biostudies-literatureLi JNICHD NIH HHSNIDDK NIH HHSNCRR NIH HHSACL HHSNational Institutes of HealthUniversity of AlabamaNIHNIDLRR1061-1067.e1https://www.ebi.ac.uk/biostudies/studies/S-EPMC7074895biostudies-literatureUnknown100(6)<h4>Objective</h4>To investigate the differences in glucose metabolism among women with paraplegic, and tetraplegic spinal cord injury (SCI) in comparison to their able-bodied (AB) counterparts after adjusting for differences in body composition.<h4>Design</h4>Cross-sectional study. After an overnight fast, each participant consumed a 75-g glucose solution for oral glucose tolerance test (OGTT). Blood glucose, insulin, and C-peptide concentrations were analyzed before and 30, 60, 90, and 120 minutes after ingesting glucose solution. Insulin sensitivity index (ISI) was estimated using the Matsuda index. Percentage fat mass (%FM) and total body lean mass (TBLM) were estimated using data from dual-energy x-ray absorptiometry. Visceral fat (VF) was quantified using computed tomography. OutcomeArchives of physical medicine and rehabilitationDifferences in Glucose Metabolism Among Women With Spinal Cord Injury May Not Be Fully Explained by Variations in Body Composition.PMC707489502-90SI501901K12 HD001402/HD/NICHDM01 RR000032/RR/NCRRP30 DK056336K12 HD00140290SI5019M01 RR000032Hunter GRLi JChen YMcLain AYarar-Fisher CSmith DLfalseDifferences in Glucose Metabolism Among Women With Spinal Cord Injury May Not Be Fully Explained by Variations in Body Composition.<h4>Objective</h4>To investigate the differences in glucose metabolism among women with paraplegic, and tetraplegic spinal cord injury (SCI) in comparison to their able-bodied (AB) counterparts after adjusting for differences in body composition.<h4>Design</h4>Cross-sectional study. After an overnight fast, each participant consumed a 75-g glucose solution for oral glucose tolerance test (OGTT). Blood glucose, insulin, and C-peptide concentrations were analyzed before and 30, 60, 90, and 120 minutes after ingesting glucose solution. Insulin sensitivity index (ISI) was estimated using the Matsuda index. Percentage fat mass (%FM) and total body lean mass (TBLM) were estimated using data from dual-energy x-ray absorptiometry. Visceral fat (VF) was quantified using computed tomography. Outcome2019-01-01T00:00:00Z2019 Jun2025-04-19T14:25:33.581Z2020-10-29T13:52:54ZS-EPMC70748953031695710.1016/j.apmr.2018.08.191