Evaluating the correlation and prediction of trunk fat mass with five anthropometric indices in Chinese females aged 20-40 years.
OBJECTIVE
Obesity is a worldwide problem, and excess trunk fat mass (FM(trunk)) has been associated with an increased risk of diseases. The early measurement of FM(trunk) has potential importance to evaluate trunk obesity. We sought to evaluate the correlation and predication of FM(trunk) with five anthropometric indices in Chinese females.


RESULTS
A sample of 850 China females aged 20-40 years were recruited and divided into four age groups with a 5-year range in each group. Five anthropometric indices were measured or calculated. FM(trunk) in kg was measured using a dual-energy X-ray absorptiometry scanner. Principal component analysis (PCA) and multiple regression analysis were performed to develop prediction equations. There was an increasing trend of FM(trunk) and five anthropometric indices in successively older age groups. Four formed principal components (PCs) interpreted over 99% of the total variation of five relative anthropometric indices in all age groups. Regression analyses showed that four PCs combined explained a greater variance (R(2)=45.2-81.6%) in FM(trunk) than did each of the five indices alone (R(2)=2.4-72.2%).


CONCLUSIONS
Our results suggested that there is an increasing trend of FM(trunk) and five anthropometric indices with aging; that age obviously influences the relationship of FM(trunk) and the anthropometric indices studied; and that the accuracy of predicting the FM(trunk) using five anthropometric indices combined is greater than using the five indices alone.
Jiang
Cheng
C
Laboratory of Molecular and Statistical Genetics and the Key Laboratory of Protein Chemistry and Developmental Biology of Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P.R. China.
Lei
Shu-Feng
SF
Liu
Man-Yuan
MY
Xiao
Su-Mei
SM
Chen
Xiang-Ding
XD
Deng
Fei-Yan
FY
Xu
Hong
H
Tan
Li-Jun
LJ
Yang
Yan-Jun
YJ
Wang
Yan-Bo
YB
Sun
Xiao
X
Guo
Yan-Fang
YF
Guo
Jing-Jing
JJ
Zhu
Xue-Zhen
XZ
Deng
Hong-Wen
HW
D015502:Absorptiometry, Photon / Q000379:methods; D000273:Adipose Tissue / Q000033:anatomy & histology* / Q000378:metabolism*; D000328:Adult; D000367:Age Factors; D000375:Aging / Q000502:physiology*; D000886:Anthropometry; D001823:Body Composition / Q000502:physiology*; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D009765:Obesity / Q000453:epidemiology* / Q000208:ethnology; D011237:Predictive Value of Tests; D025341:Principal Component Analysis / Q000379:methods; D050507:Subcutaneous Fat, Abdominal / Q000033:anatomy & histology; D049629:Waist-Hip Ratio