» Articles » PMID: 31781386

Accuracy of Longitudinal Assessment of Visceral Adipose Tissue by Dual-Energy X-Ray Absorptiometry in Children with Obesity

Overview
Journal J Obes
Publisher Wiley
Specialty Endocrinology
Date 2019 Nov 30
PMID 31781386
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Increased visceral adipose tissue (VAT) is strongly associated with cardiometabolic risk factors. Accurate quantification of VAT is available through magnetic resonance imaging (MRI), which incurs a significant financial and time burden. We aimed to assess the accuracy of dual-energy X-ray absorptiometry- (DXA-) derived VAT (DXA-VAT) against a gold standard MRI protocol (MRI-VAT) in children with normal weight and obesity cross-sectionally, and over the course of a lifestyle intervention.

Methodology: MRI-VAT and DXA-VAT were quantified in 61 children (30 normal weight and 31 with obesity) at baseline. Children with obesity entered a three-month exercise and/or nutrition intervention after which VAT was reassessed. MRI- and DXA-VAT cross-sectional area, volume, and mass were quantified, and associations were calculated at baseline ( = 61) and pre-post intervention ( = 28, 3 participants dropped out). Method agreement was assessed through Bland-Altman analysis, linear regression, and Passing-Bablok regression.

Results: At baseline, all DXA- and MRI-VAT outcomes were strongly associated ( = 0.90, < 0.001). However, there were no significant associations between absolute or relative change in DXA- and MRI-VAT outcomes ( = 0.25-0.36, > 0.05). DXA significantly overestimated VAT CSA (cross-sectional area), volume, and mass when compared with MRI ( < 0.001) at baseline. Significant proportional bias was observed for all DXA-VAT outcomes at baseline and for relative longitudinal changes in DXA-VAT.

Conclusions: Although DXA-VAT outcomes were strongly associated with MRI-VAT outcomes at baseline, estimates were subject to proportional bias in children with obesity and normal weight. DXA lacks validity for detecting changes in VAT among children with obesity. This trial is registered with NCT01991106.

Citing Articles

The pathophysiology of visceral adipose tissues in cardiometabolic diseases.

Lee M, Kim J Biochem Pharmacol. 2024; 222:116116.

PMID: 38460909 PMC: 11407912. DOI: 10.1016/j.bcp.2024.116116.


Effects of aromatase inhibitor therapy on adiposity and cardiometabolic health in postmenopausal women: a controlled cohort extension study.

Cheung Y, Hoermann R, Van K, Wu D, Healy J, Halim B Endocr Connect. 2023; 12(10).

PMID: 37522858 PMC: 10503251. DOI: 10.1530/EC-23-0076.


Monitoring body composition change for intervention studies with advancing 3D optical imaging technology in comparison to dual-energy X-ray absorptiometry.

Wong M, Bennett J, Leong L, Tian I, Liu Y, Kelly N Am J Clin Nutr. 2023; 117(4):802-813.

PMID: 36796647 PMC: 10315406. DOI: 10.1016/j.ajcnut.2023.02.006.


Effect of Incorporating 1 Avocado Per Day Versus Habitual Diet on Visceral Adiposity: A Randomized Trial.

Lichtenstein A, Kris-Etherton P, Petersen K, Matthan N, Barnes S, Vitolins M J Am Heart Assoc. 2022; 11(14):e025657.

PMID: 35861827 PMC: 9707833. DOI: 10.1161/JAHA.122.025657.


Possible prediction of obesity-related liver disease in children and adolescents using indices of body composition.

Johansen M, Lund M, Angquist L, Fonvig C, Holm L, Chabanova E Pediatr Obes. 2022; 17(10):e12947.

PMID: 35726748 PMC: 9541567. DOI: 10.1111/ijpo.12947.


References
1.
Bredella M, Gill C, Keating L, Torriani M, Anderson E, Punyanitya M . Assessment of abdominal fat compartments using DXA in premenopausal women from anorexia nervosa to morbid obesity. Obesity (Silver Spring). 2013; 21(12):2458-64. PMC: 3690161. DOI: 10.1002/oby.20424. View

2.
Neeland I, Grundy S, Li X, Adams-Huet B, Vega G . Comparison of visceral fat mass measurement by dual-X-ray absorptiometry and magnetic resonance imaging in a multiethnic cohort: the Dallas Heart Study. Nutr Diabetes. 2016; 6(7):e221. PMC: 4973141. DOI: 10.1038/nutd.2016.28. View

3.
Ogden C, Carroll M, Kit B, Flegal K . Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014; 311(8):806-14. PMC: 4770258. DOI: 10.1001/jama.2014.732. View

4.
Marshall W, Tanner J . Variations in pattern of pubertal changes in girls. Arch Dis Child. 1969; 44(235):291-303. PMC: 2020314. DOI: 10.1136/adc.44.235.291. View

5.
Krebs N, Himes J, Jacobson D, Nicklas T, Guilday P, Styne D . Assessment of child and adolescent overweight and obesity. Pediatrics. 2007; 120 Suppl 4:S193-228. DOI: 10.1542/peds.2007-2329D. View