Nutritional status and body fat mass: Determinants of sarcopenia in community-dwelling older adults

Nasimi, Nasrin; Dabbaghmanesh, Mohammad Hossein; Sohrabi, Zahra

doi:10.1016/j.exger.2019.04.009

Cited by 61 publications

(58 citation statements)

References 43 publications

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“…Sarcopenia has been used as a predictor of prognosis of various treatment modalities and morbidity and mortality as well [27][28][29] . A low BMI with high body fat percentage is likely to result in negative life prognosis 30,31 . In addition, Table 6.…”

Section: Discussionmentioning

confidence: 99%

“…Sarcopenia has been used as a predictor of prognosis of various treatment modalities and morbidity and mortality as well[ 27 ]–[ 29 ]. A low BMI with high body fat percentage is likely to result in negative life prognosis[ 30 , 31 ]. In addition, many studies have reported association of lean muscle mass reduction with poor outcomes in malignancy[ 32 , 33 ].…”

Section: Discussionmentioning

confidence: 99%

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Prevalence and associated factors of sarcopenia among patients underwent abdominal CT scan in Tertiary Care Hospital of South India

Sreepriya

Pillai

Nair

et al. 2020

JFSF

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The term sarcopenia is derived from the Greek meaning 'poverty of flesh' and is characterized by the progressive loss of skeletal muscle mass, muscle strength, and physical performance. This term was first coined by I.H. Rosenberg to denote "ageing related loss of skeletal muscle mass and strength" 1. Sarcopenia has a biological component with the genes involved in skeletal muscle mitochondrial function, oxidative capacity, and glucose uptake showing reduced expression with ageing 2. It affects women and men equally, starting from the fourth decade and accelerating from the 6 th decade 3. It was originally described in the elderly population, and is often now defined as a geriatric syndrome associated with functional impairment, increased risk of falls, fractures, and reduced survival. Sarcopenia has been found to be a predictor of chronic disease progression, poorer functional outcomes, and postoperative complications (both infections and noninfectious complications) 4. Standardization of sarcopenia assessment, especially in diagnosis of low muscle mass, will be crucial for clinical practice and interventions in the future. Dual energy X-ray absorptiometry (DEXA), bioelectrical impedance analysis Abstract Objective: To estimate the proportion of radiologically significant (LSMI) sarcopenia and the factors associated with it among patients undergoing Computerized Tomography scan. Methods: A Cross sectional study was conducted among 152 patients underwent CT scan in the radiology department of Government medical college Thiruvananthapuram. Sarcopenia was estimated based on lumbar skeletal muscle index obtained using cross sectional areas of various abdominal muscles by CT scan. The proportion of sarcopenia was estimated and associated factors studied. Binary logistic regression model was used to adjust the confounders. Results: Out of 152 individuals, sarcopenia was present in a total of 82 (53.95%) individuals. Male gender (Adjusted OR= 8.42, 3.64-19.52 (95% CI)) was a risk factor for and a body mass index more than 25Kg/m 2 (Adjusted OR= 0.36, 0.15-0.67 (95% CI)) was a protective factor against sarcopenia. Conclusion: The burden of sarcopenia is found to be high and considering the double burden of sarcopenia and obesity in the Kerala community, newer strategies for health promotion and early detection need to be developed.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Prevalence and associated factors of sarcopenia among patients underwent abdominal CT scan in Tertiary Care Hospital of South India

Sreepriya

Pillai

Nair

et al. 2020

JFSF

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“…Our findings suggest that the assessment of anthropometric indexes such as BMI needs special consideration for the older population. Sarcopenia in older adults presents a lower BMI compared to obesity in older adults despite a higher body fat percentage [ 22 ], and this incorrect information could induce the misleading of evaluation and treatment, especially sarcopenic obesity in older adults. Moreover, BMI cannot provide accurate body composition data such as fat and muscle.…”

Section: Discussionmentioning

confidence: 99%

Comparisons of Muscle Quality and Muscle Growth Factor Between Sarcopenic and Non-Sarcopenic Older Women

Seo

Jung

Kim

et al. 2020

IJERPH

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Sarcopenia, an age-related disease, is one of the important health problems in the elderly and the prevalence of sarcopenia is rapidly increased among the Korean population. This study examined the muscle quality and muscle growth factors of elderly women to identify the potential diagnostic tool for sarcopenia. One hundred and thirty-six elderly women, aged over 65 years old, initially enrolled, but only 59 participants who met the criteria (sarcopenic group, n = 27; non-sarcopenic group, n = 32) completed the study. Muscle quality assessment included thigh cross-sectional computed tomography scan and maximal isometric muscle strength. Muscle growth factors such as GDF-15, myostatin, activin A, and follistatin were analyzed, and a battery of Senior Fitness Test was used to examine functional fitness. The statistical significance level was set at 0.05. Elderly women with sarcopenia had a lower thigh muscle volume (−20.1%), and a higher thigh intermuscular adipose tissue (15.8%) than those of the non-sarcopenic group (p < 0.05). However, no significant differences in muscle growth factors were observed between the groups. Muscle quality variables including maximal voluntary isometric contraction (OR: 0.968, p < 0.001), relative maximal voluntary isometric contraction (OR: 0.989, p < 0.05), thigh muscle volume (OR: 0.836, p < 0.001), and thigh intermuscular adipose tissue (OR: 1.138, p < 0.05) were associated with a risk of sarcopenia. Our findings suggest that the sarcopenic group exhibits a poor thigh muscle quality in comparison with the non-sarcopenic group. Muscle quality assessment can be utilized for sarcopenia identification, but our study remains inconclusive for the causality of muscle growth factors in sarcopenia.

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“…The current study was approved by the Ethics local committee of Shiraz University of Medical Sciences (Shiraz, Iran) and have therefore been executed in accordance with the ethical standards Declaration of Helsinki (as revised in Brazil 2013). The present study was a subgroup of the cross-sectional, populationbased study (from August 2017 to February 2018) used for evaluating the prevalence of sarcopenia and its determinants among Iranian old subjects which described previously (6). Brie y, 501 older adults were chosen by clustered, strati ed, multistage sampling based on geographical locations.…”

Section: Study Populationmentioning

confidence: 99%

“…Serum samples were collected two Eppendorf tubes, and stored at − 70 °C. Biochemical assessments were described previously (6). Brie y, serum albumin, BUN, creatinine, Fasting Blood Sugar (FBS), and lipid pro le (Triglyceride (TG), Low-Density Lipoprotein (LDL), High-Density Lipoprotein (HDL), and total cholesterol), were assessed by calorimetric assays using Biosystem SA auto-chemistry analyzer (DIRUI CS-T240, Spain).…”

Section: Biochemical Measurementsmentioning

confidence: 99%

The Association Between TP53 rs1625895 Polymorphism and the Risk of Sarcopenic Obesity in Iranian Older Adults: A Case-Control Study

Montazeri-Najababady

Dabbaghmanesh

Nasimi

et al. 2020

Preprint

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Background: Aging and obesity are the two major global health concerns. Sarcopenia, an age-linked disease, wherein a progressive loss of muscle volume, muscle strength, and physical activity occurs. In this study we evaluated the association of TP53 rs1625895 polymorphism with the susceptibility to sarcopenic obesity in Iranian old-age subjects. Total of 206 old individuals (45 sarcopenic and 161 non-sarcopenic) were recruited in this research and genotyped by PCR–RFLP. BMI, Skeletal Muscle Mass Index (SMI), body composition, Handgrip Strength (HGS), Gait Speed (GS), and biochemical parameters were measured. Chi-square test was done for genotypes and alleles frequency. Linear regression was applied to find the correlation between TP53 rs1625895 polymorphism, and biochemical and anthropometric parameters. The correlation between TP53 rs1625895 and the risk of sarcopenia and sarcopenic obesity was investigated by logistic regression.Results: G allele was significantly higher in sarcopenic obesity group [P =0.037, OR (CI 95%)=1.9 (1.03-3.5)] compared to A allele. BMI (P= 0.049) and LDL (P=0.04) were significantly differed between genotypes when GG was compared to AA/AG genotype. The results revealed when GG genotype compared to AA/AG genotype in adjusted model for age, the risk of sarcopenic obesity [P value= 0.011, OR (CI 95%); 2.72 (1.25-5.91)] increased. Similarly, GG/AG genotype increased the risk of sarcopenic obesity [P value= 0.028, OR (CI 95%); 2.43 (1.10-5.36)] in adjusted model for age compared to AA genotype.Conclusion: We concluded that TP53 rs1625895 polymorphism may increase the risk of sarcopenic obesity in Iranian population.

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Nutritional status and body fat mass: Determinants of sarcopenia in community-dwelling older adults

Cited by 61 publications

References 43 publications

Prevalence and associated factors of sarcopenia among patients underwent abdominal CT scan in Tertiary Care Hospital of South India

Prevalence and associated factors of sarcopenia among patients underwent abdominal CT scan in Tertiary Care Hospital of South India

Comparisons of Muscle Quality and Muscle Growth Factor Between Sarcopenic and Non-Sarcopenic Older Women

The Association Between TP53 rs1625895 Polymorphism and the Risk of Sarcopenic Obesity in Iranian Older Adults: A Case-Control Study

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