高血压,高脂血症及糖代谢异常与肥胖的聚集现象

采用典型相关分析及单因素方差分析，在江苏农村自然人群中探讨肥胖与高血压，高脂血症及糖代谢异常的聚集现象，并寻找与这种聚集现象关系最密切的人体测量指标。典型相关分析结果表明：人体测量指标与代谢性指标相关；人体测量指标中体重指数的贡献最大，与代谢变量的相关性最密切；代主为量中男性血脂、女性血压贡献最大，与人体测量变量相关最密切的是血压；单因素方差分析表明，ＢＭＩ受代谢变量危险性分组的影响最大。因此认为

The Clustering of Hypertention, Hyperlipidemia and Hyperglycemia with Obesity

Using canonical correlation analysis and one way analysis of variance the relation between sets of anthropometric and metabolic variables was explored in free living individuals of Jiangsu rural areas. The objectives of these analyses are to determine the degree to which hypertention, hyperlipidemia and hyperglycemia cluster together, and to determine which clinical measure of obesity is most closely associated with such clustering. Canonical correlations were statistically significant between anthropometric and metabolic variables in all sex age specific groups. Standardized canonical coefficients from canonical analyses suggest that the weight for body mass index (BMI) is highest and positive in all sex age groups except for older group in men. Of the anthropometric variables, BMI consistently demonstrates the highest loading values. Of the metabolic variables the loading of blood pressure is generally the largest. BMI ranks most affected by the risk categorization. These analyses demonstrate significant clustering of hypertention, hyperlipidemia, hyperglycemia in individuals with obesity. It indicates that BMI is the single and simple measure of obesity most highly correlated with blood pressure.