ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023
Cross-Sectional Association Between Body Fat Composition and Biomarkers of Inflammation and Endothelial Dysfunction in Children with Overweight/Obesity.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Association of Biomarkers for Dyslipidemia, Inflammation, and Oxidative Stress with Endothelial Dysfunction in Obese Youths: A Case-Control Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Limitations and Future Directions for Research on Biomarkers and Endothelial Dysfunction in UAE Youth [Response to Letter].Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Article
- Connections between serum Trimethylamine N-Oxide (TMAO), a gut-derived metabolite, and vascular biomarkers evaluating arterial stiffness and subclinical atherosclerosis in children with obesity.Frontiers in endocrinology · 2023Article
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6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Childhood obesity is most prevalent nutritional disorder worldwide. Studies on clinical correlations between body fat (BF) composition, lipid profile, inflammatory biomarkers, and endothelial dysfunction (ED) parameters in children from United Arab Emirates (UAE) are limited. Therefore, we aimed to study obesity pattern in children and determine clinical correlations with biomarkers. Methods: Children (6-13 years) from different schools were divided into obese, overweight, and normal groups based upon Centers for Disease Control and Prevention weight-for-age centiles study (n=166). Anthropometric, BF composition, lipid profile, inflammatory, and ED biomarkers were determined and analyzed using SPSS software. Results: The mean age and weight ± SD of participants were 10.6 ± 2.6 years and 48.2 ± 19.5 kg with 65% as overweight or obese. In normal, overweight, and obese group male were 40 (70.2%), 35 (67.3%), and 40 (70.2%) and female were 17 (29.8%), 17 (32.7%) and 17 (29.8%). There was significant difference in age (p<0.01), height (p< 0.01), weight (p< 0.01) among groups. Obesity markers (MCP-1, leptin, adiponectin) showed positive correlation with age, height, weight, WC, BF%, body fat mass (BFM), body muscle mass (BMM). A significant correlation (all p<0.01) of BMM with SBP (r=0.412), DBP (r=0.255), MCP-1 (r=0.558), adiponectin (r=0.635), hs-CRP (r=0.263), IL-6 (r=0.348), TNF-alpha (r=0.370), ICAM-1 (r=0.237), and VCAM-1 (r=0.343). The inflammatory markers (ICAM-1, VCAM-1) showed significant correlations with age, height, weight, WC, BF%, BFM, BMM. Leptin significantly (all p<0.01) correlated with age (r=0.470), height (r=0.423), weight (r=0.677), WC (r=0.606), BF (r=0.700), BFM (r=0.752), and BMM (r=0.524) and negatively correlated with TBW (r=-0.701). Adiponectin also showed a significant (all p<0.01) positive correlation with age, height, weight, WC, BF, BFM, and BMM. Conclusion: A strong association between BF composition, lipid profile, and inflammatory and ED biomarkers was observed in the study. Thus, immediate measures should be implemented to reduce risk of obesity and associated diseases.
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