Medicine and Health Sciences Commons^™

Device-Based Measures Of Maternal Physical Activity, Pregnancy Nocturnal Glucose, Postpartum Sleep, And Infant Adiposity, Bethany R. Hallenbeck

Doctoral Dissertations

This dissertation presents physical activity, sedentary behavior, and bedrest (sleep estimation) data from ActiGraph devices worn during pregnancy and postpartum. Analyses of these data consider how these behaviors may relate to each other and health outcomes in the mother and child. The research aims to bridge the gap in understanding the intricate relationship between physical activity health behaviors and maternal and infant health metrics during the critical phases of pregnancy and postpartum. For this work, we employed repeated measures mixed modelling and integrated device-based, research-grade, ActiGraph data with clinical measures and survey responses to elucidate the multifaceted dynamics influencing a …

Physical Activity On Multiuse Trails And In A Novel Bike Park Within An Urban Wilderness, Douglas Gregory

Doctoral Dissertations

Research has shown that the presence of, access to, and use of parks and trails is associated with increased levels of PA. However, little research exists on nature-based, recreational multiuse trails and bike-specific amenities within parks and their impact on PA. Therefore, to explore the effect trails and bike parks have on PA, this dissertation conducted three investigations to: 1) determine the impact of trail/greenway interventions on PA, 2) investigate how seasonality and weather influence nature-based recreational trail use, and 3) develop a demographic and PA profile of bike park users.

Investigation 1 (Chapter 4) systematically reviewed the literature specific …

The Estimation Of Caloric Expenditure Using Three Triaxial Accelerometers, Tyrone Gene Ceaser

Doctoral Dissertations

Accelerometer-based activity monitors are commonly used to measure physical activity energy expenditure (PAEE). Newly designed wrist and hip-worn triaxial accelerometers claim to accurately predict PAEE across a range of activities. Purpose: To determine if the Nike FuelBand (NFB), Fitbit (FB) and ActiGraph GT3X+ (AG) estimate PAEE in various activities. Methods: 21 healthy, college-aged adults wore a NFB on the right wrist, a FB on the left hip, and AG on the right hip, while performing 17 activities. AG data were analyzed using Freedson’s kcal regression equation. PAEE was measured using the Cosmed K4b² (K4). Repeated measures ANOVAs were used …