Caleb F Brandner, Abby T Compton, Sydney H Swafford, Ryan S Aultman, Anabelle Vallecillo-Bustos, Ta'Quoris A Newsome, Megan E Renna, Tanner Thorsen, Jon Stavres, Austin J Graybeal
{"title":"近红外反应光谱仪与双能 X 射线吸收测量法之间的身体总成分和附属成分比较。","authors":"Caleb F Brandner, Abby T Compton, Sydney H Swafford, Ryan S Aultman, Anabelle Vallecillo-Bustos, Ta'Quoris A Newsome, Megan E Renna, Tanner Thorsen, Jon Stavres, Austin J Graybeal","doi":"10.1111/cpf.12914","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Near-infrared reactance spectroscopy (NIRS) has become increasingly popular in personal and professional settings now that it has been adapted to provide comprehensive body composition assessments. However, whether NIRS agrees with criterion methods remains unknown. Thus, this study aimed to determine the agreement between NIRS and DXA-derived body composition estimates.</p><p><strong>Methods: </strong>Ninety-seven participants completed body composition assessments using DXA, and first-generation (NIRS<sub>G1</sub>), second-generation (NIRS<sub>G2</sub>), and muscle-specific NIRS (NIRS<sub>FIT</sub>) devices. On a separate day, a subset of participants (n = 63) performed maximal voluntary contractions (MVC) on a handgrip dynamometer, which were used in conjunction with total appendicular lean mass (ALM) estimates to provide ratios (MVC/total ALM or MVC/ALM of the arms only) depicting muscle quality index (MQI).</p><p><strong>Results: </strong>Fat mass, fat-free mass, body fat %, and ALM, from NIRS<sub>G2</sub>, but not bone mineral content (BMC), and NIRS<sub>FIT</sub> demonstrated equivalence (using equivalence tests) with DXA with R<sup>2</sup> from 0.83 to 0.97; though BMC revealed concordance coefficients of 0.83 and an R<sup>2</sup> of 0.88. MQI using total ALM from NIRS was not equivalent to DXA, but demonstrated low root mean squared error (0.08 kg/kg) and 95% limits of agreement (±0.21 kg/kg). Indices of visceral adipose tissue (iVAT) from NIRS<sub>G1</sub> and NIRS<sub>G2</sub> were significantly different (p < 0.001), but were both significantly associated with DXA VAT (NIRS<sub>G1</sub> R<sup>2</sup>: 0.53; NIRS<sub>G2</sub> R<sup>2</sup>: 0.62; both p < 0.001).</p><p><strong>Conclusion: </strong>NIRS appears to demonstrate acceptable agreement with DXA and continual improvements could make NIRS a viable alternative for comprehensive body composition assessments.</p>","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Total and appendicular body composition comparisons between near-infrared reactance spectroscopy and dual energy X-ray absorptiometry.\",\"authors\":\"Caleb F Brandner, Abby T Compton, Sydney H Swafford, Ryan S Aultman, Anabelle Vallecillo-Bustos, Ta'Quoris A Newsome, Megan E Renna, Tanner Thorsen, Jon Stavres, Austin J Graybeal\",\"doi\":\"10.1111/cpf.12914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Near-infrared reactance spectroscopy (NIRS) has become increasingly popular in personal and professional settings now that it has been adapted to provide comprehensive body composition assessments. However, whether NIRS agrees with criterion methods remains unknown. Thus, this study aimed to determine the agreement between NIRS and DXA-derived body composition estimates.</p><p><strong>Methods: </strong>Ninety-seven participants completed body composition assessments using DXA, and first-generation (NIRS<sub>G1</sub>), second-generation (NIRS<sub>G2</sub>), and muscle-specific NIRS (NIRS<sub>FIT</sub>) devices. On a separate day, a subset of participants (n = 63) performed maximal voluntary contractions (MVC) on a handgrip dynamometer, which were used in conjunction with total appendicular lean mass (ALM) estimates to provide ratios (MVC/total ALM or MVC/ALM of the arms only) depicting muscle quality index (MQI).</p><p><strong>Results: </strong>Fat mass, fat-free mass, body fat %, and ALM, from NIRS<sub>G2</sub>, but not bone mineral content (BMC), and NIRS<sub>FIT</sub> demonstrated equivalence (using equivalence tests) with DXA with R<sup>2</sup> from 0.83 to 0.97; though BMC revealed concordance coefficients of 0.83 and an R<sup>2</sup> of 0.88. MQI using total ALM from NIRS was not equivalent to DXA, but demonstrated low root mean squared error (0.08 kg/kg) and 95% limits of agreement (±0.21 kg/kg). Indices of visceral adipose tissue (iVAT) from NIRS<sub>G1</sub> and NIRS<sub>G2</sub> were significantly different (p < 0.001), but were both significantly associated with DXA VAT (NIRS<sub>G1</sub> R<sup>2</sup>: 0.53; NIRS<sub>G2</sub> R<sup>2</sup>: 0.62; both p < 0.001).</p><p><strong>Conclusion: </strong>NIRS appears to demonstrate acceptable agreement with DXA and continual improvements could make NIRS a viable alternative for comprehensive body composition assessments.</p>\",\"PeriodicalId\":10504,\"journal\":{\"name\":\"Clinical Physiology and Functional Imaging\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Physiology and Functional Imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/cpf.12914\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Physiology and Functional Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/cpf.12914","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSIOLOGY","Score":null,"Total":0}
Total and appendicular body composition comparisons between near-infrared reactance spectroscopy and dual energy X-ray absorptiometry.
Background: Near-infrared reactance spectroscopy (NIRS) has become increasingly popular in personal and professional settings now that it has been adapted to provide comprehensive body composition assessments. However, whether NIRS agrees with criterion methods remains unknown. Thus, this study aimed to determine the agreement between NIRS and DXA-derived body composition estimates.
Methods: Ninety-seven participants completed body composition assessments using DXA, and first-generation (NIRSG1), second-generation (NIRSG2), and muscle-specific NIRS (NIRSFIT) devices. On a separate day, a subset of participants (n = 63) performed maximal voluntary contractions (MVC) on a handgrip dynamometer, which were used in conjunction with total appendicular lean mass (ALM) estimates to provide ratios (MVC/total ALM or MVC/ALM of the arms only) depicting muscle quality index (MQI).
Results: Fat mass, fat-free mass, body fat %, and ALM, from NIRSG2, but not bone mineral content (BMC), and NIRSFIT demonstrated equivalence (using equivalence tests) with DXA with R2 from 0.83 to 0.97; though BMC revealed concordance coefficients of 0.83 and an R2 of 0.88. MQI using total ALM from NIRS was not equivalent to DXA, but demonstrated low root mean squared error (0.08 kg/kg) and 95% limits of agreement (±0.21 kg/kg). Indices of visceral adipose tissue (iVAT) from NIRSG1 and NIRSG2 were significantly different (p < 0.001), but were both significantly associated with DXA VAT (NIRSG1 R2: 0.53; NIRSG2 R2: 0.62; both p < 0.001).
Conclusion: NIRS appears to demonstrate acceptable agreement with DXA and continual improvements could make NIRS a viable alternative for comprehensive body composition assessments.
期刊介绍:
Clinical Physiology and Functional Imaging publishes reports on clinical and experimental research pertinent to human physiology in health and disease. The scope of the Journal is very broad, covering all aspects of the regulatory system in the cardiovascular, renal and pulmonary systems with special emphasis on methodological aspects. The focus for the journal is, however, work that has potential clinical relevance. The Journal also features review articles on recent front-line research within these fields of interest.
Covered by the major abstracting services including Current Contents and Science Citation Index, Clinical Physiology and Functional Imaging plays an important role in providing effective and productive communication among clinical physiologists world-wide.