Shoulder movement complexity in the aging shoulder: A cross‐sectional analysis and reliability assessment
Healthy individuals perform a task such as hitting the head of a nail with an infinite coordination spectrum. This motor redundancy is healthy and allows for learning through exploration and uniform load distribution across muscles. Assessing movement complexity within repetitive movement trajectori...
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Published in | Journal of orthopaedic research Vol. 39; no. 10; pp. 2217 - 2225 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
John Wiley and Sons Inc
01.10.2021
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Subjects | |
Online Access | Get full text |
ISSN | 0736-0266 1554-527X 1554-527X |
DOI | 10.1002/jor.24932 |
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Abstract | Healthy individuals perform a task such as hitting the head of a nail with an infinite coordination spectrum. This motor redundancy is healthy and allows for learning through exploration and uniform load distribution across muscles. Assessing movement complexity within repetitive movement trajectories may provide insight into the available motor redundancy during aging. We quantified complexity of repetitive arm elevation trajectories in the aging shoulder and assessed test–retest reliability of this quantification. In a cross‐sectional study using 3D‐electromagnetic tracking, 120 asymptomatic subjects, aged between 18 and 70 years performed repetitive abduction and forward/anteflexion movements. Movement complexity was calculated using the Approximate Entropy (ApEn‐value): [0,2], where lower values indicate reduced complexity. Thirty‐three participants performed the protocol twice, to determine reliability (intraclass correlation coefficient [ICC]). The association between age and ApEn was corrected for task characteristics (e.g., sample length) with multiple linear regression analysis. Reproducibility was determined using scatter plots and ICC's. Higher age was associated with lower ApEn‐values during abduction (unstandardized estimate: −0.003/year; 95% confidence interval: [−0.005; −0.002]; p < .001). ICC's revealed poor to good reliability depending on differences in sample length between repeated measurements. The results may imply more stereotype movement during abduction in the ageing shoulder, making this movement prone to the development of shoulder complaints. Future studies may investigate the pathophysiology and clinical course of shoulder complaints by assessment of movement complexity. To this end, the ApEn‐value calculated over repetitive movement trajectories may be used, although biasing factors such as sample length should be taken into account. |
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AbstractList | Healthy individuals perform a task such as hitting the head of a nail with an infinite coordination spectrum. This motor redundancy is healthy and allows for learning through exploration and uniform load distribution across muscles. Assessing movement complexity within repetitive movement trajectories may provide insight into the available motor redundancy during aging. We quantified complexity of repetitive arm elevation trajectories in the aging shoulder and assessed test-retest reliability of this quantification. In a cross-sectional study using 3D-electromagnetic tracking, 120 asymptomatic subjects, aged between 18 and 70 years performed repetitive abduction and forward/anteflexion movements. Movement complexity was calculated using the Approximate Entropy (ApEn-value): [0,2], where lower values indicate reduced complexity. Thirty-three participants performed the protocol twice, to determine reliability (intraclass correlation coefficient [ICC]). The association between age and ApEn was corrected for task characteristics (e.g., sample length) with multiple linear regression analysis. Reproducibility was determined using scatter plots and ICC's. Higher age was associated with lower ApEn-values during abduction (unstandardized estimate: -0.003/year; 95% confidence interval: [-0.005; -0.002]; p < .001). ICC's revealed poor to good reliability depending on differences in sample length between repeated measurements. The results may imply more stereotype movement during abduction in the ageing shoulder, making this movement prone to the development of shoulder complaints. Future studies may investigate the pathophysiology and clinical course of shoulder complaints by assessment of movement complexity. To this end, the ApEn-value calculated over repetitive movement trajectories may be used, although biasing factors such as sample length should be taken into account. Healthy individuals perform a task such as hitting the head of a nail with an infinite coordination spectrum. This motor redundancy is healthy and allows for learning through exploration and uniform load distribution across muscles. Assessing movement complexity within repetitive movement trajectories may provide insight into the available motor redundancy during aging. We quantified complexity of repetitive arm elevation trajectories in the aging shoulder and assessed test–retest reliability of this quantification. In a cross‐sectional study using 3D‐electromagnetic tracking, 120 asymptomatic subjects, aged between 18 and 70 years performed repetitive abduction and forward/anteflexion movements. Movement complexity was calculated using the Approximate Entropy (ApEn‐value): [0,2], where lower values indicate reduced complexity. Thirty‐three participants performed the protocol twice, to determine reliability (intraclass correlation coefficient [ICC]). The association between age and ApEn was corrected for task characteristics (e.g., sample length) with multiple linear regression analysis. Reproducibility was determined using scatter plots and ICC's. Higher age was associated with lower ApEn‐values during abduction (unstandardized estimate: −0.003/year; 95% confidence interval: [−0.005; −0.002]; p < .001). ICC's revealed poor to good reliability depending on differences in sample length between repeated measurements. The results may imply more stereotype movement during abduction in the ageing shoulder, making this movement prone to the development of shoulder complaints. Future studies may investigate the pathophysiology and clinical course of shoulder complaints by assessment of movement complexity. To this end, the ApEn‐value calculated over repetitive movement trajectories may be used, although biasing factors such as sample length should be taken into account. Healthy individuals perform a task such as hitting the head of a nail with an infinite coordination spectrum. This motor redundancy is healthy and allows for learning through exploration and uniform load distribution across muscles. Assessing movement complexity within repetitive movement trajectories may provide insight into the available motor redundancy during aging. We quantified complexity of repetitive arm elevation trajectories in the aging shoulder and assessed test–retest reliability of this quantification. In a cross‐sectional study using 3D‐electromagnetic tracking, 120 asymptomatic subjects, aged between 18 and 70 years performed repetitive abduction and forward/anteflexion movements. Movement complexity was calculated using the Approximate Entropy (ApEn‐value): [0,2], where lower values indicate reduced complexity. Thirty‐three participants performed the protocol twice, to determine reliability (intraclass correlation coefficient [ICC]). The association between age and ApEn was corrected for task characteristics (e.g., sample length) with multiple linear regression analysis. Reproducibility was determined using scatter plots and ICC's. Higher age was associated with lower ApEn‐values during abduction (unstandardized estimate: −0.003/year; 95% confidence interval: [−0.005; −0.002]; p < .001). ICC's revealed poor to good reliability depending on differences in sample length between repeated measurements. The results may imply more stereotype movement during abduction in the ageing shoulder, making this movement prone to the development of shoulder complaints. Future studies may investigate the pathophysiology and clinical course of shoulder complaints by assessment of movement complexity. To this end, the ApEn‐value calculated over repetitive movement trajectories may be used, although biasing factors such as sample length should be taken into account. Healthy individuals perform a task such as hitting the head of a nail with an infinite coordination spectrum. This motor redundancy is healthy and allows for learning through exploration and uniform load distribution across muscles. Assessing movement complexity within repetitive movement trajectories may provide insight into the available motor redundancy during aging. We quantified complexity of repetitive arm elevation trajectories in the aging shoulder and assessed test-retest reliability of this quantification. In a cross-sectional study using 3D-electromagnetic tracking, 120 asymptomatic subjects, aged between 18 and 70 years performed repetitive abduction and forward/anteflexion movements. Movement complexity was calculated using the Approximate Entropy (ApEn-value): [0,2], where lower values indicate reduced complexity. Thirty-three participants performed the protocol twice, to determine reliability (intraclass correlation coefficient [ICC]). The association between age and ApEn was corrected for task characteristics (e.g., sample length) with multiple linear regression analysis. Reproducibility was determined using scatter plots and ICC's. Higher age was associated with lower ApEn-values during abduction (unstandardized estimate: -0.003/year; 95% confidence interval: [-0.005; -0.002]; p < .001). ICC's revealed poor to good reliability depending on differences in sample length between repeated measurements. The results may imply more stereotype movement during abduction in the ageing shoulder, making this movement prone to the development of shoulder complaints. Future studies may investigate the pathophysiology and clinical course of shoulder complaints by assessment of movement complexity. To this end, the ApEn-value calculated over repetitive movement trajectories may be used, although biasing factors such as sample length should be taken into account.Healthy individuals perform a task such as hitting the head of a nail with an infinite coordination spectrum. This motor redundancy is healthy and allows for learning through exploration and uniform load distribution across muscles. Assessing movement complexity within repetitive movement trajectories may provide insight into the available motor redundancy during aging. We quantified complexity of repetitive arm elevation trajectories in the aging shoulder and assessed test-retest reliability of this quantification. In a cross-sectional study using 3D-electromagnetic tracking, 120 asymptomatic subjects, aged between 18 and 70 years performed repetitive abduction and forward/anteflexion movements. Movement complexity was calculated using the Approximate Entropy (ApEn-value): [0,2], where lower values indicate reduced complexity. Thirty-three participants performed the protocol twice, to determine reliability (intraclass correlation coefficient [ICC]). The association between age and ApEn was corrected for task characteristics (e.g., sample length) with multiple linear regression analysis. Reproducibility was determined using scatter plots and ICC's. Higher age was associated with lower ApEn-values during abduction (unstandardized estimate: -0.003/year; 95% confidence interval: [-0.005; -0.002]; p < .001). ICC's revealed poor to good reliability depending on differences in sample length between repeated measurements. The results may imply more stereotype movement during abduction in the ageing shoulder, making this movement prone to the development of shoulder complaints. Future studies may investigate the pathophysiology and clinical course of shoulder complaints by assessment of movement complexity. To this end, the ApEn-value calculated over repetitive movement trajectories may be used, although biasing factors such as sample length should be taken into account. |
Author | Klop, Ilse Nelissen, Rob G. H. H. Groot, Jurriaan H. Overbeek, Celeste L. Groot, Fleur A. Geurkink, Timon H. Nagels, Jochem |
AuthorAffiliation | 2 Laboratory for Kinematics and Neuromechanics, Department of Orthopaedics and Rehabilitation Leiden University Medical Center Leiden The Netherlands 1 Department of Orthopaedics Leiden University Medical Center Leiden The Netherlands |
AuthorAffiliation_xml | – name: 2 Laboratory for Kinematics and Neuromechanics, Department of Orthopaedics and Rehabilitation Leiden University Medical Center Leiden The Netherlands – name: 1 Department of Orthopaedics Leiden University Medical Center Leiden The Netherlands |
Author_xml | – sequence: 1 givenname: Celeste L. orcidid: 0000-0003-3183-5329 surname: Overbeek fullname: Overbeek, Celeste L. email: c.l.overbeek@lumc.nl organization: Leiden University Medical Center – sequence: 2 givenname: Timon H. surname: Geurkink fullname: Geurkink, Timon H. organization: Leiden University Medical Center – sequence: 3 givenname: Fleur A. surname: Groot fullname: Groot, Fleur A. organization: Leiden University Medical Center – sequence: 4 givenname: Ilse surname: Klop fullname: Klop, Ilse organization: Leiden University Medical Center – sequence: 5 givenname: Jochem surname: Nagels fullname: Nagels, Jochem organization: Leiden University Medical Center – sequence: 6 givenname: Rob G. H. H. surname: Nelissen fullname: Nelissen, Rob G. H. H. organization: Leiden University Medical Center – sequence: 7 givenname: Jurriaan H. surname: Groot fullname: Groot, Jurriaan H. organization: Leiden University Medical Center |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33251589$$D View this record in MEDLINE/PubMed |
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Keywords | aging approximate entropy motor control physiotherapy shoulder pathology reliability |
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SubjectTerms | Adolescent Adult Aged Aging approximate entropy Biomechanical Phenomena - physiology Cross-Sectional Studies Humans Middle Aged motor control Movement physiotherapy Range of Motion, Articular - physiology reliability Reproducibility of Results Shoulder shoulder pathology Young Adult |
Title | Shoulder movement complexity in the aging shoulder: A cross‐sectional analysis and reliability assessment |
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