Literature DB >> 18308877

Effects of an automated stride assistance system on walking parameters and muscular glucose metabolism in elderly adults.

H Shimada1, T Suzuki, Y Kimura, T Hirata, M Sugiura, Y Endo, K Yasuhara, K Shimada, K Kikuchi, K Oda, K Ishii, K Ishiwata.   

Abstract

OBJECTIVE: To identify the effects of an automated stride assistance system (SAS) on walking scores and muscle activities in the lower extremities of elderly people.
METHODS: Seven healthy elderly men (73-81 years) participated in this study. Subjects walked continuously at a constant speed for 50 min on a treadmill with and without the SAS, which is a device to control the walk ratio (step length/cadence) and to add support power to the thigh during walking. A step counter equipped with an infrared device was used to record walking data. The average speeds during treadmill walking were 2.89-3.82 km/h without the SAS and 3.03-4.03 km/h with the SAS. Positron emission tomography (PET) and [18F]fluorodeoxyglucose (FDG) evaluation of glucose metabolism were conducted on each subject twice after walking with and without the SAS.
RESULTS: Walk ratio, walking speed and step length were significantly improved in all subjects by the SAS, while cadence was significantly decreased by the SAS in all subjects except one. The SAS did not have a significant effect on glucose metabolism of the muscles of the lower extremities. There were no significant correlations between change in walking speed and change in glucose metabolism in each muscle without the SAS and with the SAS. In contrast, significant correlations between walking speed and glucose metabolism were shown in gluteus minimus (r = -0.929), hip-related muscles (r = -0.862), soleus (r = -0.907), and medial gastrocnemius (r = -0.952) without the SAS. With the SAS, there were significant correlations in gluteus medius (r = -0.899), hip-related muscles (r = -0.819), and medial gastrocnemius (r = -0.817) in the elderly subjects.
CONCLUSIONS: The SAS increases walking scores in elderly people without increasing energy consumption of lower-extremity muscles. The elderly subjects with low walking speed showed higher glucose metabolism in hip-related muscles and triceps surae. Thus, this association suggested that decreased walking speed in elderly adults has a higher metabolic cost in these muscle regions.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18308877     DOI: 10.1136/bjsm.2007.039453

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  6 in total

1.  Regional Variation in Skeletal Muscle and Adipose Tissue FDG Uptake Using PET/CT and Their Relation to BMI.

Authors:  Marcus D Goncalves; Judith Green-McKenzie; Abass Alavi; Drew A Torigian
Journal:  Acad Radiol       Date:  2017-05-24       Impact factor: 3.173

2.  Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults.

Authors:  Su-Hyun Lee; Hwang-Jae Lee; Won Hyuk Chang; Byung-Ok Choi; Jusuk Lee; Jeonghun Kim; Gyu-Ha Ryu; Yun-Hee Kim
Journal:  J Neuroeng Rehabil       Date:  2017-11-28       Impact factor: 4.262

3.  Automated stride assistance device improved the gait parameters and energy cost during walking of healthy middle-aged females but not those of young controls.

Authors:  Risa Otsuki; Hiromi Matsumoto; Masaru Ueki; Kazutake Uehara; Nobuko Nozawa; Mari Osaki; Hiroshi Hagino
Journal:  J Phys Ther Sci       Date:  2016-12-27

4.  A wearable hip-assist robot reduces the cardiopulmonary metabolic energy expenditure during stair ascent in elderly adults: a pilot cross-sectional study.

Authors:  Dong-Seok Kim; Hwang-Jae Lee; Su-Hyun Lee; Won Hyuk Chang; Junwon Jang; Byung-Ok Choi; Gyu-Ha Ryu; Yun-Hee Kim
Journal:  BMC Geriatr       Date:  2018-09-29       Impact factor: 3.921

5.  Effects of a wearable exoskeleton stride management assist system (SMA®) on spatiotemporal gait characteristics in individuals after stroke: a randomized controlled trial.

Authors:  Carolyn Buesing; Gabriela Fisch; Megan O'Donnell; Ida Shahidi; Lauren Thomas; Chaithanya K Mummidisetty; Kenton J Williams; Hideaki Takahashi; William Zev Rymer; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2015-08-20       Impact factor: 4.262

6.  Influence of a Soft Robotic Suit on Metabolic Cost in Long-Distance Level and Inclined Walking.

Authors:  Shanhai Jin; Shijie Guo; Hashimoto Kazunobu; Xiaogang Xiong; Motoji Yamamoto
Journal:  Appl Bionics Biomech       Date:  2018-07-05       Impact factor: 1.781

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.