ArticleTranslational journal of the American College of Sports Medicine2022
Protocol for a Longitudinal Study of the Determinants of Metabolic Syndrome Risk in Young Adults.
Article in Translational journal of the American College of Sports Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
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.
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