Prediction of Hypertension Based on Anthropometric Parameters in Adolescents in Eastern Sudan: A Community-Based Study.

IF 2.6 Q2 PERIPHERAL VASCULAR DISEASE Vascular Health and Risk Management Pub Date : 2024-11-20 eCollection Date: 2024-01-01 DOI:10.2147/VHRM.S491857
Awab H Saad, Ahmed A Hassan, Abdullah Al-Nafeesah, Ashwaq AlEed, Ishag Adam
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Abstract

Background: Anthropometric measures such as body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) are associated with elevated blood pressure and hypertension in adolescents. We aimed to assess these anthropometric measures (BMI, WC, and WHtR) and examine their association with hypertension in adolescents.

Methods: Adolescents' BMI, mid-upper arm circumference (MUAC), WC, body roundness index (BRI), waist-to-hip ratio (WHR), WHtR, and a body shape index(ABSI) values were measured and calculated. Receiver operating characteristic curves (ROCs) were created to determine the discriminatory capacities of these anthropometric parameters for hypertension. The cutoff points for these parameters were identified using Youden's index.

Results: A total of 401 adolescents [186(46.4%) were females and 215 (53.6%) were males] were included. The median (interquartile range, IQR) age was 14.0 (12.1‒16.2) years. Thirty-six adolescents were found to have hypertension. Among the anthropometric parameters, MUAC (area under the curve (AUC] = 0.76, at the cutoff 26.1 cm, sensitivity = 61.0, specificity = 83.0), WC (AUC= 0.74, at the cutoff 70.3 cm, sensitivity = 66.7, specificity = 77.0), BMI (AUC= 0.73, at the cutoff 17.4 kg/m2, sensitivity = 83.3, specificity = 59.0), and hip circumference (HC) (AUC= 0.72, at the cutoff 91.0 cm, sensitivity = 55.6, specificity = 83.0) performed fairly in detecting hypertension in adolescents, whereas WHR, WHtR, ABSI, and BRI performed poorly. A univariate analysis showed that, except for WHR, all anthropometric parameters (BMI, MUAC, WC, HC, WHtR, BRI, and ABSI) were associated with hypertension. However, in a multivariate analysis, only increased MUAC (adjusted odds ratio [AOR]= 1.24, 95% CI= 1.03‒1.50) was associated with hypertension.

Conclusion: This study showed that MUAC, WC, BMI, and HC could be used to detect hypertension in adolescents. Other parameters,namelyWHR, WHtR, ABSI, and BRI, perform poorly in this regard. Larger studies are needed in the future.

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根据苏丹东部青少年的人体测量参数预测高血压:一项基于社区的研究。
背景:体重指数(BMI)、腰围(WC)和腰围身高比(WHtR)等人体测量指标与青少年血压升高和高血压有关。我们旨在评估这些人体测量指标(体重指数、腰围和腰高比),并研究它们与青少年高血压的关系:方法:测量并计算了青少年的体重指数(BMI)、中上臂围(MUAC)、腹围(WC)、体圆指数(BRI)、腰臀比(WHR)、体形指数(WHtR)和体形指数(ABSI)值。绘制了接收者操作特征曲线(ROC),以确定这些人体测量参数对高血压的鉴别能力。使用尤登指数确定了这些参数的临界点:共纳入 401 名青少年[186 名(46.4%)女性和 215 名(53.6%)男性]。年龄中位数(四分位数间距,IQR)为 14.0(12.1-16.2)岁。36名青少年患有高血压。在人体测量参数中,MUAC(曲线下面积(AUC)= 0.76,临界值为 26.1 厘米,灵敏度=61.0,特异度=83.0)、WC(AUC= 0.74,临界值为 70.3 厘米,灵敏度=66.7,特异度=77.0)、BMI(AUC= 0.73,临界值为 17.4 kg/m2,灵敏度 = 83.3,特异性 = 59.0)和臀围(HC)(AUC= 0.72,临界值为 91.0 cm,灵敏度 = 55.6,特异性 = 83.0)在检测青少年高血压方面表现良好,而 WHR、WHtR、ABSI 和 BRI 表现较差。单变量分析表明,除 WHR 外,所有人体测量参数(BMI、MUAC、WC、HC、WHtR、BRI 和 ABSI)都与高血压有关。然而,在多变量分析中,只有 MUAC 的增加(调整赔率 [AOR]= 1.24,95% CI= 1.03-1.50)与高血压有关:本研究表明,MUAC、WC、BMI 和 HC 可用于检测青少年高血压。结论:本研究表明,MUAC、WC、BMI 和 HC 可用于检测青少年高血压,而其他参数,即 WHR、WHtR、ABSI 和 BRI 在这方面的表现较差。今后需要进行更大规模的研究。
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来源期刊
Vascular Health and Risk Management
Vascular Health and Risk Management PERIPHERAL VASCULAR DISEASE-
CiteScore
4.20
自引率
3.40%
发文量
109
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed journal of therapeutics and risk management, focusing on concise rapid reporting of clinical studies on the processes involved in the maintenance of vascular health; the monitoring, prevention, and treatment of vascular disease and its sequelae; and the involvement of metabolic disorders, particularly diabetes. In addition, the journal will also seek to define drug usage in terms of ultimate uptake and acceptance by the patient and healthcare professional.
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Prediction of Hypertension Based on Anthropometric Parameters in Adolescents in Eastern Sudan: A Community-Based Study. Characteristic of 24-Hour Blood Pressure Dipping Patterns in Hypertensive Stroke Patients. Assessment of Coronary Artery Disease in Non-Valvular Atrial Fibrillation: Is This Light at the End of the Tunnel? Misdiagnosis of Chronic Heart Failure in Patients with Type 2 Diabetes Mellitus in Primary Care: A Report of Two Cases and Literature Review. Clinical Accuracy of the G.LAB MD41A0 Upper Arm Blood Pressure Monitor in Pregnancy and Pre-Eclampsia Using the AAMI/ESH/ISO as Reference Standard.
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