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Full-Text Articles in Medicine and Health Sciences

The Big Blue Test: Effects Of 14 Minutes Of Physical Activity On Blood Glucose Levels, Sheri R. Colberg, Manuel J. Hernandez Jan 2013

The Big Blue Test: Effects Of 14 Minutes Of Physical Activity On Blood Glucose Levels, Sheri R. Colberg, Manuel J. Hernandez

Human Movement Sciences & Special Education Faculty Publications

[First paragraph] For most with diabetes, physical activity has a blood glucose lowering effect (1). Hypoglycemia (i.e., blood glucose < 65 mg/dL) resulting from exercise is a concern, particularly for insulin users (2).


Blood Glucose Responses To Type, Intensity, Duration, And Timing Of Exercise, Sheri R. Colberg, Manuel J. Hernandez, Fatima Shahzad Jan 2013

Blood Glucose Responses To Type, Intensity, Duration, And Timing Of Exercise, Sheri R. Colberg, Manuel J. Hernandez, Fatima Shahzad

Human Movement Sciences & Special Education Faculty Publications

[First Paragraph] The Big Blue Test (BBT) is an annual initiative by the Diabetes Hands Foundation to raise awareness of the importance of physical activity in managing diabetes. Individuals with diabetes voluntarily exercise and record self-monitored blood glucose levels. During the 2012 BBT, 5,157 diabetic participants (~90% insulin users) anonymously entered exercise type, intensity, duration, time elapsed since last meal, and blood glucose readings before and after one or more bouts of exercise separately through www.BigBlueTest.org or an Iphone app.


Development And Validation Of A Predictive Model Of Acute Glucose Response To Exercise In Individuals With Type 2 Diabetes, Bryan S. Gibson, Sheri R. Colberg, Paul Poirier, Denise Maria Martins Vancea, Jason Jones, Robin Marcus Jan 2013

Development And Validation Of A Predictive Model Of Acute Glucose Response To Exercise In Individuals With Type 2 Diabetes, Bryan S. Gibson, Sheri R. Colberg, Paul Poirier, Denise Maria Martins Vancea, Jason Jones, Robin Marcus

Human Movement Sciences & Special Education Faculty Publications

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. …