Bootstrapped stepwise logistic regression was used to identify potential predictors of fl among 13 variables of interest [ gender , age , ethanol intake , alanine transaminase , aspartate transaminase , gamma - glutamyl - transferase ( ggt ) , body mass index ( bmi ) , waist circumference , sum of 4 skinfolds , glucose , insulin , triglycerides , and cholesterol ] 使用靴带逐步逻辑回归在13个变量[性别，年龄，酒精摄入量，丙氨酸转移酶，天冬氨酸转移酶， -谷氨酞转移酶（ ggt ） ，体质指数（ bmi ） ，腰围， 4点皮肤褶总和，血糖，胰岛素，甘油三酯，胆固醇]中识别出潜在的预测因子。
The study found statistical support was the greatest for the presence of four different groups within the sample : these groups included girls with higher blood pressure and waist circumference alues ; girls with higher leels of triglycerides and lower leels of hdl cholesterol ; girls with more desirable alues on all of the metabolic syndrome indicators , and girls with more undesirable alues on all of the indicators 研究发现这些病例中有四类的数据支持最为充分：包括高血压和大腹围；甘油三酯偏高和高密度脂蛋白胆固醇偏低；代谢综合征的所有指征均符合要求；及并非所有指征均符合要求。
