Comparison between Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analyses for Accuracy in Measuring Whole Body Muscle Mass and Appendicular Skeletal Muscle Mass

Lee, Seo Young; Ahn, Soyeon; Kim, Young Ji; Ji, Myoung Jin; Kim, Kyoung Min; Choi, Sung Hee; Jang, Hak Chul; Lim, Soo

doi:10.3390/nu10060738

Cited by 125 publications

(109 citation statements)

References 43 publications

Supporting

Mentioning

102

Contrasting

Unclassified

Order By: Relevance

“…Further confounding is added by the fact that the direction of the error associated with the comparison of different methods may not be consistent. For example, due to variation in equipment and formulas used, both overestimation and underestimation of body fat (%) by BIA in comparison to DXA have been observed, ranging between −3.2% and 6.6% . One study in the present analysis chose to use magnetic resonance imaging (MRI), which is a considered gold standard method of measuring body composition, and allows for greater structure of body compartments to be analysed, although we were not able to include models beyond two‐compartments in the present analysis.…”

Section: Discussionmentioning

confidence: 99%

Associations between the rate, amount, and composition of weight loss as predictors of spontaneous weight regain in adults achieving clinically significant weight loss: A systematic review and meta‐regression

et al. 2019

View full text Add to dashboard Cite

Weight regain following weight loss is common although little is known regarding the associations between amount, rate, and composition of weight loss and weight regain. Forty-three studies (52 groups; n = 2379) with longitudinal body composition measurements were identified in which weight loss (≥5%) and subsequent weight regain (≥2%) occurred. Data were synthesized for changes in weight and body composition. Meta-regression models were used to investigate associations between amount, rate, and composition of weight loss and weight regain. Individuals lost 10.9% of their body weight over 13 weeks composed of 19.6% fat-free mass, followed by a regain of 5.4% body weight over 44 weeks composed of 21.6% fatfree mass. Associations between the amount (P < 0.001) and rate (P = 0.049) of weight loss and their interaction (P = 0.042) with weight regain were observed. Fatfree mass (P = 0.017) and fat mass (P < 0.001) loss both predicted weight regain although the effect of fat-free mass was attenuated following adjustment. The amount (P < 0.001), but not the rate of weight loss (P = 0.150), was associated with fat-free mass loss. The amount and rate of weight loss were significant and interacting factors associated with weight regain. Loss of fat-free mass and fat mass explained greater variance in weight regain than weight loss alone. KEYWORDS body composition, fat mass, fat-free mass, weight loss, weight regain 1 | INTRODUCTION Over half of the UK population are currently considered overweight or obese, and it is estimated that around 55% of individuals worldwide will be affected by obesity by 2050. 1 At any one time, approximately 40% of adults report that they are engaged in attempts to control their weight. 2 While these attempts show initial success, relapse is common, 3 and less than 20% of those losing 10% of their weight maintain the loss for a year or more. 4 It is likely that several factors during weight loss influence subsequent weight regain, however, although commonly measured in clinical weight loss studies, the extent to which the rate, amount, and composition (eg, fat-mass [FM] and fat-free mass [FFM]) of weight loss are associated with weight regain remains unclear. Studies of weight loss with follow-up periods in which weight regain occurs may be used as a model to identify predictive factors associated with weight regain. Factors such as a rapid rates and large amounts of weight loss have previously been associated with weight

show abstract

Section: Discussionmentioning

confidence: 99%

Associations between the rate, amount, and composition of weight loss as predictors of spontaneous weight regain in adults achieving clinically significant weight loss: A systematic review and meta‐regression

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Although many studies have shown a good agreement (e.g. standard error of estimate 2.7 kg 77 ) between BIA and MRI/DEXA [77][78][79] , BIA might overestimate muscle mass 80,81 . Therefore, future studies that adopt a more rigorous approach to assessing muscle mass (MRI or DXA) may observe stronger SNP associations than those reported in the present study.…”

Section: Sarcopeniamentioning

confidence: 96%

Prevalence and association of single nucleotide polymorphisms with sarcopenia in older women depends on definition

Khanal

Stebbings

et al. 2020

Sci Rep

View full text Add to dashboard Cite

The prevalence of sarcopenia depends on the definition used. There are, however, consistent sarcopenic characteristics, including a low muscle mass and muscle strength. Few studies have investigated the relationship between sarcopenia and genotype. A cross-sectional study was conducted with 307 community-dwelling ≥60-year-old women in South Cheshire, UK. Handgrip strength was assessed with a handgrip dynamometer and skeletal muscle mass was estimated using bioelectrical impedance. DNA was extracted from saliva (∼38%) or blood (∼62%) and 24 single-nucleotide polymorphisms (SNPs) were genotyped. Three established sarcopenia definitions -%Skeletal Muscle Mass (%SMM), Skeletal Muscle Mass Index (SMI) and European Working Group on Sarcopenia in Older People (EWGSOP) -were used to assess sarcopenia prevalence. Binary logistic regression with age as covariate was used to identify SNPs associated with sarcopenia. The prevalence of sarcopenia was: %SMM 14.7%, SMI 60.6% and EWGSOP 1.3%. Four SNPs were associated with the %SMM and SMI definitions of sarcopenia; FTO rs9939609, ESR1 rs4870044, NOS3 rs1799983 and TRHR rs7832552. The first three were associated with the %SMM definition, and TRHR rs7832552 with the SMI definition, but none were common to both sarcopenia definitions. The gene variants associated with sarcopenia may help proper counselling and interventions to prevent individuals from developing sarcopenia.Sarcopenia is defined as an ageing-related loss of both muscle mass and strength below a threshold level 1 . It is an important predictor of adverse outcomes such as limited mobility, increased risk of falls, decreased quality of life (QoL), hospitalization and mortality, and contributes to tens of millions of pounds of health care costs in the UK 1-3 . Although muscle weakness and skeletal muscle atrophy are overt characteristics of this geriatric syndrome, there is ongoing debate on the operational definition, screening and diagnosis, and optimal management and treatment of the condition 1,4-6 . The considerable heterogeneity in the reported prevalence of sarcopenia is largely attributable to the different definitions or cut-offs used 7-9 .The fact that some elderly do not show sarcopenia, whilst others of the same age do 10,11 , suggests that some individuals are more susceptible to sarcopenia than others. The different susceptibility is likely due to a combination of factors including physical activity, diet, sedentary behaviour and genetics [12][13][14][15] . Several studies have reported an association of single nucleotide polymorphisms (SNPs) with lean mass, muscle volume and muscle strength [16][17][18] . It is thus possible that individuals carrying favourable gene variants are less susceptible to sarcopenia and hence can maintain independence until later life. To date, five studies have investigated the association of SNPs with sarcopenia; limited to VDR, IL6, ACTN3 and MSTN polymorphisms [19][20][21][22][23] . The studies identified an association of ACTN3 and VDR gene variants with sarcopenia, but di...

show abstract

“…We measured body height, weight, body fat mass, body fat percentage, skeletal muscle mass, skeletal muscle percentage, waist circumference, and visceral fat area. Body weight, body fat mass, body fat percentage, and skeletal muscle mass were measured by bioelectric impedance (Inbody 720 Body Composition Analyzer; InBody Japan, Tokyo, Japan) [62,63]. The subcutaneous adipose thickness of the supraclavicular, deltoid, and abdominal regions was monitored using B-mode ultrasonography (Vscan Dual Probe; GE Vingmed Ultrasound AS, Horten, Norway).…”

Section: Measurement Of Anthropometric and Circulatory Parametersmentioning

confidence: 99%

Vigorous-Intensity Physical Activities Are Associated with High Brown Adipose Tissue Density in Humans

Tanaka

Fuse

Kuroiwa

et al. 2020

IJERPH

View full text Add to dashboard Cite

Brown adipose tissue (BAT) plays a role in adaptive thermogenesis in response to cold environments and dietary intake via sympathetic nervous system (SNS) activation. It is unclear whether physical activity increases BAT density (BAT-d). Two-hundred ninety-eight participants (age: 41.2 ± 12.1 (mean ± standard deviation), height: 163.6 ± 8.3 cm, weight: 60.2 ± 11.0 kg, body mass index (BMI): 22.4 ± 3.0 kg/m2, body fat percentage: 25.4 ± 7.5%) without smoking habits were categorized based on their physical activity levels (a group performing physical activities including walking and moderate physical activity (WM) and a group performing WM + vigorous-intensity physical activities (VWM)). We measured the total hemoglobin concentration ([Total-Hb]) in the supraclavicular region, an index of BAT-d, and anthropometric parameters. [Total-Hb] was significantly higher in VWM than WM for all participant groups presumably owing to SNS activation during vigorous-intensity physical activities, and unrelated to the amount of total physical activity levels. Furthermore, multiple regression analysis revealed that BAT-d was related to visceral fat area and VWM in men and related to body fat percentage in women. We conclude that vigorous-intensity physical activities are associated with high BAT-d in humans, especially in men.

show abstract

Comparison between Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analyses for Accuracy in Measuring Whole Body Muscle Mass and Appendicular Skeletal Muscle Mass

Cited by 125 publications

References 43 publications

Associations between the rate, amount, and composition of weight loss as predictors of spontaneous weight regain in adults achieving clinically significant weight loss: A systematic review and meta‐regression

Associations between the rate, amount, and composition of weight loss as predictors of spontaneous weight regain in adults achieving clinically significant weight loss: A systematic review and meta‐regression

Prevalence and association of single nucleotide polymorphisms with sarcopenia in older women depends on definition

Vigorous-Intensity Physical Activities Are Associated with High Brown Adipose Tissue Density in Humans

Contact Info

Product

Resources

About