A technique to assess body composition and sarcopenia using DXA: application for an obese population

Evans, Ellen M.; Misic, Mark M.; Mallard, Daina M.

doi:10.1038/ejcn.2009.128

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…180 Dual-energy x-ray absorptiometry (DXA) measurement of body composition has become a ''gold standard'' for the evaluation of regional fat distribution. [181][182][183][184][185] DXA body composition analysis allows for the measurement of temporal and regional characteristics of lean and fat mass, including truncal fat and visceral adipose tissue (VAT). It is now possible to identify individuals who have low percentages of truncal fat or VAT despite high BMIs.…”

Section: Bariatric Endocrinologymentioning

confidence: 99%

Obesity, adiposity, and dyslipidemia: A consensus statement from the National Lipid Association

Bays

Tóth

Kris-Etherton

et al. 2013

Journal of Clinical Lipidology

413

280

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The term "fat" may refer to lipids as well as the cells and tissue that store lipid (ie, adipocytes and adipose tissue). "Lipid" is derived from "lipos," which refers to animal fat or vegetable oil. Adiposity refers to body fat and is derived from "adipo," referring to fat. Adipocytes and adipose tissue store the greatest amount of body lipids, including triglycerides and free cholesterol. Adipocytes and adipose tissue are active from an endocrine and immune standpoint. Adipocyte hypertrophy and excessive adipose tissue accumulation can promote pathogenic adipocyte and adipose tissue effects (adiposopathy), resulting in abnormal levels of circulating lipids, with dyslipidemia being a major atherosclerotic coronary heart disease risk factor. It is therefore incumbent upon lipidologists to be among the most knowledgeable in the understanding of the relationship between excessive body fat and dyslipidemia. On September 16, 2012, the National Lipid Association held a Consensus Conference with the goal of better defining the effect of adiposity on lipoproteins, how the pathos of excessive body fat (adiposopathy) contributes to dyslipidemia, and how therapies such as appropriate nutrition, increased physical activity, weight-management drugs, and bariatric surgery might be expected to impact dyslipidemia. It is hoped that the information derived from these proceedings will promote a greater appreciation among clinicians of the impact of excess adiposity and its treatment on dyslipidemia and prompt more research on the effects of interventions for improving dyslipidemia and reducing cardiovascular disease risk in overweight and obese patients.

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Section: Bariatric Endocrinologymentioning

confidence: 99%

Obesity, adiposity, and dyslipidemia: A consensus statement from the National Lipid Association

Bays

Tóth

Kris-Etherton

et al. 2013

Journal of Clinical Lipidology

413

280

View full text Add to dashboard Cite

show abstract

“…DXA is a valid method to aid studies on obesity [21]. However, radiation emitted during DXA measure has been reported in previous studies [22]–[24].…”

Section: Introductionmentioning

confidence: 98%

Percentage of Body Fat Assessment Using Bioelectrical Impedance Analysis and Dual-Energy X-ray Absorptiometry in a Weight Loss Program for Obese or Overweight Chinese Adults

Lin

et al. 2013

PLoS ONE

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The current study aimed to compare the estimates of body fat percentage (%BF) by performing bioelectrical impedance analysis (BIA) and dual energy X-ray absorptiometry (DXA) in a sample of obese or overweight Chinese adults who participated in a weight-loss randomized control trial stratified by gender to determine whether or not BIA is a valid measurement tool. Among 189 adults [73 males, 116 females; age = 41 to 74 years; mean body mass index (BMI) = 27.3 kg/m2], assessments of %BF at the baseline and six months from the baseline were conducted by performing BIA and DXA. Bland-Altman analyses and multiple regression analyses were used to assess the relationships between %BFBIA and %BFDXA. Compared with DXA, BIA underestimated %BF [in males: 4.6, –2.4 to 11.7 (mean biases, 95% limit of agreement) at the baseline, 1.4, –7.4 to 10.2 at the endpoint, and 3.2, –4.8 to 11.3 in changes; in females: 5.1, –2.4 to 12.7; 2.2, –6.1 to 10.4; and 3.0, –4.8 to 10.7, respectively]. For males and females, %BFDXA proved to be a significant predictor of the difference between DXA and BIA at the baseline, the endpoint, and in changes when BMI and age were considered (in males: p<0.01 and R 2 = 23.1%, 24.1%, 20.7%, respectively; for females: p<0.001 and R 2 = 40.4%, 48.8%, 25.4%, respectively). The current study suggests that BIA provides a relatively accurate prediction of %BF in individuals with normal weight, overweight, or obesity after the end of weight-loss program, but less accurate prediction of %BF in obese individuals at baseline or weight change during the weight-loss intervention program.

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“…Scanner limits have typically been reported as 193–198 × 58–65 cm and 136 kg , limiting the use of DXA in obese individuals. Some studies have addressed this limitation by using half body scans in obese individuals . The initial results from such studies suggest small nonsignificant differences (±1%) for the estimation of FM and FFM from left or right side half scans compared to the results of whole‐body scans.…”

Section: Dual Energy X‐ray Absorptiometrymentioning

confidence: 99%

Body composition and functional assessment of nutritional status in adults: a narrative review of imaging, impedance, strength and functional techniques

Smith

Madden

2016

J Human Nutrition Diet

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The accurate and valid assessment of body composition is essential for the diagnostic evaluation of nutritional status, identifying relevant outcome measures, and determining the effectiveness of current and future nutritional interventions. Developments in technology and our understanding of the influences of body composition on risk and outcome will provide practitioners with new opportunities to enhance current practice and to lead future improvements in practice. This is the second of a two-part narrative review that aims to critically evaluate body composition methodology in diverse adult populations, with a primary focus on its use in the assessment and monitoring of under-nutrition. Part one focused on anthropometric variables [Madden and Smith (2016) J Hum Nutr Diet 29: 7-25] and part two focuses on the use of imaging techniques, bioelectrical impedance analysis, markers of muscle strength and functional status, with particular reference to developments relevant to practice.

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A technique to assess body composition and sarcopenia using DXA: application for an obese population

Cited by 6 publications

References 10 publications

Obesity, adiposity, and dyslipidemia: A consensus statement from the National Lipid Association

Obesity, adiposity, and dyslipidemia: A consensus statement from the National Lipid Association

Percentage of Body Fat Assessment Using Bioelectrical Impedance Analysis and Dual-Energy X-ray Absorptiometry in a Weight Loss Program for Obese or Overweight Chinese Adults

Body composition and functional assessment of nutritional status in adults: a narrative review of imaging, impedance, strength and functional techniques

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