Abstract P052: Less Appendicular Lean Mass Adjusted For Body Mass Index Is Associated With Higher Incident Diabetes In Middle-aged Adults In The CARDIA Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Melanie S Haines ◽  
Aaron Leong ◽  
Bianca Porneala ◽  
Victor W Zhong ◽  
Cora E Lewis ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Mass Index ◽  
Muscle Mass ◽  
Lean Mass ◽  
Skeletal Muscle Mass ◽  
Middle Age ◽  
Incident Diabetes ◽  
Middle Aged ◽  
Black And White ◽  
White Adults

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.

scholarly journals Gender-Specific Associations between Low Skeletal Muscle Mass and Albuminuria in the Middle-Aged and Elderly Population

2017 ◽  
Vol 14 (11) ◽  
pp. 1054-1064 ◽  
Author(s):  
Hye Eun Yoon ◽  
Yunju Nam ◽  
Eunjin Kang ◽  
Hyeon Seok Hwang ◽  
Seok Joon Shin ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Elderly Population ◽  
Middle Aged ◽  
Gender Specific

scholarly journals The Appendicular Lean Mass Index Is a Suitable Surrogate for Muscle Mass in Children with Cerebral Palsy

2019 ◽  
Vol 149 (10) ◽  
pp. 1863-1868
Author(s):  
Ibrahim Duran ◽  
Kyriakos Martakis ◽  
Mirko Rehberg ◽  
Christina Stark ◽  
Anne Koy ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Cerebral Palsy ◽  
Muscle Mass ◽  
Lean Mass ◽  
Skeletal Muscle Mass ◽  
Rehabilitation Program ◽  
Appendicular Lean Mass ◽  
Significant Difference ◽  
Children With Cerebral Palsy ◽  
Level I

ABSTRACT Background Densitometrically measured lean body mass (LBM) is often used to quantify skeletal muscle mass in children with cerebral palsy (CP). Since LBM depends on the individual's height, the evaluation of $\frac{{{\rm{LBM}}}}{{heigh{t^2}}}\ $ (lean BMI) is often recommended. However, LBM includes not only skeletal muscle mass but also the mass of skin, internal organs, tendons, and other components. This limitation applies to a far lesser extent to the appendicular lean mass index (LMIapp). Objectives The aim of the study was to evaluate skeletal muscle mass in children with CP using total lean BMI (LMItot) and LMIapp. Methods The present study was a monocentric retrospective analysis of prospectively collected data among children and adolescents with CP participating in a rehabilitation program. In total, 329 children with CP [148 females; Gross Motor Function Classification Scale (GMFCS) I, 32 children; GMFCS II, 73 children; GMFCS III, 133 children; GMFCS IV, 78 children; and GMFCS V, 13 children] were eligible for analysis. The mean age was 12.3 ± 2.75 y. Pediatric reference centiles for age-adjusted LMIapp were generated using data from NHANES 1999–2004. Low skeletal muscle mass was defined as a z score for DXA determined LMItot and LMIapp less than or equal to −2.0. Results The z scores for LMIapp were significantly lower than LMItot in children with CP, GMFCS levels II–V (P < 0.001), with the exception of GMFCS level I (P = 0.121), where no significant difference was found. The prevalence of low LMItot (16.1%; 95% CI: 16.1, 20.1%) was significantly lower (P < 0.001) than the prevalence of LMIapp (42.2%; 95% CI: 36.9, 47.9%) in the study population. Conclusions The prevalence of low skeletal muscle mass in children with CP might be underestimated by LMItot. LMIapp is more suitable for the evaluation of skeletal muscle mass in children with CP.

Total And Regional Skeletal Muscle Mass In Middle-aged And Elderly Japanese Men And Women

2005 ◽  
Vol 37 (Supplement) ◽  
pp. S301
Author(s):  
Taishi Midorikawa ◽  
Takashi Abe ◽  
Kiyoshi Sanada ◽  
Charles F. Kearns ◽  
Tetsuo Fukunaga
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Middle Aged ◽  
Japanese Men ◽  
Men And Women ◽  
Elderly Japanese

scholarly journals High skeletal muscle mass is associated with increased serum 25(OH)D levels in elderly

2017 ◽  
Vol 36 (3) ◽  
pp. 236
Author(s):  
Verawati Sudarma ◽  
Lukman Halim
Keyword(s):  
Skeletal Muscle ◽  
Body Mass Index ◽  
Vitamin D ◽  
Body Composition ◽  
Waist Circumference ◽  
Linear Regression ◽  
Muscle Mass ◽  
Body Fat ◽  
Skeletal Muscle Mass ◽  
Anthropometric Measurements

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.

scholarly journals Relationship between strength and muscle mass in middle-aged and elderly women: a cross-sectional study

2017 ◽  
Vol 20 (5) ◽  
pp. 660-669 ◽  
Author(s):  
Carine Fernandes de Souza ◽  
Mariana Carmem Apolinário Vieira ◽  
Rafaela Andrade do Nascimento ◽  
Mayle Andrade Moreira ◽  
Saionara Maria Aires da Câmara ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Lower Limb ◽  
Skeletal Muscle Mass ◽  
Elderly Women ◽  
Handgrip Strength ◽  
Lower Limb Muscle ◽  
Limb Muscle ◽  
Middle Aged ◽  
Cross Sectional

Abstract Objective: to analyze the relationship between handgrip strength and lower limb strength and the amount of segmental skeletal muscle mass in middle-aged and elderly women. Methods: an observational, cross-sectional, observational study of 540 women aged between 40 and 80 years in the cities of Parnamirim and Santa Cruz, Rio Grande do Norte, was performed. Sociodemographic data, anthropometric measurements, handgrip dynamometry, knee flexors and extensors of the dominant limbs, as well as the segmental muscle mass of the limbs were evaluated. Data were analyzed using Student's t-Test, Chi-square test, Effect Size and Pearson's Correlation (CI 95%). Results: there were statistically significant weak and moderate correlations between handgrip strength and upper limb muscle mass, knee flexion strength and lower limb muscle mass, and between knee extension strength and lower limb muscle mass for the age groups 40-59 years and 60 years or more (p<0.05). Conclusions: muscle strength correlates with skeletal muscle mass. It could therefore be an indicator of the decrease in strength. It is not the only such indicator, however, as correlations were weak and moderate, which suggests the need for more studies on this theme to elucidate which components may also influence the loss of strength with aging.

Abstract 16239: Skeletal Muscle Mass Recovery Early After Left Ventricular Assist Device Implantation in Patients With Advanced Systolic Heart Failure

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Amanda R Vest ◽  
Joronia Chery ◽  
Alexandra Coston ◽  
Laura Telfer ◽  
Matthew Lawrence ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Lean Mass ◽  
Skeletal Muscle Mass ◽  
Muscle Wasting ◽  
Systolic Heart Failure ◽  
Left Ventricular ◽  
Ventricular Assist ◽  
Device Implantation ◽  
Lvad Support

Introduction: Patients with advanced systolic heart failure (HF) are at risk of unintentional weight loss and muscle wasting. It has been observed that left ventricular assist device (LVAD) recipients gain weight after device implantation, although it is unknown whether this represents skeletal muscle or fat mass gains. Hypothesis: We hypothesized that LVAD recipients would gain skeletal muscle mass during the first 6 months of LVAD support. Methods: We prospectively recruited 28 adults with systolic HF ±21 days from LVAD implantation. Participants underwent whole-body dual X-ray absorptiometry (DXA) to calculate fat free mass (FFM, representing all lean mass), appendicular lean mass (ALM, lean mass in the arms and legs) and fat mass (FM). DXA was repeated at 3 and 6 months after LVAD implantation (±14 days), with study participation ending after either the 6 month visit or heart transplantation, whichever occurred first. Paired t-testing and mixed effects models were used to evaluate changes over time each for FFM, ALM and FM. Results: The cohort was 86% (24/28) male, with mean age 56 ±12 years and mean BMI 26.6 ±5.5 kg/m 2 at baseline. The median Intermacs class was 2 and duration of HF 50 months. Per European Working Group on Sarcopenia in Older People (EWGSOP) criteria, 41% of participants had muscle wasting at baseline. There was a significant increase from baseline to 3 months and then 6 months of LVAD support for FFM (Fig 1A; baseline: 56.6 ±11.8 kg, n=27; 3 months: 57.9 ±11.3 kg, n=23; 6 months: 62.7 ±11.1 kg, n=17; p-value for change=0.025) and for ALM (Fig 1B; 22.2 ±5.6 kg; 23.2 ±5.0 kg; 25.4 ± 4.5 kg; p<0.001). There was no increase in FM over the same period (p=0.36). Amongst 22 participants with comparison DXAs, 81% had a ≥5% ALM gain by either 3 or 6 months. Conclusions: Among patients with advanced systolic HF and a high baseline prevalence of muscle wasting, there was a significant gain in skeletal muscle mass, as represented by both FFM and ALM, over the first 6 months of LVAD support.

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