scholarly journals Accuracy and diversity of wearable device-based gait speed measurement among older adults: Observational study (Preprint)

2021 ◽  
Author(s):  
Min-Gu Kang ◽  
Seong-Ji Kang ◽  
Hye-Kang Roh ◽  
Hwa-Young Jung ◽  
Sun‑wook Kim ◽  
...  

UNSTRUCTURED Gait speed measurement is used widely as a slow gait is a major feature of frailty and a diagnostic criterion for sarcopenia. With the development of wearable devices, it is possible to obtain daily life gait speed simply by wearing the device. Therefore, it is feasible and worthwhile to accurately determine the characteristics of daily-life gait speed and analyze their association with sarcopenia. We invited community-dwelling men over 50 years of age who had visited outpatient clinic at a tertiary university hospital. Daily life gait speed was assessed using a smart belt (WELT) the participants wore for a period of 4 weeks. Data from participants who wore the smart belt for at least 10 days during this period were included. After 4 weeks, data from a survey about medical and social history, “usual gait speed” measurements, handgrip strength measurements, and dual energy X-ray absorptiometry were analyzed. A total of 217,578 daily life gait speed data from 106 participants (mean age, 71.1 ± 7.6 years) were analyzed. The mean daily life gait speed was 1.23 ± 0.26 m/s. The daily life gait speed of the participants varied by time and day of the week. Daily life gait speed was significantly lower in older individuals (P<0.001). Participants with sarcopenia (1.12 ± 0.11 m/s) had significantly lower mean daily life gait speed than participants who did not have sarcopenia (1.23 ± 0.08 m/s; P<0.001). Analysis of factors related to mean daily life gait speed showed that age and skeletal muscle mass of the lower limbs were significantly associated characteristics. In conclusion, more diverse and accurate information about gait speed can be obtained by measuring daily life gait speed using a wearable device over an appropriate time period, compared to one-time measurements performed in a laboratory setting. Importantly, daily life gait speed is significantly associated with skeletal muscle mass of the lower limbs, in addition to age.

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S885-S886
Author(s):  
Min-gu Kang ◽  
Kwang-il Kim ◽  
Joon Koo Kang ◽  
Seong-Ji Kang ◽  
Hye-Kang Roh ◽  
...  

Abstract As slow gait speed is a major feature of frailty and a diagnostic criterion of sarcopenia, gait speed measurement is widely used. Nowadays, with development of wearable devices, it is possible to measure daily-life gait speed without additional effort just by wearing the device. It is meaningful to measure daily-life gait speed and to analyze the association between the speed and sarcopenia. Participants were men over 50 years of age who visited the university hospital. Daily-life gait speed was checked using a smart belt (WELT) for 4 weeks. Afterwards, a survey about past medical history, usual gait speed measurement, handgrip strength measurement, and dual energy X-ray absorptiometry were performed. A total of 217,548 daily-life gait speed measurement data were analyzed for 106 participants. The mean daily-life gait speed was 1.23 ± 0.26 m/s. The mean age was 71.1 ± 7.6, and daily-life gait speed was significantly slower as people get older. (P&lt;0.001) Additionally, weekday gait speed (1.23 ± 0.26 m/s) was significantly faster than weekend gait speed (1.22 ± 0.26 m/s). (P&lt;0.001) Participants with sarcopenia (1.15 ± 0.25 m/s) had significantly slower mean daily-life gait speed than normal subjects (1.23 ± 0.26 m/s). (P&lt;0.001) In analyzing factors related to gait speed, age and skeletal muscle mass of lower limbs were significantly associated with mean daily-life gait speed. Additional information about the gait speed can be obtained by measuring daily-life gait speed, and the daily-life gait speed has a significant association with the skeletal muscle mass of lower limbs.


2018 ◽  
Vol 74 (9) ◽  
pp. 1446-1453 ◽  
Author(s):  
Yasuharu Tabara ◽  
Tome Ikezoe ◽  
Mikihiro Yamanaka ◽  
Kazuya Setoh ◽  
Hiroaki Segawa ◽  
...  

Abstract Background The accumulation of advanced glycation end product (AGE) might exert deleterious effects on musculoskeletal properties. Our study aims to clarify this possible association in a large general population. Methods This study investigated a general population of 9,203 patients (mean age, 57.8 years). Skeletal muscle mass was measured by bioelectrical impedance analysis, whereas accumulation of AGEs was assessed by skin autofluorescence (SAF-AGE). The muscle strength of upper and lower limbs and usual gait speed were measured in a portion of older (≥60 years of age) participants (n = 1,934). The speed of sound (SOS) in the calcaneal bone was assessed via a quantitative ultrasound technique. Results In the total population, the frequency of low skeletal muscle mass linearly increased with the SAF-AGE quartiles (Q1: 14.2%, Q2: 16.1%, Q3: 21.1%, Q4: 24.8%; p < .001), and this association was independent of covariates including glycemic traits (Q4: odds ratio [OR] = 1.48, p < .001). The association between the highest SAF-AGE quartile and low skeletal muscle mass remained significant in the older subpopulation (OR = 1.85, p = .002). A similar but weak association was observed for low SOS (Q1: 8.9%, Q2: 8.3%, Q3: 10.4%, Q4: 12.2%; p < .001). Similar inverse associations were also observed with grip strength (OR = 1.98, p = .003), hip flexion strength (OR = 1.50, p = .012), and hip abduction strength (OR = 1.78, p = .001), but not with usual gait speed. Conclusion Accumulation of AGEs might be a deleterious factor for musculoskeletal properties.


2021 ◽  
Vol 13 (1) ◽  
pp. 37-44
Author(s):  
ZBIGNIEW M. OSSOWSKI

Background: The loss of muscle function and reduced mobility levels are the main reasons for the limitations of independence and disability in older people. The main aim of this study was to determine the relationship between the skeletal muscle index and mobility in older women. Material and methods: ‪The study involved 166 older women. Skeletal muscle mass and other body components were determined by bioimpedance using an InBody 720 device. Functional mobility was evaluated with the timed up-and-go test. 30-second chair stand was also used to measure the level of functional strength in lower extremities. Results: ‪The skeletal muscle index was positively correlated with functional mobility (r=-0.22; p=0.00) and 30-second chair stand (r=-0.47; p=0.00). However, the strength of lower extremities was a significantly better parameter in predicting mobility in older women than the skeletal muscle index and skeletal muscle mass. Conclusions: The functional strength of lower extremity muscles and the skeletal muscle index can have a positive effect on functional mobility in older people. The results may be helpful in clinical practice when diagnosing mobility limitations and in the process of programming physical activity of older women aimed at the prevention of sarcopenia.


2013 ◽  
Vol 14 (5) ◽  
pp. 352-357 ◽  
Author(s):  
Isabelle Amigues ◽  
Anne-Marie Schott ◽  
Mohamed Amine ◽  
Bénedicte Gelas-Dore ◽  
Kalaivani Veerabudun ◽  
...  

PLoS ONE ◽  
2016 ◽  
Vol 11 (11) ◽  
pp. e0166385 ◽  
Author(s):  
Sang Yoon Lee ◽  
Hee Joon Ro ◽  
Sun G. Chung ◽  
Si Hyun Kang ◽  
Kyung Mook Seo ◽  
...  

2020 ◽  
Vol 28 (6) ◽  
pp. 943-951
Author(s):  
Chiharu Iwasaka ◽  
Tsubasa Mitsutake ◽  
Etsuo Horikawa

Objectives: To investigate the relationship between leg skeletal muscle mass asymmetry and usual gait speed in older adults. Methods: The subjects were 139 community-dwelling older adults. The asymmetry index was calculated using the leg skeletal muscle mass index (LSMI) values of both legs. The subjects were divided into “large” and “small” asymmetry groups based on the asymmetry index. The relationship between asymmetry and gait speed was analyzed using a linear regression model. The appendicular skeletal muscle mass index and LSMI were included as adjustment variables in the analysis. Results: The asymmetry index and having a “large” asymmetry were independently related to gait speed, even after adjusting for covariates such as appendicular skeletal muscle mass index and LSMI. Discussion: Leg skeletal muscle mass asymmetry was related to gait speed independently of the appendicular skeletal muscle mass index and LSMI values. A skeletal muscle mass evaluation among older adults should include an assessment of the total skeletal muscle mass and its asymmetry.


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