Communicating Genetic Information for Obesity

传达肥胖的遗传信息

• 批准号: 8031244
• 负责人: Catharine Wang
• 金额: $ 26.87万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-12-24 至 2012-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8031244
• 关键词: Adverse effects; Area; Attitude; Behavior; Behavioral; Belief; Body Weight decreased; Clinical; Communication; Data; Data Sources; Diet; Disease; Feedback; Future; Genetic; Genetic Predisposition to Disease; Genetic Risk; Genetic screening method; Genome; Genomics; Genotype; Goals; Health; Health behavior; Individual; Informal Social Control; Intervention; Lead; Life Style; Light; Medicine; Modeling; Motivation; Obesity; Outcome; Overweight; Participant; Personal Communication; Physical activity; Pilot Projects; Prevention; Public Health; Randomized; Recruitment Activity; Research; Research Design; Risk; Source; Surveys; Television; Testing; Translations; United States; Waiting Lists; Weight; Work; behavior change; behavior influence; behavioral health; clinical decision-making; design; efficacy testing; evidence base; follow-up; improved; innovation; obesity risk; population health; psychologic; psychosocial; randomized trial; research study; response; risk perception; theories

DESCRIPTION (provided by applicant): Obesity rates in the United States have escalated in recent decades and present a growing challenge in public health prevention efforts. Advances in genomics have begun to shed light on the genetic contributions to obesity. At present, it is unknown whether information about one's personal genetic predisposition to obesity will add value to traditional risk communication efforts and increase the likelihood that individuals will engage in health behaviors to reduce obesity risk. The clinical utility and impact of this information on psychological, behavioral, and health outcomes have yet to be determined. Research is critically needed to identify the best practices for providing genetic information to individuals regarding their risk for obesity, which may serve as a model for understanding the behavioral responses to SNP testing for common diseases. The proposed study will examine the impact of providing genetic risk information for obesity on people's attitudes and beliefs about obesity, health behaviors and weight outcomes. We will conduct a randomized controlled feasibility trial to examine the short-term impact of risk feedback for obesity, using a 2x2 factorial design. The two factors will be genetic risk feedback (no/yes) and lifestyle risk feedback (no/yes), resulting in four conditions: 1) neither genetic or lifestyle risk feedback (wait-list control), 2) genetic risk feedback only, 3) lifestyle risk feedback only, and 4) both genetic and lifestyle risk feedback combined. The specific aims of the study are to: 1) examine the effects of providing innovative genetic risk feedback, alone or in combination with lifestyle risk feedback, on participants' behavioral intentions, health behaviors (physical activity, diet, television viewing), and weight outcomes, and 2) determine the extent to which the effects of genetic and/or lifestyle risk feedback vary as a function of risk status (elevated versus non-elevated). We will also examine the mechanisms by which genetic and/or lifestyle risk information may influence lifestyle behaviors, guided by self-regulation theory. This study will be the first to obtain pilot data on the short-term (mechanism-focused) impact of providing obesity genotype feedback on actual behavioral outcomes among both overweight and non-overweight individuals. Because this is a pilot study, data will be used to develop effect sizes and variance estimates to be used in planning a larger randomized trial. We will determine the "value added" of genetic information when combined with lifestyle risk feedback, and whether it enhances motivation to engage in healthy lifestyle behaviors. Moreover, we will also determine whether providing "low risk" genetic feedback has any adverse effects (e.g., false reassurance). Finally, this study is uniquely situated to provide important data on how individuals interpret different sources of risk information and how they arrive at an overall perception of risk for a condition. Taken altogether, study findings will be used to serve as an overall model for future intervention efforts to effectively communicate genetic risk information with the goal of improving weight management and overall population health. 1 PUBLIC HEALTH RELEVANCE: Although genetic testing for obesity is widely available to the public through direct-to-consumer companies, little is known about the impact of this information on people's attitudes towards obesity, health behaviors, and weight outcomes. This study will examine the feasibility of using obesity-related genetic information to motivate individuals to reduce their risk for obesity. Study findings will serve as an overall model for future intervention efforts to effectively communicate genetic risk information with the goal of improving weight management and overall population health.

描述（由申请人提供）：近几十年来，美国的肥胖率不断上升，对公共卫生预防工作提出了越来越大的挑战。基因组学的进展已经开始阐明基因对肥胖的影响。目前，尚不清楚有关个人肥胖遗传倾向的信息是否会增加传统风险沟通工作的价值，并增加个人参与健康行为以降低肥胖风险的可能性。这些信息对心理、行为和健康结果的临床效用和影响尚未确定。研究是迫切需要确定的最佳做法，提供遗传信息的个人对他们的肥胖风险，这可能作为一个模型，了解行为反应SNP测试常见疾病。这项拟议中的研究将检查提供肥胖遗传风险信息对人们对肥胖、健康行为和体重结果的态度和信念的影响。我们将进行一项随机对照可行性试验，使用2x2析因设计来检查肥胖风险反馈的短期影响。这两个因素将是遗传风险反馈（否/是）和生活方式风险反馈（否/是），导致四种情况：1）没有遗传或生活方式风险反馈（等待名单控制），2）只有遗传风险反馈，3）只有生活方式风险反馈，以及4）遗传和生活方式风险反馈相结合。这项研究的具体目标是：1）研究提供创新的遗传风险反馈，单独或与生活方式风险反馈相结合，对参与者的行为意图，健康行为，（体力活动、饮食、看电视）和体重结果，以及2）确定遗传和/或生活方式风险反馈的影响作为风险状态（升高与非升高）的函数而变化的程度。我们还将研究遗传和/或生活方式风险信息可能影响生活方式行为的机制，以自我调节理论为指导。这项研究将是第一个获得试点数据的短期（机制为重点）的影响，提供肥胖基因型反馈的实际行为结果之间的超重和非超重的个人。由于这是一项试点研究，因此数据将用于制定效应量和方差估计值，以用于计划更大规模的随机试验。我们将确定遗传信息与生活方式风险反馈相结合时的“增值”，以及它是否增强了参与健康生活方式行为的动机。此外，我们还将确定提供“低风险”遗传反馈是否有任何不利影响（例如，虚假保证）。最后，这项研究的独特之处在于提供了重要的数据，说明个人如何解释不同来源的风险信息，以及他们如何得出对某种疾病风险的总体看法。总的来说，研究结果将被用作未来干预工作的总体模型，以有效地传达遗传风险信息，从而改善体重管理和整体人群健康。 1 公共卫生相关性：虽然肥胖基因检测通过直接面向消费者的公司广泛提供给公众，但人们对这些信息对人们对肥胖的态度，健康行为和体重结果的影响知之甚少。这项研究将探讨利用肥胖相关的遗传信息来激励个人降低肥胖风险的可行性。研究结果将作为未来干预工作的整体模型，以有效地传达遗传风险信息，从而改善体重管理和整体人群健康。