The Relationship Between Different Measures of Physical Activity and Flow-Mediated Dilation
College
College of Health Sciences
Department
Exercise Science
Graduate Level
Doctoral
Graduate Program/Concentration
Kinesiology and Rehabilitation
Presentation Type
Oral Presentation
Abstract
Abstract
Background: Endothelial function is an important predictor of cardiovascular disease, the number one cause of death in America. However, it is not clear which physical activity variables have the strongest relationships with endothelial function. Objective/Purpose: To investigate and compare the relationships of objectively measured physical activity and sedentary behavior on flow-mediated dilation (FMD) in healthy adults. Methods: Healthy (free from cardiometabolic disease) adults (n=56, age: 30±0.9 years) had brachial and popliteal artery flow mediated dilation (%FMD) assessed immediately following 7 days of physical activity monitoring via waist-worn accelerometry. Two multiple linear regression models were used to analyze the relationship between both physical activity and demographic variables on brachial (model 1) and popliteal (model 2) artery FMD. Daily average minutes of sedentary time, light physical activity, moderate-to-vigorous physical activity (MVPA), and daily average steps were used as physical activity variables in both models. Results: Analysis determined that the model for brachial artery %FMD explained 60% of the variance in brachial artery %FMD (adjusted R2 = 0.596). A significant relationship was observed between MVPA and brachial artery %FMD (LS estimate: 0.05±0.02, p = 0.03). Additionally, trends were observed regarding gender (LS estimate: 1.55±0.87, p = 0.08), pulse-wave velocity (LS estimate: 0.38±0.20, p = 0.07), race/ethnicity (LS estimate: -0.46±0.79, p = 0.07), education status (LS estimate: 1.26±0.63, p = 0.05), and smoking status (LS estimate: -1.00±0.52, p = 0.06). The model for popliteal artery %FMD explained 37% of the variance in popliteal artery %FMD (adjusted R2 = 0.373). No significant relationships were observed between popliteal artery %FMD and any of the physical activity or demographic variables. Conclusions: Increases in daily MVPA are related to elevated brachial artery %FMD. However, popliteal artery %FMD was not observed to be associated with physical activity or sedentary behavior in this sample.
Keywords
Endothelial function, Inactivity, Cardiometabolic
The Relationship Between Different Measures of Physical Activity and Flow-Mediated Dilation
Abstract
Background: Endothelial function is an important predictor of cardiovascular disease, the number one cause of death in America. However, it is not clear which physical activity variables have the strongest relationships with endothelial function. Objective/Purpose: To investigate and compare the relationships of objectively measured physical activity and sedentary behavior on flow-mediated dilation (FMD) in healthy adults. Methods: Healthy (free from cardiometabolic disease) adults (n=56, age: 30±0.9 years) had brachial and popliteal artery flow mediated dilation (%FMD) assessed immediately following 7 days of physical activity monitoring via waist-worn accelerometry. Two multiple linear regression models were used to analyze the relationship between both physical activity and demographic variables on brachial (model 1) and popliteal (model 2) artery FMD. Daily average minutes of sedentary time, light physical activity, moderate-to-vigorous physical activity (MVPA), and daily average steps were used as physical activity variables in both models. Results: Analysis determined that the model for brachial artery %FMD explained 60% of the variance in brachial artery %FMD (adjusted R2 = 0.596). A significant relationship was observed between MVPA and brachial artery %FMD (LS estimate: 0.05±0.02, p = 0.03). Additionally, trends were observed regarding gender (LS estimate: 1.55±0.87, p = 0.08), pulse-wave velocity (LS estimate: 0.38±0.20, p = 0.07), race/ethnicity (LS estimate: -0.46±0.79, p = 0.07), education status (LS estimate: 1.26±0.63, p = 0.05), and smoking status (LS estimate: -1.00±0.52, p = 0.06). The model for popliteal artery %FMD explained 37% of the variance in popliteal artery %FMD (adjusted R2 = 0.373). No significant relationships were observed between popliteal artery %FMD and any of the physical activity or demographic variables. Conclusions: Increases in daily MVPA are related to elevated brachial artery %FMD. However, popliteal artery %FMD was not observed to be associated with physical activity or sedentary behavior in this sample.