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人体测量学:一种识别印度南部城市人群社区体脂状况的新方法。

Anthropometry: a new approach to identify communal body fat status in an urban south Indian population.

机构信息

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

出版信息

Obes Res Clin Pract. 2013 May-Jun;7(3):e190-7. doi: 10.1016/j.orcp.2011.11.006.

DOI:10.1016/j.orcp.2011.11.006
PMID:23697587
Abstract

BACKGROUND AND OBJECTIVES

Deep penetration of obesity into geographical and ethnic communities based on profession is being highly evidenced by researchers. Impact of this penetration in the Indian urban population is addressed by the accepted factors of professional and cultural changes. High risk of Atherosclerosis, hyperinsulinaemia, impaired glucose tolerance; prothrombotic is not addressed by the relationship between BMI vs. body fat, while body fat plays major role in all risks. The present study attempts to prove an anthropometrical empirical formula which can be an indicator of body fat in a group, based on profession or life style.

METHODS

A total number of 159 (77 males of age 36.95 ± 14.795, 82 females of age 38.07 ± 13.16) subjects participated in the study. Body composition analysis and anthropometric measurements were performed after conducting careful clinical examination. Body fat was measured using body composition analyzer and used as a reference to justify indication of anthropometrical empirical indicator (AEI). Indicative accuracy of AEI was cross verified by male and female analysis individually.

RESULTS

Community specific mean body fat 23.15 ± 8.47 (kg) for the mean weight of 66.05 ± 13.46 (kg) indicated prevalence of excess 35% body fat. This much of body fat has not been addressed by mean BMI 25.56 ± 4.66 (kg/m(2)).

CONCLUSIONS AND INTERPRETATION

Statistical relation between AEI and body fat reflects original information of risk (where as BMI does not) in the selected community. AEI outperforms the identification of obesity affected profession or life style based communities over BMI analysis.

摘要

背景和目的

研究人员发现,肥胖已经深入到基于职业的地理和民族社区。这种渗透对印度城市人口的影响可以通过职业和文化变化的公认因素来解释。动脉粥样硬化、高胰岛素血症、葡萄糖耐量受损、促血栓形成等风险很高,但 BMI 与体脂之间的关系并不能反映这些风险,而体脂在所有风险中都起着重要作用。本研究试图证明一种基于职业或生活方式的人体脂肪的人体测量学经验公式,作为一个群体的体脂指标。

方法

共有 159 名(男性 77 名,年龄 36.95±14.795 岁;女性 82 名,年龄 38.07±13.16 岁)受试者参与了这项研究。在进行了仔细的临床检查后,进行了身体成分分析和人体测量学测量。使用身体成分分析仪测量体脂,并将其作为验证人体测量学经验指标(AEI)指示的参考。单独对男性和女性进行分析,交叉验证 AEI 的指示准确性。

结果

特定社区的平均体脂为 23.15±8.47(kg),平均体重为 66.05±13.46(kg),表明有 35%以上的人存在过多体脂。这部分体脂并没有被平均 BMI 25.56±4.66(kg/m2)所涵盖。

结论和解释

AEI 与体脂之间的统计关系反映了所选社区中风险的原始信息(而 BMI 则没有)。AEI 比 BMI 分析更能识别受肥胖影响的职业或生活方式社区。

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引用本文的文献

1
Justification of anthropometric empirical indicator (AEI) by digital chest and pelvic X-rays: a comparative scenario with DXA on obesity grounds.通过数字化胸部和骨盆X光片对人体测量学经验指标(AEI)进行论证:基于肥胖因素与双能X线吸收法(DXA)的比较情况
J Endocrinol Invest. 2014 Jun;37(6):547-57. doi: 10.1007/s40618-014-0067-8. Epub 2014 Mar 28.
2
Multiparametric body composition analysis and anthropometric empirical indicator: obesity based south Indian perspective.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。
J Endocrinol Invest. 2013 Oct;36(9):672-80. doi: 10.3275/8921. Epub 2013 Apr 2.