Background: We aimed to evaluate how the parameters used in the diagnosis of metabolic syndrome (MetS) and parameters such as epicardial adipose tissue (EAT) thickness, insulin resistance (IR), and serum uric acid (SUA) are affected according to the severity of obesity.

Methods: A total of 120 obese patients aged 10-18 years were classified as class 1-2-3 according to their body mass index (BMI) score. SUA was measured and oral glucose tolerance tests were performed on all patients. MetS components were determined according to the International Diabetes Federation 2007 criteria. IR was calculated using homeostatic model assessment for insulin resistance (HOMA-IR) and whole body insulin sensitivity index (WBISI).

Results: HOMA-IR was higher in the class 3 group than in the class 1 (p<0.001) and class 2 groups (p<0.01). WBISI was lower in the class 3 group than in the class 1 (p=0.015) and class 2 groups (p<0.01). EAT thickness was higher in the class 3 group than in the class 1 (p<0.01) and class 2 groups (p<0.01). No significant difference was found between class 1 and 2 groups for HOMA-IR, WBISI, and EAT thickness variables. The frequency of the MetS components was similar between the class of obesity groups (p=0.702). SUA and EAT thickness were significantly higher in the group with 2 and/or more MetS components than in the group with no MetS component. EAT thickness was positively and moderately correlated with SUA levels (Rho=0.319, p<0.001).

Conclusions: A more significant increase in cardiovascular disease risk factors, especially after class 2 obesity suggests that obese people should be followed closely and necessary interventions made for the prevention and progression of obesity. SUA and EAT thickness, an important risk factor affecting the obesity-related comorbidities, are positively correlated with each other and can be used in the follow-up of obese children.

Download full-text PDF

Source
http://dx.doi.org/10.24953/turkjpediatr.2024.4558DOI Listing

Publication Analysis

Top Keywords

metabolic syndrome
8
serum uric
8
uric acid
8
epicardial adipose
8
adipose tissue
8
insulin resistance
8
evaluation metabolic
4
syndrome components
4
components serum
4
acid levels
4

Similar Publications

Cancer survivors have an increased risk of developing Type 2 diabetes compared to the general population. Patients treated with cisplatin, a common chemotherapeutic agent, are more likely to develop metabolic syndrome and Type 2 diabetes than age- and sex-matched controls. Surprisingly, the impact of cisplatin on pancreatic islets has not been reported.

View Article and Find Full Text PDF

Background: Obesity and metabolic syndrome (MS) accelerate arterial stiffening, increasing cardiovascular (CV) risk after transplant. BMI is limited by inability to differentiate muscle, fat mass, and fat distribution patterns. The aim of this study was to identify the best anthropometric measure to detect arterial stiffness as assessed by pulse wave velocity (PWV) in a racially diverse pediatric transplant population.

View Article and Find Full Text PDF

The present investigation evaluated the potential impacts of morin, a natural flavonoid, against cardiovascular disorders. Since inception until September 2024, PubMed, Scopus, and Web of Science have been searched extensively. The process involved eliminating duplicate entries and conducting a systematic review of the remaining studies post-full-text screening.

View Article and Find Full Text PDF

Alagille syndrome (ALGS) is a rare, cholestatic multiorgan disease associated with bile duct paucity, leading to cholestasis. Clinical symptoms of cholestasis include debilitating pruritus, xanthomas, fat-soluble vitamin deficiencies, growth failure, renal disease and impaired health-related quality of life (HRQoL). The main objective was to review the current literature on the epidemiological, clinical, psychosocial and economic burden of ALGS in view of the development of ileal bile acid transporter (IBAT) inhibitors.

View Article and Find Full Text PDF

Background: We aimed to evaluate how the parameters used in the diagnosis of metabolic syndrome (MetS) and parameters such as epicardial adipose tissue (EAT) thickness, insulin resistance (IR), and serum uric acid (SUA) are affected according to the severity of obesity.

Methods: A total of 120 obese patients aged 10-18 years were classified as class 1-2-3 according to their body mass index (BMI) score. SUA was measured and oral glucose tolerance tests were performed on all patients.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!