Eric G James1, Suzanne G Leveille2, Jeffrey M Hausdorff3, Thomas Travison4, Sarah Cote5, Philip Conatser6, Murat Karabulut6, Andrea C Mendes5, David N Kennedy7, Katherine L Tucker8, Soham Al Snih9, Kyriakos S Markides10, Jonathan F Bean11. 1. a Department of Physical Medicine and Rehabilitation , University of Texas Southwestern Medical Center , Dallas , Texas , USA. 2. b College of Nursing Health Sciences , University of Massachusetts , Boston , Massachusetts , USA. 3. c Center for the Study of Movement, Cognition Mobility , Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel; Department of Physical Therapy, Sackler Faculty of Medicine, Tel Aviv University , Tel Aviv, Israel. 4. d Institute for Aging Research , Hebrew Senior Life , Boston , Massachusetts , USA. 5. e Department of Physical Therapy , University of Massachusetts , Lowell , Massachusetts , USA. 6. f Department of Health Human Performance , University of Texas Rio Grande Valley , Brownsville , Texas , USA. 7. g Department of Psychiatry , University of Massachusetts Medical School , Worcester , Massachusetts , USA. 8. h Department of Clinical Laboratory Nutritional Sciences , University of Massachusetts , Lowell , Massachusetts , USA. 9. i Division of Rehabilitation Sciences , University of Texas Medical Branch , Galveston , Texas , USA. 10. j Sealy Center on Aging , University of Texas Medical Branch , Galveston , Texas , USA. 11. k Department of Physical Medicine Rehabilitation , Harvard Medical School , Boston , Massachusetts , USA.
Abstract
Background/Study Context: Mobility limitations affect more than 25% of adults aged 70 years or older. This study tested the hypothesis that impairments in ankle and shoulder coordination are associated with mobility limitations among older adults. METHODS: his study consisted of conducted a cross-sectional analysis from a sample of community-dwelling older adults (N = 130) aged ≥67 years. Motion capture equipment was used to collect kinematic data during rhythmic antiphase coordination of the right and left: (a) ankles moving in dorsi-plantarflexion; and (b) glenohumeral ("shoulder") moving in flexion-extension while paced by an auditory metronome. Coordination variability was measured as the standard deviation of the relative phase between right and left body segments. Mobility limitations were defined as a score of ≤9 on the Short Physical Performance Battery (SPPB). Odds ratios for mobility limitations as a function of coordination variability quartiles were determined using multivariable logistic regression. RESULTS: Adjusting for age, gender, body mass index, number of chronic conditions and Mini-Mental State Examination score, the odds ratios for mobility limitation (SPPB score ≤9) were 7.38 (95% confidence interval [CI]: 2.20-24.78) and 15.40 (95% CI: 4.31-55.07) for the 3rd and 4th (the poorest) ankle coordination quartiles, respectively, and 6.73 (95% CI: 2.11-21.51) for the 4th shoulder coordination quartile, compared with the best (the 1st) coordination quartiles. CONCLUSION: The results supported the hypothesis that impaired interlimb ankle and shoulder coordination are associated with the manifestation of mobility limitations. These findings indicate the need for further study of the role of coordination impairments as potential contributors to poor mobility among older adults.
Background/Study Context: Mobility limitations affect more than 25% of adults aged 70 years or older. This study tested the hypothesis that impairments in ankle and shoulder coordination are associated with mobility limitations among older adults. METHODS: his study consisted of conducted a cross-sectional analysis from a sample of community-dwelling older adults (N = 130) aged ≥67 years. Motion capture equipment was used to collect kinematic data during rhythmic antiphase coordination of the right and left: (a) ankles moving in dorsi-plantarflexion; and (b) glenohumeral ("shoulder") moving in flexion-extension while paced by an auditory metronome. Coordination variability was measured as the standard deviation of the relative phase between right and left body segments. Mobility limitations were defined as a score of ≤9 on the Short Physical Performance Battery (SPPB). Odds ratios for mobility limitations as a function of coordination variability quartiles were determined using multivariable logistic regression. RESULTS: Adjusting for age, gender, body mass index, number of chronic conditions and Mini-Mental State Examination score, the odds ratios for mobility limitation (SPPB score ≤9) were 7.38 (95% confidence interval [CI]: 2.20-24.78) and 15.40 (95% CI: 4.31-55.07) for the 3rd and 4th (the poorest) ankle coordination quartiles, respectively, and 6.73 (95% CI: 2.11-21.51) for the 4th shoulder coordination quartile, compared with the best (the 1st) coordination quartiles. CONCLUSION: The results supported the hypothesis that impaired interlimb ankle and shoulder coordination are associated with the manifestation of mobility limitations. These findings indicate the need for further study of the role of coordination impairments as potential contributors to poor mobility among older adults.
Authors: Eric G James; Jeffrey M Hausdorff; Suzanne G Leveille; Thomas Travison; Jonathan F Bean Journal: Neurosci Lett Date: 2020-05-24 Impact factor: 3.046
Authors: Eric J Roseen; Rachel E Ward; Julie J Keysor; Steven J Atlas; Suzanne G Leveille; Jonathan F Bean Journal: PM R Date: 2020-02-25 Impact factor: 2.218