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

Autor: Yun-Hsuan Wu, Li-Wen Lee, Yu-San Liao, Chu-Jung Hsieh
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
Adipose tissue
Blood Pressure
030204 cardiovascular system & hematology
Biochemistry
Vascular Medicine
Pediatrics
Diagnostic Radiology
Fats
Families
0302 clinical medicine
Endocrinology
Absorptiometry
Photon
Medicine and Health Sciences
Medicine
Public and Occupational Health
Prospective Studies
Child
Children
Multidisciplinary
medicine.diagnostic_test
Radiology and Imaging
Area under the curve
Child Health
Lipids
Magnetic Resonance Imaging
Adipose Tissue
Hypertension
Female
Android fat distribution
Anatomy
Algorithms
Research Article
medicine.medical_specialty
Diabetes risk
Imaging Techniques
Endocrine Disorders
Science
030209 endocrinology & metabolism
Intra-Abdominal Fat
Research and Analysis Methods
Risk Assessment
03 medical and health sciences
Diagnostic Medicine
Internal medicine
Diabetes mellitus
Diabetes Mellitus
Humans
Dyslipidemias
business.industry
Puberty
nutritional and metabolic diseases
Biology and Life Sciences
Magnetic resonance imaging
Blood Pressure Determination
Anthropometry
medicine.disease
Biological Tissue
Cross-Sectional Studies
Age Groups
Metabolic Disorders
People and Places
Population Groupings
business
Lipid profile
human activities
Zdroj: PLoS ONE
PLoS ONE, Vol 15, Iss 5, p e0233053 (2020)
ISSN: 1932-6203
Popis: Background 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. Objective 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. Methods 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. Results 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. Conclusions DXA-derived VAT estimates are very highly correlated with standard methods but has equivalent discrimination abilities compared to the existing DXA-derived fat estimates.
Databáze: OpenAIRE
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