A Multivariate Analysis of Maternal and Behavioral Determinants of Neonatal Birth Weight

DOI

10.2991/978-94-6463-948-3_5How to use a DOI?

Keywords

Birth Weight; Maternal Health; Prenatal Care; Neonatal Outcomes; Data Analysis; Smoking and Pregnancy; Steroid Impact; Preterm Birth; Maternal Disease; Statistical Visualization

Abstract

Birth weight is a critical marker of infant health and APGAR score assessment. A low birth weight is critically considered a common trait of increased infant mortality, developmental concerns, and subsequent complications. This analysis investigates the birth weight of a child based on various maternal factors and prenatal considerations to assess such an occurrence through an explorative approach to the data set and subsequent visualization. The primary co-variates of interest are smoking during gestation, prenatal care week obtained, steroid use during gestation, number of premature births previously, age of mother at time of birthing, and disease during gestation (diabetes and hepatitis). The requirement of these co-variates is relative through a strong correlation to gestational intervention and maternal attendance consistency with care during gestation and its respective implications on outcomes (noted through birth weight). In addition to an appreciation of these associations, this project also involves statistical mod-eling and interpretability tools that emphasize the relative contribution of each variable while simultaneously visualizing their impact on newborn variables. A comprehensive view of both type of behavioral and clinical efforts informs greater risk associations that may go unseen when analyzing each factor independently. Therefore, this analysis aims to support practitioners in identifying at-risk situations for better preemptive strategies through a statistically visualized approach to increased performance at birth for infants.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Arjun Bali
AU  - Anshuman Guha
PY  - 2026
DA  - 2026/01/06
TI  - A Multivariate Analysis of Maternal and Behavioral Determinants of Neonatal Birth Weight
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 48
EP  - 70
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_5
DO  - 10.2991/978-94-6463-948-3_5
ID  - Bali2026
ER  -