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Implications In Using Monte Carlo Simulation In Predicting Cardiovascular Risk Factors Among Overweight Children And Adolescents, Stephen Matthew Heimbigner
Implications In Using Monte Carlo Simulation In Predicting Cardiovascular Risk Factors Among Overweight Children And Adolescents, Stephen Matthew Heimbigner
Public Health Theses
The prevalence of overweight and obesity among children and adolescents has increased considerably over the last few decades. As a result, increasing numbers of American children are developing multiple risk factors for cardiovascular disease, type II diabetes, hyperinsulinemia, hypertension, dyslipidemia and hepatic steatosis. This thesis examines the use of Monte Carlo computer simulation for understanding risk factors associated with childhood overweight. A computer model is presented for predicting cardiovascular risk factors among overweight children and adolescents based on BMI levels. The computer model utilizes probabilities from the 1999 Bogalusa Heart Study authored by David S. Freedman, William H. Dietz, Sathanur …
Obesity And The Built Environment In Twenty-Six Rural Georgia Counties: An Analysis Of Physical Activity, Fruit And Vegetable Consumption, And Environmental Factors., Kathleen Elizabeth Sobush
Obesity And The Built Environment In Twenty-Six Rural Georgia Counties: An Analysis Of Physical Activity, Fruit And Vegetable Consumption, And Environmental Factors., Kathleen Elizabeth Sobush
Public Health Theses
This study assesses environmental factors in the exercise and food environment, demographic factors, physical activity behavior, and fruit and vegetable consumption in 26 rural Georgia counties. The purpose of the study is to identify environmental indicators of physical activity and fruit and vegetable consumption; to see what agencies in Georgia, if any, are collecting these types of data systematically throughout the state; and, to analyze potential relationships between environmental factors and health behaviors. Physical activity and fruit and vegetable consumption were derived from the Georgia Behavioral Risk Factor Surveillance System (2001, 2002, 2003, and 2005). Demographic data were from the …