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多参数身体成分分析和人体测量学经验指标:基于南印度人群的肥胖观点。

Multiparametric body composition analysis and anthropometric empirical indicator: obesity based south Indian perspective.

机构信息

Department of Biomedical Engineering, SRM University, Kattankulathur, Chennai, 603203, Tamil Nadu, India.

出版信息

J Endocrinol Invest. 2013 Oct;36(9):672-80. doi: 10.3275/8921. Epub 2013 Apr 2.

DOI:10.3275/8921
PMID:23558309
Abstract

BACKGROUND

Obesity has emerged to be a global threat to mankind. Many abnormalities such as cardiovascular diseases and diabetes emerge as outcomes of obesity.

OBJECTIVES

The present study aimed at bringing out a technique which considers the combinational measurement of all essential anthropometric circumferences and body mass index (BMI), so that the accurate assessment of obesity can be made. To date, BMI has been considered to be the main adiposity index, but the distribution of body fat was not taken into account by BMI. The contradictory outcomes by BMI pertaining to risk factor detection in various ethnicities and populations were witnessed. Also, BMI failed to gauge obesity in muscular body builders who possess small waists and large torsos.

MATERIALS AND METHODS

The study adopted a cross-sectional design and 107 subjects from urban south India participated. The measurements of body composition and anthropometry were shown.

RESULTS

The higher significant difference of ≤ 0.001 was observed in male and female studied population, when AEI (BIA1), AEI (EXTERNAL) and BMI were compared against BFM (measured by both the devices BIA1 and BIA2).

CONCLUSIONS

The results exhibited the prominence of AEI (Anthropometric Empirical Indicator, which is the combinational measurement of all essential anthropometric circumferences and BMI) over BMI. Also, the validity of the effective functioning of low-cost, portable, simple protocol based body composition analyzer on par with the highercost, standard body composition analyzer was demonstrated by the present study.

摘要

背景

肥胖已成为全球人类的一大威胁。许多异常情况,如心血管疾病和糖尿病,都是肥胖的后果。

目的

本研究旨在提出一种技术,该技术考虑了所有基本人体测量周长和体重指数(BMI)的组合测量,从而可以进行更准确的肥胖评估。到目前为止,BMI 一直被认为是主要的肥胖指数,但 BMI 并未考虑体脂肪的分布。BMI 在不同种族和人群中检测危险因素的结果存在矛盾,而且 BMI 也无法衡量那些腰部较小、躯干较大的肌肉发达的肥胖者。

材料和方法

本研究采用横断面设计,来自印度南部城市的 107 名受试者参与了该研究。展示了人体成分和人体测量的测量结果。

结果

当比较 AEI(BIA1)、AEI(EXTERNAL)和 BMI 与通过 BIA1 和 BIA2 两种设备测量的 BFM 时,研究人群中的男性和女性都观察到了具有统计学意义的显著差异(≤0.001)。

结论

结果表明,AEI(人体测量经验指标,它是所有基本人体测量周长和 BMI 的组合测量)优于 BMI。此外,本研究还证明了低成本、便携式、简单协议的基于身体成分分析仪的有效性,与更高成本、标准身体成分分析仪的有效性相当。

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