Hodge A M, de Courten M P, Dowse G K, Zimmet P Z, Collier G R, Gareeboo H, Chitson P, Fareed D, Hemraj F, Alberti K G, Tuomilehto J
International Diabetes Institute, Melbourne, Australia.
Obes Res. 1998 Sep;6(5):319-25. doi: 10.1002/j.1550-8528.1998.tb00358.x.
To investigate whether relative baseline leptin levels predict long-term changes in adiposity and/or its distribution.
In a longitudinal study of 2888 nondiabetic Mauritians aged 25 years to 74 years who participated in population-based surveys in 1987 and 1992, changes in body mass index (BMI), waist/hip ratio (WHR), and waist circumference were compared between "hyperleptinemic," "normoleptinemic," and "hypoleptinemic" groups. "Relative leptin levels" were calculated as standardized residuals from the regression of log10 leptin on baseline BMI to provide a leptin measure independent of BMI. Analyses were performed within each sex. A linear regression model was used to assess the effect of standardized residuals on changes in BMI, WHR, and waist circumference, independent of baseline BMI, age, fasting insulin, and ethnicity.
After adjusting for age and baseline BMI by analysis of covariance, there was no difference in changes in BMI, WHR, or waist circumference between men with low, normal, or high relative leptin levels. Among women, there was a significant difference in deltaWHR across leptin groups, such that the largest increase occurred in the "normal" leptin group. For both men and women, the linear regression models explained approximately 10% of variation in dependent variables, and the only significant independent variables were age, BMI, and being of Chinese origin, compared with Indian origin.
These findings do not support a role for leptin concentration in predicting weight gain or changes in fat distribution in adults over a 5-year period.
研究相对基线瘦素水平是否能预测肥胖及其分布的长期变化。
在一项对2888名年龄在25岁至74岁之间的非糖尿病毛里求斯人的纵向研究中,这些人于1987年和1992年参与了基于人群的调查,比较了“高瘦素血症组”“正常瘦素血症组”和“低瘦素血症组”之间体重指数(BMI)、腰臀比(WHR)和腰围的变化。“相对瘦素水平”通过将log10瘦素对基线BMI进行回归得到的标准化残差来计算,以提供一个独立于BMI的瘦素测量指标。分析在每个性别中进行。使用线性回归模型评估标准化残差对BMI、WHR和腰围变化的影响,该影响独立于基线BMI、年龄、空腹胰岛素和种族。
通过协方差分析对年龄和基线BMI进行调整后,相对瘦素水平低、正常或高的男性在BMI、WHR或腰围变化方面没有差异。在女性中,瘦素组之间的ΔWHR存在显著差异,最大的增加发生在“正常”瘦素组。对于男性和女性,线性回归模型解释了因变量中约10%的变异,唯一显著的自变量是年龄、BMI以及与印度裔相比的华裔。
这些发现不支持瘦素浓度在预测成年人5年内体重增加或脂肪分布变化方面的作用。