Relationship between Body Composition and Gait Characteristics in Patients with Cerebral Small Vessel Disease
- Authors: Xie H.1, Xia Z.1, Xia C.1, Zhang N.1, Ding Y.1, Zhao H.2, Huang Y.1
-
Affiliations:
- Department of Neurology, The Seven Medical Center of PLA General Hospital
- Department of Neurology,, The Seven Medical Center of PLA General Hospital
- Issue: Vol 21, No 2 (2024)
- Pages: 205-213
- Section: Medicine
- URL: https://ruspoj.com/1567-2026/article/view/644367
- DOI: https://doi.org/10.2174/0115672026307602240321081657
- ID: 644367
Cite item
Full Text
Abstract
Background:This study aims to explore the correlation between body composition, encompassing factors such as muscle mass and fat distribution, and gait performance during both single-task walking (STW) and dual-task walking (DTW) in patients diagnosed with cerebral small vessel disease (CSVD).
Methods:The data of hospitalized patients diagnosed with CSVD, including cadence, stride time, velocity and stride length, as well as information on variability, asymmetry and coordination during both STW and DTW, were assessed. The number of falls reported by each participant was also assessed.
Results:A total of 95 CSVD patients were assessed, and the results showed that individuals with low appendicular skeletal muscle mass (ASM), which includes both the low ASM group and the combination of low ASM and high body fat (BF) group, had reduced velocity or cadence, shortened stride length, and prolonged stride time across all walking modalities compared to the control group. Only the combination of the low ASM and high BF group exhibited a deterioration in the coefficient of variation (CV) for all basic parameters and the Phase Coordination Index (PCI) compared to the control group across all walking patterns. Conversely, patients in the high BF group displayed a decline in basic parameters, primarily during cognitive DTW. Concurrently, the high BF group showed a significant increase in the CV and the PCI compared to the control group only during cognitive DTW. Furthermore, regardless of gender, both ASM and BF independently correlated with the occurrence of falls.
Conclusions:CSVD patients with varying body compositions could allocate different levels of attention to their daily walking routines.
About the authors
Hongyang Xie
Department of Neurology, The Seven Medical Center of PLA General Hospital
Email: info@benthamscience.net
Zhenxi Xia
Department of Neurology, The Seven Medical Center of PLA General Hospital
Email: info@benthamscience.net
Cuiqiao Xia
Department of Neurology, The Seven Medical Center of PLA General Hospital
Email: info@benthamscience.net
Nan Zhang
Department of Neurology, The Seven Medical Center of PLA General Hospital
Email: info@benthamscience.net
Yu Ding
Department of Neurology, The Seven Medical Center of PLA General Hospital
Email: info@benthamscience.net
Hongyi Zhao
Department of Neurology,, The Seven Medical Center of PLA General Hospital
Email: info@benthamscience.net
Yonghua Huang
Department of Neurology, The Seven Medical Center of PLA General Hospital
Author for correspondence.
Email: info@benthamscience.net
References
- Mitchell E, Walker R. Global ageing: Successes, challenges and opportunities. Br J Hosp Med 2020; 81(2): 1-9. doi: 10.12968/hmed.2019.0377 PMID: 32097073
- JudgeRoy JO, Davis B III, Ounpuu S. Step length reductions in advanced age: The role of ankle and hip kinetics. J Gerontol A Biol Sci Med Sci 1996; 51A(6): M303-12. doi: 10.1093/gerona/51A.6.M303 PMID: 8914503
- Ben Chaabane N, Conze PH, Lempereur M, et al. Quantitative gait analysis and prediction using artificial intelligence for patients with gait disorders. Sci Rep 2023; 13(1): 23099. doi: 10.1038/s41598-023-49883-8 PMID: 38155189
- Toebes MJP, Hoozemans MJM, Furrer R, Dekker J, van Dieën JH. Local dynamic stability and variability of gait are associated with fall history in elderly subjects. Gait Posture 2012; 36(3): 527-31. doi: 10.1016/j.gaitpost.2012.05.016 PMID: 22748312
- Ganz DA, Latham NK. Prevention of falls in community-dwelling older adults. N Engl J Med 2020; 382(8): 734-43. doi: 10.1056/NEJMcp1903252 PMID: 32074420
- García-de-Villa S, Neira GGV, Álvarez MN, et al. A database with frailty, functional and inertial gait metrics for the research of fall causes in older adults. Sci Data 2023; 10(1): 566. doi: 10.1038/s41597-023-02428-0 PMID: 37626053
- Huysmans SMD, Senden R, Jacobs E, et al. Gait alterations in patients with adult spinal deformity. N Am Spine Soc J 2024; 17: 100306. doi: 10.1016/j.xnsj.2023.100306 PMID: 38293567
- Hennah C, Doumas M. Dual-task walking on real-world surfaces: Adaptive changes in walking speed, step width and step height in young and older adults. Exp Gerontol 2023; 177: 112200. doi: 10.1016/j.exger.2023.112200 PMID: 37160198
- Xia C, Xie H, Li T, Ding Y, Zhào H, Huang Y. Spatiotemporal gait characteristics during single- and dual-task walking are associated with the burden of cerebral small vessel disease. Front Neurol 2023; 14: 1285947. doi: 10.3389/fneur.2023.1285947 PMID: 38020659
- Clark DJ. Automaticity of walking: Functional significance, mechanisms, measurement and rehabilitation strategies. Front Hum Neurosci 2015; 9: 246. doi: 10.3389/fnhum.2015.00246 PMID: 25999838
- Wardlaw JM, Smith EE, Biessels GJ, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol 2013; 12(8): 822-38. doi: 10.1016/S1474-4422(13)70124-8 PMID: 23867200
- Hilal S, Mok V, Youn YC, Wong A, Ikram MK, Chen CLH. Prevalence, risk factors and consequences of cerebral small vessel diseases: data from three Asian countries. J Neurol Neurosurg Psychiatry 2017; 88(8): 669-74. doi: 10.1136/jnnp-2016-315324 PMID: 28600443
- Wardlaw JM, Debette S, Jokinen H, De Leeuw FE, Pantoni L, Chabriat H. ESO Guideline on covert cerebral small vessel disease. Eur Stroke J 2021; 6(2): CXI-CLXII.
- Boyer KA, Hayes KL, Umberger BR, et al. Age-related changes in gait biomechanics and their impact on the metabolic cost of walking: Report from a national institute on aging workshop. Exp Gerontol 2023; 173: 112102. doi: 10.1016/j.exger.2023.112102 PMID: 36693530
- Paranhos Amorim DN, Nascimento DC, Stone W, Alves VP, Coelho Vilaça e Silva KH. Body composition and functional performance of older adults. Osteoporos Sarcopenia 2022; 8(2): 86-91. doi: 10.1016/j.afos.2022.04.002 PMID: 35832415
- JafariNasabian P, Inglis JE, Reilly W, Kelly OJ, Ilich JZ. Aging human body: Changes in bone, muscle and body fat with consequent changes in nutrient intake. J Endocrinol 2017; 234(1): R37-51. doi: 10.1530/JOE-16-0603 PMID: 28442508
- Oh YH, Choi S, Lee G, Son JS, Kim KH, Park SM. Changes in body composition are associated with metabolic changes and the risk of metabolic syndrome. J Clin Med 2021; 10(4): 745. doi: 10.3390/jcm10040745 PMID: 33668451
- LaRoche DP, Kralian RJ, Millett ED. Fat mass limits lower-extremity relative strength and maximal walking performance in older women. J Electromyogr Kinesiol 2011; 21(5): 754-61. doi: 10.1016/j.jelekin.2011.07.006 PMID: 21824789
- Muehlbauer T, Granacher U, Borde R, Hortobágyi T. Non-discriminant relationships between leg muscle strength, mass and gait performance in healthy young and old adults. Gerontology 2018; 64(1): 11-8. doi: 10.1159/000480150 PMID: 28918423
- Bani Hassan E, Phu S, Vogrin S, et al. Diagnostic value of mid-thigh and mid-calf bone, muscle, and fat mass in osteosarcopenia: A pilot study. Calcif Tissue Int 2019; 105(4): 392-402. doi: 10.1007/s00223-019-00582-5 PMID: 31292687
- Chojdak-Łukasiewicz J, Dziadkowiak E, Zimny A, Paradowski B. Cerebral small vessel disease: A review. Adv Clin Exp Med 2021; 30(3): 349-56. doi: 10.17219/acem/131216 PMID: 33768739
- Zhang Y, Chang P, Liu N, et al. Correlation between lenticulostriate arteries and white matter microstructure changes in patients with cerebral small vessel disease. Front Neurosci 2023; 17: 1202538. doi: 10.3389/fnins.2023.1202538 PMID: 37817799
- Zhào H, Wei W, Liu Y, Gao J, Huang Y. Cognitive frailty among elderly chinese patients with cerebral small vessel disease: A structural MRI study. Front Med 2020; 7: 397. doi: 10.3389/fmed.2020.00397 PMID: 33015078
- Plotnik M, Giladi N, Hausdorff JM. A new measure for quantifying the bilateral coordination of human gait: Effects of aging and Parkinsons disease. Exp Brain Res 2007; 181(4): 561-70. doi: 10.1007/s00221-007-0955-7 PMID: 17503027
- Swanson CW, Fling BW. Associations between gait coordination, variability and motor cortex inhibition in young and older adults. Exp Gerontol 2018; 113: 163-72. doi: 10.1016/j.exger.2018.10.002 PMID: 30296454
- Richmond SB, Swanson CW, Peterson DS, Fling BW. A temporal analysis of bilateral gait coordination in people with multiple sclerosis. Mult Scler Relat Disord 2020; 45: 102445. doi: 10.1016/j.msard.2020.102445 PMID: 32791490
- Han SH, Kim CO, Kim KJ, et al. Quantitative analysis of the bilateral coordination and gait asymmetry using inertial measurement unit-based gait analysis. PLoS One 2019; 14(10): e0222913. doi: 10.1371/journal.pone.0222913 PMID: 31574130
- Kalron A. Gait variability across the disability spectrum in people with multiple sclerosis. J Neurol Sci 2016; 361: 1-6. doi: 10.1016/j.jns.2015.12.012 PMID: 26810506
- Ling CHY, de Craen AJM, Slagboom PE, et al. Accuracy of direct segmental multi-frequency bioimpedance analysis in the assessment of total body and segmental body composition in middle-aged adult population. Clin Nutr 2011; 30(5): 610-5. doi: 10.1016/j.clnu.2011.04.001 PMID: 21555168
- Chen F, Wu L, Chen Y, et al. A comparison of bioelectrical impedance analysis and air displacement plethysmography to assess body composition in children. Front Public Health 2023; 11: 1164556. doi: 10.3389/fpubh.2023.1164556 PMID: 37469700
- Kim MK, Han K, Kwon HS, et al. Normal weight obesity in K orean adults. Clin Endocrinol 2014; 80(2): 214-20. doi: 10.1111/cen.12162 PMID: 23362933
- Kim DH, Lim H, Chang S, Kim JN, Roh YK, Choi MK. Association between body fat and bone mineral density in normal-weight middle-aged koreans. Korean J Fam Med 2019; 40(2): 100-5. doi: 10.4082/kjfm.17.0082 PMID: 30441887
- Baumgartner RN, Koehler KM, Gallagher D, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 1998; 147(8): 755-63. doi: 10.1093/oxfordjournals.aje.a009520 PMID: 9554417
- Cruz-Jentoft AJ, Baeyens JP, Bauer JM, et al. Sarcopenia: European consensus on definition and diagnosis. Age Ageing 2010; 39(4): 412-23. doi: 10.1093/ageing/afq034 PMID: 20392703
- Chen LK, Woo J, Assantachai P, et al. Asian working group for sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. J Am Med Dir Assoc 2020; 21(3): 300-7. doi: 10.1016/j.jamda.2019.12.012 PMID: 32033882
- Zhou Z, Huang Y, Wang J, Su H, Tang H, Wang Y. A novel digital biomarker of sarcopenia in frail elderly: New combination of gait parameters under dual-task walking. Front Aging Neurosci 2023; 15: 1087318. doi: 10.3389/fnagi.2023.1087318 PMID: 36891555
- Kim B, Youm C, Park H, Lee M, Choi H. Association of muscle mass, muscle strength, and muscle function with gait ability assessed using inertial measurement unit sensors in older women. Int J Environ Res Public Health 2022; 19(16): 9901. doi: 10.3390/ijerph19169901 PMID: 36011529
- Beurskens R, Muehlbauer T, Granacher U. Association of dual-task walking performance and leg muscle quality in healthy children. BMC Pediatr 2015; 15(1): 2. doi: 10.1186/s12887-015-0317-8 PMID: 25652949
- Wardlaw JM, Smith C, Dichgans M. Small vessel disease: Mechanisms and clinical implications. Lancet Neurol 2019; 18(7): 684-96. doi: 10.1016/S1474-4422(19)30079-1 PMID: 31097385
- Finsterwalder S, Wuehr M, Gesierich B, et al. Minor gait impairment despite white matter damage in pure small vessel disease. Ann Clin Transl Neurol 2019; 6(10): 2026-36. doi: 10.1002/acn3.50891 PMID: 31524338
- Lim J, Kim J, Seo K, van Emmerik REA, Lee S. The effects of mobile texting and walking speed on gait characteristics of normal weight and obese adults. Mot Contr 2020; 24(4): 588-604. doi: 10.1123/mc.2020-0006 PMID: 32916659
- Shaik AR, Al Qahtani M, Ahmad F, et al. Impacts of adiposity on the attentional cost of sensory-motor performance associated with mobility in a dual-task paradigm. Int J Environ Res Public Health 2022; 19(20): 13118. doi: 10.3390/ijerph192013118 PMID: 36293706
- Yang Y, Shields GS, Guo C, Liu Y. Executive function performance in obesity and overweight individuals: A meta-analysis and review. Neurosci Biobehav Rev 2018; 84: 225-44. doi: 10.1016/j.neubiorev.2017.11.020 PMID: 29203421
- Visser M, Goodpaster BH, Kritchevsky SB, et al. Muscle mass, muscle strength, and muscle fat infiltration as predictors of incident mobility limitations in well-functioning older persons. J Gerontol A Biol Sci Med Sci 2005; 60(3): 324-33. doi: 10.1093/gerona/60.3.324 PMID: 15860469
- Beavers KM, Beavers DP, Houston DK, et al. Associations between body composition and gait-speed decline: Results from the health, aging, and body composition study. Am J Clin Nutr 2013; 97(3): 552-60. doi: 10.3945/ajcn.112.047860 PMID: 23364001
- Merchant RA, Chan YH, Ling N, Denishkrshna A, Lim Z, Waters D. Association of physical function and body composition with falls in pre-frail older adults with poor physical performance: A cross-sectional study. Arch Gerontol Geriatr 2023; 109: 104957. doi: 10.1016/j.archger.2023.104957 PMID: 36780754
- G R Neri S, Tiedemann A, B Gadelha A, M Lima R. Body fat distribution in obesity and the association with falls: A cohort study of Brazilian women aged 60 years and over. Maturitas 2020; 139: 64-8. doi: 10.1016/j.maturitas.2020.06.009 PMID: 32747043
Supplementary files
