Zusammenfassung

To accurately understand the obesity levels and health conditions based on the regressive equation of Body Fat Percentage (BFP). According to different fitness habits, sixty four middle-aged women were divided into two groups:fitness group and non fitness group.After gathering the information of their BFP, body circumference and two derived indices BMI and WHR respectively during the independent measuring, correlation analysis and stepwise sifting regression analysis were made. Finally, the predicted regressive equation of estimating the middle-aged female BFP was worked out.To the women in fitness group,the correlation of WHR and BFP reaches maximum, i.e. r =0.854; the correlation of BMI and BFP reaches minimum, i.e. r =0.657. To the women in non fitness group, the correlation of BMI and BFP reaches maximum, i.e. r =0.877; the correlation of WHR and BFP reaches minimum, i.e. r =0.753. That is to say,it is different for fitness group and non fitness group to identify obesity levels by using BMI,WC,HC and WHR . This study established the proper formula to calculate the fat percentage for middle-aged women: Fat % to fitness group by y =38.514× WHR -1.7043; Fat % to non fitness group by y =3.481+0.112× HC +0.943× BMI . It is different for fitness group and non fitness group to identify obesity levels of middle-aged women by using single criterion ( BMI or WHR ). BFP of middle-aged women could be easily worked out via the optimized equation, which takes BMI , WHR and body circumference as independent variables and BFP of middle-aged women as dependent variable and sets up the regressive equation.