Control Systems Engineering for Optimizing a Prenatal Weight Gain Intervention

用于优化产前体重增加干预的控制系统工程

• 批准号: 9269612
• 负责人: Danielle Symons Downs
• 金额: $ 32万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-15 至 2019-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9269612
• 关键词: 37 weeks gestation; Applet; Area; Behavior; Behavior Control; Behavior Therapy; Behavioral; Behavioral Sciences; Biological Models; Biology; Birth; Cardiovascular Diseases; Comorbidity; Computers; Control Groups; Custom; Data; Data Collection; Decision Making; Development; Diet; Dietary intake; Differential Equation; Education; Educational process of instructing; Energy Intake; Engineering; Etiology; Feedback; Focus Groups; Future; Goals; Guidelines; Health; Health Benefit; Health Technology; Healthy Eating; Heart Diseases; Hematological Disease; Individual; Individual Differences; Infant; Infant Health; Informal Social Control; Intervention; Kinesiology; Life Cycle Stages; Lung diseases; Mathematics; Metabolic syndrome; Methods; Mission; Modeling; Modification; Monitor; Mothers; National Heart, Lung, and Blood Institute; Nutritional Science; Obesity; Outcome; Overweight; Participant; Physical activity; Physiology; Planning Theory; Population; Population Intervention; Pre-Eclampsia; Pregnancy; Pregnancy Complications; Pregnant Women; Procedures; Psychological Factors; Psychology; Randomized; Randomized Controlled Trials; Research; Risk; Science; System; Testing; Time; United States National Institutes of Health; Weight; Weight Gain; Weight maintenance regimen; Woman; base; behavioral/social science; cohort; design; dosage; dynamic system; eHealth; efficacy testing; energy balance; energy density; gestational weight gain; health of the mother; improved; individualized medicine; innovation; intervention program; meetings; multidisciplinary; offspring; predictive modeling; prenatal; prenatal health; prevent; programs; public health relevance; statistics; theories; therapy design; time use; tool; treatment group

DESCRIPTION (provided by applicant): Managing gestational weight gain (GWG) offers lifelong health benefits in both mothers and their offspring (e.g., reducing risk of preeclampsia, development of metabolic syndrome, obesity, cardiovascular disease). Because overweight and obese pregnant women (OW/OBPW) often exceed GWG guidelines and have difficulty with managing weight, there is a critical need to identify effective weight management interventions for this population. An individually-tailored intervention that provides OW/OBPW with support for managing GWG on a weekly basis and adapts to their unique needs over pregnancy may be a highly promising way to prevent high GWG. We have synergistically integrated methods/key concepts from the behavioral sciences and control systems engineering to construct a framework for an individually-tailored, behavioral intervention (e.g., components of education, goal-setting, self-monitoring, and engaging in healthy eating/ physical activity [PA] behaviors) to control GWG in OW/OBPW. This intervention has several unique features: (a) individualized treatment to manage GWG on a weekly basis over pregnancy, (b) a validated differential equation model for energy balance to predict GWG trajectories over pregnancy and provide feedback in real- time to adapt treatment as needed, (c) e-health technology to promote self-monitoring and collect data on weight, dietary intake, PA, and psychological factors, and (d) control systems engineering to relate intensive data collected on each participant and dynamical systems modeling to optimize this intervention; in other words, manage GWG in OW/OBPW as effectively and efficiently as possible. The proposed research aims are to first, establish feasibility of delivering this individually-tailored intervention for managing GWG in OW/OBPW by conducting two studies to examine viability of delivering intervention dosages and component sequencing, procedures for self-monitoring of GWG, dietary intake, and PA with e-health technology mechanisms, randomization/retention/data collection procedures with treatment and control groups, and to establish user acceptability. Second, control systems engineering will be used to relate intensive data collected on each participant to a dynamical model that considers how changes in GWG responds to changes in energy intake, PA, and planned/self-regulatory behaviors. We will then make modifications to the intervention and identify a customized intervention plan for each woman; resulting in an optimized (effective and efficient) intervention. We will test the efficacy of this optimized intervention for managing GWG in OW/OBPW in a future randomized controlled trial. Our long-range goal is to make this intervention available to all pregnant women (via e- health technology) to improve the health of mothers and infants and impact the etiology of obesity and cardiovascular disease at a critical time in the life cycle. Thi research compliments the over-reaching goal of NIH to improve maternal/infant health and it is consistent with NHLBI's mission to promote research to reduce the burden of heart, lung, and blood diseases and their related comorbidities worldwide.

描述（由申请人提供）：控制妊娠期体重增加（GWG）为母亲及其后代提供终身健康益处（例如，降低先兆子痫、代谢综合征、肥胖、心血管疾病的风险）。由于超重和肥胖孕妇（OW/OBPW）经常超过GWG指南，并且在控制体重方面存在困难，因此迫切需要为这一人群确定有效的体重管理干预措施。为OW/OBPW提供每周GWG管理支持并适应其孕期独特需求的个性化干预措施可能是预防高GWG的一种非常有希望的方法。我们从行为科学和控制系统工程中协同整合了方法/关键概念，构建了一个针对个人量身定制的行为干预框架（例如，教育、目标设定、自我监控和参与健康饮食/体育活动[PA]行为的组成部分）

项目成果

A "Model-on-Demand" Methodology For Energy Intake Estimation to Improve Gestational Weight Control Interventions.

• DOI: 10.1016/j.ifacol.2018.09.105
• 发表时间: 2018
• 期刊: IFAC-PapersOnLine
• 作者: Guo P;Rivera DE;Pauley AM;Leonard KS;Savage JS;Downs DS
• 通讯作者: Downs DS

Influences of prior miscarriage and weight status on perinatal psychological well-being, exercise motivation and behavior.

• DOI: 10.1016/j.midw.2016.10.010
• 发表时间: 2016-12
• 期刊: Midwifery
• 影响因子: 2.7
• 作者: Devlin CA;Huberty J;Downs DS
• 通讯作者: Downs DS

The Power of Believing: Salient Belief Predictors of Exercise Behavior in Normal Weight, Overweight, and Obese Pregnant Women.

• DOI: 10.1123/jpah.2014-0262
• 发表时间: 2015-08
• 期刊: Journal of physical activity & health
• 影响因子: 3.1
• 作者: Downs DS;Devlin CA;Rhodes RE
• 通讯作者: Rhodes RE

Feasibility and user acceptability of Breezing™, a mobile indirect calorimetry device, in pregnant women with overweight or obesity.

• DOI: 10.1016/j.smhl.2022.100372
• 发表时间: 2022-12
• 期刊: Smart health
• 作者: Krista S. Leonard;Abigail M. Pauley;Penghong Guo;Emily E. Hohman;D. Rivera;J. Savage;D. Downs

Semi-physical Identification and State Estimation of Energy Intake for Interventions to Manage Gestational Weight Gain.

• DOI: 10.1109/acc.2016.7525092
• 发表时间: 2016-07
• 期刊: Proceedings of the ... American Control Conference. American Control Conference
• 作者: Guo P;Rivera DE;Downs DS;Savage JS
• 通讯作者: Savage JS