The Role of Muscle Mass, Muscle Quality, and Body Composition in Risk for the Metabolic Syndrome and Functional Decline in Older Adults

2015 ◽  
Vol 4 (3) ◽  
pp. 221-228 ◽  
Author(s):  
Robert T. Mankowski ◽  
Stephen D. Anton ◽  
Mylène Aubertin-Leheudre
Keyword(s):  
Older Adults ◽  
Metabolic Syndrome ◽  
Body Composition ◽  
Muscle Mass ◽  
Functional Decline ◽  
Muscle Quality ◽  
The Metabolic Syndrome

The role of frailty in explaining the association between the metabolic syndrome and mortality in older adults

2017 ◽  
Vol 91 ◽  
pp. 5-8 ◽  
Author(s):  
Emiel O. Hoogendijk ◽  
Martijn Huisman ◽  
Adriana J. van Ballegooijen
Keyword(s):  
Older Adults ◽  
Metabolic Syndrome ◽  
The Metabolic Syndrome

scholarly journals Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health in the PREDIMED-Plus study

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Aina M. Galmes-Panades ◽  
Veronica Varela-Mato ◽  
Jadwiga Konieczna ◽  
Julia Wärnberg ◽  
Miguel Ángel Martínez-González ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Older Adults ◽  
Metabolic Syndrome ◽  
Body Composition ◽  
Waist Circumference ◽  
Biochemical Parameters ◽  
Cross Sectional ◽  
The Metabolic Syndrome ◽  
Time In Bed

Abstract Background This study explored the association between inactive time and measures of adiposity, clinical parameters, obesity, type 2 diabetes and metabolic syndrome components. It further examined the impact of reallocating inactive time to time in bed, light physical activity (LPA) or moderate-to-vigorous physical activity (MVPA) on cardio-metabolic risk factors, including measures of adiposity and body composition, biochemical parameters and blood pressure in older adults. Methods This is a cross-sectional analysis of baseline data from 2189 Caucasian men and women (age 55–75 years, BMI 27–40 Kg/m2) from the PREDIMED-Plus study (http://www.predimedplus.com/). All participants had ≥3 components of the metabolic syndrome. Inactive time, physical activity and time in bed were objectively determined using triaxial accelerometers GENEActiv during 7 days (ActivInsights Ltd., Kimbolton, United Kingdom). Multiple adjusted linear and logistic regression models were used. Isotemporal substitution regression modelling was performed to assess the relationship of replacing the amount of time spent in one activity for another, on each outcome, including measures of adiposity and body composition, biochemical parameters and blood pressure in older adults. Results Inactive time was associated with indicators of obesity and the metabolic syndrome. Reallocating 30 min per day of inactive time to 30 min per day of time in bed was associated with lower BMI, waist circumference and glycated hemoglobin (HbA1c) (all p-values < 0.05). Reallocating 30 min per day of inactive time with 30 min per day of LPA or MVPA was associated with lower BMI, waist circumference, total fat, visceral adipose tissue, HbA1c, glucose, triglycerides, and higher body muscle mass and HDL cholesterol (all p-values < 0.05). Conclusions Inactive time was associated with a poor cardio-metabolic profile. Isotemporal substitution of inactive time with MVPA and LPA or time in bed could have beneficial impact on cardio-metabolic health. Trial registration The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.

Associations of low muscle mass and the metabolic syndrome in Caucasian and Asian middle-aged and older adults

2015 ◽  
Vol 20 (3) ◽  
pp. 248-255 ◽  
Author(s):  
D. Scott ◽  
M. S. Park ◽  
T. N. Kim ◽  
J. Y. Ryu ◽  
H. C. Hong ◽  
...  
Keyword(s):  
Older Adults ◽  
Metabolic Syndrome ◽  
Muscle Mass ◽  
Middle Aged ◽  
The Metabolic Syndrome

scholarly journals Body composition associations with muscle strength in older adults living in Auckland, New Zealand

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250439
Author(s):  
Anne N. Hiol ◽  
Pamela R. von Hurst ◽  
Cathryn A. Conlon ◽  
Owen Mugridge ◽  
Kathryn L. Beck
Keyword(s):  
Older Adults ◽  
Body Composition ◽  
Muscle Strength ◽  
Grip Strength ◽  
Muscle Mass ◽  
Body Fat ◽  
Muscle Quality ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional

Background Aging is associated with decreases in muscle strength and simultaneous changes in body composition, including decreases in muscle mass, muscle quality and increases in adiposity. Methods Adults (n = 369; 236 females) aged 65–74 years living independently were recruited from the cross-sectional Researching Eating Activity and Cognitive Health (REACH) study. Body fat percentage and appendicular skeletal muscle mass (ASM) (sum of lean mass in the arms and legs) were assessed using Dual-energy X-ray Absorptiometry (Hologic, QDR Discovery A). The ASM index was calculated by ASM (kilograms) divided by height (meters) squared. Isometric grip strength was measured using a hand grip strength dynamometer (JAMAR HAND). Results Linear regression analyses revealed that muscle strength was positively associated with the ASM index (R2 = 0.431, p < 0.001). When exploring associations between muscle strength and muscle mass according to obesity classifications (obesity ≥30% males; ≥40% females), muscle mass was a significant predictor of muscle strength in non-obese participants. However, in participants with obesity, muscle mass was no longer a significant predictor of muscle strength. Conclusions Body fat percentage should be considered when measuring associations between muscle mass and muscle strength in older adults.

Role of genetic factors in the development of hypertension in young patients with metabolic syndrome

2020 ◽  
pp. 23-32
Author(s):  
Elena Korneeva ◽  
Mikhail Voevoda ◽  
Sergey Semaev ◽  
Vladimir Maksimov
Keyword(s):  
Metabolic Syndrome ◽  
High Risk ◽  
Arterial Hypertension ◽  
Genetic Factors ◽  
Young Patients ◽  
Integrin Αiibβ3 ◽  
Ace Gene ◽  
The Metabolic Syndrome

Results of the study related to polymorphism of ACE gene (rs1799752)‎, integrin αIIbβ3, and CSK gene (rs1378942) influencing development of arterial hypertension in young patients with metabolic syndrome are presented. Hypertension as a component of the metabolic syndrome was detected in 15.0% of young patients. Prevalence of mutant alleles of the studied genes among the examined patients was quite high, so homozygous DD genotype was found in 21.6%, and mutant D allele of the ACE gene in 47.4%. A high risk of hypertension in patients with MS was detected in carriers of the T allele of the CSK (rs1378942) gene – 54.8%, which was most often observed in a combination of polymorphic ACE and CSK gene loci (p = 0.0053).

The Role of Quinapril in the Presence of a Weight Loss Regimen: Endothelial Function and Markers of Obesity in Patients With the Metabolic Syndrome

2007 ◽  
Vol 10 (4) ◽  
pp. 204-209 ◽  
Author(s):  
Sameer Nagamia ◽  
Anbu Pandian ◽  
Faiz Cheema ◽  
Rama Natarajan ◽  
Qamar A. Khan ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Weight Loss ◽  
Endothelial Function ◽  
The Metabolic Syndrome

PP202-MON FOLLOW-UP ASSESSMENT OF BODY COMPOSITION IN SUBJECTS WITH THE METABOLIC SYNDROME DURING A 6-MONTH ISOCALORIC DIETARY INTERVENTION WITH NORDIC HEALTHY FOODS

2012 ◽  
Vol 7 (1) ◽  
pp. 218
Author(s):  
L. Cloetens ◽  
A. Johansson-Persson ◽  
H. Helgegren ◽  
M. Landin-Olsson ◽  
M. Uusitupa ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Composition ◽  
Dietary Intervention ◽  
Healthy Foods ◽  
The Metabolic Syndrome

Whey protein and vitamin D supplementation in institutionalized older adults: A randomized trial

2021 ◽  
pp. 026010602110606
Author(s):  
Tamy Colonetti ◽  
Antônio Jose Grande ◽  
Franciani Rodrigues da Rocha ◽  
Eduardo Ronconi Dondossola ◽  
Lisiane Tuon ◽  
...  
Keyword(s):  
Older Adults ◽  
Vitamin D ◽  
Body Composition ◽  
Resistance Training ◽  
Whey Protein ◽  
Muscle Mass ◽  
Lean Mass ◽  
Vitamin D Supplementation ◽  
Relative Index ◽  
And Control

Background: The increase in life expectancy and in the number of individuals over 60 years old brings new demands to health professionals and services based on the physiological changes that occur in this population. The aging process results in changes in body composition, increasing body fat and reducing muscle mass, in addition to a reduction in bone mass. Aim: The aim of this study was to examine the effect of whey protein and vitamin D supplementation on body composition and skeletal muscle in older adults living in long-term care facilities. Methods: This study is a double-blind randomized controlled trial. Thirty older adults (>60 years old) were randomized and allocated in three groups: group receiving resistance training and supplementation receiving resistance training, whey protein and vitamin D; group received resistance and placebo training receiving resistance training and placebo, and control group without any intervention. Body composition was measured by dual-energy X-ray absorptiometry at baseline, 12 weeks, and 24 weeks. Results: The mean age was 74.87 (± 8.14) years. A significant difference ( p = 0.042) was observed between the group receiving resistance training and supplementation and control groups in relation to lean mass increase (kg) at 24 weeks. After 24 weeks of intervention, there was a significant increase in Relative index of muscle mass for the two groups that underwent resistance training, group received resistance and placebo training ( p = 0.042) and group receiving resistance training and supplementation ( p = 0.045), in relation to the control. Conclusion: Combined supplementation of whey protein and vitamin D with resistance training can significantly improve lean mass, total mass, and relative index of muscle mass in institutionalized older adults.

The Role of Endocannabinoid System Blockade in the Treatment of the Metabolic Syndrome

2007 ◽  
Vol 47 (5) ◽  
pp. 642-652 ◽  
Author(s):  
Anna I. Kakafika ◽  
Dimitri P. Mikhailidis ◽  
Asterios Karagiannis ◽  
Vasilios G. Athyros
Keyword(s):  
Metabolic Syndrome ◽  
Endocannabinoid System ◽  
The Metabolic Syndrome
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