TY - JOUR
T1 - A dynamical systems model of intrauterine fetal growth
AU - Freigoun, Mohammad T.
AU - Rivera, Daniel
AU - Guo, Penghong
AU - Hohman, Emily E.
AU - Gernand, Alison D.
AU - Symons Downs, Danielle
AU - Savage, Jennifer S.
N1 - Funding Information:
This work was supported by the National Heart, Lung, and Blood Institute [R01-HL119245,R56-HL126799];
Funding Information:
Support for this work has been provided by the National Institutes of Health (NIH) through grants R56-HL126799 and R01-HL119245. The opinions expressed in this article are the authors’ own and do not necessarily reflect the views of NIH.
Funding Information:
This work was supported by the National Heart, Lung, and Blood Institute [R01-HL119245,R56-HL126799]; The authors acknowledge Dr. Jaimey Pauli (Penn State College of Medicine), Dr. Harvey J. Kliman (Yale School of Medicine), and Krista Leonard, Abigail M. Pauley, Katherine McNitt, and Lindsey Hess from Penn State University for their assistance with this project. Advice from Dr. Diana M. Thomas (US Military Academy, West Point) and Dr. Paulo Lopes dos Santos (University of Porto) is acknowledged and greatly appreciated. Support for this work has been provided by the National Institutes of Health (NIH) through grants R56-HL126799 and R01-HL119245. The opinions expressed in this article are the authors? own and do not necessarily reflect the views of NIH.
Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/11/2
Y1 - 2018/11/2
N2 - The underlying mechanisms for how maternal perinatal obesity and intrauterine environment influence foetal development are not well understood and thus require further understanding. In this paper, energy balance concepts are used to develop a comprehensive dynamical systems model for foetal growth that illustrates how maternal factors (energy intake and physical activity) influence foetal weight and related components (fat mass, fat-free mass, and placental volume) over time. The model is estimated from intensive measurements of foetal weight and placental volume obtained as part of Healthy Mom Zone (HMZ), a novel intervention for managing gestational weight gain in obese/overweight women. The overall result of the modelling procedure is a parsimonious system of equations that reliably predicts foetal weight gain and birth weight based on a sensible number of assessments. This model can inform clinical care recommendations as well as how adaptive interventions, such as HMZ, can influence foetal growth and birth outcomes.
AB - The underlying mechanisms for how maternal perinatal obesity and intrauterine environment influence foetal development are not well understood and thus require further understanding. In this paper, energy balance concepts are used to develop a comprehensive dynamical systems model for foetal growth that illustrates how maternal factors (energy intake and physical activity) influence foetal weight and related components (fat mass, fat-free mass, and placental volume) over time. The model is estimated from intensive measurements of foetal weight and placental volume obtained as part of Healthy Mom Zone (HMZ), a novel intervention for managing gestational weight gain in obese/overweight women. The overall result of the modelling procedure is a parsimonious system of equations that reliably predicts foetal weight gain and birth weight based on a sensible number of assessments. This model can inform clinical care recommendations as well as how adaptive interventions, such as HMZ, can influence foetal growth and birth outcomes.
KW - System identification
KW - biomedical modelling
KW - optimization
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U2 - 10.1080/13873954.2018.1524387
DO - 10.1080/13873954.2018.1524387
M3 - Article
AN - SCOPUS:85054528772
SN - 1387-3954
VL - 24
SP - 641
EP - 667
JO - Mathematical and Computer Modelling of Dynamical Systems
JF - Mathematical and Computer Modelling of Dynamical Systems
IS - 6
ER -