Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 641-667 |
| Number of pages | 27 |
| Journal | Mathematical and Computer Modelling of Dynamical Systems |
| Volume | 24 |
| Issue number | 6 |
| DOIs | |
| State | Published - Nov 2 2018 |
Fingerprint
Keywords
- biomedical modelling
- optimization
- System identification
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Modeling and Simulation
- Computer Science Applications
- Applied Mathematics
Cite this
A dynamical systems model of intrauterine fetal growth. / Freigoun, Mohammad T.; Rivera, Daniel; Guo, Penghong; Hohman, Emily E.; Gernand, Alison D.; Symons Downs, Danielle; Savage, Jennifer S.
In: Mathematical and Computer Modelling of Dynamical Systems, Vol. 24, No. 6, 02.11.2018, p. 641-667.Research output: Contribution to journal › Article
}
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.
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 - biomedical modelling
KW - optimization
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=85054528772&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054528772&partnerID=8YFLogxK
U2 - 10.1080/13873954.2018.1524387
DO - 10.1080/13873954.2018.1524387
M3 - Article
AN - SCOPUS:85054528772
VL - 24
SP - 641
EP - 667
JO - Mathematical and Computer Modelling of Dynamical Systems
JF - Mathematical and Computer Modelling of Dynamical Systems
SN - 1387-3954
IS - 6
ER -