Background: This study was carried out to determine the usefulness of regional body fat measured by dual energy X-ray absorptiometry (DEXA) by examining the relationship between regional body fat and metabolic risk factors. Methods: A total of 98 women aged 18∼65 years with central obesity (waist circumference ≥80 cm) took the evaluation for metabolic risk factors (blood pressure, fasting glucose, insulin, high sensitive c-reactive protein (hs-CRP), lipid profile, homeostasis model assessment of insulin resistance (HOMA-IR)) and the anthropometric measurement, and regional body fat measurement using DEXA. The relationship of regional body fat with the metabolic risk factors, the metabolic syndrome (MS) defined by the International Diabetes Federation and insulin resistance (IR, defined by HOMA-IR≥2.48) were assessed. The analyses were conducted using regression and logistic regression analyses. Results: After adjustment for age and total body fat (%), legs fat (%) was significantly and negatively associated with LDL-C, triglyceride, HOMA-IR, and hs-CRP, while positively with HDL-C. The 1% increase of legs fat was associated with the MS by odds ratio of 0.82 (95% C.I 0.71∼0.96) and with the IR by odds ratio of 0.80 (95% C.I. 0.67∼0.95). Trunk fat (%) was significantly and positively associated with LDL-C, triglycerides, and HOMA-IR. The 1% increase of trunk fat was associated with the MS by odds ratio of 1.32 (95% C.I. 1.03∼1.71) and with the IR by odds ratio of 1.33 (95% C.I. 1.01∼1.77). The ratio of android fat to gynoid fat was significantly and positively associated with LDL-C, triglycerides, glucose, and HOMA- IR, while negatively with HDL-C. The 0.1 increase of the ratio was associated with the MS by odds ratio of 1.66 (95% C.I. 1.07∼2.60). Conclusion: The trunk fat, and legs fat, the ratio of android fat to gynoid fat assessed by DEXA seemed to be useful indicators to predict the metabolic risk factors in women with central obesity. (J Korean Acad Fam Med 2008;29:506-512)
Background : This study was aimed to quantify the relationship between the bone mineral density and the body composition in Korean postmenopausal women.
Methods : Whole and regional body composition and bone mineral density (BMD) were measured with DEXA in 149 postmenopausal women. Data were analysed using ANOVA test, Pearson correlation and multiple linear regression.
Results : The mean age was 53.4±6.9 years, the mean years since menopause(YSM) was 5.4±6.7 years, the mean height was 154.5±4.9 cm and the mean weight was 56.8±7.4 kg. They were classified under non-osteoporosis (n=40), osteopenia (n=66) or osteoporosis (n=43) group. There were significant differences in age, YSM, height, total lean body mass, bone mineral content (BMC), regional lean body mass of leg and trunk and regional BMD among the three groups (P＜0.05). In contrast, weight, BMI, total fat mass and body fat percentage were not significantly different among the three groups. The BMD of total body, lumbar spine and proximal femur had a negative correlation with age and YSM but positive correlation with height, weight, total lean body mass (P＜0.05). From multiple linear models, age, total lean body mass, total fat mass and YSM were found to be the best predictor of total BMD (R2=0.460, P＜0.05) and age and total lean body mass were found to be the best predictor of BMD of lumbar spine (R2=0.223, P＜0.001) and proximal femur (R2=0.351, P＜0.001).
Conclusion : From these results it is suggested that lean body mass is the major determinant of BMD at total, lumbar spine and proximal femur in postmenopausal women.
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