Advanced Glycation End Product Accumulation Is Associated With Low Skeletal Muscle Mass, Weak Muscle Strength, and Reduced Bone Density: The Nagahama Study

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.

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.


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.


2021 ◽  
Vol 11 (7) ◽  
pp. 3146
Author(s):  
Dongmin Lee ◽  
Kyengho Byun ◽  
Moon-Hyon Hwang ◽  
Sewon Lee

Arterial stiffness is associated with an increased risk of cardiovascular disease. Previous studies have shown that there is a negative correlation between arterial stiffness and variables such as skeletal muscle mass, muscular strength, and anaerobic power in older individuals. However, little research has been undertaken on relationships in healthy young adults. This study presents a preliminary research that investigates the association between arterial stiffness and muscular factors in healthy male college students. Twenty-three healthy young males (23.9 ± 0.5 years) participated in the study. The participants visited the laboratory, and variables including body composition, blood pressure, arterial stiffness, blood parameters, grip strength, and anaerobic power were measured. Measurements of augmentation index (AIx) and brachial-ankle pulse wave velocity (baPWV) were performed to determine arterial stiffness. There were significant positive correlations among skeletal muscle mass, muscle strength, and anaerobic power in healthy young adult males. AIx was negatively associated with a skeletal muscle mass (r = −0.785, p < 0.01), muscular strength (r = −0.500, p < 0.05), and anaerobic power (r = −0.469, p < 0.05), respectively. Likewise, AIx@75 corrected with a heart rate of 75 was negatively associated with skeletal muscle mass (r = −0.738, p < 0.01), muscular strength (r = −0.461, p < 0.05), and anaerobic power (r = −0.420, p < 0.05) respectively. However, the baPWV showed no correlation with all muscular factors. Our findings suggest that maintaining high levels of skeletal muscle mass, muscular strength, and anaerobic power from relatively young age may lower AIx.


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 ◽  
...  

2000 ◽  
Vol 99 (4) ◽  
pp. 309 ◽  
Author(s):  
Sarah L. ELKIN ◽  
Lauren WILLIAMS ◽  
Margaret MOORE ◽  
Margaret E. HODSON ◽  
Olga M. RUTHERFORD

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.


Sign in / Sign up

Export Citation Format

Share Document