Abigail J Johnson, James R Matthie, Adam Kuchnia, Levi M Teigen, Lauren M Beckman, Jennifer R Mager, Sarah A Nicklay, Urvashi Mulasi, Shalamar D Sibley, Emily Nagel, Carrie P Earthman
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A 3-compartment model for distinguishing excess fluid (ExF) from normally hydrated lean (NHLT) and adipose tissue may further improve BIS estimates.</p><p><strong>Objective: </strong>We aimed to validate a BIS approach based on the Chamney model for determining fat mass (FM) in healthy individuals (NHANES) and for measuring FM changes in individuals undergoing massive weight loss.</p><p><strong>Methods: </strong>Using adult NHANES 1999-2004 (2821 female, 3063 male) and longitudinal pre-to-post-RYGB (15F) data, we compared dual-energy-X-ray absorptiometry (DXA) and BIS for FM. We applied BIS adiposity-corrected values to Chamney equations for normally hydrated lean and adipose tissue (NHLT, NHAT) and FM. Method agreement was evaluated by correlations, paired t-tests, root mean square error (RMSE), Bland-Altman (B-A) analysis, and concordance correlation coefficients (CCC).</p><p><strong>Results: </strong>Method agreement between BIS and DXAFM was good in healthy adults (r=0.96, CCC=0.93, p<.0001), and pre-to-post-RYGB (r=0.93-0.98, CCC=0.81-0.86, p<.001). Although cross-sectional FM measures differed, FM change measures post-RYGB did not (35.6±8.9 vs. 35.2±9.2 kg, BIS vs. DXA) and agreed well (r=0.84, p<.0001). The 15 subjects with follow-up measurements at 1 year lost 11.5±9.8 kg FFM by DXA, but only 1.3±2.5 kg of NHLT by BIS, suggesting that the FFM loss may have been mostly adipose tissue water.</p><p><strong>Conclusions: </strong>Incorporation of the Chamney model into BIS algorithms is a major conceptual advancement for assessing and monitoring body composition. Its ability to differentiate ICW and extracellular water (ECW) in NHLT and NHAT, as well as excess ECW is promising, and would facilitate lean tissue monitoring in obesity and acute/chronic disease.</p>","PeriodicalId":92760,"journal":{"name":"BRASPEN journal","volume":"32 3","pages":"193-202"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6687078/pdf/","citationCount":"0","resultStr":"{\"title\":\"Evaluation of Advanced Bioimpedance Spectroscopy Models for Measuring Body Composition in Healthy Adults (NHANES 1999-2004) and Those Undergoing Massive Weight Loss Following Roux-en-Y Gastric Bypass Surgery.\",\"authors\":\"Abigail J Johnson, James R Matthie, Adam Kuchnia, Levi M Teigen, Lauren M Beckman, Jennifer R Mager, Sarah A Nicklay, Urvashi Mulasi, Shalamar D Sibley, Emily Nagel, Carrie P Earthman\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Bioimpedance spectroscopy (BIS) devices utilize biophysical modeling to generate body composition data. The addition of body mass index (BMI) to modified Xitron-Hanai-based mixture equations improved BIS estimates of intracellular water (ICW), particularly at the extremes of BMI. A 3-compartment model for distinguishing excess fluid (ExF) from normally hydrated lean (NHLT) and adipose tissue may further improve BIS estimates.</p><p><strong>Objective: </strong>We aimed to validate a BIS approach based on the Chamney model for determining fat mass (FM) in healthy individuals (NHANES) and for measuring FM changes in individuals undergoing massive weight loss.</p><p><strong>Methods: </strong>Using adult NHANES 1999-2004 (2821 female, 3063 male) and longitudinal pre-to-post-RYGB (15F) data, we compared dual-energy-X-ray absorptiometry (DXA) and BIS for FM. We applied BIS adiposity-corrected values to Chamney equations for normally hydrated lean and adipose tissue (NHLT, NHAT) and FM. Method agreement was evaluated by correlations, paired t-tests, root mean square error (RMSE), Bland-Altman (B-A) analysis, and concordance correlation coefficients (CCC).</p><p><strong>Results: </strong>Method agreement between BIS and DXAFM was good in healthy adults (r=0.96, CCC=0.93, p<.0001), and pre-to-post-RYGB (r=0.93-0.98, CCC=0.81-0.86, p<.001). Although cross-sectional FM measures differed, FM change measures post-RYGB did not (35.6±8.9 vs. 35.2±9.2 kg, BIS vs. DXA) and agreed well (r=0.84, p<.0001). The 15 subjects with follow-up measurements at 1 year lost 11.5±9.8 kg FFM by DXA, but only 1.3±2.5 kg of NHLT by BIS, suggesting that the FFM loss may have been mostly adipose tissue water.</p><p><strong>Conclusions: </strong>Incorporation of the Chamney model into BIS algorithms is a major conceptual advancement for assessing and monitoring body composition. 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引用次数: 0
摘要
简介：生物阻抗光谱（BIS）设备利用生物物理模型生成身体成分数据。将体重指数（BMI）加入基于 Xitron-Hanai 混合方程的改进型 BIS 估计细胞内水分（ICW）中，尤其是在 BMI 的极端情况下。区分过量液体（ExF）与正常水合瘦人（NHLT）和脂肪组织的三室模型可进一步改善 BIS 估计值：我们旨在验证一种基于 Chamney 模型的 BIS 方法，该方法可用于确定健康人（NHANES）的脂肪量（FM），以及测量大量减肥者的脂肪量变化：利用 1999-2004 年成人 NHANES（女性 2821 人，男性 3063 人）和 RYGB（15F）前后的纵向数据，我们比较了双能量 X 射线吸收测定法（DXA）和 BIS 对脂肪量的测定。我们将 BIS 脂肪含量校正值应用于正常水合瘦肉和脂肪组织（NHLT、NHAT）和 FM 的 Chamney 方程。通过相关性、配对 t 检验、均方根误差 (RMSE)、Bland-Altman (B-A) 分析和一致性相关系数 (CCC) 评估了方法的一致性：结果：在健康成年人中，BIS 和 DXAFM 之间的方法一致性良好（r=0.96，CCC=0.93，p 结论：将 Chamam 模型纳入 BIS 和 DXAFM 之间的方法一致性良好：将 Chamney 模型纳入 BIS 算法是评估和监测身体成分的一大概念性进步。它能够区分 NHLT 和 NHAT 中的 ICW 和细胞外水 (ECW)，并能区分多余的 ECW，这一点很有前途，将有助于对肥胖和急性/慢性疾病中的瘦组织进行监测。
Evaluation of Advanced Bioimpedance Spectroscopy Models for Measuring Body Composition in Healthy Adults (NHANES 1999-2004) and Those Undergoing Massive Weight Loss Following Roux-en-Y Gastric Bypass Surgery.
Introduction: Bioimpedance spectroscopy (BIS) devices utilize biophysical modeling to generate body composition data. The addition of body mass index (BMI) to modified Xitron-Hanai-based mixture equations improved BIS estimates of intracellular water (ICW), particularly at the extremes of BMI. A 3-compartment model for distinguishing excess fluid (ExF) from normally hydrated lean (NHLT) and adipose tissue may further improve BIS estimates.
Objective: We aimed to validate a BIS approach based on the Chamney model for determining fat mass (FM) in healthy individuals (NHANES) and for measuring FM changes in individuals undergoing massive weight loss.
Methods: Using adult NHANES 1999-2004 (2821 female, 3063 male) and longitudinal pre-to-post-RYGB (15F) data, we compared dual-energy-X-ray absorptiometry (DXA) and BIS for FM. We applied BIS adiposity-corrected values to Chamney equations for normally hydrated lean and adipose tissue (NHLT, NHAT) and FM. Method agreement was evaluated by correlations, paired t-tests, root mean square error (RMSE), Bland-Altman (B-A) analysis, and concordance correlation coefficients (CCC).
Results: Method agreement between BIS and DXAFM was good in healthy adults (r=0.96, CCC=0.93, p<.0001), and pre-to-post-RYGB (r=0.93-0.98, CCC=0.81-0.86, p<.001). Although cross-sectional FM measures differed, FM change measures post-RYGB did not (35.6±8.9 vs. 35.2±9.2 kg, BIS vs. DXA) and agreed well (r=0.84, p<.0001). The 15 subjects with follow-up measurements at 1 year lost 11.5±9.8 kg FFM by DXA, but only 1.3±2.5 kg of NHLT by BIS, suggesting that the FFM loss may have been mostly adipose tissue water.
Conclusions: Incorporation of the Chamney model into BIS algorithms is a major conceptual advancement for assessing and monitoring body composition. Its ability to differentiate ICW and extracellular water (ECW) in NHLT and NHAT, as well as excess ECW is promising, and would facilitate lean tissue monitoring in obesity and acute/chronic disease.
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