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Comparing Utility of Anthropometric Indices Based on Gender Differences in Predicting Dyslipidaemia in Healthy Adults

机译:比较基于性别差异的人体测量指标在预测健康成人血脂异常中的作用

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Introduction: Anthropometry is a simple reliable method for quantifying body proportions by measuring body length, weight and circumferences. Aim: Our intention in this study was to compare sensitivities and positive predictive values of waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR) and body mass index (BMI) in identifying healthy subjects, males and females separately for identifying obesity associated dyslipidemia. Materials and Methods: We analysed randomly selected 100 healthy subjects (males:58%, females:42%) between 25 and 60 years of age attending tertiary health care center in South India, after obtaining informed consent and Institutional Ethical Clearance. WC, WHR, WHtR and BMI of all the enrolled subjects were measured and estimated. Their fasting serum lipid profile was assessed. Subjects were divided based on their gender and each group was then categorized as obese and non-obese using anthropometric parameters and their individual serum lipid profile values depending on the cut off standards as per WHO and ATP III guidelines and compared. Data obtained was statistically analysed. Results: Mean values of WC, WHR, WHtR and BMI were highly significant (p<0.000) in obese in both males (97.43 ± 6.21cm, 0.96 ± 0.04, 0.61 ± 0.05, 27.72 ± 2.45kg/m2) and females (91.82 ± 5.18cm, 0.92 ± 0.06, 0.60 ± 0.04, 27.70 + 3.44kg/m2) when considered separately compared to non-obese males (82.27 ± 5.33cm, 0.83 ± 0.033, 0.51 ± 0.03, 22.80 ± 2.11kg/m2) and females (71.68 ± 7.33cm, 0.78 ± 0.03, 0.48 ± 0.03, 21.82 ± 1.98kg/m2 respectively). WC was more sensitive for predicting the altered lipid profile (85%) in females and WHR (65%) in males. WHR showed higher ability to correctly predict the occurrence of dyslipidemia in the obese males (90% positive predictive value) and WHtR in females (92%). Conclusion: The present study inferred that WC, WHR are more sensitive while WHR and WHtR have a higher positive predictive value than BMI in identifying dyslipidemia in healthy males and females.
机译:简介:人体测量学是一种通过测量身体的长度,体重和周长来量化身体比例的简单可靠的方法。目的:我们在这项研究中的目的是比较腰围(WC),腰臀比(WHR),腰高比(WHtR)和体重指数(BMI)的敏感性和阳性预测值,以识别健康受试者,男性和女性分别用于识别肥胖相关的血脂异常。资料和方法:在获得知情同意和机构伦理审查后,我们随机分析了进入南印度三级医疗中心的年龄在25至60岁之间的100名健康受试者(男性:58%,女性:42%)。 。测量并估计所有入选受试者的WC,WHR,WHtR和BMI。评估他们的空腹血清脂质谱。根据性别对受试者进行分类,然后根据世界卫生组织(WHO)和ATP III指南的临界标准,使用人体测量学参数及其各自的血脂谱值将每组分为肥胖和非肥胖两类,并进行比较。对获得的数据进行统计分析。结果:男性,男性(97.43±6.21cm,0.96±0.04、0.61±0.05、27.72±2.45kg / m2)和女性(91.82)的肥胖者的WC,WHR,WHtR和BMI平均值均极显着(p <0.000)。与非肥胖男性(82.27±5.33cm,0.83±0.033、0.51±0.03、22.80±2.11kg / m2)分别考虑时,±5.18cm,0.92±0.06、0.60±0.04、27.70 + 3.44kg / m2)和女性(分别为71.68±7.33厘米,0.78±0.03、0.48±0.03、21.82±1.98千克/平方米)。 WC对于预测女性的脂质分布改变(85%)和男性的WHR(65%)更敏感。 WHR显示出较高的正确预测肥胖男性血脂异常发生的能力(阳性预测值为90%),而女性WHtR的预测能力较高(92%)。结论:本研究推断在健康男性和女性中血脂异常的识别中,WC,WHR较BMI敏感,而WHR和WHtR的阳性预测价值更高。

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