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Full-Text Articles in Life Sciences
Pre-Training Muscle Characteristics Of Subjects Who Are Obese Determine How Well Exercise Training Will Improve Their Insulin Responsiveness, Charles A. Stuart, Michelle L. Lee, Mark A. South, Mary E. A. Howell, Brian M. Cartwright, Michael W. Ramsey, Michael H. Stone
Pre-Training Muscle Characteristics Of Subjects Who Are Obese Determine How Well Exercise Training Will Improve Their Insulin Responsiveness, Charles A. Stuart, Michelle L. Lee, Mark A. South, Mary E. A. Howell, Brian M. Cartwright, Michael W. Ramsey, Michael H. Stone
ETSU Faculty Works
Pre-training muscle characteristics of subjects who are obese determine how well exercise training will improve their insulin responsiveness. J Strength Cond Res 31(3): 798–808, 2017—Only half of prediabetic subjects who are obese who underwent exercise training without weight loss increased their insulin responsiveness. We hypothesized that those who improved their insulin responsiveness might have pretraining characteristics favoring a positive response to exercise training. Thirty nondiabetic subjects who were obese volunteered for 8 weeks of either strength training or endurance training. During training, subjects increased their caloric intake to prevent weight loss. Insulin responsiveness by euglycemic clamps and muscle fiber composition, …
Vitamin D Status And Demographic And Lifestyle Determinants Among Adults In The United States (Nhanes 2001-2006), Yan Cao, Katie L. Callahan, Sreenivas P. Veeranki, Yang Chen, Ying Liu, Shimin Zheng
Vitamin D Status And Demographic And Lifestyle Determinants Among Adults In The United States (Nhanes 2001-2006), Yan Cao, Katie L. Callahan, Sreenivas P. Veeranki, Yang Chen, Ying Liu, Shimin Zheng
ETSU Faculty Works
This study looked at risk factors associated with vitamin D levels in the body among a representative sample of adults in the U.S., NHANES III (2001-2006) data were used to assess the relationship between several demographic and health risk factors and vitamin D levels in the body. The Baseline-Category Logit Model was used to test the association between vitamin D level and the potential risk factors age, education, ethnicity, poverty status, physical activity, smoking, alcohol, obesity, diabetes and total cholesterol with both genders. Vitamin D insufficiency and deficiency were significantly associated with age, race, education, physical activity, obesity, diabetes and …