scholarly journals Association of sarcopenic obesity and body composition with metabolically unhealthy overweight/obese phenotypes among Iranian women: A cross-sectional study

2020 ◽  
Author(s):  
Aliyu Tijani Jibril ◽  
Atieh Mirzababaei ◽  
Farideh Shiraseb ◽  
Niloufar Rasaei ◽  
Khadijeh - Mirzaei
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Sarcopenic Obesity ◽  
Sectional Study ◽  
High Fat ◽  
Cross Sectional

Abstract Background Obesity is a major risk factor for metabolic syndrome, with its prevalence has increased over the past decade. Major changes in body composition with aging have a significant effect on many clinical outcomes. Sarcopenic obesity consists of both the presence of abnormal adipose tissue with a deficit of muscle mass. Methods This cross-sectional study was conducted among a total of 241 overweight/obese women aged between 18–48 years in Tehran, Iran, registered by the use of the multistage cluster random sampling method. Blood samples were taken following standard procedures. Body composition was assessed through a multi-frequency bioelectrical impedance analyzer. The metabolic risk was assessed according to Karelis criteria and the subjects were classified as either MHO or MUO phenotypes. Results Of the 241 subjects in this study (average age 35.32 years), 176 (73.03%) were classified as MUO phenotype. Based on this study, the prevalence of sarcopenic obesity was 7.88%. We found that high fat-free mass was more strongly and significantly associated with MUO phenotype. Furthermore, we found that individuals with high fat-free mass and high skeletal muscle mass had a significantly low prevalence of MUO phenotype. A significant positive correlation between metabolic phenotypes and sarcopenic obesity was also observed after all potential covariates were adjusted for. Conclusion These results of this study suggest that increased adiposity and decreased skeletal muscle mass are associated with unfavorable metabolic traits among overweight and obese Iranian women. SO was also found to be associated with a greater risk of developing MUO phenotype.

scholarly journals Association of Sarcopenic Obesity and Body Composition With Metabolically Unhealthy Overweight/Obese Phenotypes Among Iranian Women: A Cross-Sectional Study

2021 ◽  
Author(s):  
Aliyu Tijani Jibril ◽  
Atieh Mirzababaei ◽  
Farideh Shiraseb ◽  
Niloufar Rasaei ◽  
Khadijeh Mirzaei
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Sarcopenic Obesity ◽  
Iranian Women ◽  
High Fat ◽  
Cross Sectional

Abstract Objectives Obesity is a major risk factor for metabolic syndrome, with its prevalence has increased over the past decade. Major changes in body composition with aging have a significant effect on many clinical outcomes. Sarcopenic obesity consists of both the presence of abnormal adipose tissue with a deficit of muscle mass. Results Of the 241 subjects in this study (average age 35.32 years), 176 (73.03%) were classified as MUO phenotype. Based on this study, the prevalence of sarcopenic obesity was 7.88%. We found that high fat-free mass was more strongly and significantly associated with MUO phenotype. Furthermore, we found that individuals with high fat-free mass and high skeletal muscle mass had a significantly low prevalence of MUO phenotype. A significant positive correlation between metabolic phenotypes and sarcopenic obesity was also observed after all potential covariates were adjusted for. These results of this study suggest that increased adiposity and decreased skeletal muscle mass are associated with unfavorable metabolic traits among overweight and obese Iranian women. SO was also found to be associated with a greater risk of developing MUO phenotype.

scholarly journals Body composition and energy intake — skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial

2016 ◽  
Vol 41 (6) ◽  
pp. 611-617 ◽  
Author(s):  
Jameason D. Cameron ◽  
Ronald J. Sigal ◽  
Glen P. Kenny ◽  
Angela S. Alberga ◽  
Denis Prud’homme ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Body Weight ◽  
Muscle Mass ◽  
Energy Intake ◽  
Skeletal Muscle Mass ◽  
Fat Free Mass ◽  
Cross Sectional ◽  
Percentage Body Fat ◽  
Obese Adolescents

There has been renewed interest in examining the relationship between specific components of energy expenditure and the overall influence on energy intake (EI). The purpose of this cross-sectional analysis was to determine the strongest metabolic and anthropometric predictors of EI. It was hypothesized that resting metabolic rate (RMR) and skeletal muscle mass would be the strongest predictors of EI in a sample of overweight and obese adolescents. 304 post-pubertal adolescents (91 boys, 213 girls) aged 16.1 (±1.4) years with body mass index at or above the 95th percentile for age and sex OR at or above the 85th percentile plus an additional diabetes risk factor were measured for body weight, RMR (kcal/day) by indirect calorimetry, body composition by magnetic resonance imaging (fat free mass (FFM), skeletal muscle mass, fat mass (FM), and percentage body fat), and EI (kcal/day) using 3 day food records. Body weight, RMR, FFM, skeletal muscle mass, and FM were all significantly correlated with EI (p < 0.005). After adjusting the model for age, sex, height, and physical activity, only FFM (β = 21.9, p = 0.007) and skeletal muscle mass (β = 25.8, p = 0.02) remained as significant predictors of EI. FFM and skeletal muscle mass also predicted dietary protein and fat intake (p < 0.05), but not carbohydrate intake. In conclusion, with skeletal muscle mass being the best predictor of EI, our results support the hypothesis that the magnitude of the body’s lean tissue is related to absolute levels of EI in a sample of inactive adolescents with obesity.

scholarly journals Cutoff values for appendicular skeletal muscle mass and strength in relation to fear of falling among Brazilian older adults: cross-sectional study

2017 ◽  
Vol 135 (5) ◽  
pp. 434-443 ◽  
Author(s):  
Ricardo Aurélio Carvalho Sampaio ◽  
Priscila Yukari Sewo Sampaio ◽  
Luz Albany Arcila Castaño ◽  
João Francisco Barbieri ◽  
Hélio José Coelho Júnior ◽  
...  
Keyword(s):  
Older Adults ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Fear Of Falling ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Body composition as a predictor of sunitinib toxicity in patients with renal cell carcinoma.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e15566-e15566
Author(s):  
Samantha Cushen ◽  
Aoife M Ryan ◽  
MinYuen Teo ◽  
Peter MacEneaney ◽  
Patrick McLaughlin ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Renal Cell ◽  
Skeletal Muscle Mass ◽  
Cell Cancer ◽  
Drug Dose ◽  
Fat Free Mass ◽  
Cross Sectional ◽  
Overweight Group

e15566 Background: Sunitinib is a standard first-line option for metastatic renal cell cancer (mRCC). Identification of biomarkers associated with outcome or toxicity is a challenge. Body composition is a prognostic factor in cancer and sarcopenia is associated with treatment toxicity and survival. We investigated if body composition by CT scan predicted dose limiting toxicity (DLT) from sunitinib in mRCC. Methods: Patients (pts) with mRCC receiving sunitinib 50mg as 1stline therapy between 2007-2012 were included. Ethical approval was obtained and prospectively maintained databases analysed. Skeletal muscle cross-sectional area at L3 was measured by CT. Sarcopenia was defined using published cut offs. Toxicity was assessed after 4 cycles of drug (CTCAE, v4.0). Results: 55 pts (43 male), mean age 64yrs (±10.6) were included. 67% were overweight/obese (BMI>25kg/m2). Sarcopenia was present in 33% (56% of normal BMI, 44% overweight group). Overall 40 pts (73%) experienced DLT (51% M, 100% F, p<0.016). DLT occurred in <6 months in 53% (44% M vs 83% F, p<0.016) and these pts were older (mean 68 yrs vs 60 yrs, p<0.01), had lower skeletal muscle mass (51.8 cm2/m2 vs 59.4 cm2/m2, p<0.012), and fat free mass (FFM) (51.4kg vs 57.7kg, p<0.03), and received higher drug dose in mg/kg FFM (1.01 vs 0.89, p<0.02). Common toxicities were GI (65%) and fatigue (47%). Of pts <25th percentile skeletal muscle mass 92% experienced DLT, higher than pts >75th percentile (p<0.05). Pts <25th percentile had an average of 5 toxicities vs 2 in those >75th percentile (p<0.003). All toxicities were more common in muscle wasted patients (p<0.05). 77% (n=10) of pts receiving a drug dose >75th percentile (1.105mg/FFM) experienced DLT in <6 months vs 44% (n=17) receiving a dose <75thpercentile (<1.099mg/FFM; p<0.037). Conclusions: Sarcopenia is prevalent in patients with mRCC, is easily measured, is an occult condition in pts with normal/high BMI, and is a significant predictor of DLT in pts receiving 1st line sunitinib. Our results highlight the potential use of baseline body composition to predict toxicity. The role of sarcopenia in targeted therapy is evolving and its potential to predict toxicity should be further studied.

Fat mass and skeletal muscle mass in hip-fracture women: A cross-sectional study

Maturitas ◽  
2007 ◽  
Vol 56 (4) ◽  
pp. 404-410 ◽  
Author(s):  
Marco Di Monaco ◽  
Fulvia Vallero ◽  
Roberto Di Monaco ◽  
Rosa Tappero ◽  
Alberto Cavanna
Keyword(s):  
Skeletal Muscle ◽  
Hip Fracture ◽  
Muscle Mass ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals AB0251 SARCOPENIA IN MOROCCAN POPULATION WITH RHEUMATOID ARTHRITIS: PREVALENCE AND PREDICTIVE FACTORS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1425.2-1425
Author(s):  
E. Jalila ◽  
H. Azzouzi ◽  
I. Linda
Keyword(s):  
Rheumatoid Arthritis ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Cross Sectional Study ◽  
Whole Body ◽  
Sectional Study ◽  
Mineral Density ◽  
Cross Sectional ◽  
Lean Muscle Mass

Background:Patients with rheumatoid arthritis (RA) were at risk for altered body composition with higher prevalence of sarcopenia compared to the general population. Low lean muscle mass may constitute an additional risk factor for altered bone density in RA patients.Objectives:We aimed to study the prevalence of sarcopenia and to assess its predictive factors in Moroccan patients with RA.Methods:We conducted a cross-sectional study over two months in our department of rheumatology. All RA patients fulfilled ACR/EULAR 2010 criteria. We performed a whole-body dual-energy X-ray absorptiometry (DXA) to measure lean mass, fat mass and bone mass in the whole body and body parts. The appendicular skeletal muscle mass was assessed using the sum of skeletal muscle mass in the arms and legs. The relative skeletal muscle mass index (RSMI) was calculated from the appendicular skeletal mass divided by the square of the patient’s height (kg/m2). According to Baumgartner et al, sarcopenia was defined as a relative SMI <5.5 kg/m2on women and <7.26 kg/m2on men. Body mass index (BMI) was measured and patients were classified according to World Health Organization. Disease activity and functional disability were measured using the 28-joint Disease Activity Score (DAS28) with CRP and the Health Assessment Questionnaire (HAQ). Comorbidities and medication use including corticosteroids were also recorded. Data was entered and processed using the IBM SPSS Statistics 20. A univariate analysis as well as multivariate regressions were carried out to assess the association between sarcopenia and lumbar spine and femoral neck (FN) bone mineral density (BMD) and RA characteristics.Results:We included 70 (87.5%) women and 10 (12.5%) men with a mean age of 53.59 ±10.96 years old. They had a mean disease duration of 12.35± 8.68, a mean DAS 28 CRP of 2.64±1.34, a mean HAQ of 0.94±0.63 and a mean RSMI of 5.75±1.17. Women had a mean RSMI of 6.33±1.04 while men had a mean RSMI of 5.66±1.17. The prevalence of sarcopenia in our population was 47.4% (37), of whom 81.1% (30) women.In univariate regression analysis, sarcopenia was associated with normal BMI (OR: 8.59, 95% CI [3.054-24.182], p= 0.000), DAS 28 CRP (OR: 1.78, 95% CI [1.203-2.657], p= 0.004), HAQ (OR: 2.15, 95% CI [1.165-5.433], p= 0.019), lumbar spine BMD (OR: 0.001, 95% CI [0.00001-0.043], p= 0.0004) and FN BMD (OR: 0.000006, 95% CI [0.000-0.002], p= 0,00008 at right FN and OR: 0.00009, 95% CI [0.000001-0.010], p=0.000 at left FN, respectively).In multiple regression analysis, sarcopenia was associated with normal BMI (OR: 11.56, 95% CI [2.754–48.598]), p=0.001 and FN BMD (OR: 0.00, 95% CI [0.000–0.084], p = 0.006).Conclusion:In the present study, sarcopenia was common among RA patients and associated with normal BMI and femoral neck BMD, emphasizing the importance of this modifiable risk factor. Further studies are needed to identify effective means to improve lean muscle mass in patients with RA.References:[1]Mochizuki T et al. Sarcopenia-associated factors in Japanese patients with rheumatoid arthritis: A cross-sectional study. Geriatr. Gerontol. Int. 2019;19 (9), 907-912[2]Okano T et al. Loss of lean body mass affects low bone mineral density in patients with rheumatoid arthritis -results from the TOMORROW study-, Modern Rheumatology. 2017;27(6):1-19.[4]Peggy M. Cawthon. Assessment of Lean Mass and Physical Performance in Sarcopenia. Journal of Clinical Densitometry. 2015;18(4):467-71.Disclosure of Interests:None declared

scholarly journals Normalizing calf circumference to identify low skeletal muscle mass in older women: a cross-sectional study

2021 ◽  
Author(s):  
Pedro Pugliesi Abdalla ◽  
Ana Cláudia Rossini Venturini ◽  
André Pereira dos Santos ◽  
Marcio Tasinafo ◽  
José Augusto Gonçalves Marini ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Older Women ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Cross Sectional Study ◽  
Calf Circumference ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Nutrient patterns and the skeletal muscle mass index among Polish women: a cross-sectional study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Anna Danielewicz ◽  
Jakub Morze ◽  
Małgorzata Obara-Gołębiowska ◽  
Mariusz Przybyłowicz ◽  
Katarzyna E. Przybyłowicz
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Fibre Plant ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Nutrient Patterns ◽  
Skeletal Muscle Mass Index

AbstractAgeing involves significant changes in skeletal muscle mass and its functioning. This study aimed to identify the major nutrient patterns (NPs) present in a sample of adult Polish women and evaluate their associations with the skeletal muscle mass index (SMI). A cross-sectional study initially recruited 527 women, and a final analysis was carried out on 275 women aged 32–60 years. Nutrient intake was assessed using fourteen repetitions of 24-hour dietary recall. NPs were derived using principal component analysis. Associations between adherence to NPs and the SMI were evaluated using linear regression models. Three NPs were identified: ‘Animal Protein-Vitamins’, ‘Fibre-Plant Protein-Minerals’ and ‘Fats’. In the adjusted model, the upper tertile compared to the bottom tertile of the ‘Animal Protein-Vitamins’ NP was related to a higher SMI (β = 0.123 95% CI: 0.019; 0.227; P for 1-SD increase of NP score = 0.009). No associations between the SMI and the ‘Fibre-Plant Protein-Minerals’ and ‘Fats’ NPs were observed. Our results indicate that high adherence to animal product-rich patterns might be related to higher muscle mass in adult women. Research on the influence of dietary and nutrient patterns on the quality of muscle tissue may contribute to the setting of guidelines for nutritional protection of skeletal muscle with ageing and, consequently, dietary recommendations that would improve the quality of women’s lives at the later stage of life.

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