Development and validation of a predictive model of acute glucose response to exercise in individuals with type 2 diabetes.

ABSTRACT:

Background

Our purpose was to develop and test a predictive model of the acute glucose response to exercise in individuals with type 2 diabetes.

Design and methods

Data from three previous exercise studies (56 subjects, 488 exercise sessions) were combined and used as a development dataset. A mixed-effects Least Absolute Shrinkage Selection Operator (LASSO) was used to select predictors among 12 potential predictors. Tests of the relative importance of each predictor were conducted using the Lindemann Merenda and Gold (LMG) algorithm. Model structure was tested using likelihood ratio tests. Model accuracy in the development dataset was assessed by leave-one-out cross-validation.Prospectively captured data (47 individuals, 436 sessions) was used as a test dataset. Model accur

SUBMITTER: Gibson BS 

PROVIDER: S-EPMC3701573 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature