Added values of DXA-derived visceral adipose tissue to discriminate cardiometabolic risks in pre-pubertal children

The new generation of dual energy X-ray absorptiometry (DXA) scanners provide visceral adipose tissue (VAT) estimates by applying different algorithms to the conventional DXA-derived fat parameters such as total fat, trunk fat and android fat for the same image data. This cross-sectional study aimed...

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Published in:PloS one 2020-05, Vol.15 (5), p.e0233053
Main Authors: Lee, Li-Wen, Hsieh, Chu-Jung, Wu, Yun-Hsuan, Liao, Yu-San
Format: Article
Language:English
Subjects:
Abdomen
Absorptiometry, Photon - instrumentation
Adipose tissue
Algorithms
Anthropometry
Background radiation
Biology and Life Sciences
Blood pressure
Blood Pressure Determination
Body composition
Body fat
Body mass index
Bone densitometry
Cardiovascular diseases
Child
Children
Composition
Cross-Sectional Studies
Diabetes
Diabetes mellitus
Diabetes Mellitus - diagnosis
Diabetes Mellitus - metabolism
Diagnosis
Diagnostic imaging
Discrimination
Dual energy X-ray absorptiometry
Dyslipidemia
Dyslipidemias - diagnostic imaging
Dyslipidemias - metabolism
Estimates
Female
Health aspects
Health risks
Hospitals
Humans
Hypertension
Hypertension - diagnosis
Intra-Abdominal Fat - diagnostic imaging
Laboratory tests
Lipids
Lipids - analysis
Magnetic resonance
Magnetic Resonance Imaging
Male
Medicine and Health Sciences
Metabolic diseases
Methyltestosterone
Obesity
Parameters
Pediatric research
People and Places
Prospective Studies
Puberty
Research and Analysis Methods
Risk Assessment
Risk factors
Scanners
Studies
Type 2 diabetes
X-rays
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creator Lee, Li-Wen
Hsieh, Chu-Jung
Wu, Yun-Hsuan
Liao, Yu-San
description The new generation of dual energy X-ray absorptiometry (DXA) scanners provide visceral adipose tissue (VAT) estimates by applying different algorithms to the conventional DXA-derived fat parameters such as total fat, trunk fat and android fat for the same image data. This cross-sectional study aimed to investigate whether VAT estimates from Hologic scanners are better predictors of VAT than conventional DXA parameters in pre-pubertal children, and to explore the discrimination ability of these VAT methods for cardiometabolic risks. Healthy pre-pubertal children aged 7-10 years were recruited for basic anthropometric, DXA and magnetic resonance imaging (MRI) measurements. Laboratory tests included lipid profile, glycaemic tests and blood pressure. All VAT methods had acceptable to excellent performance for the diagnosis of dyslipidaemia (area under the curve [AUC] = 0.753-0.837) and hypertensive risk (AUC = 0.710-0.821) in boys, but suboptimal performance for these risks in girls, except for VAT by MRI in the diagnosis of dyslipidaemia. In both sexes, all VAT methods had no or poor discrimination ability for diabetes risk. DXA-derived VAT estimates are very highly correlated with standard methods but has equivalent discrimination abilities compared to the existing DXA-derived fat estimates.
doi_str_mv 10.1371/journal.pone.0233053
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This cross-sectional study aimed to investigate whether VAT estimates from Hologic scanners are better predictors of VAT than conventional DXA parameters in pre-pubertal children, and to explore the discrimination ability of these VAT methods for cardiometabolic risks. Healthy pre-pubertal children aged 7-10 years were recruited for basic anthropometric, DXA and magnetic resonance imaging (MRI) measurements. Laboratory tests included lipid profile, glycaemic tests and blood pressure. All VAT methods had acceptable to excellent performance for the diagnosis of dyslipidaemia (area under the curve [AUC] = 0.753-0.837) and hypertensive risk (AUC = 0.710-0.821) in boys, but suboptimal performance for these risks in girls, except for VAT by MRI in the diagnosis of dyslipidaemia. In both sexes, all VAT methods had no or poor discrimination ability for diabetes risk. DXA-derived VAT estimates are very highly correlated with standard methods but has equivalent discrimination abilities compared to the existing DXA-derived fat estimates.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32401808</pmid><doi>10.1371/journal.pone.0233053</doi><tpages>e0233053</tpages><orcidid>https://orcid.org/0000-0001-8019-1772</orcidid><oa>free_for_read</oa></addata></record>
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subjects Abdomen
Absorptiometry, Photon - instrumentation
Adipose tissue
Algorithms
Anthropometry
Background radiation
Biology and Life Sciences
Blood pressure
Blood Pressure Determination
Body composition
Body fat
Body mass index
Bone densitometry
Cardiovascular diseases
Child
Children
Composition
Cross-Sectional Studies
Diabetes
Diabetes mellitus
Diabetes Mellitus - diagnosis
Diabetes Mellitus - metabolism
Diagnosis
Diagnostic imaging
Discrimination
Dual energy X-ray absorptiometry
Dyslipidemia
Dyslipidemias - diagnostic imaging
Dyslipidemias - metabolism
Estimates
Female
Health aspects
Health risks
Hospitals
Humans
Hypertension
Hypertension - diagnosis
Intra-Abdominal Fat - diagnostic imaging
Laboratory tests
Lipids
Lipids - analysis
Magnetic resonance
Magnetic Resonance Imaging
Male
Medicine and Health Sciences
Metabolic diseases
Methyltestosterone
Obesity
Parameters
Pediatric research
People and Places
Prospective Studies
Puberty
Research and Analysis Methods
Risk Assessment
Risk factors
Scanners
Studies
Type 2 diabetes
X-rays
title Added values of DXA-derived visceral adipose tissue to discriminate cardiometabolic risks in pre-pubertal children
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