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Dataset Information

A non-invasive risk score for predicting incident diabetes among rural Chinese people: A village-based cohort study.


ABSTRACT:

Objective

To develop a new non-invasive risk score for predicting incident diabetes in a rural Chinese population.

Methods

Data from the Handan Eye Study conducted from 2006-2013 were utilized as part of this analysis. The present study utilized data generated from 4132 participants who were ≥30 years of age. A non-invasive risk model was derived using two-thirds of the sample cohort (selected randomly) using stepwise logistic regression. The model was subsequently validated using data from individuals from the final third of the sample cohort. In addition, a simple point system for incident diabetes was generated according to the procedures described in the Framingham Study. Incident diabetes was defined as follows: (1) fasting plasma glucose (FPG) ≥ 7.0 mmol/L; or (2) hemo

SUBMITTER: Wen J 

PROVIDER: S-EPMC5667808 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature