Background This study aims to verify the association between neck circumference (NC) and metabolic syndrome and establish NC cut-off points to predict metabolic syndrome. Methods Weight, height, NC, waist circumference, body mass index, fasting plasma glucose, HDL cholesterol, triglycerides and blood pressure were measured in a cross-sectional and population-based study with 966 adults. The association between NC and the burden of metabolic syndrome disease was evaluated by multinomial logistic regression. Receiver operating characteristic curves were used to acquire gender-specific cut-off values and predict metabolic syndrome. The NC is a simple anthropometric measurement, has low evaluation costs, can estimate the subcutaneous fat in the upper body and is related to cardiometabolic risks. Results NC is an independent predictor of metabolic syndrome burden with high association to women. The syndrome components stratification indicated that the NC of individuals with one component was lower than those with three or more (P = 0.001). Metabolic syndrome prediction cut-off point was a NC of 39.5 cm for men and 33.3 cm for women. Conclusions Increased NC was associated with higher metabolic syndrome risks. This anthropometric parameter can be used as an additional marker for screening cardiovascular risk diseases.
Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons. Atribuição 4.0 Internacional (CC BY 4.0).O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores. Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterá-la de nenhuma forma ou utilizá-la para fins comerciais.
Obesity is currently considered a public health problem with pandemic proportions and is associated with chronic low-grade inflammation, which can predispose to the development of several chronic diseases and metabolic complications. This cross-sectional population-based study, conducted with 743 Brazilian adults, aimed to evaluate the association between inflammatory cytokines with anthropometric measurements. Sociodemographic, anthropometric, behavioral, and biochemical variables were collected. Multiple linear regression stratified by sex and adjusted for confounding factors was performed. In men, waist circumference (WC) was associated with IL-1β (3.52pg/mL; 95%CI 0.60-6.45), IL-6 (6.35pg/mL; 95%CI 0.35-12.34), IL-8 (8.77pg/mL; 95%CI 2.37-15.17), IL-10 (3.09pg/ml; 95%CI 0.56-5.61), IL12p70 (8.31pg/ml; 95%CI 3.11-13.52), TNF-α (4.22pg/ml; 95%CI 0.20-10.48). Waist-to-height ratio (WHtR) was associated with IL-6 (3.21pg/mL; 95% CI 0.02-6.39). Body mass index (BMI) was associated with IL-1β (1.50pg/mL; 95%CI 0.46-2.34), IL-6 (2.97pg/mL; 95%CI 0.78-5.16), IL-8 (4.48pg/mL; 95%CI 2.21-6.75), IL-10 (1.31pg/mL; 95%CI 0.30-2.31), IL-12p70 (3.59pg/mL; 95%CI 1.24-5.95), TNF-α (2.00pg/mL; 95%CI 0.81-3.19). In women, WC was associated with IL-6 (5.10pg/mL; 95%CI 0.68-9.51) and IL-10 (4.16pg/mL; 95%CI 1.26-7.06). BMI was associated with IL-6 (2.67pg/mL; 95%CI 0.34-4.99) and WHR was associated with TNF-α (2.84pg/mL; 95%IC 0.86-6,54). The results highlight the importance of anthropometric assessment in clinical practice and the need to develop public policies and interventions to reduce the prevalence of obesity and, consequently, of inflammation and possible metabolic complications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.