Different anthropometric indicators of central obesity can predict hypertension in older adults

Author:

Novaes Vilmary SORCID,Passos Rafael SORCID,Ribeiro Ícaro J. S.ORCID,Freire Ivna VORCID,Schettino LudmilaORCID,Araujo Claudineia MORCID,Casotti Cezar AORCID,Pereira RafaelORCID

Abstract

Objective: to investigate the association between hypertension and anthropometric indicators of central obesity, obtained from two anatomical sites in older adults.Methodology: cross-sectional study that involved 145 older adults, from whom socioeconomic and demographic data and anthropometric indicators of central obesity (waist circumference [CC] and abdominal circumference [CA]) were obtained, which were considered independent variables. A logistic regression model was used to analyze associations and for the discriminatory power of the cut-off points of the hypertension anthropometric indicators, receiver operating characteristic (ROC) curve was performed. Comparisons were made between ROC curves, with the aim of identifying significant differences in the discriminatory power of the anthropometric indicators studied.Results: out of the 145 individuals, 79 were females (54%) and 66 males (46%). Results showed a high prevalence of arterial hypertension in men (69,7%) and women (73,4%). Both CC and CA were significantly associated with hypertension in both genders. Parameters of the ROC curve revealed that both anthropometric indicators of central obesity exhibit good discriminatory power for hypertension in the studied population. The cut-off point for CC was > 83,2 cm for men and > 82,6 cm for women; while for CA it was > 85,1 cm and > 85,4 cm for men and women, respectively.Conclusion: CA and CC are significantly associated with hypertension in both genders, and there is no superiority between them to predict hypertension in the elderly population.

Publisher

Universidad Nacional de Colombia

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3