BACKGROUND: There is great need for simple anthropometric measures that predict risk. The authors explored the relationship between body composition measures and features of the metabolic syndrome (MtS) in women aged between 20 and 50 years with class I obesity. METHODS: This is a cross-sectional study of 49 obese (BMI 30-35) women recruited into a weight management randomized trial. An analysis was conducted of the baseline weight, anthropometric measures, skin-fold thickness, bioelectrical impedance, whole body dual-energy x-ray absorptiometry (DEXA), and their relationships with the features of the MtS. RESULTS: All women but one (n=48) had a population risk waist circumference of >88 cm. 16 of the 49 (33%) fulfilled the criteria of the metabolic syndrome. Simple anthropometric measures provided the strongest correlations with the presence of the MtS. Cut-off values were selected using receiver operator characteristics. Waist circumference of >100 cm and hip circumference <115cm was associated with odds ratios of 5.2 (95% CI, 1.4-20) and 12.3 (95% CI, 3.0-51) respectively for the MtS. Regional DEXA analysis showed that lower leg fat mass rather than fat-free mass was associated with the MtS. The dyslipidemia of the MtS was associated with a lower leg fat mass, while higher HbAlc levels and HOMA, an indirect measure of insulin resistance, were seen with increased trunk fat. Percentage fat as measured by skin-fold thickness and bioelectrical impedance were not related to any features. Women with the metabolic syndrome were found to have lower bone mineral content as measured by DEXA. CONCLUSION: Weight distribution is highly predictive of metabolic risk. Smaller hip and larger waist circumference provided independent effect. BMI adjusted anthropometric measures may be of value.
BACKGROUND: There is great need for simple anthropometric measures that predict risk. The authors explored the relationship between body composition measures and features of the metabolic syndrome (MtS) in women aged between 20 and 50 years with class I obesity. METHODS: This is a cross-sectional study of 49 obese (BMI 30-35) women recruited into a weight management randomized trial. An analysis was conducted of the baseline weight, anthropometric measures, skin-fold thickness, bioelectrical impedance, whole body dual-energy x-ray absorptiometry (DEXA), and their relationships with the features of the MtS. RESULTS: All women but one (n=48) had a population risk waist circumference of >88 cm. 16 of the 49 (33%) fulfilled the criteria of the metabolic syndrome. Simple anthropometric measures provided the strongest correlations with the presence of the MtS. Cut-off values were selected using receiver operator characteristics. Waist circumference of >100 cm and hip circumference <115cm was associated with odds ratios of 5.2 (95% CI, 1.4-20) and 12.3 (95% CI, 3.0-51) respectively for the MtS. Regional DEXA analysis showed that lower leg fat mass rather than fat-free mass was associated with the MtS. The dyslipidemia of the MtS was associated with a lower leg fat mass, while higher HbAlc levels and HOMA, an indirect measure of insulin resistance, were seen with increased trunk fat. Percentage fat as measured by skin-fold thickness and bioelectrical impedance were not related to any features. Women with the metabolic syndrome were found to have lower bone mineral content as measured by DEXA. CONCLUSION: Weight distribution is highly predictive of metabolic risk. Smaller hip and larger waist circumference provided independent effect. BMI adjusted anthropometric measures may be of value.
Authors: Jaehee Kim; ZiMian Wang; Steven B Heymsfield; Richard N Baumgartner; Dympna Gallagher Journal: Am J Clin Nutr Date: 2002-08 Impact factor: 7.045
Authors: Salim Yusuf; Steven Hawken; Stephanie Ounpuu; Leonelo Bautista; Maria Grazia Franzosi; Patrick Commerford; Chim C Lang; Zvonko Rumboldt; Churchill L Onen; Liu Lisheng; Supachai Tanomsup; Paul Wangai; Fahad Razak; Arya M Sharma; Sonia S Anand Journal: Lancet Date: 2005-11-05 Impact factor: 79.321
Authors: Eva G Katz; June Stevens; Kimberly P Truesdale; Jianwen Cai; Linda S Adair; Kari E North Journal: Metab Syndr Relat Disord Date: 2010-11-20 Impact factor: 1.894