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Articles 1 - 4 of 4
Full-Text Articles in Medicine and Health Sciences
A Single Bout Of Breast Milk Expression Does Not Increase Resting Metabolic Rate, Leryn J. Reynolds, Kayla R. Powell, Taskina Akhter, Hannah M. Twiddy, Patrick B. Wilson
A Single Bout Of Breast Milk Expression Does Not Increase Resting Metabolic Rate, Leryn J. Reynolds, Kayla R. Powell, Taskina Akhter, Hannah M. Twiddy, Patrick B. Wilson
Human Movement Sciences & Special Education Faculty Publications
Introduction: Breastfeeding women have elevated resting metabolic rate (RMR); however, whether a single bout of lactation increases RMR is unknown. This study aimed to determine if a single bout of lactation acutely increased RMR.
Methods: Twenty-two lactating women (age: 31 ± 0.9 year, body mass index: 27.3 ± 1.2 kg/m2) were recruited. RMR was assessed at baseline and at 1- and 2-h following breast milk expression.
Results: RMR was unchanged in lactating women following a single bout of lactation (baseline: 1437 ± 39; 1 h: 1425 ± 37 2 h: 1440 ± 31 kcal/day) (p > .05). RMR was …
Cardiac Autonomic Neuropathy In Diabetes: A Predictor Of Cardiometabolic Events, Aaron I. Vinik, Carolina Casellini, Henri K. Parson, Sheri R. Colberg, Marie-Laure Nevoret
Cardiac Autonomic Neuropathy In Diabetes: A Predictor Of Cardiometabolic Events, Aaron I. Vinik, Carolina Casellini, Henri K. Parson, Sheri R. Colberg, Marie-Laure Nevoret
Human Movement Sciences & Special Education Faculty Publications
Autonomic nervous system (ANS) imbalance manifesting as cardiac autonomic neuropathy in the diabetic population is an important predictor of cardiovascular events. Symptoms and signs of ANS dysfunction, such as resting heart rate elevations, diminished blood pressure responses to standing, and altered time and frequency domain measures of heart rate variability in response to deep breathing, standing, and the Valsalva maneuver, should be elicited from all patients with diabetes and prediabetes. With the recognition of the presence of ANS imbalance or for its prevention, a rigorous regime should be implemented with lifestyle modification, physical activity, and cautious use of medications that …
Physical Activity/Exercise And Diabetes: A Position Statement Of The American Diabetes Association, Sheri R. Colberg, Ronald J. Sigal, Jane E. Yardley, Michael C. Riddell, David W. Dunstan, Paddy C. Dempsey
Physical Activity/Exercise And Diabetes: A Position Statement Of The American Diabetes Association, Sheri R. Colberg, Ronald J. Sigal, Jane E. Yardley, Michael C. Riddell, David W. Dunstan, Paddy C. Dempsey
Human Movement Sciences & Special Education Faculty Publications
The adoption and maintenance of physical activity are critical foci for blood glucose management and overall health in individuals with diabetes and prediabetes. Recommendations and precautions vary depending on individual characteristics and health status. In this Position Statement, we provide a clinically oriented review and evidence-based recommendations regarding physical activity and exercise in people with type 1 diabetes, type 2 diabetes, gestational diabetes mellitus, and prediabetes.
Physical activity includes all movement that increases energy use, whereas exercise is planned, structured physical activity. Exercise improves blood glucose control in type 2 diabetes, reduces cardiovascular risk factors, contributes to weight loss, and …
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
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. …