scholarly journals Association of Appendicular Skeletal Muscle Mass and Central Obesity Parameters with Lipid Profiles in Older Women

2021 ◽  
Vol 9 (B) ◽  
pp. 921-924
Author(s):  
Lazuardhi Dwipa ◽  
Syarief Hidayat ◽  
Senov Eka Permadi ◽  
Evan Susandi ◽  
Alif Bagus Rakhimullah ◽  
...  

BACKGROUND: Metabolic syndrome is a common condition found in the elderly. The association between body compositions with the lipid profiles in the elderly as cardiovascular risk factors was still unclear. AIM: This study aimed to evaluate the association appendicular skeletal muscle mass (ASMM) and central obesity parameters with lipid profile in older women. METHODS: This was a cross-sectional study conducted at the Geriatric Outpatient Clinic, Hasan Sadikin General Hospital, Bandung, from January 2019 to February 2020. We collected patients’ medical records and analyzed the correlation between ASMM and central obesity parameters including truncal fat mass (TrFM) with lipid profile. RESULTS: A total of 61 subjects were included in the inclusion criteria in this study. The mean of body mass index (BMI) was 25.8 ± 4.5 with a normal BMI percentage of 44.2% and obesity of 16.4%. The mean of abdominal and calf circumference was 89 ±10 cm and 35 ± 4 cm, respectively. The mean of ASMM was 8.27 ± 1.29 kg/m2 and TrFM was 10.98 ± 3.92 kg/m2. We found a negative correlation between ASMM and high-density lipoprotein (HDL) (r = –0.297, p = 0.01). TrFM was correlated with triglycerides (TG) (r = 0.339, p = 0.004). There was no significant relationship between calf circumference and abdominal circumference to lipid profile parameters. CONCLUSION: ASMM is negatively correlated with HDL, meanwhile, TrFM had a positive correlation with TG in older women as alertness of cardiovascular risk.

2020 ◽  
Author(s):  
Lazuardhi Dwipa ◽  
Rini Widiastuti ◽  
Alif Bagus Rakhimullah ◽  
Marcellinus Maharsidi ◽  
Yuni Susanti Pratiwi ◽  
...  

Abstract Background The relationship between obesity and low bone mineral density (BMD) in older adults is still unclear. Most of the previous study did not account the factor of sarcopenia which is the progressive loss of skeletal muscle mass due to aging, and distribution of fat in obesity. Thus, this study was aimed to explore the correlation between appendicular skeletal muscle mass (ASMM), total fat mass (FM), and truncal fat mass (TrFM) as well as indexes (ASMM/FM and ASMM/TrFM ratio) with BMD in older adults.Methods This was an analytic cross-sectional study. Dual x-ray absorptiometry (DXA) and bioelectric impedance analysis (BIA) were used to assess BMD and body composition, respectively. Appendicular Skeletal Muscle Mass (ASMM) were used in the analysis to reflect sarcopenia, Fat Mass (FM) and Trunkal Fat Mass (TrFM) were used to reflect general and central obesity, respectively. All data were obtained from medical records of Geriatric Clinic of Hasan Sadikin General Hospital Bandung Indonesia from January 2014 to December 2018. The correlation between body compositions variable with BMD were analyzed using Spearman’s test. We also conducted a comparison analysis of body composition variables between low and normal BMD using Mann-Whitney test. Results A total of 112 subjects were enrolled in the study. ASMM and TrFM were positive (rs=0.517, p<0.001) and negative (rS=-0.22, p=0.02) correlated with BMD, respectively. FM were not correlated with BMD, rS=-0.113 (p=0.234). As indexes, ASMM/FM and ASMM/TrFM had positive correlation with BMD, rS=0.277 (p<0.001), and rS=0.391 (p<0.001), respectively. The ASMM, TrFM, and ASMM/TrFM ratio between normal and low BMD also significantly different (p<0.001), meanwhile FM were not (p=0.204).Conclusion ASMM and TrFM have a positive and negative correlation with BMD, respectively. ASMM/TrFM ratio as new sarcopenia-central obesity index has a positive correlation with BMD.


2019 ◽  
Vol 43 (8) ◽  
pp. 998-1007 ◽  
Author(s):  
Leonardo Pozza Santos ◽  
Maria Cristina Gonzalez ◽  
Silvana Paiva Orlandi ◽  
Renata Moraes Bielemann ◽  
Thiago G. Barbosa‐Silva ◽  
...  

Author(s):  
Yoshiaki Taniguchi ◽  
Hyuma Makizako ◽  
Ryoji Kiyama ◽  
Kazutoshi Tomioka ◽  
Yuki Nakai ◽  
...  

This cross-sectional study investigated the association between osteoporosis, grip strength, and skeletal muscle mass in community-dwelling older women. Data obtained from 265 older women who participated in a community-based health check survey (Tarumizu Study) were analyzed. Face-to-face interviews with participants revealed their history of osteoporosis. Appendicular skeletal muscle mass was assessed through bioelectrical impedance analysis, and appendicular skeletal muscle index was calculated. Dominant grip strength was also assessed. Loss of skeletal muscle mass (appendicular skeletal muscle mass < 5.7 kg/m2) and muscle weakness (grip strength < 18 kg) were determined based on criteria for sarcopenia put forth by the Asian Working Group for Sarcopenia. The prevalence rates of osteoporosis, muscle weakness, and loss of skeletal muscle mass were 27.2%, 28.7%, and 50.2%, respectively. Loss of skeletal muscle mass was more prevalent in participants with osteoporosis than in those without (65.3% vs. 44.6%, p < 0.01). The association between osteoporosis and muscle strength was not significant (30.6% vs. 28.0%, p = 0.68). After covariate adjustment, loss of skeletal muscle mass was found to be independently associated with osteoporosis (odds ratio 2.56, 95% confidence interval 1.33–4.91). In sum, osteoporosis was found to be associated with loss of skeletal muscle mass, but not with muscle weakness in community-dwelling older women.


Author(s):  
Soo Jeong Choi ◽  
Min Sung Lee ◽  
Duk-Hee Kang ◽  
Gang Jee Ko ◽  
Hee-Sook Lim ◽  
...  

Background/Aims: Elevated levels of serum myostatin have been proposed as a biomarker for sarcopenia. Recent studies have shown that elevated level of serum myostatin was associated with physical fitness and performance. This study aimed to examine the significance of myostatin in the association between muscle mass and physical performance in the elderly. Methods: This cross-sectional study is based on the Korean Frailty and Aging Cohort study involving 1053 people aged 70 years or over. Anthropometric, physical performance, and laboratory data were collected. Results: The mean age of the participants was 75.8 years, and 50.7% of them were female. Serum myostatin levels in men (3.7 ± 1.2 vs. 3.2 ± 1.1 ng/mL, p < 0.001) were higher compared with that in women. Serum myostatin level was associated with appendicular skeletal muscle mass (ASM) index and eGFR by cystatin C. Serum myostatin/ASM ratio was associated with handgrip strength in women. Conclusion: Higher serum myostatin levels were related with higher muscle mass and better physical performances in the elderly. Serum myostatin/ASM ratio may be a predictor for physical performance rather than myostatin.


2019 ◽  
Vol 43 (8) ◽  
pp. 958-959 ◽  
Author(s):  
Leonardo Pozza Santos ◽  
Maria Cristina Gonzalez ◽  
Silvana Paiva Orlandi ◽  
Renata Moraes Bielemann ◽  
Thiago G. Barbosa‐Silva ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
H. Alemán-Mateo ◽  
Roxana E. Ruiz Valenzuela

Background and Objectives. Skeletal muscle and skeletal muscle indices in young adults from developing countries are sparse. Indices and the corresponding cut-off points can be a reference for diagnoses of sarcopenia. This study assessed skeletal muscle using dual-energy X-ray absorptiometry (DXA) in healthy male and female subjects aged 20–40 years and compared their appendicular skeletal muscle mass (ASM) and total-body skeletal muscle (TBSM) indices using certain cut-off points published in the literature.Methods. A sample of 216 healthy adults men and women from northwest Mexico was included. Body composition was assessed by DXA and several published DXA-derived skeletal muscle indices were compared.Results. Both, ASM and TBSM were higher in men compared to the women group (23.0 ± 3.4 versus 15.9 ± 1.6 kg;P<0.05and 26.5 ± 4.1 versus 16.9 ± 1.9 kg;P<0.05, resp.). These differences were also valid for both indices. When derived cut-off points were compared with the most reported indices, significant differences were found.Interpretation and Conclusion. Published cut-off points from Caucasians are higher than cut-off point derived in this sample of Mexican subjects. The new DXA-derived cut-off points for ASM proposed herein may improve diagnoses of sarcopenia in the geriatric Mexican population.


2021 ◽  
Vol 104 (11) ◽  
pp. 1814-1820

Background: A strong association between calf circumference (CC) and skeletal muscle index (SMI) has been established worldwide in the elderly, however, these data in the Thai population are lacking. Objective: To evaluate the relationship between CC and SMI, as well as to identify the important predictors of SMI among the community-dwelling Thai elderly. Materials and Methods: The present study was an analytic cross-sectional study performed in 110 community-dwelling adults aged 60 years and older who lived in Sriracha, Chonburi, Thailand. Weight, height, and the maximum CC were measured in standing position. Body composition was measured using the bioelectrical impedance analysis (BIA) and the SMI was calculated as the appendicular skeletal muscle mass (ASM) divided by the height squared (kg/m²). Pearson’s correlation was used to indicate the relationship between CC and SMI. Multiple linear regression was developed to predict SMI. Results: The prevalence of low muscle mass in men and women were 23.5% and 33.3%, respectively. CC had a positive correlation with SMI (r=0.75; p<0.001). The cut-off values for predicting low muscle mass using CC were 34.0 cm (sensitivity 85.5%, specificity 71.8%, AUC 0.895) in women, and 33.4 cm (sensitivity 75.0%, specificity 92.3%, AUC 0.925) in men. Multiple linear regression analysis revealed age, gender, weight, and CC as the key predictors for SMI with adjusted r² of the model equal to 0.80. CC and weight had a direct effect on SMI. On the other hand, age was inversely related to SMI. Women had lower SMI than men. Conclusion: CC was positively associated with SMI, and it could be used as a screening tool to identify the community-dwelling Thai elderly with low muscle mass in the field settings. Important predictors of SMI were age, gender, weight, and CC. Keywords: Calf circumference; Skeletal muscle index; Sarcopenia; Low muscle mass; Aging; Appendicular skeletal muscle mass


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