&lt;p&gt;Prevalence of Sarcopenia in Community-Dwelling Older Adults According to Simplified Algorithms for Sarcopenia Consensus Based on Asian Working Group for Sarcopenia&lt;/p&gt;

Chang, Hee-Kyung; Lee, Ji-Yeon; Gil, Cho-Rong

doi:10.2147/cia.s281131

Cited by 22 publications

(27 citation statements)

References 25 publications

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“…Sarcopenia prevalence in Hong Kong older adults at 65 or above was estimated to be 39.4% to 40.8% in our study based on the latest AWGS definition, as compared with previously reported 9% in 2014 based on the European Working Group on Sarcopenia in Older People criteria, 27 or another similar study in Japan reporting 9.8–10.1% 28 . Our finding is more closely matched with another recent findings reported in Chang's study in Korea with 40.3% and 41.3% prevalence in male and female, respectively, using InBody 720 BIA as the muscle mass evaluation 29 . This large variability in prevalence findings among different studies could have been attributed to the sampling of subjects, the geographical area or residential settings, changes in demographics, and the difference in muscle mass measurements by different methods (BIA vs. DXA).…”

Section: Discussionsupporting

confidence: 88%

Diagnosis of sarcopenia by evaluating skeletal muscle mass by adjusted bioimpedance analysis validated with dual‐energy X‐ray absorptiometry

Cheng

Chow

Hung

et al. 2021

J cachexia sarcopenia muscle

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Background This study aimed to adjust and cross‐validate skeletal muscle mass measurements between bioimpedance analysis (BIA) and dual‐energy X‐ray absorptiometry (DXA) for the screening of sarcopenia in the community and to estimate the prevalence of sarcopenia in Hong Kong. Methods Screening of sarcopenia was provided to community‐dwelling older adults. Appendicular skeletal muscle mass (ASM) was evaluated by BIA (InBody 120 or 720) and/or DXA. Handgrip strength and/or gait speed were assessed. Diagnosis of sarcopenia was based on the 2019 revised Asian Working Group for Sarcopenia cut‐offs. Agreement analysis was performed to cross‐validate ASM measurements by BIA and DXA. Multiple regression was used to explore contribution of measured parameters in predicting DXA ASM from BIA. Results A total of 1587 participants (age = 72 ± 12 years) were recruited; 1065 participants were screened by BIA (InBody 120) with 18 followed up by DXA, while the remaining 522 participants were assessed by the BIA (InBody 720) and DXA. The appendicular skeletal muscle mass index (ASMI) evaluated by BIA showed a mean difference of 2.89 ± 0.38 kg/m2 (InBody 120) and 2.97 ± 0.45 kg/m2 (InBody 720) against DXA gold standard. A significant overestimation of muscle mass was measured by BIA compared with DXA (P < 0.005). BIA data were adjusted using prediction equation and mean difference reduced to −0.02 ± 0.31 kg/m2 in cross‐validation. Prevalence of sarcopenia in older adults ≥65 ranged from 39.4% (based on ASMI by DXA) to 40.8% (based on predicted DXA ASMI from BIA). Low ASMI by DXA was found in 68.5% of the older adults screened. The percentage of older adults exhibited low handgrip strength ranged from 31.3% to 56%, while 49% showed low gait speed. Conclusions Bioimpedance analysis was found to overestimate skeletal muscle mass compared with DXA. With adjustment equations, BIA can be used as a quick and reliable tool for screening sarcopenia in community and clinical settings with limited access to better options.

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Section: Discussionsupporting

confidence: 88%

Diagnosis of sarcopenia by evaluating skeletal muscle mass by adjusted bioimpedance analysis validated with dual‐energy X‐ray absorptiometry

Cheng

Chow

Hung

et al. 2021

J cachexia sarcopenia muscle

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“…Thus, in the items of mobility and functional independence, participants presented similar results for both instruments. These items refer to the ability of the elderly to correspond to daily demands and have a significant association with a greater risk of frailty (31) .…”

Section: Discussionmentioning

confidence: 99%

Frailty in the elderly: screening possibilities in Primary Health Care

et al. 2022

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Objectives: to evaluate two instruments for screening frailty in the elderly in Primary Health Care. Methods: this is an observational, cross-sectional study, with a quantitative approach, with 396 elderly people. SPSS software helped to perform the statistical analyses. The study used the kappa coefficient and Spearman’s correlation. Results: the kappa coefficient between the Clinical-Functional Vulnerability Index 20 and the Edmonton Frailty Scale was 0.496, considered moderate. There was a positive and significant correlation (r = 0.77; p < 0.001) between the frailty conditions and the total score of the two instruments. Conclusions: when this article assessed fragility through the kappa coefficient, both instruments presented positive correlation and agreement. However, the identification of frailty was higher when it used the Edmonton Frailty Scale.

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“…The diagnostic criteria for sarcopenia include gait speed [ 46 ] and grip strength [ 47 ], which are associated with the risk of mortality among older adults. It has been reported in some studies that sarcopenia defined only by low muscle mass was similar to sarcopenia defined according to the criteria of low muscle mass, low muscle strength, and low physical performance [ 28 , 29 ]; however, other studies have shown a difference in the prevalence of sarcopenia by these criteria [ 6 , 7 ]. In addition, although we used bioimpedance methods to evaluate the muscle mass, it is possibly not the most accurate analysis [ 1 – 4 ] to validate another tool including finger-cycle test.…”

Section: Discussionmentioning

confidence: 99%

“…Body composition was assessed via an octopolar multi-frequency bioimpedance device (MC-780A, TANITA Corp., Tokyo, Japan) which was validated against Dual-energy X-ray absorptiometry (DEXA) [ 27 ], with participants wearing as light clothing as possible. It was reported that sarcopenia defined only by low muscle mass was similar to sarcopenia defined according to the criteria of The European Working Group on Sarcopenia in Older People (EWGSOP) [ 28 ] or AWGS [ 29 ] (low muscle mass, low muscle strength, and low physical performance); hence, sarcopenia was defined by a skeletal muscle mass index (SMI) (evaluated by the bioimpedance method) of < 7.0 kg/m 2 in men and < 5.7 kg/m 2 in women, in accordance with the AWGS 2019 Consensus, in our study [ 2 ]. SMI was calculated as the ALM (kg) divided by the square of the height (m 2 ).…”

Section: Methodsmentioning

confidence: 99%

Factors associated with sarcopenia screened by finger-circle test among middle-aged and older adults: a population-based multisite cross-sectional survey in Japan

et al. 2021

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BackgroundPrevious epidemiological studies have demonstrated the prevalence and relationship of various factors associated with sarcopenia in older adults; however, few have examined the status of sarcopenia in middle-aged adults. In this study, we aimed to, 1) evaluate the validity of the finger-circle test, which is potentially a useful screening tool for sarcopenia, and 2) determine the prevalence and factors associated with sarcopenia in middle-aged and older adults.MethodsWe conducted face-to-face surveys of 525 adults, who were aged 40–91 years and resided in Settsu City, Osaka Prefecture, Japan to evaluate the validity of finger-circle test. The finger-circle test evaluated calf circumference by referring to an illustration printed on the survey form. The area under the receiver operating characteristic curves (AUROC) was plotted to evaluate the validity of the finger-circle test for screening sarcopenia and compared to that evaluated by skeletal muscle mass index (SMI) measured using bioimpedance. We also conducted multisite population-based cross-sectional anonymous mail surveys of 9337 adults, who were aged 40–97 years and resided in Settsu and Hannan Cities, Osaka Prefecture, Japan. Participants were selected through stratified random sampling by sex and age in the elementary school zones of their respective cities. We performed multiple logistic regression analysis to explore associations between characteristics and prevalence of sarcopenia.ResultsSarcopenia, defined by SMI, was moderately predicted by a finger-circle test response showing that the subject’s calf was smaller than their finger-circle (AUROC: 0.729, < 65 years; 0.653, ≥65 years); such subjects were considered to have sarcopenia. In mail surveys, prevalence of sarcopenia screened by finger-circle test was higher in older subjects (approximately 16%) than in middle-aged subjects (approximately 8–9%). In a multiple regression model, the factors associated with sarcopenia were age, body mass index, smoking status, self-reported health, and number of meals in all the participants.ConclusionsSarcopenia, screened by the finger-circle test, was present not only among older adults but also among middle-aged adults. These results may provide useful indications for developing public health programs, not only for the prevention, but especially for the management of sarcopenia.Trial registrationUMIN000036880, registered prospectively May 29, 2019, https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000042027

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<p>Prevalence of Sarcopenia in Community-Dwelling Older Adults According to Simplified Algorithms for Sarcopenia Consensus Based on Asian Working Group for Sarcopenia</p>

Cited by 22 publications

References 25 publications

Diagnosis of sarcopenia by evaluating skeletal muscle mass by adjusted bioimpedance analysis validated with dual‐energy X‐ray absorptiometry

Diagnosis of sarcopenia by evaluating skeletal muscle mass by adjusted bioimpedance analysis validated with dual‐energy X‐ray absorptiometry

Frailty in the elderly: screening possibilities in Primary Health Care

Factors associated with sarcopenia screened by finger-circle test among middle-aged and older adults: a population-based multisite cross-sectional survey in Japan

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