Validating muscle mass cutoffs of four international sarcopenia‐working groups in Japanese people using DXA and BIA

Yamada, Yosuke; Yamada, Minoru; Yoshida, Tsukasa; Miyachi, Motohiko; Arai, Hidenori

doi:10.1002/jcsm.12732

Cited by 23 publications

(19 citation statements)

References 34 publications

(107 reference statements)

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“…In other words, our results support the cut‐off value stipulated by the Asian Working Group for Sarcopenia. The ASM estimated using a segmental multi‐frequency bioelectrical impedance analysis device has been reported to correlate well with that measured using dual energy X‐ray absorptiometry, 12–14 although a fixed‐bias was observed in the ASM value measured using InBody, i.e., in young to middle‐aged adults, ASM measured with InBody was approximately 10% lower as compared with that measured with other bioelectrical impedance device or dual energy X‐ray absorptiometry 14 . Because it was uncertain whether ASM measured with InBody was underestimated in this study of older adults, further longitudinal studies using different devices are needed to determine the cut‐off value from a perspective of prognosis prediction.…”

Section: Discussionmentioning

confidence: 87%

Skeletal muscle mass index is independently associated with all‐cause mortality in men: The Nagahama study

Tabara

Setoh²,

Kawaguchi

et al. 2022

Geriatrics Gerontology Int

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Background: We aimed to determine if skeletal muscle mass is a predictor of all-cause mortality and if muscle mass plays a role in the association between body mass index (BMI) and all-cause mortality in community residents. Methods:The study population consists of 3582 elderly (age ≥65 years) adults. The skeletal muscle mass index (SMI) was measured between 2013 and 2016. Men with SMI <7.0 kg/m 2 and women with SMI <5.7 kg/m 2 were considered to have low SMI. All-cause mortality was determined by reviewing residential registry records (follow-up duration: 2564 AE 373 days). Results:The mortality rate of the low SMI group was significantly higher than that of the normal SMI group in men (191.3 vs. 93.0 per 10 000 person-years, P < 0.001), but not in women (P = 0.191). In Cox proportional hazard analysis adjusted for possible covariates, the group differences remained significant (hazard ratio = 1.82, P = 0.011). The results were similar when individuals who died within 1 year of follow-up were excluded from the analysis (P = 0.015). Cubic splines revealed that SMI <6.9 kg/m 2 is a risk factor of all-cause mortality in men. BMI was found to be significantly associated with all-cause mortality in men (P = 0.010), but not in women (P = 0.288); however, the association disappeared after adjustment for SMI (P = 0.163).Conclusion: SMI <6.9 kg/m 2 is a risk factor of all-cause mortality in men but not in women. SMI underlies the relationship between BMI and all-cause mortality. Geriatr Gerontol Int 2022; 22: 956-960.

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Section: Discussionmentioning

confidence: 87%

Skeletal muscle mass index is independently associated with all‐cause mortality in men: The Nagahama study

Tabara

Setoh²,

Kawaguchi

et al. 2022

Geriatrics Gerontology Int

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“…Two studies had reported an average of 6.8 kg/m 2 , one was conducted for 881 Japanese females aged 18–39 years [ 22 ] and the other was conducted for 1368 Japanese females aged 18–40 years [ 23 ]. A more recent study reported an average of 6.9 kg/m 2 conducted for 154 Japanese females aged 18–40 years [ 24 ]. The higher SMI reported in the present study is thought to be due to the participants' past exercise habituation.…”

Section: Discussionmentioning

confidence: 99%

An association between the physical activity level and skeletal muscle mass index in female university students with a past exercise habituation

Oshita

Myotsuzono

2021

Osteoporosis and Sarcopenia

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Objectives This study aims to investigate the association between skeletal muscle mass index (SMI) and physical activity among female university students who had exercise habituation in junior and high school. Methods The body composition of 120 Japanese female students was measured using the bioelectrical impedance analysis (BIA) method, and their physical activity level (PAL) was measured using a factorial method. Based on the ‘Dietary Reference Intakes for Japanese’ (DRIs-J), according to the Ministry of Health, Labour and Welfare, PAL (24-h energy consumption/basal metabolic rate) classifications were defined as low-PAL (PAL < 1.6), moderate-PAL (1.6 ≤ PAL < 1.9), and high-PAL (1.9 ≤ PAL < 2.2), respectively. Results Individuals with low-PAL had a significantly lower SMI, especially for the lower limb muscles, than individuals with moderate-PAL or higher. More than 50% of the individuals with currently low-PAL corresponded or tended to correspond to the SMI cut-off value defined by the Asian Working Group for Sarcopenia or the 2017 National Health and Nutrition Survey of Japan. Therefore, more than half of the female students with currently low-PAL, even those with an exercise habituation in the past, corresponded to the cut-off value for muscle loss in sarcopenia diagnosis, particularly in the lower limbs. Conclusions These results suggest that it is important to maintain a moderate or higher level of physical activity in the DRIs-J classification, even for young women who used to exercise in the past, to maintain muscle mass accordingly.

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“…Muscle mass was calculated from the impedance measured using the bioimpedance analyzer (Inbody s10; InBody Japan, Tokyo, Japan). To minimize the influence of the measurement device, we used Yamada’s formula:

[ 24 ]. The skeletal muscle index (SMI) was calculated as the ratio between the appendicular skeletal muscle mass and the height squared.…”

Section: Methodsmentioning

confidence: 99%

Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients

et al. 2022

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The assessment of sarcopenia is part of the nutritional assessment index and is essential in stroke management. This study aimed to identify and validate cutoff values of temporal muscle thickness (TMT) measured using computed tomography to identify sarcopenia after acute stroke. The participants were patients with stroke aged ≥65 years who were admitted to rehabilitation units. The recruited patients were randomly divided into the calculation and validation cohort. In the calculation cohort, TMT cutoff values for identifying sarcopenia were calculated using receiver operating characteristic analysis. The obtained values were validated in the validation cohort using sensitivity and specificity. The calculation cohort included 230 patients (125 men, mean age, 77.2 ± 7.2 years), whereas the validation cohort included 235 patients (125 men, mean age, 76.4 ± 6.95 years). The TMT cutoff values for identifying sarcopenia and low skeletal muscle index were the same: 3.83 mm for men and 2.78 mm for women. The TMT cutoff value for identifying sarcopenia showed a sensitivity and specificity of 0.642 and 0.750, respectively, for men, and 0.660 and 0.567, respectively, for women. We identified a valid cutoff value of temporal muscle thickness for identifying sarcopenia after acute stroke. TMT is easy to measure and may be useful for the early detection of sarcopenia.

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Validating muscle mass cutoffs of four international sarcopenia‐working groups in Japanese people using DXA and BIA

Cited by 23 publications

References 34 publications

Skeletal muscle mass index is independently associated with all‐cause mortality in men: The Nagahama study

Skeletal muscle mass index is independently associated with all‐cause mortality in men: The Nagahama study

An association between the physical activity level and skeletal muscle mass index in female university students with a past exercise habituation

Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients

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