OKI Toshimichi Kagoshima University Hospital, Faculty of Medicine, Research Associate, 医学部・附属病院, 助手 (60253879)
KOSHA Shouichiro Kagoshima University Hospital, Faculty of Medicine, Assistant Professor, 医学部・附属病院, 講師 (40231310)
野口 慎一 鹿児島大学, 医学部附属病院, 助手 (90295254)
|Budget Amount *help
¥2,000,000 (Direct Cost: ¥2,000,000)
Fiscal Year 1999: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1998: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 1997: ¥900,000 (Direct Cost: ¥900,000)
Objectives: To investigate the effects of aging- and menopausal related change in body fat distribution on lifestyle-associated diseases such as hyperlipidemia.
Methods: Subjects were 482 premenopausal and 264 postmenopausal Japanese women. Age, height, weight, body mass index (BMI), menopausal status, years since menopause, and the presence or absence of physical exercise were recorded. Serum lipid levels including TC, TG, and HDL-C were measured. Trunk-leg fat ratio, percentage of body fat, and body fat mass were measured by dual-energy x-ray absorptiometry (QDR 2000).
Results: Although trunk-leg fat ratio was positively correlated with age (r=0.464, P < 0.001), the correlations of BMI, percentage of body fat, and body fat mass with age were loose. On multiple regression analysis, only the trunk-leg fat ratio was significantly correlated with the presence of hyperlipidemia. Other variables were not significant predictors of hyperlipidemia. On stepwise multiple regression analysis, trunk-leg fat ratio was correlated with BMI (standardized regression coefficient =0.511, p < 0.0001), age (0.319, P < 0.0001), and menopausal status (0.109, p < 0.05). Trunk-leg fat ratio and percentage of body fat were significantly lower in physical exercising group than in controls (P <0.001 and 0.05, respectively).
Conclusions: Menopause and aging independently induce upper body adiposity. Upper body fat distribution is the most important determinant of hyperlipidemia among the anthropometric variables. Aging- and menopausal related change in body fat distribution may be attributable to sedentariness with increasing age, decrease in ovarian steroids, less energy expenditure, and relatively high androgen environment.