ABSTRACT
Objective This study investigated the application value of waist-to-height ratio (WHtR), body mass index (BMI), and waist-to-hip ratio (WHR) in screening for type 2 diabetes mellitus (T2DM) and high risk of T2DM. Methods A total of 7 582 subjects aged 40-75 years were randomly selected and stratified based on the results of an oral glucose tolerance test (OGTT) administered during a standard screening for T2DM in the Shougang community.Three anthropometric indices(WHtR,BMI,and WHR) were compared, with the optimal cutoffs for WHtR, BMI, and WHR identified using receiver operating characteristic curve (ROC) analysis. Using multivariate logistic regression analysis and the area under the curve(AUC)of ROC,the associations between BMI,WHR,and WHtR and T2DM were analyzed by group: normal glucose tolerance group (n= 3 080), T2DM high-risk group (n= 2 992 cases), and T2DM group(n=1 510).Results Logistic regression analysis showed that BMI,WHR,WHtR,and family history of diabetes were positively correlated with T2DM and high risk of T2DM(P<0.05 and P<0.01,respectively);WHtR was most significant, with odds ratios of 90.409 and 69.285, respectively. WHtR had the greatest AUC under the ROC in men,whereas BMI had the greatest AUC in women.The optimal cutoffs values for the detection of T2DM were 0.51, 25.47 kg/m2, and 0.91 for WHtR, BMI, and WHR in men, respectively, and 0.52, 24.95 kg/m2, and 0.86 for WHtR, BMI, and WHR in women, respectively. WHtR was more efficient than WHR and BMI based on the AUC. The optimal cutoff values for detecting a high risk for T2DM were 0.51,25.30 kg/m2,and 0.91 for WHtR,BMI,and WHR in men and 0.51,24.81 kg/m2,and 0.86 for WHtR, BMI, and WHR in women, respectively. Conclusion Waist-to-height ratio may be a more effective index for diagnosing type 2 diabetes mellitus and identifying individuals at high risk for T2DM than BMI or WHR.
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Objective To investigate changes in bone mineral density (BMD) and analyze its related factors in community populations to provide the early diagnosis of osteoporosis (OP) and give right guidance to prevent osteoporosis. Methods The quantitative ultrasound BMD analyzer was used to measure BMD of heel in 8 711 adults in community. At the same time a questionnaire survey was conducted among these subjects. The data were analyzed by Logistic stepwise regression analysis. Results With the age changing, males and females tended to have different BMD variation. Male and female's BMD peak values were respectively in 35-age group, 30-age group and decreased as age increased. T value of BMD was different between male and female (-1.40(-2.0--0.7)vs-1.3(-2.0--0.5))(P<0.001). Both men and women had a higher incidence of low bone mass (53.34%vs 47.46%), and the difference was significant (P<0.001), whereas the incidence of osteoporosis after 55 years of age between men and women was statistically significance (P<0.05). BMD was the lowest for female than for male in 50-age group, and the prevalence rate of OP was remarkably increased. Analysis of related factors of BMD showed that body mass index (BMI), age, diabetes and menopause were risk facts. Conclusion The BMD among adults is related to many factors, in which the age, BMI and menopause are the most important factors. Much attention should be paid to low bone mass phenomenon, timely monitoring, timely intervention, develop healthy working and living habits, is important to the prevention of osteoporosis and its complications.
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20 minutes), side branch occlusion, coronary dissection among the 3 groups. There were no differences in the complex or multivessels lesions either. Conclusion Significant elevation of CK and CK-MB after PCI may be associated with multivessels intervention, coronary dissection, side branch occlusion and micro-thrombus formation.