Neck circumference and the burden of metabolic syndrome disease: a population-based sample.

Autor:	Zanuncio VV; Department of Nursing and Medicine, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil., Sediyama CMNO; Department of Nursing and Medicine, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil., Dias MM; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil., Nascimento GM; Department of Nutrition, Universidade Federal de Santa Catarina, Santa Catarina 88040-900, Brazil., Pessoa MC; Department of Nutrition-School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil., Pereira PF; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil., Silva MRI; Department of Physical Education, Universidade Federal de Juiz de Fora, Governador Valadares 35010-177, Brazil., Segheto KJ; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil., Longo GZ; Department of Nutrition, Universidade Federal de Santa Catarina, Santa Catarina 88040-900, Brazil.
Jazyk:	angličtina
Zdroj:	Journal of public health (Oxford, England) [J Public Health (Oxf)] 2022 Dec 01; Vol. 44 (4), pp. 753-760.
DOI:	10.1093/pubmed/fdab197
Abstrakt:	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. (© The Author(s) 2021. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
Databáze:	MEDLINE
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