Visceral adipose tissue reference data computed for GE HealthCare DXA from the National Health and Nutrition Examination Survey data set

Author:

Bennett Jonathan P.1ORCID,Quon Brandon K.1ORCID,Fan Bo2,Liu En1,Kazemi Leila1,Villegas‐Valle Rosa C.3,Ahgun Raj4,Wu Xian‐pin5,Zhou Hou‐De5ORCID,Lu Ying6ORCID,Shepherd John A.1ORCID

Affiliation:

1. University of Hawaii Cancer Center Honolulu Hawaii USA

2. Department of Radiology and Bioimaging University of California San Francisco San Francisco California USA

3. Graduate Program on Chemical and Biological Sciences, University of Sonora Sonora Mexico

4. J. Nehru Hospital Rose Belle Mauritius

5. National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology The Second Xiangya Hospital of Central South University Chansha China

6. Department of Biomedical Data Science Stanford University School of Medicine Stanford California USA

Abstract

AbstractObjectiveThe National Health and Nutrition Examination Survey (NHANES) characterizes body composition representative of the US population using dual‐energy x‐ray absorptiometry (DXA) scans. These population‐level trends of abdominal subcutaneous and visceral adipose tissue (SAT and VAT) are useful for identifying measures associated with increased disease risk. Recently, VAT and SAT data collected by Hologic DXA in NHANES were published online; however, there are known differences in the absolute calibration of DXA systems by make. The purpose of this study was to create reference tables suitable for calculating z scores and percentile values for GE HealthCare (GEHC) DXA systems.MethodsDXA scans were acquired on participants aged 8 to 59 years using Hologic systems. DXA measures were converted to GEHC and described using the least median squares curve fitting method in pediatrics (aged <20 years) and adults (aged 20–59 years).ResultsA total of 11,972 adults and 7298 pediatrics were included for this analysis. Adult and pediatric curves were generated by sex and by ethnicity (non‐Hispanic White, non‐Hispanic Black, Hispanic, Asian, Other) and were derived as a function of age.ConclusionsThese results show the ability to generate VAT and SAT reference data for GEHC systems using Hologic DXA data representative of the US youth and adult population.

Funder

GE Healthcare

Publisher

Wiley

Subject

Nutrition and Dietetics,Endocrinology,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

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