Which obesity indicators are better predictors of metabolic risk?: healthy twin study.

@article{citeulike:2759014, abstract = {No consensus exists as to the most sensitive and specific obesity indicator associated with metabolic risk factors. We aimed to validate anthropometry as the predictor for obesity-related metabolic risk factors through comparison with direct body composition measures in Korean adults. A total of 995 Korean women and 577 Korean men who participated in the Healthy Twin study were the subjects. Anthropometric measurements included BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHTR). Direct body composition measures included the percentage of body fat (\%BF) measured using dual-energy X-ray absorptiometry scanners and bioelectrical impedance analyzer (BIA). The following criteria were used to define abnormal metabolic risk factors: blood pressure >/= 130/85 mm Hg, fasting glucose (>/= 100 mg/dl), insulin (>/= 25 muU/ml), homeostasis model assessment (HOMA) (>/= 2.61), high-density lipoprotein (HDL) (<40 mg/dl for men or <50 mg/dl for women), triacylglycerol (>/= 150 mg/dl), uric acid (>7 mg/dl for men or >6 mg/dl for women), high-sensitivity C-reactive protein (hs-CRP) (>/= 2.11 mg/l). In multiple regression analyses (adjusted for age, education, smoking, alcohol, exercise and past/current medical history, and treated families as a random effect), WC, WHTR, and BMI were consistently associated with all metabolic risk factors regardless of the subject's gender. Some of the areas under the receiver-operating characteristic curves regarding abnormal metabolic risk factors were significantly higher for the three indicators of central obesity than for \%BF. Our study validates the usefulness of anthropometry over direct body fat measures to predict metabolic risks.Obesity (2008) 16 4, 834-840. doi:10.1038/oby.2007.109.}, address = {1Department of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, Pusan, Korea.}, author = {Lee, K. and Song, Y. M. and Sung, J. }, citeulike-article-id = {2759014}, doi = {http://dx.doi.org/10.1038/oby.2007.109}, issn = {1930-7381}, journal = {Obesity (Silver Spring, Md.)}, keywords = {anthropometry, bmi, obesity}, month = {April}, number = {4}, pages = {834--840}, posted-at = {2008-07-01 10:47:57}, priority = {2}, title = {Which obesity indicators are better predictors of metabolic risk?: healthy twin study.}, url = {http://dx.doi.org/10.1038/oby.2007.109}, volume = {16}, year = {2008} }

TY - JOUR ID - citeulike:2759014 L3 - citeulike-article-id:2759014 TI - Which obesity indicators are better predictors of metabolic risk?: healthy twin study. JF - Obesity (Silver Spring, Md.) VL - 16 IS - 4 SP - 834 EP - 840 AD - 1Department of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, Pusan, Korea. SN - 1930-7381 N2 - No consensus exists as to the most sensitive and specific obesity indicator associated with metabolic risk factors. We aimed to validate anthropometry as the predictor for obesity-related metabolic risk factors through comparison with direct body composition measures in Korean adults. A total of 995 Korean women and 577 Korean men who participated in the Healthy Twin study were the subjects. Anthropometric measurements included BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHTR). Direct body composition measures included the percentage of body fat (%BF) measured using dual-energy X-ray absorptiometry scanners and bioelectrical impedance analyzer (BIA). The following criteria were used to define abnormal metabolic risk factors: blood pressure >/= 130/85 mm Hg, fasting glucose (>/= 100 mg/dl), insulin (>/= 25 muU/ml), homeostasis model assessment (HOMA) (>/= 2.61), high-density lipoprotein (HDL) (<40 mg/dl for men or <50 mg/dl for women), triacylglycerol (>/= 150 mg/dl), uric acid (>7 mg/dl for men or >6 mg/dl for women), high-sensitivity C-reactive protein (hs-CRP) (>/= 2.11 mg/l). In multiple regression analyses (adjusted for age, education, smoking, alcohol, exercise and past/current medical history, and treated families as a random effect), WC, WHTR, and BMI were consistently associated with all metabolic risk factors regardless of the subject's gender. Some of the areas under the receiver-operating characteristic curves regarding abnormal metabolic risk factors were significantly higher for the three indicators of central obesity than for %BF. Our study validates the usefulness of anthropometry over direct body fat measures to predict metabolic risks.Obesity (2008) 16 4, 834-840. doi:10.1038/oby.2007.109. KW - anthropometry KW - bmi KW - obesity AU - Lee, K AU - Song, YM AU - Sung, J PY - 2008/04// UR - http://dx.doi.org/10.1038/oby.2007.109 ER -