Control systems engineering for optimizing a prenatal weight gain intervention to regulate infant birth weight

Jennifer Savage Williams, Danielle Symons Downs, Yuwen Dong, Daniel E. Rivera

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Objectives. We used dynamical systems modeling to describe how a prenatal behavioral intervention that adapts to the needs of each pregnant woman may help manage gestational weight gain and alter the obesogenic intrauterine environment to regulate infant birth weight. Methods. This approach relies on integrating mechanistic energy balance, theory of planned behavior, and self-regulation models to describe how internal processes can be impacted by intervention dosages, and reinforce positive outcomes (e.g., healthy eating and physical activity) to moderate gestational weight gain and affect birth weight. Results. A simulated hypothetical case study from MATLAB with Simulink showed how, in response to our adaptive intervention, self-regulation helps adjust perceived behavioral control. This, in turn, changes the woman's intention and behavior with respect to healthy eating and physical activity during pregnancy, affecting gestational weight gain and infant birth weight. Conclusions. This article demonstrates the potential for real-world applications of an adaptive intervention to manage gestational weight gain and moderate infant birth weight. This model could be expanded to examine the long-term sustainable impacts of an intervention that varies according to the participant's needs on maternal postpartum weight retention and child postnatal eating behavior.

Original languageEnglish (US)
Pages (from-to)1247-1254
Number of pages8
JournalAmerican journal of public health
Volume104
Issue number7
DOIs
StatePublished - Jan 1 2014

Fingerprint

Birth Weight
Weight Gain
Exercise
Feeding Behavior
Postpartum Period
Pregnant Women
Mothers
Weights and Measures
Pregnancy
Healthy Diet
Self-Control

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health

Cite this

@article{770aa22db64243b782afcd05ab930800,
title = "Control systems engineering for optimizing a prenatal weight gain intervention to regulate infant birth weight",
abstract = "Objectives. We used dynamical systems modeling to describe how a prenatal behavioral intervention that adapts to the needs of each pregnant woman may help manage gestational weight gain and alter the obesogenic intrauterine environment to regulate infant birth weight. Methods. This approach relies on integrating mechanistic energy balance, theory of planned behavior, and self-regulation models to describe how internal processes can be impacted by intervention dosages, and reinforce positive outcomes (e.g., healthy eating and physical activity) to moderate gestational weight gain and affect birth weight. Results. A simulated hypothetical case study from MATLAB with Simulink showed how, in response to our adaptive intervention, self-regulation helps adjust perceived behavioral control. This, in turn, changes the woman's intention and behavior with respect to healthy eating and physical activity during pregnancy, affecting gestational weight gain and infant birth weight. Conclusions. This article demonstrates the potential for real-world applications of an adaptive intervention to manage gestational weight gain and moderate infant birth weight. This model could be expanded to examine the long-term sustainable impacts of an intervention that varies according to the participant's needs on maternal postpartum weight retention and child postnatal eating behavior.",
author = "Williams, {Jennifer Savage} and Downs, {Danielle Symons} and Yuwen Dong and Rivera, {Daniel E.}",
year = "2014",
month = "1",
day = "1",
doi = "10.2105/AJPH.2014.301959",
language = "English (US)",
volume = "104",
pages = "1247--1254",
journal = "American Journal of Public Health",
issn = "0090-0036",
publisher = "American Public Health Association Inc.",
number = "7",

}

Control systems engineering for optimizing a prenatal weight gain intervention to regulate infant birth weight. / Williams, Jennifer Savage; Downs, Danielle Symons; Dong, Yuwen; Rivera, Daniel E.

In: American journal of public health, Vol. 104, No. 7, 01.01.2014, p. 1247-1254.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Control systems engineering for optimizing a prenatal weight gain intervention to regulate infant birth weight

AU - Williams, Jennifer Savage

AU - Downs, Danielle Symons

AU - Dong, Yuwen

AU - Rivera, Daniel E.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Objectives. We used dynamical systems modeling to describe how a prenatal behavioral intervention that adapts to the needs of each pregnant woman may help manage gestational weight gain and alter the obesogenic intrauterine environment to regulate infant birth weight. Methods. This approach relies on integrating mechanistic energy balance, theory of planned behavior, and self-regulation models to describe how internal processes can be impacted by intervention dosages, and reinforce positive outcomes (e.g., healthy eating and physical activity) to moderate gestational weight gain and affect birth weight. Results. A simulated hypothetical case study from MATLAB with Simulink showed how, in response to our adaptive intervention, self-regulation helps adjust perceived behavioral control. This, in turn, changes the woman's intention and behavior with respect to healthy eating and physical activity during pregnancy, affecting gestational weight gain and infant birth weight. Conclusions. This article demonstrates the potential for real-world applications of an adaptive intervention to manage gestational weight gain and moderate infant birth weight. This model could be expanded to examine the long-term sustainable impacts of an intervention that varies according to the participant's needs on maternal postpartum weight retention and child postnatal eating behavior.

AB - Objectives. We used dynamical systems modeling to describe how a prenatal behavioral intervention that adapts to the needs of each pregnant woman may help manage gestational weight gain and alter the obesogenic intrauterine environment to regulate infant birth weight. Methods. This approach relies on integrating mechanistic energy balance, theory of planned behavior, and self-regulation models to describe how internal processes can be impacted by intervention dosages, and reinforce positive outcomes (e.g., healthy eating and physical activity) to moderate gestational weight gain and affect birth weight. Results. A simulated hypothetical case study from MATLAB with Simulink showed how, in response to our adaptive intervention, self-regulation helps adjust perceived behavioral control. This, in turn, changes the woman's intention and behavior with respect to healthy eating and physical activity during pregnancy, affecting gestational weight gain and infant birth weight. Conclusions. This article demonstrates the potential for real-world applications of an adaptive intervention to manage gestational weight gain and moderate infant birth weight. This model could be expanded to examine the long-term sustainable impacts of an intervention that varies according to the participant's needs on maternal postpartum weight retention and child postnatal eating behavior.

UR - http://www.scopus.com/inward/record.url?scp=84902659779&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902659779&partnerID=8YFLogxK

U2 - 10.2105/AJPH.2014.301959

DO - 10.2105/AJPH.2014.301959

M3 - Article

C2 - 24832411

AN - SCOPUS:84902659779

VL - 104

SP - 1247

EP - 1254

JO - American Journal of Public Health

JF - American Journal of Public Health

SN - 0090-0036

IS - 7

ER -