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Aging, frailty, and their effects on motor performance: evidence from kinematic analysis.

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Title: Aging, frailty, and their effects on motor performance: evidence from kinematic analysis.
Authors: De Riggi, Martina (AUTHOR), Paparella, Giulia (AUTHOR), Cannavacciuolo, Antonio (AUTHOR), Salzillo, Martina (AUTHOR), Nuti, Filippo (AUTHOR), Quarta, Ludovica (AUTHOR), Birreci, Daniele (AUTHOR), Costa, Davide (AUTHOR), Angelini, Luca (AUTHOR), Canevelli, Marco (AUTHOR), Bologna, Matteo (AUTHOR)
Source: Neurological Sciences. Jul2025, Vol. 46 Issue 7, p3097-3106. 10p.
Subjects: Older people, Cognitive psychology, Age groups, Frailty, Rank correlation (Statistics)
Abstract: Introduction: Aging is commonly linked to motor impairment. However, the relationship between motor performance across age groups and frailty remains unexplored through objective analysis. Objective: To kinematically evaluate motor performance in older and younger adults and investigate its potential connection to frailty. Methods: We included 65 healthy subjects (40 females, age range 46–83 years). We used kinematic techniques to study finger-tapping and measure several movement parameters, i.e., number of movements, movement rhythm, amplitude and velocity, as well as progressive reduction in amplitude and velocity during movement repetition (sequence effect). The frailty status was evaluated using a 40-item Frailty Index (FI). We also evaluated cognitive functions, using the Mini Mental State Examination (MMSE) and the Frontal Assessment Battery (FAB). We tested possible relationships between clinical and kinematic data using Spearman's correlation. Results: A key finding was a significant difference in movement velocity between younger and older adults, with the latter exhibiting lower values (P = 0.014). Accordingly, age significantly correlated with movement velocity (ρ = -0.335, P = 0.037). Among older adults, movement velocity was also found to correlate with frailty (ρr = -0.297, P = 0.033), thus indicating that greater frailty is associated with more impaired motor performance. Conclusions: The relationship between the age-related slowed movement execution and frailty suggests that motor performance may serve as a sensitive indicator of physical vulnerability in aging populations. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Aging, frailty, and their effects on motor performance: evidence from kinematic analysis.
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  Data: <searchLink fieldCode="AR" term="%22De+Riggi%2C+Martina%22">De Riggi, Martina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Paparella%2C+Giulia%22">Paparella, Giulia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cannavacciuolo%2C+Antonio%22">Cannavacciuolo, Antonio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Salzillo%2C+Martina%22">Salzillo, Martina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nuti%2C+Filippo%22">Nuti, Filippo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Quarta%2C+Ludovica%22">Quarta, Ludovica</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Birreci%2C+Daniele%22">Birreci, Daniele</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Costa%2C+Davide%22">Costa, Davide</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Angelini%2C+Luca%22">Angelini, Luca</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Canevelli%2C+Marco%22">Canevelli, Marco</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bologna%2C+Matteo%22">Bologna, Matteo</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Jul2025, Vol. 46 Issue 7, p3097-3106. 10p.
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  Data: Introduction: Aging is commonly linked to motor impairment. However, the relationship between motor performance across age groups and frailty remains unexplored through objective analysis. Objective: To kinematically evaluate motor performance in older and younger adults and investigate its potential connection to frailty. Methods: We included 65 healthy subjects (40 females, age range 46–83 years). We used kinematic techniques to study finger-tapping and measure several movement parameters, i.e., number of movements, movement rhythm, amplitude and velocity, as well as progressive reduction in amplitude and velocity during movement repetition (sequence effect). The frailty status was evaluated using a 40-item Frailty Index (FI). We also evaluated cognitive functions, using the Mini Mental State Examination (MMSE) and the Frontal Assessment Battery (FAB). We tested possible relationships between clinical and kinematic data using Spearman's correlation. Results: A key finding was a significant difference in movement velocity between younger and older adults, with the latter exhibiting lower values (P = 0.014). Accordingly, age significantly correlated with movement velocity (ρ = -0.335, P = 0.037). Among older adults, movement velocity was also found to correlate with frailty (ρr = -0.297, P = 0.033), thus indicating that greater frailty is associated with more impaired motor performance. Conclusions: The relationship between the age-related slowed movement execution and frailty suggests that motor performance may serve as a sensitive indicator of physical vulnerability in aging populations. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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