Waist-to-thigh ratio can also be a better indicator associated with type 2 diabetes than traditional anthropometrical measurements in Taiwan population.

Abstract:

PURPOSE:Using three-dimensional (3D) scanning data along with other existing subject's medical profiles to search for better anthropometric markers in association with type 2 Diabetes Mellitus (DM). METHODS:In this cross-sectional study with 6007 subjects undergoing health examination in a period of 3 years, the authors adopted data from 3D scanning with hundreds of body measures and conducted factor analysis to search for practical indicators better associated with type 2 DM. A multiple logistic regression model was used to analyze strength of association between indicators and presence of type 2 DM. RESULTS:The trunk component derived from factor analysis was positively associated with type 2 DM, regardless of obesity status. However, lower limbs component was found to be negatively associated with type 2 DM in the same stratifications. Waist was thus found as the strongest indicator among practical measures of trunk component. The strength of association between thigh and type 2 DM was found to be the highest among practical measures of lower limbs component. A marker from taking the ratio of waist to thigh (WTR) was derived from the approach which was found to be the best indicator for association with type 2 DM while comparing to body-mass index, waist circumference, or waist-hip ratio. CONCLUSION:This study offers a low-cost, noninvasive practical marker that is better associated with the presence of type 2 DM. WTR, with further study, may be used in clinical practice, epidemiological study, and preventive medicine in the future.

journal_name

Ann Epidemiol

journal_title

Annals of epidemiology

authors

Chuang YC,Hsu KH,Hwang CJ,Hu PM,Lin TM,Chiou WK

doi

10.1016/j.annepidem.2005.04.014

keywords:

subject

Has Abstract

pub_date

2006-05-01 00:00:00

pages

321-31

issue

5

eissn

1047-2797

issn

1873-2585

pii

S1047-2797(05)00264-4

journal_volume

16

pub_type

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