Alexander Pomeroy1, Lauren C Bates1, Lee Stoner1, Mark A Weaver2, Justin B Moore3, Svetlana Nepocatych4, Simon Higgins4. 1. Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. 2. Department of Mathematics and Statistics, Elon University, Elon, NC, USA. 3. Department of Implementation Science, Department of Epidemiology & Prevention, and Department of Family & Community Medicine, Wake Forest School of Medicine, Wake Forest, NC, USA. 4. Department of Exercise Science, Elon University, Elon, NC, USA.
Abstract
Context: As many as 76.7% of U.S. young adults have at least one metabolic syndrome risk factor. Often undetected, metabolic syndrome risk factors cluster with other risk factors increasing risk of future cardiometabolic disease. The prevention of metabolic syndrome risk accrual through early behavioral interventions is crucial for at-risk populations. Objectives: This paper outlines the protocol for the Health E Start study, including the objectives, methodology, ethics, and dissemination. Additionally, we discuss the goals of the National Institutes of Health Research Enhancement Award (R15) that funded this project and how this funding will facilitate the comprehensive training of undergraduate researchers. The long-term goal of the study is to develop a theoretically driven intervention for the prevention of metabolic syndrome risk development in college students. To facilitate this goal, the aims are to identify 1) behavioral targets for the prevention of metabolic syndrome risk development and 2) the motivations behind such behaviors to develop a theoretical framework for use in intervention design. Design: Longitudinal observational design. Setting: Transition from living at home to independent living at colleges across the U.S. Participants: High school seniors (n = 150) who will be transitioning to college within 3 months of graduating. Main Outcome Measure: For aim 1, metabolic syndrome risk will be quantified into a risk score using a principal components analysis of traditional risk factors. Associations between changes in lifestyle behaviors and changes in the risk score will identify population-specific behavioral targets. For aim 2, changes in psychological, social, and environmental antecedents of observed behaviors will be identified. Conclusions: Identifying the relationship between behavior change and metabolic syndrome risk, and the psychosocial and environmental predictors of observed behavior changes will facilitate the design of targeted interventions for the prevention of metabolic syndrome risk progression in the early college years.
Context: As many as 76.7% of U.S. young adults have at least one metabolic syndrome risk factor. Often undetected, metabolic syndrome risk factors cluster with other risk factors increasing risk of future cardiometabolic disease. The prevention of metabolic syndrome risk accrual through early behavioral interventions is crucial for at-risk populations. Objectives: This paper outlines the protocol for the Health E Start study, including the objectives, methodology, ethics, and dissemination. Additionally, we discuss the goals of the National Institutes of Health Research Enhancement Award (R15) that funded this project and how this funding will facilitate the comprehensive training of undergraduate researchers. The long-term goal of the study is to develop a theoretically driven intervention for the prevention of metabolic syndrome risk development in college students. To facilitate this goal, the aims are to identify 1) behavioral targets for the prevention of metabolic syndrome risk development and 2) the motivations behind such behaviors to develop a theoretical framework for use in intervention design. Design: Longitudinal observational design. Setting: Transition from living at home to independent living at colleges across the U.S. Participants: High school seniors (n = 150) who will be transitioning to college within 3 months of graduating. Main Outcome Measure: For aim 1, metabolic syndrome risk will be quantified into a risk score using a principal components analysis of traditional risk factors. Associations between changes in lifestyle behaviors and changes in the risk score will identify population-specific behavioral targets. For aim 2, changes in psychological, social, and environmental antecedents of observed behaviors will be identified. Conclusions: Identifying the relationship between behavior change and metabolic syndrome risk, and the psychosocial and environmental predictors of observed behavior changes will facilitate the design of targeted interventions for the prevention of metabolic syndrome risk progression in the early college years.
Entities:
Keywords:
arterial stiffness; college students; metabolic syndrome; social ecological model; transition
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