The correlations of abdominal adipose tissue with anthropometric and metabolic parameters in obese children by magnetic resonance imaging.
10.3760/cma.j.cn112140-20220129-00099
- VernacularTitle:基于磁共振成像探讨肥胖患儿腹部脂肪与体格测量及代谢的关系
- Author:
Jia Qi LI
1
;
Xin WANG
2
;
Lu Ting PENG
1
;
Wu YAN
1
;
Qian Qi LIU
1
;
Xiao Nan LI
1
Author Information
1. Department of Child Health Care, Children's Hospital of Nanjing Medical University,Nanjing 210008,China.
2. Department of Radiology, Children's Hospital of Nanjing Medical University,Nanjing 210008,China.
- Publication Type:Journal Article
- MeSH:
Abdominal Fat/metabolism*;
Body Mass Index;
Child;
Cross-Sectional Studies;
Female;
Humans;
Insulin Resistance;
Magnetic Resonance Imaging;
Male;
Metabolic Diseases/metabolism*;
Metabolic Syndrome/metabolism*;
Non-alcoholic Fatty Liver Disease;
Pediatric Obesity/metabolism*
- From:
Chinese Journal of Pediatrics
2022;60(8):798-803
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore abdominal fat mass distribution and contents among obese children via magnetic resonance imaging (MRI), and analyze the correlations of abdominal adipose tissue with anthropometric and metabolic parameters. Methods: Cross-sectional study. There were 60 obese children admitted to the Children's Health Care Department and Endocrinology Department at Children's Hospital of Nanjing Medical University from July 2016 to December 2018. Children's gender, age, height, weight, body composition, waist circumference and blood pressure were recorded. The levels of fasting blood glucose, lipids, insulin were measured, and liver ultrasound was performed, and the body mass index Z score (BMI-Z), waist-to-height ratio (WHtR) and homeostasis model assessment of insulin resistance (HOMA-IR) were calculated. In addition, contents of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT) and total abdominal adipose tissue (TAAT) were calculated according to feedback of abdominal MRI scan images. The associations between the contents of abdominal adipose tissue, physical examination status and metabolic disorders among obese children were analyzed through correlation analysis and regression analysis. Receiver operating characteristic (ROC) curve was used to compare the accuracy of fat mass in different parts of the abdomen in predicting their metabolic disorders. Results: A total of 60 children were enrolled in the study, included 44 boys and 16 girls, with age of (9.2±1.4) years. The contents of SAT, VAT and TAAT among the 60 children were positively associated with BMI-Z (r=0.60, 0.46, 0.59), body fat percentage (r=0.64, 0.67, 0.68) and waist-to-height ratio (r=0.60, 0.57, 0.61) (all P<0.01). Meanwhile, contents of SAT and TAAT were also positively correlated with systolic blood pressure (r=0.47, 0.49), triglyceride (r=0.33, 0.35) and HOMA-IR (r=0.33, 0.28)(all P<0.05). In order to adjust the confounding effects among various variables, regression analysis was applied and the result showed that the body fat percentage (β=0.59, 0.66, 0.65) and waist-to-height ratio (β=0.53, 0.63, 0.59) were most related to abdominal fat contents (all P<0.01), including SAT, VAT and TAAT among obese children. According to ROC, SAT had outstanding evaluation performances for the diagnosis of insulin resistance and metabolic syndrome, while VAT had excellent evaluation performances for non-alcoholic fatty liver disease (area under curve=0.68, 0.69, 0.69, 95%CI 0.54-0.82, 0.55-0.84, 0.53-0.85, P=0.017, 0.014, 0.019). Conclusions: As one of the best indexes, body fat percentage and WHtR can be used to predict the contents of SAT, VAT and TAAT among obese children. With the increase of abdominal SAT or VAT, the risks for insulin resistance, metabolic syndrome and non-alcoholic fatty liver disease would increase. Assessment of abdominal fat and metabolic risks in obese children should combine BMI-Z with waist circumference and body composition analysis.
