Mentoring in mHealth and Social Networking Interventions for CVD Risk Reduction

抽象的。此次K24更新将使研究者能够继续进行非常成功的跨学科研究。 数字健康研究的导师计划，重点关注肥胖和心血管疾病（CVD） 预防候选人目前有14名学员，从高中到初级教师。四 多年来，她的K24已获得资助，她的学员获得了104篇论文的共同作者资格，并提交了40份赠款 (31在她的指导下。拟议的指导计划将增加培训经验， 她的导师计划，为学员提供跨学科的指导经验， 行为科学、预防心脏病学、健康信息学、数据科学和创新研究方面的专家 的设计.来自马萨诸塞大学医学院、宾夕法尼亚州立大学和伍斯特大学合作实验室的学员 理工学院将“嵌入”对方的实验室，学习广泛的数字健康研究技能， 强调数据科学，创新方法和具有商业潜力的设计创新。 学员将学习如何：在研究中利用移动的应用程序和在线社交网络;分析社交网络 网络数据;进行定性和定量数据分析;利用创新的研究设计（例如， MOST）;在移动的和社交网络环境中采用行为改变策略;初步设计 研究;和写赠款。候选人的培训目标是将她的研究扩展到实施， 传播和更大规模的计划项目;加强她对年轻研究人员的指导， 研究创新技术;提高将NIH资助的数字健康创新转化为 医疗保健经济;提高康州大学移动健康和社交媒体中心的能力， 在降低心血管疾病风险的行为数字健康研究培训方面享有全国声誉。总体目标 该研究计划的一部分是测试如何利用社交媒体来提供健康行为规划， 最大限度地提高功效、可扩展性和传播潜力。提出了三个研究目标， 测试心血管疾病预防和/或体重管理计划的有效性， 媒体第一个目标是测试Facebook提供的CVD预防健康生活方式的有效性 年轻女性的节目。第二个目的是测试类似的心血管疾病预防计划的有效性， 专门针对已经受到威胁生命的疾病影响的家庭中的成年家庭成员。这 Facebook提供的CVD预防计划将利用家庭关系促进行为改变。第三 目的是进行多阶段优化策略（MOST）研究的可行性试验，该研究将测试最佳 在社交媒体上提供的减肥干预中的目标设定和问题解决消息的格式。 这项工作将为3 R 01的应用提供初步数据。拟议的工作将产生培训 这些经验和数据将有助于指导下一代研究人员， 跨学科的专业知识，以利用社会媒体在心血管疾病预防干预措施的交付。

Abstract. This K24 renewal will enable the investigator to continue a very successful transdisciplinary mentorship program for digital health research focused on obesity and cardiovascular disease (CVD) prevention. The candidate currently has 14 mentees ranging from high school to junior faculty level. In the four years her K24 has been funded her mentees earned 104 co-authorships on papers and submitted 40 grants (31 thus far) under her mentorship. The proposed mentorship plan will build additional training experiences into her mentorship program by providing mentees with a transdisciplinary mentoring experience that represents experts in behavioral science, preventive cardiology, health informatics, data science, and innovative research designs. Mentees from collaborating labs at UMass Medical School, Penn State University, and Worcester Polytechnic Institute will “embed” in each other's lab to learn a broad range of digital health research skills with an emphasis on data science, innovative methodologies, and designing innovations with commercial potential. Mentees will learn how to: utilize mobile apps and online social networks in their research; analyze social network data; conduct qualitative and quantitative data analyses; leverage innovative research designs (e.g., MOST); employ behavior change strategies in mobile and social network environments; design preliminary studies; and write grants. The candidate's training goals are to expand her research into implementation, dissemination, and larger scale program projects; enhance her mentorship of young investigators seeking to study innovative technologies; increase capacity to translate NIH-funded digital health innovations into the healthcare economy; and increase capacity of the UConn Center for mHealth and Social Media to build a national reputation for training in behavioral digital health research in CVD risk reduction. The overarching goal of the research plan is to test ways to leverage social media to deliver health behavior programming in ways that maximize efficacy, scalability, and dissemination potential. Three research aims are proposed, all of which test the efficacy of cardiovascular disease prevention and/or weight management programs delivered via social media. The first aim proposes to test the efficacy of a Facebook-delivered CVD prevention healthy lifestyle program for young women. The second aim is to test the efficacy of a similar CVD prevention program but tailored to adult family members in families that have already been impacted by a life-threatening disease. This Facebook-delivered CVD prevention program will leverage family ties to promote behavior change. The third aim is to conduct a feasibility trial of multiphase optimization strategy (MOST) study which will test the optimal formats for goal setting and problem solving messages in a social media delivered weight loss intervention. This work will provide preliminary data for 3 R01 applications. The proposed work will produce training experiences and data that will contribute to the mentorship of the next generation of researchers who will have transdisciplinary expertise to leverage social media in the delivery of CVD prevention interventions.