Open AccessBody Composition by Computed Tomography vs Dual-Energy X-ray Absorptiometry: Long-Term Prediction of All-Cause Mortality in the Health ABC Cohort
Author(s) -
Samaneh Farsijani,
Lingshu Xue,
Robert M. Boudreau,
Adam J Santanasto,
Stephen B. Kritchevsky,
Anne B. Newman
Publication year - 2021
Publication title -
the journals of gerontology. series a, biological sciences and medical sciences
Language(s) - English
Resource type - Journals
eISSN - 1758-535X
pISSN - 1079-5006
DOI - 10.1093/gerona/glab105
Subject(s) - hazard ratio , lean body mass , confidence interval , medicine , dual energy x ray absorptiometry , proportional hazards model , cohort , body mass index , nuclear medicine , bone mineral , osteoporosis , body weight
Body composition assessment by computed tomography (CT) predicts health outcomes in diverse populations. However, its performance in predicting mortality has not been directly compared to dual-energy X-ray absorptiometry (DXA). Additionally, the association between different body compartments and mortality, acknowledging the compositional nature of the human body, is not well studied. Compositional data analysis, which is applied to multivariate proportion-type data set, may help to account for the interrelationships of body compartments by constructing log ratios of components. Here, we determined the associations of baseline CT-based measures of mid-thigh cross-sectional areas versus DXA measures of body composition with all-cause mortality in the Health ABC cohort, using both traditional (individual body compartments) and compositional data analysis (using ratios of body compartments) approaches.