Evidence in obese children: contribution of tri-ponderal mass index or body mass index to dyslipidemia, obesity-inflammation, and insulin sensitivity.
Neşe AkcanMoaaz ObaidJana SalemRuveyde BundakPublished in: Journal of pediatric endocrinology & metabolism : JPEM (2020)
Background Chronic inflammation plays a critical role in the development of obesity-related metabolic dysfunction. The tri-ponderal mass index (TMI) may be more effective than body mass index (BMI) for estimating body fat levels. This study compared the efficacy of BMI and TMI in screening for dyslipidemia, insulin sensitivity, and inflammation in childhood obesity. Methods This study included 80 children who were classified as normal weight, overweight or obese using standardized BMI (BMI standard deviation score [SDS]) and TMI measurements. Fasting blood glucose, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C), triglycerides, total cholesterol, liver function enzymes, leptin, serum free fatty acid (FFA), fetuin-A, monocyte chemoattractant protein-1 (MCP-1), tumor necrosis factor-alpha (TNF-α), and interleukin (IL)-6 levels were evaluated using both classification systems. Results LDL-C levels significantly differed within the groups by BMI, and serum FFA levels differed only according to the TMI. Serum MCP-1, TNF-α, IL-6, and fetuin-A levels showed no difference according to the TMI or BMI SDS. Fetuin-A levels did not differ between the insulin-resistant and non-resistant cases. Fetuin-A was the only inflammatory marker positively correlated with BMI. No inflammatory markers correlated with TMI. Fetuin-A, MCP-1, TNF-α, and IL-6 correlated with each other, but not with metabolic parameters. Conclusions BMI SDS and TMI were associated with metabolic disturbances in childhood obesity. Weight versus heightn values may be related more to metabolic parameters than to inflammatory changes.
Keyphrases
- body mass index
- weight gain
- insulin resistance
- weight loss
- type diabetes
- oxidative stress
- blood glucose
- metabolic syndrome
- physical activity
- rheumatoid arthritis
- adipose tissue
- young adults
- fatty acid
- machine learning
- small molecule
- dendritic cells
- bariatric surgery
- low density lipoprotein
- polycystic ovary syndrome
- blood pressure
- deep learning