Introduction: Atherosclerosis begins in youth and is related to the presence of cardiovascular and metabolic risk factors (CMRF): age,
gender, nutrition, physical inactivity, cardiorespiratory fitness (CF), blood pressure (BP), lipids and overweight/obesity. There is strong evidence showing that schools should include nutrition and physical activity (PA) in the curriculum. ...
Purpose: Emerging literature suggests that the environment can impact physical activity levels. To date, however, very little is known about the role of the environment with individuals living with heart disease. The purpose of this study was to objectively measure the physical activity (PA) of individuals with coronary heart disease (...
Purpose: People with heart disease tend to experience a reduced health-related quality of life (QOL). Regular physical activity
(PA) has been linked to improved outcomes, but little is known regarding the role of sedentary behavior. The objective of this study was to examine the association between sedentary behavior and QOL ...
Purpose: Research on physical activity (PA) in people with heart disease tends to emphasize intrapersonal correlates while largely ignoring the potential importance of higher-level correlates within the social ecological model. Thus, the purpose of this study was to determine the relative importance of several social ecological correlates in predicting whether ...
Purpose: This study examined associations between school commuting mode and children’s cardiovascular and metabolic health.
Methods: Participants were 226 children (48% boys), aged 8.1 (SD 0.4) years from Melbourne, Australia. Mothers reported their own highest level of education, and the frequency and duration of their child’s typical active (walking or cycling; 0 trips, 1...
Background: Blood pressure (BP) reactivity in response to mental stress increases with age and contributes to vascular damage manifesting as increased carotid intima-media thickness (IMT). This increases risk for cardiovascular (CV) events. Participation in regular physical activity (PA) may lead to a favorable CV response to stress.
Purpose: To examine ...
Background: Physical activity patterns captured by accelerometers have been used to classify activity type with machine learning (ML) algorithms. ML may also be applied to accelerometer data for predicting cardiovascular (CV) health risk directly. Decision trees are efficient constructive search algorithms that develop rules for categorizing the data based ...
Background: Sedentary behavior has been shown to be inversely associated with markers of insulin sensitivity and cardiometabolic health in middle-aged and older adults, independent of moderate-to-vigorous physical activity (MVPA). Low cardiorespiratory fitness (CRF) is an independent risk factor for cardiovascular disease (CVD) mortality, yet it is unknown whether CRF infl...
Purpose: Research on physical activity (PA) in people with heart disease tends to emphasize intrapersonal correlates while largely ignoring the potential importance of higher-level correlates within the social ecological model. Thus, the purpose of this study was to determine the relative importance of several social ecological correlates in predicting whether ...
Background: Cardiovascular fitness (CVF) is a key determinant of health; however it is unclear what patterns of physical activity (PA) contribute to healthy levels of fitness in children. Therefore, we evaluated how patterns of PA and sedentary time are associated with CVF in school-aged children.
Methods: Children (n=366, 8-11 yr) ...