Maternal mortality and its potential risk factors

Xinran Xu

doi:10.1117/12.3000139

7 September 2023 Maternal mortality and its potential risk factors

Xinran Xu

Proceedings Volume 12789, International Conference on Modern Medicine and Global Health (ICMMGH 2023); 127892J (2023) https://doi.org/10.1117/12.3000139
Event: International Conference on Modern Medicine and Global Health (ICMMGH 2023), 2023, Oxford, United Kingdom

Abstract

Background: Despite previous studies on the effects of socio-economic factors on maternal mortality, integrated risk factors and comparisons between risk factors of maternal mortality rate in the United States have not been analyzed. This study examines the maternal mortality rate and potential risk factors, including Age and Race Group distribution, healthcare insurance coverage, education attainment, state household income, state birth rate, and abortion rate. Methods: Data were collected and integrated from various sources, including CDC, National Vital Statistics, World population review, Guttmacher institute, and United States Government Census, into datasets that covered different aspects of socioeconomic and demographic development in a state-level statistics. Linear Regression and Geographically Weighted Regression models were used to find correlations between maternal mortality rates and selected socioeconomic factors. Results: The disparity between race and age groups remains as black women over 40 are much riskier of dying from maternal childbirth. The statistical model result indicates that birth rate and female household income contribution are positively correlated with maternal mortality rate, while educational attainment is negatively correlated. Geographical Weighted Regression showed the spatial patterns that the correlations are more credible in eastern states than in western states. Conclusions: Tracking socioeconomic factors that showed either a positive or negative correlation with maternal mortality is the key to reducing maternal mortality. Also, our model result was more credible among eastern states residents, while further models and analysis could be conducted with the residents of the western states to help them interpret and apply the result.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinran Xu "Maternal mortality and its potential risk factors", Proc. SPIE 12789, International Conference on Modern Medicine and Global Health (ICMMGH 2023), 127892J (7 September 2023); https://doi.org/10.1117/12.3000139

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KEYWORDS

Medicine

Data modeling

Linear regression

Statistical analysis

Statistical modeling

Data processing

Industry

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