Foster C J, Weinsier R L, Birch R, Norris D J, Bernstein R S, Wang J, Pierson R N, Van Itallie T B
Int J Obes. 1987;11(2):151-61.
The association of obesity and hyperlipidemia does not mean that fatness per se is the primary determinant of the lipid abnormality. To evaluate the contribution of fatness to fasting levels of serum triglycerides (TG), LDL cholesterol (LDL-C), and HDL cholesterol (HDL-C), we analyzed data on 368 caucasian adults (286 women, 82 men) consecutively entering a weight control program. Although most subjects were overweight, the population represented a wide spectrum of body weights and lipid levels. Study variables included body fat mass (by total body water), fat free mass (FFM), body build (chest to height ratio), fat cell size and number (from bilateral buttock biopsy specimens), upper-lower body fat pattern by arm to thigh circumference ratio, central-peripheral fat pattern by subcapsular to triceps skinfold ratio, waist to hip ratio, and the presence or absence of diabetes. Our results concurred with previously noted correlations of body weight with TG (r = 0.29, P less than 0.0001) and with HDL-C (r = -0.28, P less than 0.0001) at least in the larger sample of women, but there was no significant correlation with LDL-C (r = -0.06). In order to evaluate the relative contribution of the various components of body composition and fat distribution to lipid levels, stepwise regression analyses were performed on the subgroups of women and men. Among women: TG level was predicted best by FFM, upper body fat pattern, age, and diabetes (explaining 30 percent of TG variance); LDL-C level was predicted by age only (explaining 12 percent of variance); and HDL-C level was predicted by body build only (8 percent). Among men: TG level was predicted best by central and upper body fat patterns and diabetes (31 percent of variance); LDL-C and HDL-C levels were not significantly predicted by any of the 11 study variables. These results, obtained from cross-sectional analysis of a predominantly obese sample, suggest that lipid levels may be more directly related to body fat pattern, fat free mass and body build than to body fatness itself.
肥胖与高脂血症之间的关联并不意味着肥胖本身就是脂质异常的主要决定因素。为了评估肥胖对血清甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-C)和高密度脂蛋白胆固醇(HDL-C)空腹水平的影响,我们分析了连续进入体重控制项目的368名白种成年人(286名女性,82名男性)的数据。尽管大多数受试者超重,但该人群涵盖了广泛的体重和血脂水平范围。研究变量包括体脂量(通过总体水含量计算)、去脂体重(FFM)、体型(胸围与身高之比)、脂肪细胞大小和数量(来自双侧臀部活检标本)、上臂与大腿围度比表示的上下身脂肪分布模式、肩胛下与三头肌皮褶厚度比表示的中央与外周脂肪分布模式、腰臀比以及是否患有糖尿病。我们的结果与之前所指出的体重与TG(r = 0.29,P < 0.0001)以及与HDL-C(r = -0.28,P < 0.0001)的相关性相符,至少在女性的较大样本中如此,但与LDL-C无显著相关性(r = -0.06)。为了评估身体组成和脂肪分布的各个成分对血脂水平的相对影响,我们对女性和男性亚组进行了逐步回归分析。在女性中:TG水平最佳预测因素是FFM、上身脂肪分布模式、年龄和糖尿病(解释了TG变异的30%);LDL-C水平仅由年龄预测(解释了变异的12%);HDL-C水平仅由体型预测(8%)。在男性中:TG水平最佳预测因素是中央和上身脂肪分布模式以及糖尿病(31%的变异);LDL-C和HDL-C水平未被11个研究变量中的任何一个显著预测。这些结果来自对主要为肥胖样本的横断面分析,表明血脂水平可能与身体脂肪分布模式、去脂体重和体型的关系比与肥胖本身更为直接。