青壮年代谢综合征风险决定因素纵向研究方案。

Alexander Pomeroy, Lauren C Bates, Lee Stoner, Mark A Weaver, Justin B Moore, Svetlana Nepocatych, Simon Higgins
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引用次数: 0

摘要

背景:多达76.7%的美国年轻人至少有一种代谢综合征危险因素。通常未被发现的代谢综合征危险因素与其他增加未来心脏代谢疾病风险的危险因素聚集在一起。通过早期行为干预预防代谢综合征风险累积对高危人群至关重要。目的:本文概述了Health E Start研究的方案,包括目标、方法、伦理和传播。此外,我们还讨论了资助该项目的美国国立卫生研究院研究增强奖(R15)的目标,以及这笔资金将如何促进本科研究人员的全面培训。本研究的长期目标是建立一种理论驱动的干预措施,以预防大学生代谢综合征风险的发生。为了实现这一目标,目的是确定1)预防代谢综合征风险发展的行为目标和2)这些行为背后的动机,以建立一个用于干预设计的理论框架。设计:纵向观察设计。背景:美国各地大学从家庭生活到独立生活的过渡。参与者:将在毕业后3个月内过渡到大学的高中毕业生(n = 150)。主要结果测量:对于目标1,代谢综合征风险将使用传统风险因素的主成分分析量化为风险评分。生活方式行为的改变与风险评分的变化之间的联系将确定特定人群的行为目标。对于目标2,将确定观察到的行为的心理、社会和环境前因的变化。结论:明确行为改变与代谢综合征风险之间的关系,以及观察到的行为改变的社会心理和环境预测因素,将有助于设计有针对性的干预措施,预防大学早期代谢综合征风险的发展。
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Protocol for a Longitudinal Study of the Determinants of Metabolic Syndrome Risk in Young Adults.

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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