Details

Autor(en) / Beteiligte

• Zhang, H Y
• Shi, W H
• Zhang, M
• Yin, L
• Pang, C
• Feng, T P
• Zhang, L
• Ren, Y C
• Wang, B Y
• Yang, X Y
• Zhou, J M
• Han, C Y
• Zhao, Y
• Zhao, J Z
• Hu, D S

Titel

Establishing a noninvasive prediction model for type 2 diabetes mellitus based on a rural Chinese population

Ist Teil von

• Zhōnghuá yùfáng-yīxué zázhì, 2016-05, Vol.50 (5), p.397

Ort / Verlag

China

Erscheinungsjahr

2016

Quelle

MEDLINE

Beschreibungen/Notizen

• To provide a noninvasive type 2 diabetes mellitus (T2DM) prediction model for a rural Chinese population. From July to August, 2007 and July to August, 2008, a total of 20 194 participants aged ≥18 years were selected by cluster sampling technique from a rural population in two townships of Henan province, China. Data were collected by questionnaire interview, anthropometric measurement, and fasting plasma glucose and lipid profile examination. A total 17 265 participants were followed up from July to August, 2013 and July to October, 2014. Finally, 12 285 participants were selected for analysis. Data for these participants were randomly divided into a derivation group (derivation dataset, n= 6 143) and validation group (validation dataset, n=6 142) by 1∶1, respectively. Randomization was carried out by the use of computer-generated random numbers. A Cox regression model was used to analyze risk factors of T2DM in the derivation dataset. A T2DM prediction model was established by multiplying β by 10 for each