scholarly journals Sarcopenic Obesity Is Significantly Associated With Coronary Artery Calcification

2021 ◽  
Vol 8 ◽  
Author(s):  
Goh Eun Chung ◽  
Hyo Eun Park ◽  
Heesun Lee ◽  
Min Joo Kim ◽  
Su-Yeon Choi ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Muscle Mass ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Sarcopenic Obesity ◽  
Atherosclerotic Burden ◽  
Appendicular Skeletal Muscle ◽  
Study Population ◽  
Artery Disease ◽  
The Relationship

Background: An association between sarcopenic obesity and cardiovascular disease has been suggested. We investigated the relationship between sarcopenia and coronary atherosclerosis, taking into account the presence or absence of obesity in a health check-up population.Methods: Data were reviewed for subjects who underwent bioelectrical impedance analysis (BIA) and coronary calcium scoring (CAC) computed tomography between January 2017 and December 2018. Appendicular skeletal muscle mass (ASM) was assessed using BIA. Sarcopenia was defined as reduction of muscle mass and calculated as ASM% (ASM/body weight) more than two standard deviations below the sex-specific mean for healthy young adults. CAC scores were dichotomized as low (<100) or high (≥100).Results: Among 1,282 subjects (mean age, 58.1 years; 75.5% male), the prevalence of high CAC was 21%. When the study population was divided into four groups according to their obesity and sarcopenia status, the prevalence of high CAC in the sarcopenic-obesity (SO) group was significantly higher than in the other groups (40.7%, P < 0.001). After adjusting for age, sex, hypertension, diabetes, dyslipidemia, and creatinine, subjects with SO exhibited a significantly higher odds of a high CAC score, compared with the non-sarcopenic, non-obese group (odds ratio, 1.92; 95% confidence interval, 1.16–3.18, P = 0.011).Conclusion: SO was significantly associated with CAC, independent of known risk factors for coronary artery disease. These findings suggest that sarcopenia and obesity may potentiate each other to increase atherosclerotic burden in coronary arteries, which may eventually lead to adverse cardiovascular events.

Performance of a Novel Handheld Bioelectrical Impedance Device for Assessing Muscle Mass in Older Inpatients

2021 ◽  
pp. 1-7
Author(s):  
A.K. Stuck ◽  
A. Weber ◽  
R. Wittwer ◽  
A. Limacher ◽  
R.W. Kressig
Keyword(s):  
Muscle Mass ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Cross Sectional Study ◽  
Mean Difference ◽  
Second Phase ◽  
Cross Sectional ◽  
Rehabilitation Hospital ◽  
Appendicular Skeletal Muscle ◽  
Older Inpatients

Objectives: To investigate practicality and repeatability of a handheld compared to a state-of-the-art multisegmental bioelectrical impedance analysis (BIA) device to facilitate screening of sarcopenia in older inpatients. Design and setting: Cross-sectional study in a geriatric rehabilitation hospital. Participants: 207 inpatients aged 70+. Measurements: In a first phase, appendicular skeletal muscle mass index (ASMI) was measured using the handheld Biody xpertZm II BIA device (n=100). In a second phase, ASMI was obtained using the multisegmental Biacorpus RX 4004M device (n=107). Repeatability of BIA devices was compared in subgroups of patients (handheld BIA device: n=36, multisegmental BIA device: n=46) by intra-class correlation (ICC) and Bland-Altman plots. Results: Overall, measurement failure was seen in 31 patients (31%) tested with the handheld BIA device compared to one patient (0.9%) using the multisegmental BIA device (p<0.001). Main reasons for measurement failure were inability of patients to adopt the position necessary to use the handheld BIA device and device failure. The mean difference of two ASMI measurements in the same patient was 0.32 (sd 0.85) using the handheld BIA device compared to 0.02 kg/m2 (sd 0.07) using the multisegmental device (adjusted mean difference between both groups -0.35, 95% confidence interval (CI) -0.61 to -0.09 kg/m2). Congruently, Bland-Altman plots showed poor agreement with the handheld compared to the multisegmental BIA device. Conclusion: The handheld BIA device is neither a practical nor reliable device for assessing muscle mass in older rehabilitation inpatients.

scholarly journals Appendicular skeletal muscle mass and quality estimated by bioelectrical impedance analysis in the assessment of frailty syndrome risk in older individuals

2021 ◽  
Author(s):  
Małgorzata Kołodziej ◽  
Anna Sebastjan ◽  
Zofia Ignasiak
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Bioelectrical Impedance Analysis ◽  
Skeletal Muscle Mass ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Muscle Quality ◽  
Elderly Persons ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Abstract Background and aim The rising aging index of many populations necessitates the continuous evolution of geriatric assessment methods, especially the ones used to identify frailty and the risk of frailty. An appropriately early diagnosis of adverse changes in skeletal muscles can reduce the risk of functional limitations in elderly persons. The aim of this study was to assess the correlation between the appendicular skeletal muscle mass and quality, estimated by the bioelectrical impedance analysis method, and the risk of prevalence of the pre-frailty state in elderly persons. Methods One-thousand-and-fifteen subjectively healthy persons aged 60–87 years were tested. Anthropometric measurements and physical fitness and activity measurements were carried out and the frailty phenotype was evaluated. Appendicular skeletal muscle mass was estimated using the bioelectrical impedance analysis method. Muscle quality was assessed through an index correcting strength relative to muscle mass and through the impedance phase angle. The correlation between the muscle mass and quality estimating parameters and the probability of identifying pre-frailty was checked using multiple logistic regression. Results The prevalence of pre-frailty was 38%. The pre-frail persons were found to have a significantly lower muscle mass and quality than the non-frail persons, with the difference in the case of the muscle quality index nearly twice larger than for the muscle mass index. A significant logit model was obtained for pre-frailty prevalence, which was strongly dependent on the appendicular skeletal muscle mass (adjusted odds ratio (OR): 0.43, 95% CI 0.36–0.52, p < 0.001) and functional quality (adjusted OR: 0.26, 95% CI 0.18–0.38, p < 0.001) and less on age (adjusted OR: 1.10, 95% CI 1.07–1.13, p < 0.001). Conclusion The strong correlation between the frailty phenotype and appendicular skeletal muscle mass and functional quality suggests that the two variables should be included in routine geriatric assessment with regard to frailty.

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