Obesity Prevention in Early Life (OPEL): Risk Screening and Targeted Intervention

生命早期肥胖预防 (OPEL)：风险筛查和针对性干预

• 批准号: 10392983
• 负责人: Erika Rose Cheng
• 金额: $ 13.96万
• 依托单位: INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-06-01 至 2023-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10392983
• 关键词: Address; Age; Age-Months; Award; Behavioral; Belief; Birth Certificates; Child; Child Health Services; Childhood; Clinical; Communication; Communities; Computers; Data; Data Set; Databases; Decision Support Systems; Development; Development Plans; Early Intervention; Early identification; Electronic Health Record; Ensure; Epidemiology; Faculty; Family; Foundations; Funding; Future; Geographic Information Systems; Goals; Grant; Health Services Research; Health Status; Indiana; Infant; Information Systems; Infrastructure; Intervention; K-Series Research Career Programs; Lead; Life; Life Cycle Stages; Link; Machine Learning; Mentored Research Scientist Development Award; Mentors; Mentorship; Methods; Modeling; National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; Obesity; Obesity Epidemic; Outcome; Parents; Perception; Positioning Attribute; Pregnancy Histories; Prevention; Primary Prevention; Process; Productivity; Public Health Informatics; Publishing; Qualitative Methods; Qualitative Research; Records; Research; Research Methodology; Research Personnel; Research Project Grants; Risk; Risk Factors; Source; Testing; Toddler; Universities; Weight; Weight Gain; Work; approach behavior; base; behavior change; career development; clinical decision support; cohort; cost effective; data access; data integration; data repository; epidemiologic data; excessive weight gain; feasibility testing; health care availability; health data; healthy weight; high risk; human centered design; improved; infancy; infant adiposity; innovation; machine learning method; medical schools; multidisciplinary; obesity in children; obesity prevention; obesity risk; obesity treatment; predictive modeling; prevent; preventive intervention; programs; prospective; risk prediction; risk prediction model; screening; sociodemographics; tool

Given the difficulty of reversing obesity once present, there has been increasing focus on the primary prevention of obesity early in the lifecourse. Few attempts have been made to prevent obesity during the first years of life. This proposal summarizes a 5-year program of mentored professional development tied to a multi-method research project intended to improve the identification and potential treatment of infants and toddlers with high risk for obesity. My long-term goal is to prevent obesity by identifying infants at greatest risk and providing for them an effective, family-centered intervention that targets modifiable, life course factors. My central hypothesis, based on my prior research, is that identifying infants at risk for obesity prior to the onset of unhealthy weight gain will enable early intervention. My research plan aims to: (1) create risk prediction models for obesity at age 24 months by linking three existing data systems that combine birth certificate, contextual- level, and health outcome data; (2) test the feasibility of linking these data prospectively to validate the Aim 1 obesity risk prediction models over a 24-month period within a contemporary, clinical cohort; and (3) identify best approaches for family-focused risk communication regarding the prevention of excessive weight gain and obesity in infants and toddlers using a human-centered design approach. Through my career development plan and guidance from my mentors, I will expand upon a foundation in epidemiology and pediatric health services research to develop expertise in machine learning, health informatics, data integration, qualitative methods, human-centered design, and behavior change. Together, the research and educational aims of this proposal will provide me with the necessary groundwork to compete for additional funding as an independent investigator. Specifically, I will seek R03-level grant funding from the NIDDK in year 4 of my K01 award to test the communication strategy developed in Aim 3 and to partner with families to modify an existing behavioral change intervention for use in infancy. By the end of this award, I will be well positioned to apply for funding from the NIDDK to conduct a robust R01-level study that combines the validated prediction models, family- focused communication strategy, and modified intervention to determine whether we can effectively prevent obesity in those infants and toddlers identified as being at the highest risk. This line of research will help ensure that prevention efforts are deployed in an efficient, cost-effective manner and accepted by those who need them. I will accomplish this work under the mentorship of Dr. Aaron E. Carroll, a child health services researcher, and a multidisciplinary team of faculty with expertise machine learning, health informatics, data integration and surveillance, qualitative research, human-centered design approaches, behavior change, and childhood obesity. I am ideally suited to complete this research due to my past research productivity, current mentorship team, open access to health care data, and the established clinical decision support infrastructure at the Indiana University School of Medicine.

鉴于肥胖一旦出现就很难逆转，人们越来越关注原发性肥胖

项目成果

Twelve-Month Outcomes of the First 1000 Days Program on Infant Weight Status.

• DOI: 10.1542/peds.2020-046706
• 发表时间: 2021-08
• 期刊: Pediatrics
• 影响因子: 8
• 作者: Taveras EM;Perkins ME;Boudreau AA;Blake-Lamb T;Matathia S;Kotelchuck M;Luo M;Price SN;Roche B;Cheng ER
• 通讯作者: Cheng ER

Human-centered designed communication tools for obesity prevention in early life.

• DOI: 10.1016/j.pmedr.2023.102333
• 发表时间: 2023-10
• 期刊: PREVENTIVE MEDICINE REPORTS
• 影响因子: 2.8
• 作者: Cheng, Erika R.;Moore, Courtney;Parks, Lisa;Taveras, Elsie M.;Wiehe, Sarah E.;Carroll, Aaron E.
• 通讯作者: Carroll, Aaron E.

Household food insecurity is associated with obesogenic health behaviours among a low-income cohort of pregnant women in Boston, MA.

• DOI: 10.1017/s1368980022000714
• 发表时间: 2023-05
• 期刊: PUBLIC HEALTH NUTRITION
• 影响因子: 3.2
• 作者: Cheng, Erika R.;Luo, Mandy;Perkins, Meghan;Blake-Lamb, Tiffany;Kotelchuck, Milton;Boudreau, Alexy Arauz;Taveras, Elsie M.
• 通讯作者: Taveras, Elsie M.

Predicting body mass index in early childhood using data from the first 1000 days.

• DOI: 10.1038/s41598-023-35935-6
• 发表时间: 2023-05-31
• 期刊: Scientific reports
• 影响因子: 4.6

Impact of socioeconomic markers on parents' retention of pediatric oncology home care education: A pilot study.

社会经济指标对父母保留儿科肿瘤家庭护理教育的影响：一项试点研究。

• DOI: 10.1002/pbc.27624
• 发表时间: 2019
• 期刊: Pediatric blood & cancer
• 影响因子: 3.2
• 作者: Hentea,Cristiana;Downs,StephenM;TuckerEdmonds,Brownsyne;Vik,Terry;Wiehe,SarahE;Cheng,ErikaR
• 通讯作者: Cheng,ErikaR