Literature DB >> 23761421

Age-related decline in the rate of force development scaling factor.

Maria Bellumori1, Slobodan Jaric, Christopher A Knight.   

Abstract

Physical quickness is less in older adults with implications for fall prevention, movement initiation, and activities of daily living. The purpose was to compare control of rapid contractions in young and older adults within two diverse muscle groups: powerful elbow extensors (EE) and dexterous index finger abductors (IFA). Most-rapid force pulses to a variety of levels were recorded and peak force and rate of force development (RFD) were analyzed with linear regression. The resulting slope represents the dependent variable of interest, the RFD-scaling factor (RFD-SF). RFD-SF of EE and IFA strongly correlated both overall (r = .87, p < .01) and separately in young (r = .60, p < .05) and older (r = .77, p < .01) adults. RFD-SF values were different between muscle groups (F1,28 = 19.1, p < .001) and also less in elderly (F1,28 = 32.6, p < .001). We conclude that RFD-SF provides a sensitive assessment of muscle quickness that can be used to evaluate neuromuscular function in aging humans.

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Year:  2013        PMID: 23761421     DOI: 10.1123/mcj.17.4.370

Source DB:  PubMed          Journal:  Motor Control        ISSN: 1087-1640            Impact factor:   1.422


  11 in total

1.  A novel method to assess rate of force relaxation: reliability and comparisons with rate of force development across various muscles.

Authors:  Ryan M Mathern; Mitchel Anhorn; Mehmet Uygur
Journal:  Eur J Appl Physiol       Date:  2018-10-26       Impact factor: 3.078

2.  Simultaneous assessment of hand function and neuromuscular quickness through a static object manipulation task in healthy adults.

Authors:  Karen Haberland; Mehmet Uygur
Journal:  Exp Brain Res       Date:  2016-10-07       Impact factor: 1.972

Review 3.  Yank: the time derivative of force is an important biomechanical variable in sensorimotor systems.

Authors:  David C Lin; Craig P McGowan; Kyle P Blum; Lena H Ting
Journal:  J Exp Biol       Date:  2019-09-12       Impact factor: 3.312

4.  Inter-Limb Asymmetries in Volleyball Players: Differences between Testing Approaches and Association with Performance.

Authors:  Žiga Kozinc; Nejc Šarabon
Journal:  J Sports Sci Med       Date:  2020-11-19       Impact factor: 2.988

5.  Age-related changes in protective arm reaction kinematics, kinetics, and neuromuscular activation during evoked forward falls.

Authors:  James Borrelli; Robert Creath; Kelly Westlake; Mark W Rogers
Journal:  Hum Mov Sci       Date:  2021-12-16       Impact factor: 2.161

6.  High-Speed Cycling Intervention Improves Rate-Dependent Mobility in Older Adults.

Authors:  Maria Bellumori; Mehmet Uygur; Christopher A Knight
Journal:  Med Sci Sports Exerc       Date:  2017-01       Impact factor: 5.411

7.  Neuromuscular Fatigue Does Not Impair the Rate of Force Development in Ballistic Contractions of Submaximal Amplitudes.

Authors:  Gennaro Boccia; Davide Dardanello; Paolo Riccardo Brustio; Cantor Tarperi; Luca Festa; Chiara Zoppirolli; Barbara Pellegrini; Federico Schena; Alberto Rainoldi
Journal:  Front Physiol       Date:  2018-10-24       Impact factor: 4.566

8.  Interlimb Asymmetries Identified Using the Rate of Torque Development in Ballistic Contraction Targeting Submaximal Torques.

Authors:  Gennaro Boccia; Paolo Riccardo Brustio; Giampiero Buttacchio; Marzia Calabrese; Marco Bruzzone; Roberto Casale; Alberto Rainoldi
Journal:  Front Physiol       Date:  2018-11-28       Impact factor: 4.566

9.  Advancements in the Protocol for Rate of Force Development/Relaxation Scaling Factor Evaluation.

Authors:  Darjan Smajla; Jure Žitnik; Nejc Šarabon
Journal:  Front Hum Neurosci       Date:  2021-03-29       Impact factor: 3.169

Review 10.  Central and Peripheral Neuromuscular Adaptations to Ageing.

Authors:  Riccardo Borzuola; Arrigo Giombini; Guglielmo Torre; Stefano Campi; Erika Albo; Marco Bravi; Paolo Borrione; Chiara Fossati; Andrea Macaluso
Journal:  J Clin Med       Date:  2020-03-09       Impact factor: 4.241

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