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人体测量变量诊断儿童和青少年高血压的准确性。

Diagnostic Precision of Anthropometric Variables for the Detection of Hypertension in Children and Adolescents.

机构信息

Primary Care Emergency Service (SUAP) South Sanitary Area, 14850 Córdoba, Spain.

Department of Nursing, Faculty of Medicine and Nursing, University of Córdoba, 14004 Córdoba, Spain.

出版信息

Int J Environ Res Public Health. 2020 Jun 19;17(12):4415. doi: 10.3390/ijerph17124415.

Abstract

: High blood pressure (HBP) is a health problem the prevalence of which has increased in young populations. Overweight and obesity in early ages have been directly related to its development. Due to the impact of HBP, it is necessary to provide tools that facilitate its early diagnosis, with useful anthropometric variables being those that assess obesity. The objective of this paper was to determine the diagnostic accuracy of anthropometric variables to detect HBP. A cross-sectional study was conducted on 265 students aged 6-16. The diagnosis of HBP was made following the criteria proposed by the Spanish Association of Pediatrics. Through different statistical methods, the association between anthropometric variables of general obesity with HBP was analyzed. Waist circumference (WC) showed the best diagnostic capacity (area under the receiver operating characteristic curve = 0.729), with a sensitivity and specificity of 72.2% and 76%, respectively, for a cut-off point of 73.5 cm. In the adjusted multivariate analysis, an association was found between HBP and anthropometric variables: WC (odds ratio (OR) = 10.7), body mass index (OR = 7.5), waist-to-height ratio (OR = 5.5) and body fat percentage (OR = 5.3) ( < 0.05). The anthropometric variables studied showed a moderate predictive capacity for HBP, highlighting WC, which showed the strongest association with HBP in the infant and child population.

摘要

高血压(HBP)是一种健康问题,其患病率在年轻人中有所增加。超重和肥胖与它的发展有直接关系。由于 HBP 的影响,有必要提供有助于早期诊断的工具,有用的人体测量变量是评估肥胖的那些变量。本文旨在确定人体测量变量对 HBP 的诊断准确性。

进行了一项横断面研究,共纳入 265 名 6-16 岁的学生。HBP 的诊断采用西班牙儿科学会提出的标准。通过不同的统计方法,分析了一般肥胖的人体测量变量与 HBP 之间的相关性。

腰围(WC)显示出最佳的诊断能力(受试者工作特征曲线下面积=0.729),截断值为 73.5cm 时,灵敏度和特异性分别为 72.2%和 76%。在调整后的多变量分析中,发现 HBP 与人体测量变量之间存在关联:WC(比值比(OR)=10.7)、体重指数(OR=7.5)、腰高比(OR=5.5)和体脂肪百分比(OR=5.3)(<0.05)。

研究的人体测量变量对 HBP 具有中等预测能力,WC 突出显示,在婴幼儿人群中与 HBP 的相关性最强。

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