{"doi":"10.1111/cpf.12914","title":"Total and appendicular body composition comparisons between near‐infrared reactance spectroscopy and dual energy X‐ray absorptiometry","abstract":"Abstract 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 (NIRS G1 ), second‐generation (NIRS G2 ), and muscle‐specific NIRS (NIRS FIT ) 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 NIRS G2 , but not bone mineral content (BMC), and NIRS FIT demonstrated equivalence (using equivalence tests) with DXA with R 2 from 0.83 to 0.97; though BMC revealed concordance coefficients of 0.83 and an R 2 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 G1 and NIRS G2 were significantly different ( p < 0.001), but were both significantly associated with DXA VAT (NIRS G1 R 2 : 0.53; NIRS G2 R 2 : 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.","journal":"Clinical Physiology and Functional Imaging","year":2024,"id":452402,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9507,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1258136,"name":"Abby T. Compton","orcid":"0009-0001-2487-2116","position":1,"is_corresponding":false},{"id":1258135,"name":"Sydney H. Swafford","orcid":"0009-0006-5465-9988","position":2,"is_corresponding":false},{"id":1274622,"name":"Ryan S. Aultman","orcid":null,"position":3,"is_corresponding":false},{"id":1274166,"name":"Anabelle Vallecillo‐Bustos","orcid":"0009-0004-4283-5265","position":4,"is_corresponding":false},{"id":1274623,"name":"Ta’Quoris A. Newsome","orcid":null,"position":5,"is_corresponding":false},{"id":361950,"name":"Megan E. Renna","orcid":"0000-0003-3941-4270","position":6,"is_corresponding":false},{"id":1258137,"name":"Tanner Thorsen","orcid":"0000-0002-2837-0340","position":7,"is_corresponding":false},{"id":791231,"name":"Jon Stavres","orcid":"0000-0003-0564-7252","position":8,"is_corresponding":false},{"id":902211,"name":"Austin J. Graybeal","orcid":"0000-0003-4520-9230","position":9,"is_corresponding":false},{"id":902212,"name":"Caleb F. Brandner","orcid":"0000-0002-6870-6291","position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":null,"created_at":"2026-07-19T02:02:50.407779Z","pmid":"39513679","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}