%0 Journal Article
%T Surface Anthropometric Indices in Obesity-related Metabolic Diseases and Cancers
%A Chao-Yang Yang
%A Chien-Yu Peng
%A Ying-Chieh Liu
%A Wen-Zhi Chen
%J Chang Gung Medical Journal
%D 2011
%I 
%X Metabolic syndrome (MetS), cardiovascular diseases(CVD) and cancers such as colon cancer (CCa), prostate cancer(PCa) and breast cancer (BCa) have been recognized asobesity-initiated diseases. The development of obesity cancause changes in metabolic and hormonal conditions, whichcan result in the storage of excess energy in different forms inthe human body. Existing anthropometric data are useful in theprognosis of these diseases. Although frequently studied, thereis disagreement on the applicability, reliability and trends ofweight, height, waist circumference (WC) and relevant indices.WC is generally accepted as a key marker in CVD and CCarisk assessment whereas more evidence of the usefulness ofWC-CVD, WC-PCa and WC-BCa correlations is needed. Thebody mass index, which has been widely used as a determinantof obesity, has a strong connection with CCa risk in men andyoung women, but an inconsistent connection with BCa. Cross-referencing measurements,with indices such as the waist-to-height ratio (WHtR) and waist-to-hip ratio (WHR),enhances the association with diseases, e.g. WHtR-CVD and WHR-CCa, and connectionsare strong. This idea is further applied to multiple referencing. For example, theWHtR/WHR has been studied and found highly correlated with the MetS risk in Asia. Inaddition, latent issues (such as tools or techniques for surface anthropometric measurement),which could affect the prognosis of diseases, have been discussed. To this end, three-dimensionaltechnology is suggested as a reliable tool for various anthropometric data collectionand analysis in preventive medicine.
%K obesity
%K anthropometric indices
%K metabolic syndrome
%K cardiovascular diseases
%K cancer
%K measurement error
%U http://memo.cgu.edu.tw/cgmj/3401/340101.pdf