Personal Perspective and Provider Communication of Genomic Risk for T2DM

描述（由申请人提供）：本研究项目的长期目标是通过设计策略来传达复杂的遗传信息，以帮助个人，家庭和临床医生使用遗传/基因组信息来影响积极的健康行为改变，从而转化科学进步。本研究的目的是阐明具有2型糖尿病一级亲属的不同人群中遗传/基因组风险感知的个性化过程。提出了四个具体目标：1。比较具有阳性家族史的个体在解释其患2型糖尿病风险方面的文化/种族差异。2. 确定具有2型糖尿病家族风险的人群对风险和遗传机制的误解。3. 研究有2型糖尿病家族史的个体如何解释风险、基因组知识和对数字概率的低估。4. 探讨两种降低T2DM风险的行为（遵循低脂饮食和运动）与T2DM家族史、感知T2DM风险、疾病因果模型、基因组读写能力、计算能力和对发生T2DM的担忧之间的关系。使用混合方法的单一研究将用于解决所有四个具体目标。将从美国中西部的一个州招募250名成年人。定性和定量的数据来源将用于探讨家庭对2型糖尿病风险认知的个性化过程。专题分析和聚类分析将用于分析定性数据。将使用相关和回归来分析定量数据。方法三角测量揭示了同一现象的互补方面，以促进更深入的理解，并确定数据分歧的点，以便更好地理解由于特定疾病的阳性家族史而面临复杂疾病风险增加的人如何理解和管理行为以降低其疾病风险。了解一个人的信仰可以促进与医疗保健提供者的有效合作，并改善减少风险的教育。

DESCRIPTION (provided by applicant): The long-term objectives of this program of research is to translate scientific advances through devising strategies to communicate complex genetic information to assist individuals, families, and clinicians in the use of genetic/genomic information to affect positive health behavior change. The objective of this study is to elucidate the personalizing process for genetic/genomic risk perception in a diverse group of individuals who have a first degree relative with type 2 diabetes mellitus. Four specific aims are proposed: 1. Compare cultural/ethnic variations in individuals' explanations of their personal risk for T2DM given a positive family history. 2. Identify misunderstandings of risk and genetic mechanisms of inheritance communicated by people who have a familial risk of T2DM. 3. Examine how explanations of risk, genomic literacy and understating of numeric probabilities cluster in individuals with a family history of T2DM. 4. Explore the relationship among two T2DM risk reducing behaviors (following low fat diet and exercising) and family history of T2DM, perceived risk of T2DM, causation model of illness, genomic literacy, numeracy, and worry about developing T2DM. A single study using mixed methods will be used to address all four specific aims. Two hundred and fifty adults will be recruited from across a Midwestern state in the USA. Both qualitative and quantitative data sources will be used to explore the personalizing process of family risk perception in T2DM. Thematic and cluster analysis will used to analyze the qualitative data. Correlation and regression will be used to analyze the quantitative data. Methods triangulation reveals complementary aspects of the same phenomenon to facilitate a deeper understanding, and identify points where the data diverge in order to better understanding of how people at increased risk for complex diseases, due the positive family history for the particular disease, come to understand and manage behaviors to reduce their risk for disease. Understanding a person's beliefs may facilitate effective collaboration with healthcare providers, and improve risk reduction education.