scholarly journals Associations of Skeletal Muscle Mass and Fat Mass With Incident Cardiovascular Disease and All‐Cause Mortality: A Prospective Cohort Study of UK Biobank Participants

2021 ◽  
Vol 10 (9) ◽  
Author(s):  
Rebecca Knowles ◽  
Jennifer Carter ◽  
Susan A. Jebb ◽  
Derrick Bennett ◽  
Sarah Lewington ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Skeletal Muscle ◽  
Body Mass Index ◽  
Muscle Mass ◽  
Body Mass ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
Uk Biobank ◽  
Cvd Risk ◽  
All Cause Mortality

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.

scholarly journals Skeletal muscle mass in relation to 10 year cardiovascular disease incidence among middle aged and older adults: the ATTICA study

2019 ◽  
Vol 74 (1) ◽  
pp. 26-31 ◽  
Author(s):  
Stefanos Tyrovolas ◽  
Demosthenes Panagiotakos ◽  
Ekavi Georgousopoulou ◽  
Christina Chrysohoou ◽  
Dimitrios Tousoulis ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Disease Incidence ◽  
Population Based ◽  
Cardiometabolic Health ◽  
Inverse Association ◽  
Cvd Risk ◽  
Appendicular Skeletal Muscle

BackgroundSkeletal muscle mass (SMM) is inversely associated with cardiometabolic health and the ageing process. The aim of the present work was to evaluate the relation between SMM and 10 year cardiovascular disease (CVD) incidence, among CVD-free adults 45+ years old.MethodsATTICA is a prospective, population-based study that recruited 3042 adults without pre-existing CVD from the Greek general population (Caucasians; age ≥18 years; 1514 men). The 10 year study follow-up (2011–2012) captured the fatal/non-fatal CVD incidence in 2020 participants (50% men). The working sample consisted of 1019 participants, 45+ years old (men: n=534; women: n=485). A skeletal muscle mass index (SMI) was created to reflect SMM, using appendicular skeletal muscle mass (ASM) standardised by body mass index (BMI). ASM and SMI were calculated with specific indirect population formulas.ResultsThe 10 year CVD incidence increased significantly across the baseline SMI tertiles (p<0.001). Baseline SMM showed a significant inverse association with the 10 year CVD incidence (HR 0.06, 95% CI 0.005 to 0.78), even after adjusting for various confounders. Additionally, participants in the highest SMM tertile had 81% (95% CI 0.04 to 0.85) lower risk for a CVD event as compared with those in the lowest SMM tertile.ConclusionsThe presented findings support the importance of SMM evaluation in the prediction of long-term CVD risk among adults 45+ years old without pre-existing CVD. Preservation of SMM may contribute to CVD health.

scholarly journals Low skeletal muscle mass is associated with the risk of all-cause mortality in patients with type 2 diabetes mellitus

2019 ◽  
Vol 10 ◽  
pp. 204201881984297
Author(s):  
Hitomi Miyake ◽  
Ippei Kanazawa ◽  
Ken-ichiro Tanaka ◽  
Toshitsugu Sugimoto
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Skeletal Muscle ◽  
Type 2 Diabetes Mellitus ◽  
Muscle Mass ◽  
Body Mass ◽  
Skeletal Muscle Mass ◽  
Historical Cohort ◽  
All Cause Mortality

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.

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
Keyword(s):  
Skeletal Muscle ◽  
Body Mass Index ◽  
Muscle Mass ◽  
Body Mass ◽  
Skeletal Muscle Mass

scholarly journals EFFECTS OF A 6-WEEK CONTROLED EXERCISE PROGRAM AND SEMI-CONTROLED DIET ON BODY FAT AND SKELETAL MUSCLE MASS IN ADULTS

2019 ◽  
Vol 19 (1) ◽  
pp. 7-14 ◽  
Author(s):  
F Kukić ◽  
N Todorović ◽  
N Cvijanović
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Skeletal Muscle Mass ◽  
Body Height ◽  
Exercise Program ◽  
Body Fat Mass ◽  
Dietary Regimen

Aim. To investigate the effects of a 6-week of controlled exercise program followed by a semi-controlled dietary regimen on indicators of body fat mass (BF) and skeletal muscle mass (SMM) of adults. Materials and methods. The sample consisted of 28 particpants with the main characteristics of the sample being: age = 29.70 ± 8.35 years, body height (BH) = 177.35 ± 9.36 cm, and body mass (BM) = 105.20 ± 27.06 kg. Body composition parameters, BM, body fat mass (BF), trunk fat (TF), skeletal muscle mass (SMM), percent of body fat (PBF), percent of skeletal muscle mass (PSMM), body mass index (BMI), and index of hypokinesia (IH) were collected before and after six weeks of exercise program and semi-controlled diet regimen. A Paired sample T-test and effect size (ES) were used to determine the effects and their magnitude of the treatment applied. Results. A 6-week treatment significantly affected investigated variables, wherein BF (–6.75 kg, p < 0.001), TF (–3.28 kg, p < 0.001), and SMM (–0.91 kg, p = 0.003) tissue decreased in a different degree, leading to a small but highly significant increase in PSMM (2.60 %, p < 0.001). A decrease in BF and SMM resulted in a significant reduction in BMI, while IH decreased in a smaller degree than BMI because PBF and PSMM changed inversely. Conclusion. Six weeks of a controlled exercise program 3 times/week and semi-controlled diet is an effective approach to the reduction of BM, BF, and TF and to increasing the movement potential by changing the proportions of PBF and PSMM.

scholarly journals Impact of overweight and obesity on mortality in older adults: results of a nine-year prospective the CRYSTAL study

2021 ◽  
pp. 44-52
Author(s):  
A. V. Turusheva ◽  
E. V. Frolova
Keyword(s):  
Older Adults ◽  
Skeletal Muscle ◽  
Body Mass Index ◽  
Nutritional Status ◽  
Functional Status ◽  
Muscle Mass ◽  
Lower Risk ◽  
Skeletal Muscle Mass ◽  
All Cause Mortality

Abstract Introduction. Recently studies showed that a persons aged 65 years and older with body mass index (BMI) ≥ 25 kg/ m2 have the same or lower risk of mortality than older adults with a normal BMI.Objective: to investigate the relationship between baseline body mass index (BMI), total skeletal muscle mass (SMM), muscle strength and all-cause mortality in the Russian population.Methods. The Crystal study is a prospective cohort study of a random sample of people aged 65 years and older.The total follow-up period was 9 years. Main parameters: BMI, nutritional status, anemia, C-reactive protein, skeletal muscle mass (SMM), functional status, depression, dementia and non-communicable diseases.Results. Participants with BMI ≥ 25 kg/m2 had a 34,6% lower risk of all-cause mortality during 5 years of follow-up and a 36,8% lower risk during 9 years of follow-up, regardless of nutritional status, chronic comorbidities, and functional status. This association was linked with higher SMM in participants with BMI ≥ 25 kg/m2. After adjusting for all our covariates, higher SMM, but not BMI, was associated with a 7,4% decrease in mortality during the 5-year follow-up.Conclusion. It is necessary to consider qualitative indicators of body composition, such as SMM and fat percentage during assessing the impact of BMI on mortality. The higher SMM is an independent factor associated with a 7,4% decreasing the risk of all-cause mortality over 5 years of follow-up in the population of people aged 65 years and older.

Effects of a resistance training community programme in older adults

2021 ◽  
pp. 1-16
Author(s):  
Majid Mufaqam Syed-Abdul ◽  
Chrissa L. McClellan ◽  
Elizabeth J. Parks ◽  
Stephen D. Ball
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Resistance Training ◽  
Muscle Mass ◽  
Body Mass ◽  
Fat Mass ◽  
Training Programme ◽  
Haemoglobin A1c ◽  
Community Based ◽  
Resistance Training Programme

Abstract Ageing is associated with reduced muscle mass, strength, flexibility and balance, resulting in a poor quality of life (QOL). Past studies have occurred in highly controlled laboratory settings which provide strong support to determine whether similar gains can be made in community programmes. Twenty participants were enrolled in an eight-week community-based resistance training programme (mean age = 61.3 (standard error (SE) = 0.9) years); Body Mass Index = 32.0 (SE = 1.3) kg/m2). All participants completed surveys to assess outcomes associated with QOL. Given the relationship between muscle function and nerve health, nerve conduction studies (NCS) were also conducted in a separate group of participants (mean age = 64.9 (SE = 2.0) years; Body Mass Index = 32.6 (SE = 1.9) kg/m2). This community-based training programme significantly improved QOL measures in older adults (p < 0.001). Although weight loss was not the primary outcome of the study, participants reduced their body weights (p < 0.001), by primarily reducing fat mass (p = 0.007) while maintaining muscle mass. Significant improvements were observed in muscle strength (2.2%), flexibility and balance (3.2–464.2%, p ⩽ 0.05 for all). Improvements were also observed in plasma glucose (p = 0.05), haemoglobin A1C (p = 0.06) and aldolase enzyme levels (p < 0.001). Scores for surveys on memory and sleep improved (p < 0.05). Improved QOL was associated with increased lean mass (r = −0.714, p = 0.002), decreased fat mass (r = −0.702, p = 0.003) and improved flexibility and balance (r = −0.627, p = 0.008). An eight-week, community-based resistance training programme significantly improved QOL in older adults. Influence on the lipid profile and NCS still needs further investigation.

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