scholarly journals Correlation between Body Mass Index, Gender, and Skeletal Muscle Mass Cut off Point in Bandung

2017 ◽  
Vol 5 (2) ◽  
pp. 47-51
Author(s):  
Richi Hendrik Wattimena ◽  
◽  
Vitriana Vitriana ◽  
Irma Ruslina Defi
2021 ◽  
Vol 10 (9) ◽  
Author(s):  
Rebecca Knowles ◽  
Jennifer Carter ◽  
Susan A. Jebb ◽  
Derrick Bennett ◽  
Sarah Lewington ◽  
...  

Background There is debate whether body mass index is a good predictor of health outcomes because different tissues, namely skeletal muscle mass (SMM) and fat mass (FM), may be differentially associated with risk. We investigated the association of appendicular SMM (aSMM) and FM with fatal and nonfatal cardiovascular disease (CVD) and all‐cause mortality. We compared their prognostic value to that of body mass index. Methods and Results We studied 356 590 UK Biobank participants aged 40 to 69 years with bioimpedance analysis data for whole‐body FM and predicted limb muscle mass (to calculate aSMM). Associations between aSMM and FM with CVD and all‐cause mortality were examined using multivariable Cox proportional hazards models. Over 3 749 501 person‐years of follow‐up, there were 27 784 CVD events and 15 844 all‐cause deaths. In men, aSMM was positively associated with CVD incidence (hazard ratio [HR] per 1 SD 1.07; 95% CI, 1.06–1.09) and there was a curvilinear association in women. There were stronger positive associations between FM and CVD with HRs per SD of 1.20 (95% CI, 1.19–1.22) and 1.25 (95% CI, 1.23–1.27) in men and women respectively. Within FM tertiles, the associations between aSMM and CVD risk largely persisted. There were J‐shaped associations between aSMM and FM with all‐cause mortality in both sexes. Body mass index was modestly better at discriminating CVD risk. Conclusions FM showed a strong positive association with CVD risk. The relationship of aSMM with CVD risk differed between sexes, and potential mechanisms need further investigation. Body fat and SMM bioimpedance measurements were not superior to body mass index in predicting population‐level CVD incidence or all‐cause mortality.


Author(s):  
Verawati Sudarma ◽  
Lukman Halim

Background<br />Low vitamin D has been associated with various health problems. Aging influences body composition, especially body fat and fat-free mass. Anthropometric measurements, such as body weight (BW), body mass index (BMI), body fat (BF), skeletal muscle mass (SMM), waist circumference (WC) and the waist-height ratio (WHtR) represent body composition which many studies proposed will influence serum vitamin D [25(OH)D]. The objective of the present study was to determine which anthropometric measurements were determinants of 25(OH)D levels in elderly.<br /><br />Methods<br />A cross-sectional study was conducted involving 126 elderly (&gt;60 years old) men and women at Pusat Santunan Dalam Keluarga (PUSAKA) Central Jakarta centers. Anthropometric measurements [body mass index (BMI), skeletal muscle mass (SMM), body fat (BF), and waist circumference (WC)] were determined by bioelectrical impedance analysis using the Omron body composition monitor with scales (HBF-375, Omron, Japan). Fasting blood samples were taken to measure 25(OH)D level by electrochemiluminescence immunoassay. Multivariate linear regression was used to analyze the data.<br /><br />Results <br />The data showed that BMI, BF, and WC were higher than recommended, while SMM and serum 25(OH)D were lower. When the analysis was done based on sex, there were significant differences in BF, SMM, WHtR, and serum 25(OH)D. In the linear regression multivariate analysis of log 25(OH)D with age and body anthropometric measurements, only SMM reached significance level (β=0.019; p=0.025).<br /><br />Conclusions<br />This study demonstrated a positive association between skeletal muscle mass and serum levels of vitamin D in elderly.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Melanie S Haines ◽  
Aaron Leong ◽  
Bianca Porneala ◽  
Victor W Zhong ◽  
Cora E Lewis ◽  
...  

Although less muscle mass is associated with greater diabetes prevalence in cross-sectional studies, prospective data in middle-aged Black and White adults are lacking. Middle age is a critical window as accelerated muscle loss is yet to occur, and preventing diabetes reduces lifelong morbidity and mortality. We hypothesized that lower appendicular lean mass adjusted for body mass index (ALM/BMI) is associated with higher incident diabetes in middle-aged Black and White adults in the Coronary Artery Risk Development in Young Adults (CARDIA) study. ALM/BMI was measured by dual x-ray energy absorptiometry (DXA) in 2005-06 among middle-aged US men (n=855) and women (n=1045) in CARDIA. Incident diabetes occurred if any of the following were met in 2010-11 or 2015-16 among persons without diabetes in 2005-06: fasting glucose ≥7 mmol/L (126 mg/dL), 2-hour glucose ≥11.1 mmol/L (200 mg/dL) on a 75-gram glucose tolerance test, HbA 1C ≥48 mmol/mol (6.5%), or use of glucose-lowering medications. We used logistic regression models with sex stratification given sex differences in ALM. In men, mean age was 45.0 ± 3.5 y, BMI 28.0 ± 4.3 kg/m 2 , and ALM/BMI 1.07 ± 0.14 m 2 . In women, mean age was 45.2 ± 3.6 years, BMI 28.4 ± 6.4 kg/m 2 , and ALM/BMI 0.73 ± 0.12 m 2 . Diabetes developed in 70 men (8.2%) and 72 women (6.9%). For each standard deviation increase in ALM/BMI (m 2 ), the risk of diabetes decreased by 22% in men and 29% in women (Table 1). After adjusting for age, race, smoking, education, physical activity, and waist circumference, the association of ALM/BMI with diabetes incidence was no longer significant. Associations were similar between race-ethnic groups. In conclusion, less relative skeletal muscle mass is associated with a greater risk of developing diabetes in middle-aged men and women over 10 years, which is largely explained by the relationship of ALM/BMI to other metabolic risk factors. Low skeletal muscle mass in middle age is a marker for greater diabetes risk and may be a target for preventative interventions.


2019 ◽  
Vol 10 ◽  
pp. 204201881984297
Author(s):  
Hitomi Miyake ◽  
Ippei Kanazawa ◽  
Ken-ichiro Tanaka ◽  
Toshitsugu Sugimoto

Background: Patients with type 2 diabetes mellitus (T2DM) have an increased risk of muscle mass reduction. However, the association between muscle mass and mortality in T2DM remains unknown. Methods: This was a historical cohort study with the endpoint of all-cause mortality. This study included 163 Japanese men and 141 postmenopausal women with T2DM whose body compositions were evaluated using dual-energy X-ray absorptiometry. Low muscle mass was defined as a skeletal muscle mass index (SMI) of <7.0 kg/m2 for men and <5.4 kg/m2 for women. Results: During the 6-year follow-up period, 32 men and 14 women died. In a Cox regression analysis adjusted for age, T2DM duration, glycated hemoglobin, serum creatinine, fasting C-peptide, body mass index, and lean body mass were associated with the risk of mortality in men [hazard ratio (HR) = 1.81, 95% confidence interval (CI) = 1.00–3.28 per standard deviation (SD) decrease, p = 0.049] and women (HR = 4.53, 95% CI = 1.14–17.96 per SD decrease, p = 0.032). Neither fat mass nor bone mineral content was associated with mortality. Low SMI was associated with increased mortality in women (HR = 5.97, 95% CI = 1.04–34.37, p = 0.045), while the association between low SMI and mortality was marginal in men (HR = 2.38, 95% CI = 0.92–6.14, p = 0.074). Conclusions: Low muscle mass was independently associated with all-cause mortality in patients with T2DM. The preservation of skeletal muscle mass is important to protect patients with T2DM from increased mortality risk.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
R. Mallet ◽  
P. Decazes ◽  
R. Modzelewski ◽  
J. Lequesne ◽  
P. Vera ◽  
...  

AbstractLow skeletal muscle mass is a well-known prognostic factor for patients treated for a non-small-cell lung cancer by surgery or chemotherapy. However, its impact in patients treated by exclusive radiochemotherapy has never been explored. Our study tries to evaluate the prognostic value of low skeletal muscle mass and other antropometric parameters on this population. Clinical, nutritional and anthropometric date were collected for 93 patients treated by radiochemotherapy for a NSCLC. Anthropometric parameters were measured on the PET/CT by two methods. The first method was a manual segmentation at level L3, used to define Muscle Body Area (MBAL3), Visceral Fat Area (VFAL3) and Subcutaneous Fat Area (SCFAL3). The second method was an software (Anthropometer3D), allowing an automatic multislice measurement of Lean Body Mass (LBMAnthro3D), Fat Body Mass (FBMAnthro3D), Muscle Body Mass (MBMAnthro3D), Visceral Fat Mass (VFMAnthro3D), and Sub-Cutaneous Fat Mass (SCFMAnthro3D) on the PET/CT. All anthropometrics parameters were normalised by the patient's height. The primary end point was overall survival time. Univariate and then stepwise multivariate cox analysis were performed for significant parameters. Finally, Spearman's correlation between MBAL3 and MBMAnthro3D was assessed. Forty-one (44%) patients had low skeletal muscle mass. The median overall survival was 18 months for low skeletal muscle mass patients versus 36 months for non-low skeletal muscle mass patients (p = 0.019). Low skeletal muscle mass (HR = 1.806, IC95% [1.09–2.98]), serums albumin level < 35 g/l (HR = 2.203 [1.19–4.09]), Buzby Index < 97.5 (HR = 2.31 [1.23–4.33]), WHO score = 0 (HR = 0.59 [0.31–0.86] and MBMAnthro3D < 8.56 kg/m2 (HR = 2.36 [1.41–3.90]) were the only significant features in univariates analysis. In the stepwise multivariate Cox analysis, only MBMAnthro3D < 8.56 kg/m2 (HR = 2.16, p = 0.003) and WHO score = 0 (HR = 0.59, p = 0.04) were significant. Finally, muscle quantified by MBAL3 and MBMAnthro3D were found to be highly correlated (Spearman = 0.9). Low skeletal muscle mass, assessed on the pre-treatment PET/CT is a powerful prognostic factor in patient treated by radiochemotherapy for a NSCLC. The automatic software Anthropometer3D can easily identify patients a risk that could benefit an adapted therapy.


Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2266
Author(s):  
Neda Haghighat ◽  
Damoon Ashtary-Larky ◽  
Reza Bagheri ◽  
Alexei Wong ◽  
Neda Cheraghloo ◽  
...  

(1) Background: The favorable effects of high protein snacks on body composition and appetite status in lean and athletic populations have been illustrated previously. However, the effects of soy-enriched high protein snacks have not been investigated in women with normal-weight obesity (NWO). Consequently, we aimed at comparing the effects of six months of soy-enriched high protein snack replacement on appetite, body composition, and dietary intake in women with NWO. (2) Methods: One hundred seven (107) women with NWO [(age: 24 ± 3 yrs, BMI: 22.7 ± 2.3 kg/m2, body fat percentage (BFP): 38 ± 3.2%)] who were assigned to one of two groups; high protein snack (HP, n = 52) containing 50 g soybean or isocaloric low-protein snack (protein: 18.2 g, carbohydrate: 15 g, fat: 10 g, energy: 210 kcal) or isocaloric low protein snack (LP, n = 55) containing 3.5 servings of fruit (protein: <2 g, carbohydrate: ≈50 g, fat: <1 g, energy: ≈210 kcal) as part of their daily meals (as a snack at 10 a.m.), successfully completed the study interventions. Body mass (BM), body mass index (BMI), waist circumference (WC), BFP, skeletal muscle mass, dietary intake, and appetite levels were evaluated prior to and after the six-month intervention. (3) Results: Appetite (HP = −12 mm and LP = −0.6 mm), energy intake (HP = -166.2 kcal/day and LP = 91.3 kcal), carbohydrate intake (HP = −58.4 g/day and LP = 6.4 g/day), WC (HP = −4.3 cm and LP = −0.9 cm), and BFP (HP = −3.7% and LP = −0.9%) were significantly (p < 0.05) reduced, while skeletal muscle mass (HP = 1.2 kg and LP = 0.3 kg) significantly increased in the HP compared to the LP group, respectively. (4) Conclusions: Six months of a soy-enriched high protein snack replacement decreased appetite and improved body composition in women with NWO. Our findings suggest that soy-enriched high protein snacks are an efficacious strategy for body composition improvement.


2020 ◽  
Vol 11 ◽  
pp. 204062232097524
Author(s):  
Jian-Zi Lin ◽  
Chu-Tao Chen ◽  
Jian-Da Ma ◽  
Ying-Qian Mo ◽  
Qian-Hua Li ◽  
...  

Background: Chronic inflammation in rheumatoid arthritis (RA) can induce reduced muscle mass (myopenia) and ectopic fat deposition probably showing normal body mass index (BMI). We aimed to investigate their body composition (BC) characteristics and clinical significance. Methods: BMI and BC were collected in consecutive RA patients and control subjects. Myopenia was defined by appendicular skeletal muscle mass index (ASMI) ⩽7.0 kg/m2 in men and ⩽5.7 kg/m2 in women. Overfat was defined by body fat percentage (BF%) as ⩾25% for men and ⩾35% for women. Results: There were 620 RA patients (57.6% with normal BMI) and 2537 control subjects (62.5% with normal BMI) recruited. After 1:1 age and sex matching with control subjects, RA patients with normal BMI ( n = 240) showed significantly higher prevalence of myopenia (43.3% versus 22.1%) and overfat (19.2% versus 7.1%) as well as myopenia overlapping overfat (17.1% versus 3.3%). In all RA patients with normal BMI ( n = 357), there were 18.2% patients with myopenia overlapping overfat who had the worst radiographic scores and highest rates of previous glucocorticoid treatment and hypertension. Compared with those without, normal BMI RA patients with previous glucocorticoid treatment (24.4% versus 10.3%) or hypertension (27.8% versus 13.6%) had a higher rate of myopenia overlapping overfat. Previous glucocorticoid treatment [odds ratio (OR) = 2.844, 95% confidence interval (CI) 1.441–5.614] and hypertension (OR = 2.452, 95% CI 1.283–4.685) were potential associated factors of myopenia overlapping overfat in RA patients with normal BMI. Conclusion: Myopenia overlapping overfat is an important extra-articular manifestation which should not be ignored in RA patients with normal BMI, especially with glucocorticoid treatment and hypertension.


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