Abstract：
OBJECTIVE:To assess the effect of genetic and non-genetic factors on indicators derived from waist circumference (WC) and body mass index (BMI) as well as inter-indicator differences in risk assessment age-related diseases including diabetes mellitus, coronary heart disease and liver cancer. METHODS:Height, weight and WC were measured in 100 families (students and their two parents), 41 subjects with regular physical exercise routines, and 170 patients with diabetes mellitus, coronary heart disease or liver cancer. The BMI, waist-height ratio (WHtR) and waist circumference density index (WCDI) were calculated for each subject. RESULTS:BMI was less affected by genetic factors, while WHtR and WCDI were greatly affected by genetic factors as revealed using multiple regression analysis. BMI, WHtR and WCDI were all sensitive to physical exercise according to ROC analysis; among these factors, the most sensitive indicator was WHtR. However, ROC analysis demonstrated that WCDI was more effective than BMI and WHtR for assessing the risk of three diseases. CONCLUSIONS:WCDI more accurately reflects the roles of both genetic and non-genetic factors, including aging, which can better predict disease.
journal_name
Exp Gerontoljournal_title
Experimental gerontologyauthors
Xin G,Shong L,Hui Ldoi
10.1016/j.exger.2014.10.005subject
Has Abstractpub_date
2014-12-01 00:00:00pages
83-6eissn
0531-5565issn
1873-6815pii
S0531-5565(14)00280-0journal_volume
60pub_type
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