Speaking Their Language: Using Social Media and Texting to Create an Adolescent-Centered Approach to Healthy Weight Gain During Pregnancy

说他们的语言:利用社交媒体和短信创建以青少年为中心的孕期健康体重增加方法

基本信息

  • 批准号:
    9034361
  • 负责人:
  • 金额:
    $ 13.47万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-03-04 至 2021-02-28
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): Tammy Chang, MD, MPH, MS is a family physician and junior clinical investigator focused on reducing obesity among adolescent mothers and their children. Dr. Chang's long-term career objective is to reduce health disparities among low-income adolescent mothers using tailored eHealth technologies. The objective of this K23 mentored career development award includes a 5-year plan for training and research activities that will provide the skills and experiences needed to become a successful independent investigator. RESEARCH CONTEXT: The United States (US) has one of the highest adolescent pregnancy rates in the developed world; the majority of pregnant adolescents gain excess weight during pregnancy. Excess pregnancy weight gain has a significant negative impact on the health of the adolescent mother, increases the risk of dangerous complications during delivery, and contributes to long-term obesity for both mother and child. In recognition of this important population health problem, both the IOM and AHRQ have identified the development of interventions targeting excess pregnancy weight gain as a major research priority. Compared to adults, relatively little is known about pregnancy weight gain among adolescents. Therefore, there is a critical need to understand adolescents' perceptions of and knowledge about pregnancy weight gain, so that researchers can customize interventions and make them relevant to the pregnant adolescent. The short-term goal of this proposal is to acquire the requisite skills to develop an adolescent-centered tailored eHealth intervention to reduce excess pregnancy weight gain. SPECIFIC AIMS: 1) Determine which US pregnant adolescents (aged ≤21 years) are at high risk for significant excess pregnancy weight gain; 2) Identify the baselin knowledge, beliefs, and factors that influence excess pregnancy weight gain among adolescents; and 3) Design and test a scalable healthy diet and exercise eHealth intervention tailored to at-risk pregnant adolescents. RESEARCH PLAN: To accomplish these aims, Dr. Chang will conduct analyses using nationally representative data from the Fragile Families and Wellbeing Study; carry out social media mining and corresponding qualitative interviews with pregnant and postpartum adolescents; and design, implement, and evaluate an adolescent- centered and tailored eHealth (tailored text-messaging) intervention. CAREER DEVELOPMENT PLAN: Dr. Chang will broaden her knowledge of advanced statistical methods using a large nationally representative dataset; develop skills in mining and analyzing online social media data; acquire expertise in designing, implementing, and evaluating scalable interventions tailored to pregnant adolescents; and obtain experience in translating research findings into clinically relevant policies and practices. Dr. Chang's career development goals will be supported through close mentorship from an interdisciplinary team; guidance from an expert advisory panel; advanced didactic course work; attendance at professional meetings and workshops; participation in seminars and journal clubs; guidance in manuscript preparation and grant proposal development for projects arising from the research she conducts as part of this proposal; and implementing her research plan. This training will directly contribute to Dr. Chang's goal of addressing a vital intergenerational problem of excess pregnancy weight gain among at-risk adolescents, as well as the subsequent submission of a successful R01 application. ENVIRONMENT: Dr. Chang's unique resources include a dedicated and accomplished multi-disciplinary mentorship team with whom she has previously collaborated; the outstanding research infrastructure at the University of Michigan and Department of Family Medicine with a particular emphasis on supporting junior investigators; and numerous advanced didactic courses and seminars provided by several distinct academic units at the University of Michigan.
 描述(由申请人提供):Tammy Chang,MD,MPH,MS是一名家庭医生和初级临床研究员,专注于减少青少年母亲及其子女的肥胖。张博士的长期职业目标是使用量身定制的电子健康技术来减少低收入少女母亲的健康差距。这个K23指导职业发展奖的目标包括一个为期5年的培训和研究活动计划,将提供成为一名成功的独立调查员所需的技能和经验。研究背景:美国是发达国家中青少年怀孕率最高的国家之一;大多数怀孕的青少年在怀孕期间体重增加。怀孕期间体重过度增加对少女母亲的健康产生重大负面影响,增加分娩期间危险并发症的风险,并导致母亲和儿童长期肥胖。由于认识到这一重要的人口健康问题,移徙组织和澳大利亚人权问题咨询委员会都将制定针对怀孕期间体重过度增加的干预措施确定为一个主要的研究优先事项。与成年人相比,对青少年怀孕体重增加的了解相对较少。因此,迫切需要了解青少年对怀孕体重增加的看法和知识,以便研究人员可以定制干预措施,使其与怀孕青少年相关。该提案的短期目标是获得必要的技能,以制定以怀孕为中心的量身定制的电子健康干预措施,以减少怀孕期间体重的过度增加。具体目标:1)确定哪些美国怀孕青少年(年龄≤21岁)处于显著过量妊娠体重增加的高风险中; 2)确定基线知识,信念和影响青少年过量妊娠体重增加的因素; 3)设计和测试针对高危怀孕青少年的可扩展健康饮食和运动电子健康干预。研究报告:为了实现这些目标,Chang博士将使用脆弱家庭和幸福研究的全国代表性数据进行分析;对怀孕和产后青少年进行社交媒体挖掘和相应的定性访谈;设计,实施和评估以青少年为中心的量身定制的电子健康(定制短信)干预。职业发展:Chang博士将利用具有全国代表性的大型数据集扩大她对先进统计方法的了解;培养挖掘和分析在线社交媒体数据的技能;获得设计,实施和评估针对怀孕青少年的可扩展干预措施的专业知识;并获得将研究结果转化为临床相关政策和实践的经验。Chang博士的职业发展目标将通过跨学科团队的密切指导来支持;专家咨询小组的指导;高级教学课程工作;参加专业会议和研讨会;参加研讨会和期刊俱乐部;指导她作为本提案的一部分进行的研究所产生的项目的手稿准备和赠款提案开发;并实施她的研究计划。这项培训将直接有助于张博士解决高危青少年怀孕体重增加过多这一重要的代际问题,以及随后提交成功的R 01申请。环境:张博士的独特资源包括一个专门的和有成就的多学科导师团队,她以前曾与之合作;密歇根大学和家庭医学系的杰出研究基础设施,特别强调支持初级研究人员;以及密歇根大学几个不同的学术单位提供的许多先进的教学课程和研讨会。

项目成果

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Tammy Chang其他文献

Tammy Chang的其他文献

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{{ truncateString('Tammy Chang', 18)}}的其他基金

Grocery Delivery to Promote Healthy Weight Gain Among Low-Income Pregnant Young Women
杂货配送促进低收入年轻孕妇健康体重增加
  • 批准号:
    10390329
  • 财政年份:
    2021
  • 资助金额:
    $ 13.47万
  • 项目类别:
Grocery Delivery to Promote Healthy Weight Gain Among Low-Income Pregnant Young Women
杂货配送促进低收入年轻孕妇健康体重增加
  • 批准号:
    10611321
  • 财政年份:
    2021
  • 资助金额:
    $ 13.47万
  • 项目类别:
Speaking Their Language: Using Social Media and Texting to Create an Adolescent-Centered Approach to Healthy Weight Gain During Pregnancy
说他们的语言:利用社交媒体和短信创建以青少年为中心的孕期健康体重增加方法
  • 批准号:
    9237282
  • 财政年份:
    2016
  • 资助金额:
    $ 13.47万
  • 项目类别:

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