چاپ صفحه |  صفحه نخست سامانه |  چکیده مقاله |  نویسندگان |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | توحید جعفری کشکی |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | دانشکده بهداشت |
| کد مقاله | 62408 |
| عنوان فارسی مقاله | مدل سازی خطر در مطالعات آینده نگر دیابت: ارتباط و ارزش پیش بینی متغیرهای تن سنجی |
| عنوان لاتین مقاله | Risk modeling in prospective diabetes studies: association and predictive value of anthropometrics |
| ناشر | 5 |
| آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ | خیر |
| عنوان نشریه (خارج از لیست فوق) | |
| نوع مقاله | Original Article |
| نحوه ایندکس شدن مقاله | ایندکس شده سطح دو – PubMed |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | https://mail.google.com/mail/u/0/#inbox |
| Aims: This study aimed to introduce and apply modern statistical techniques for assessing association and predictive value of risk factors in first-degree relatives (FDR) of patients with diabetes from repeatedly measured diabetes data. Methods: We used data from 1319 FDR’s of patients with diabetes followed for 8 years. Association and predictive performance of weight (Wt), body mass index (BMI), waist and hip circumferences (WC and HC) and their ratio (WHR), waist-height ratio (WHtR) and a body shape index (ABSI) in relation to future diabetes were evaluated by using Cox regression and joint longitudinal-survival modeling. Results: According to Cox regression, in total sample, WC, HC, Wt, WHtR and BMI had significant direct association with diabetes (all p < 0.01) with the best predictive ability for WHtR (concordance probability estimate = 0.575). Joint modeling suggested direct associations between diabetes and WC, WHR, Wt, WHtR and BMI in total sample (all p < 0.05). According to LPML criterion, WHtR was the best predictor in both total sample and females with LPML of 2666.27 and 2185.67, respectively. However, according to AUC criteria, BMI had the best predictive performance with AUC-JM = 0.7629 and dAUC-JM = 0.5883 in total sample. In females, both AUC criteria indicated that WC was the best predictor followed by WHtR. Conclusion: WC, WHR, Wt, WHtR and BMI are among candidate anthropometric measures to be monitored in diabetes prevention programs. Larger multi-ethnic and multivariate research are warranted to assess interactions and identify the best predictors in subgroups |
| نویسنده | نفر چندم مقاله |
|---|---|
| توحید جعفری کشکی | اول |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| risk.pdf | 1397/05/01 | 324480 | دانلود |
| 1.doc | 1397/05/01 | 237056 | دانلود |
