Skeletal muscle loss and body composition in progressive supranuclear palsy: A retrospective cross-sectional study

Introduction Skeletal muscle mass loss has been associated with decreased physical performance; however, the body composition characteristics in progressive supranuclear palsy (PSP) are not well understood. We investigated body composition parameters, focusing on skeletal muscle mass, in patients with PSP and compared them with those of healthy older adults. Methods This retrospective cross-sectional study included 39 patients with PSP and 30 healthy older adults (control group). Using a multi-frequency bioelectrical impedance analysis, we measured the skeletal mass index (SMI), basal metabolism, extracellular water/total body water ratio (ECW/TBW), and body fat percentage and examined the relationship between SMI and age, body mass index (BMI) and other body composition parameters. Results The PSP group had a higher rate of low muscle mass (56.4%) than the control group (10.0%), although the ages and BMIs were similar. The leg SMI was lower for the PSP group, while the ECW/TBW was higher for the PSP group. The basal metabolism was lower for the PSP group than for the controls but only in the women. The basal metabolism and BMI showed a significant correlation with SMI in the PSP group. There was a significant correlation between SMI and age, ECW/TBW, and body fat percentage in the PSP group but only in the women. Conclusion This study is the first to show that a high proportion of patients with PSP have low muscle mass. We showed differences in terms of sex in muscle mass loss in women with PSP, which was associated with inactivity and aging.

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Abnormal body composition in patients with adrenal adenomas

Acta Endocrinologica ◽

10.1530/eje-21-0458 ◽

2021 ◽

Author(s):

Danae Delivanis ◽

Maria Daniela Hurtado Andrade ◽

Tiffany Cortes ◽

Shobana Athimulam ◽

Aakanksha Khanna ◽

...

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Muscle Mass ◽

Visceral Fat ◽

Cushing Syndrome ◽

Cross Sectional Study ◽

Cortisol Secretion ◽

Muscle Area ◽

Cross Sectional ◽

Skeletal Muscle Area

Objective: Increased visceral fat and sarcopenia are cardiovascular risk factors that may explain increased cardiovascular morbidity and frailty in patients with adrenal adenomas. Our objective was to compare body composition measurement of patients with adrenal adenomas to referent subjects without adrenal disease Design: Cross-sectional study, 2014-2018 Methods: Participants were adults with nonfunctioning adrenal tumor (NFAT), mild autonomous cortisol secretion (MACS) and Cushing syndrome (CS), and age, sex and body mass index 1:1 matched referent subjects without adrenal disorders. Main outcome measures were body composition measurements calculated from abdominal computed tomography imaging. Intraabdominal adipose tissue and muscle mass measurements were performed at the 3rd lumbar spine level. Results: Of 227 patients with adrenal adenomas, 20 were diagnosed with CS, 76 with MACS and 131 with NFAT. Median age was 56 years (range, 18-89), and 67% were women. When compared to referent subjects, patients with CS, MACS, and NFAT demonstrated a higher visceral fat (odds ratio (OR) of 2.2 [95% CI 0.9-6.5], 2.0 [1.3-3.2], and 1.8 [1.2-2.7] and a lower skeletal muscle area (OR of 0.01 [95% CI 0-0.09], 0.31 [0.18-0.49], and 0.3 [1.2-2.7]), respectively. For every 1 mcg/dL cortisol increase after overnight dexamethasone, visceral fat/muscle area ratio increased by 2.3 (P=0.02) and mean total skeletal muscle area decreased by 2.2cm2 (P=0.03). Conclusion: Patients with adrenal adenomas demonstrate a lower muscle mass and a higher proportion of visceral fat when compared to referent subjects, including patients with NFAT. Even a subtle abnormality in cortisol secretion may impact health of patients with adenomas.

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

10.21203/rs.3.rs-154683/v1 ◽

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.

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

10.21203/rs.3.rs-122982/v1 ◽

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.

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Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?

Children ◽

10.3390/children8060460 ◽

2021 ◽

Vol 8 (6) ◽

pp. 460

Author(s):

Chih-Yu Hsu ◽

Liang-Sien Chen ◽

I-Jen Chang ◽

Wei-Ching Fang ◽

Sun-Weng Huang ◽

...

Keyword(s):

Body Composition ◽

Physical Fitness ◽

Cross Sectional Study ◽

Continuous Variables ◽

Z Score ◽

Fat Percentage ◽

Anthropometric Measures ◽

Muscle Weight ◽

Cross Sectional ◽

School Aged Children

Physical fitness (PF) is closely related to various health outcomes and quality of life among children. However, the associations between anthropometry, body composition (BC), and PF are not fully elucidated. This cross-sectional study aimed to investigate the associations between demographic metrics (age, sex), anthropometric measures (body mass index z-score (BMI z-score) waist/height ratio (WHtR)), BC parameters (body-fat percentage (BF%), muscle weight), and PF levels (800-m run, sit-and-reach, 1-min sit-ups, standing long jump) in school-aged children. Continuous variables were dichotomized by median splits. The results of 180 girls and 180 boys (mean age: 10.0 ± 0.7 years; mean BMI z-score: 0.366 ± 1.216) were analyzed. Multivariable linear regressions revealed that BF% (regression coefficient (B) = 3.4, 95% confidence interval (CI) = 2.5–4.3) was independently correlated with the 800-m run. Sex (B = 4.6, 95% CI = 3.0–6.3), age (B = 3.1, 95% CI = 1.9–4.3), and BMI z-score (B = −0.7, 95% CI = −1.4–−0.1) were independently related to sit-and-reach. Age (B = 3.3, 95% CI = 2.0–4.7), BF% (B = −0.3, 95% CI = −0.4–−0.2), and muscle weight (B = 0.7, 95% CI = 0.2–1.2) were independently associated with 1-min sit-ups. In addition to demography, anthropometry and BC provided additional information concerning some PF levels in school-aged children. Weight management and PF promotion should be addressed simultaneously in terms of preventive medicine and health promotion for children.

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

Applied Physiology Nutrition and Metabolism ◽

10.1139/apnm-2015-0479 ◽

2016 ◽

Vol 41 (6) ◽

pp. 611-617 ◽

Cited By ~ 37

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.

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

Sao Paulo Medical Journal ◽

10.1590/1516-3180.2017.0049030517 ◽

2017 ◽

Vol 135 (5) ◽

pp. 434-443 ◽

Cited By ~ 5

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

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Association between objectively measured body composition, sleep parameters and physical activity in preschool children: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2020-042669 ◽

2021 ◽

Vol 11 (1) ◽

pp. e042669

Author(s):

Justyna Wyszyńska ◽

Piotr Matłosz ◽

Muhammad Asif ◽

Agnieszka Szybisty ◽

Paweł Lenik ◽

...

Keyword(s):

Physical Activity ◽

Body Composition ◽

Preschool Children ◽

Muscle Mass ◽

Sleep Duration ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Sleep Parameters ◽

Objectively Measured

ObjectiveAssociations between self-reported sleep duration and obesity indices in children are well recognised; however, there are no studies on associations between objectively measured other sleep parameters and physical activity with body composition in preschoolers. Therefore, the aim of this study was to determine the associations between sleep parameters and moderate-to-vigorous physical activity (MVPA) with body composition indices in preschoolers using objective measures.DesignA cross-sectional study.ParticipantsThe study group consisted of 676 children aged 5–6 years, who were enrolled in kindergartens in the 2017/2018 school year.Outcome measuresSleep parameters and MVPA were measured using accelerometers for 7 days. Bioelectrical impedance analysis was used to estimate body composition.ResultsSleep duration and sleep efficiency were inversely associated with body fat percentage (BFP) (β=−0.013 and β from –0.311 to −0.359, respectively) and body mass index (BMI) (β from −0.005 to −0.006 and from −0.105 to –0.121, respectively), and directly associated with fat-free mass (FFM) (β from 0.010 to 0.011 and from 0.245 to 0.271, respectively) and muscle mass (β from 0.012 to 0.012 and from 0.277 to 0.307, respectively) in unadjusted and adjusted models. BFP was inversely associated with MVPA and positively associated with number of awakenings and sleep periods. Number of sleep periods was inversely associated with FFM, and positively with BMI and muscle mass. Correlation matrix indicated significant correlation between BFP, FFM and muscle mass with sleep duration, sleep efficiency, number of sleep periods and MVPA.ConclusionsPeriodic assessment of sleep parameters and MVPA in relation to body composition in preschool children may be considered, especially in those who are at risk for obesity.

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Prevalence of Sarcopenia and Association with Lifestyle Patterns in Patients with Type 2 Diabetes Mellitus (P01-025-19)

Current Developments in Nutrition ◽

10.1093/cdn/nzz028.p01-025-19 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

Author(s):

Tatiana de Paula ◽

Mauren de Freitas ◽

Vanessa Lopes ◽

Maria Elisa Miller ◽

Karen Araujo ◽

...

Keyword(s):

Type 2 Diabetes ◽

Skeletal Muscle ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Meta Analysis ◽

Cross Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

Type 2 Dm

Abstract Objectives The aim of the study was to establish the prevalence of sarcopenia and associated factors in elderly with type 2 diabetes (DM) in southern Brazil. Methods A cross-sectional study was performed in 240 patients with type 2 DM. The diagnosis of sarcopenia was performed according to EWGSOP criteria. Muscle mass was calculated by skeletal muscle mass index (appendicular skeletal muscle mass/height² - Inbody® bioimpendance). Muscle strength was assessed by manual grip strength (Jamar® dynamometer) and physical performance was assessed by the sit and lift test. Patients with type 2 DM with age ≥60 years and with the ability to ambulate were selected. Patients with recent cardiovascular events, serum creatinine >2.0 mg/dl, use of corticosteroids and BMI >40 kg/m² were excluded. The sample size was 240 patients based on meta-analysis who found 17% sarcopenia in elderly patients without DM. Results We included 240 patients aged 68.4 ± 5.5 years, 53.2% were women and the duration of DM was 15 (8–22) years, the BMI was 29.4 ± 4.4 kg/m². The prevalence of sarcopenia was 21% and men had more sarcopenia (75%). Patients with sarcopenia walk less [3541 (2227–4574) vs. 4521 (3037–5678) steps, P = 0.013], drink more alcohol [21 (56.8%) vs. 71 (31.8%); P < 0.034] and have lower total cholesterol levels [146 ± 41 Vs. 168 ± 43; P = 0.007] than the group without sarcopenia. In multivariate logistic regression models, walking < 3760 steps [OR = 2868; CI 95% 1.331–6.181] and male [OR = 5285; CI 95% 2261–12,350], were associated with sarcopenia. Conclusions The prevalence of sarcopenia was 21%, higher than in patients without diabetes (17%). In this group of patients, lower physical activity, and male sex were associated with sarcopenia. Funding Sources FIPE n. 160467; CAPES.

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

Journal of Clinical Oncology ◽

10.1200/jco.2013.31.15_suppl.e15566 ◽

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.

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