Background: Fat and fat-free/muscle mass and their ratio reflecting the possible presence of obesity or sarcopenic obesity are important in assessing body composition.
Objective: The aim of the work was to assess the use of fat and fat-free mass and their ratio in the diagnosis of sarcopenic obesity, as well as correlations with selected anthropometric, somatic and biochemical parameters and indices.
Material And Methods: The object of the study was a group of 201 women (20-68 aged) randomly selected from the population without the presence of a serious disease or without the use of medication. Body composition was assessed by the MFBIA method (InBody 720). We used the ratio of fat to fat-free mass (FM/FFM) to define sarcopenic obesity. A Biolis 24i Premium biochemical analyzer was used to determine biochemical parameters.
Results: Using FM and FFM values and their mutual ratio, we identified women with a healthy body weight (28.9%), obese women (58.2%) and women with sarcopenic obesity (12.9%). Values of anthropometric parameters (body weight, BMI, WC, WHR, WHtR, BAI, FM (kg, %), FMI, VFA, FFM (kg), FFMI, SMM (kg), SMMI, ICW, ECW, TBW, CHC, HC), with the exception of FFM (%), SMM (%) and TBW (%), increased significantly with increasing FM/FFM values, so the highest values were found in subjects with sarcopenic obesity. In the case of biochemical parameters, with increasing FM/FFM values, the values of T-CH, LDL, TAG, GLU, hs-CRP, UA, systolic and diastolic blood pressure also increased, so the highest values were again found in women with sarcopenic obesity. HDL values, on the contrary, decreased. FM/FFM had the strongest positive association with the proportion of fat mass on body weight (r=0.989), then with FMI (r=0.980), FM (r=0.965), VFA (r=0.938), WHtR (r=0.937), BMI (r=0.922), WC (r=0.901. We found the strongest negative association with the proportion of FFM on body weight (r=-0.989), the proportion of total body water (r=-0.988) and the proportion of skeletal muscle mass (r=-0.987).
Conclusions: FM/FFM correlates excellently with FM and VFA and can be implemented to diagnose obesity. In order to comprehensively evaluate the state of health and body composition, the proportionality of not only fat, but also fat-free/muscle mass should be analyzed, because it turns out that a negative impact on health and survival is associated not only with an excessive amount of adipose tissue, but also with a lower muscle mass.
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http://dx.doi.org/10.32394/rpzh.2023.0243 | DOI Listing |
Dig Dis Sci
January 2025
Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 138 Sheng Li Road, Tainan, 70401, Taiwan.
Aim: Sarcopenic obesity (SO) is associated with adverse outcomes in diseased patients. This study aimed to examine the prevalence and risks associated with SO, with a focus on the impact of SO on cardiovascular risk in patients with MASLD.
Materials And Methods: In this cross-sectional study, patients with MASLD were prospectively enrolled.
Sci Rep
January 2025
Human Performance Lab, University of Calgary, Calgary, AB, Canada.
Metabolic abnormalities associated with excess adiposity in obesity contribute to many noncommunicable diseases, including sarcopenic obesity. Sarcopenic obesity is the loss of muscle mass coupled with excess fat mass and fatty infiltrations in muscle tissue called myosteatosis. A diet-induced obesity model was developed to study fat infiltration in muscle tissue.
View Article and Find Full Text PDFDiabetes Metab Syndr
January 2025
Department of Anthropology, University of Delhi, Delhi, 110007, India; Laboratory of Kinanthropometry, Ergonomics and Physiological Anthropology, Department of Anthropology, University of Delhi, Delhi, 110007, India. Electronic address:
Aims: To assess the prevalence of possible sarcopenia and sarcopenic obesity phenotypes and investigate their association with self-reported diabetes among community-dwelling individuals aged 45 or above.
Methods: Utilizing data from 62,899 individuals in LASI wave-1 (2017-18), the assessment of possible sarcopenia was done on two critical parameters: muscle (handgrip) strength and physical performance (gait speed), following the 2019 guidelines from the Asian working group on sarcopenia (AWGS). BMI, WC, WHR, and WHtR defined sarcopenic obesity phenotypes.
BMC Geriatr
January 2025
The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), 54 Youdian Road, Hangzhou, Zhejiang Province, 310053, China.
Aim: Assessing the effect of various forms of exercise training on patients with sarcopenic obesity.
Methods: Two independent reviewers systematically searched English and Chinese databases (PubMed, Embase, Cochrane Library, Web of Science, CNKI) for randomized controlled trials on various exercise training effects in sarcopenic obesity patients until October 2023. Reference materials and grey literature were also included.
J Obes Metab Syndr
January 2025
Division of Cardiology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, Korea.
Background: Although the presence of both obesity and reduced muscle mass presents a dual metabolic burden and additively has a negative effect on a variety of cardiometabolic parameters, data regarding the associations between their combined effects and left ventricular diastolic function are limited. This study investigated the association between the ratio of skeletal muscle mass to visceral fat area (SVR) and left ventricular diastolic dysfunction (LVDD) in patients with preserved ejection fraction using random forest machine learning.
Methods: In total, 1,070 participants with preserved left ventricular ejection fractions who underwent comprehensive health examinations, including transthoracic echocardiography and bioimpedance body composition analysis, were enrolled.
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