Also, The FTR1/2 index can be potentially considered as a mechanical biomarker to sense the FoF-related postural instability in PD patients.


2020 ◽  
Author(s):  
Ehsan Pourghayoomi ◽  
Saeed Behzadipour ◽  
Mehdi Ramezani ◽  
Mohammad Taghi Joghataei ◽  
Gholamali Shahidi

Abstract Background: Fear of falling (FoF) is defined as a lasting concern about falling that causes a person to limit or even stop the daily activities that he/she is capable of. Seventy percent of Parkinson’s disease (PD) patients report activity limitations due to FoF. Timely identification of FoF is critical to prevent its additional adverse effects on the quality of life. Self-report questionnaires are commonly used to evaluate the FoF, which may be prone to human error.Objectives: In this study, we attempted to identify a new postural stability-indicator to objectively predict the intensity of FoF and its related behavior(s) in PD patients. Methods: Thirty-eight PD patients participated in the study (mean age, 61.2 years), among whom 10 (26.32%) were identified with low FoF and the rest (73.68%) with high FoF, based on Falls Efficacy Scale-International (FES-I). We used a limit of stability task calibrated to each individual and investigated the postural strategies to predict the intensity of FoF. New parameters (FTRi’s; functional time ratio) were extracted based on the center of pressure presence pattern in different rectangular areas (i = 1, 2, and 3). The task was performed on two heights to investigate FoF related behavior(s). Results: FTR1/2 (the ratio between FTR1 and FTR2) was strongly correlated with the FES-I (r = −0.63, P < 0.001), Pull Test (r = −0.65, P < 0.001), Timed Up and Go test (r = −0.57, P < 0.001), and Berg Balance Scale (r = 0.62, P < 0.001). The model of FTR1/2 was identified as a best-fitting model to predicting the intensity of FoF in PD participants (sensitivity = 96.43%, specificity = 80%), using a threshold level of ≤ 2.83. Conclusions: Using the proposed assessment technique we can accurately predict the intensity of FoF in PD patients. Also, The FTR1/2 index can be potentially considered as a mechanical biomarker to sense the FoF-related postural instability in PD patients.


2020 ◽  
Author(s):  
Ehsan Pourghayoomi ◽  
Saeed Behzadipour ◽  
Mehdi Ramezani ◽  
Mohammad Taghi Joghataei ◽  
Gholamali Shahidi

Abstract Background: Fear of falling (FoF) is defined as a lasting concern about falling that causes a person to limit or even stop the daily activities that he/she is capable of. Seventy percent of Parkinson’s disease (PD) patients report activity limitations due to FoF. Timely identification of FoF is critical to prevent its additional adverse effects on the quality of life. Self-report questionnaires are commonly used to evaluate the FoF, which may be prone to human error.Objectives: In this study, we attempted to identify a new postural stability-indicator to objectively predict the intensity of FoF and its related behavior(s) in PD patients. Methods: Thirty-eight PD patients participated in the study (mean age, 61.2 years), among whom 10 (26.32%) were identified with low FoF and the rest (73.68%) with high FoF, based on Falls Efficacy Scale-International (FES-I). We used a limit of stability task calibrated to each individual and investigated the postural strategies to predict the intensity of FoF. New parameters (FTRi’s; functional time ratio) were extracted based on the center of pressure presence pattern in different rectangular areas (i = 1, 2, and 3). The task was performed on two heights to investigate FoF related behavior(s). Results: FTR1/2 (the ratio between FTR1 and FTR2) was strongly correlated with the FES-I (r = −0.63, P < 0.001), Pull Test (r = −0.65, p < 0.001), Timed Up and Go test (r = −0.57, p < 0.001), and Berg Balance Scale (r = 0.62, p < 0.001). The model of FTR1/2 was identified as a best-fitting model to predicting the intensity of FoF in PD participants (sensitivity = 96.43%, specificity = 80%), using a threshold level of ≤ 2.83. Conclusions: Using the proposed assessment technique we can accurately predict the intensity of FoF in PD patients. Also, The FTR1/2 index can be potentially considered as a mechanical biomarker to sense the FoF-related postural instability in PD patients.


2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Margaret K. Y. Mak ◽  
Marco Y. C. Pang ◽  
Vincent Mok

The present study aimed to examine the contribution of gait impairment, postural stability and muscle weakness to the level of fear of falling in people with Parkinson's disease (PD). Fifty-seven community-dwelling individuals with PD completed the study. Fear of falling was assessed by the Activities-specific Balance Confidence (ABC) scale. Postural stability and gait difficulty were determined by the posture and gait subscores of the Unified Parkinson's Disease Rating Scale (UPDRS-PG). A Cybex dynamometer was used to measure isokinetic knee muscle strength. Individuals with PD achieved a mean ABC score of73.6±19.3. In the multiple regression analysis, after accounting for basic demographics, fall history and disease severity, the UPDRS-PG score remained independently associated with the ABC score, accounting for 13.4% of the variance (P<0.001). The addition of knee muscle strength significantly improved the prediction model and accounted for an additional 7.3% of the variance in the ABC score (P<0.05). This is the first study to demonstrate that the UPDRS-PG score and knee muscle strength are important and independent determinants of the level of fear of falling in individuals with PD. Improving balance, gait stability and knee muscle strength could be crucial in promoting balance confidence in the appropriately targeted PD population.


2010 ◽  
Vol 12 (5) ◽  
pp. 446-454 ◽  
Author(s):  
Christopher Dromey ◽  
Eon Jarvis ◽  
Stuart Sondrup ◽  
Shawn Nissen ◽  
K. Bo Foreman ◽  
...  

2018 ◽  
Vol 61 ◽  
pp. 90-97 ◽  
Author(s):  
Carla Silva-Batista ◽  
Daniel M. Corcos ◽  
Hélcio Kanegusuku ◽  
Maria Elisa Pimentel Piemonte ◽  
Lilian Teresa Bucken Gobbi ◽  
...  

2008 ◽  
Vol 14 ◽  
pp. S29
Author(s):  
M. Jahanshahi ◽  
S. Rahman ◽  
H.J. Griffin ◽  
N.P. Quinn

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