A comprehensive analysis of stillbirths influencing factors: Insights from Eastern Algeria’s Maternal Health Study

Authors

DOI:

https://doi.org/10.12923/cipms-2025-0009

Keywords:

pregnancy, stillbirth, prevention, predictive model, maternal health, risk factors

Abstract

As defined by the World Health Organization, stillbirth refers to the delivery of a baby without signs of life at or after 28 weeks of gestation. This study aims to predict stillbirth occurrences by identifying influencing factors. Interviews were conducted with 786 pregnant women from Eastern Algeria between 2011 and 2015, resulting in a 9.03% stillbirth rate. Utilizing statistical techniques, a predictive model with a 95% confidence interval was developed. Findings indicated a significantly higher likelihood of stillbirths among pregnant women aged over 34 (OR 8.77; 1.70-161.28, p=0.039) and those with a high BMI of (25-30) (OR 1.73; 0.83-3.78, p=0.153) and (30-35) (OR 4.16; 2.04-8.93, p<0.001). Additionally, associations were observed with stress (OR 2.19; 1.15-4.49, p=0.023) and diabetes (OR 2.68; 1.15-5.90, p=0.017). Moderate correlations were noted with meat consumption (OR 0.53; 0.21-1.19, p=0.144), high fish intake (OR 3.02; 1.04-8.62, p=0.039), dairy products (OR 1.81; 0.94-3.67, p=0.085), and sweets (OR 0.47; 0.24-0.88, p=0.021). This study underscores that identifying these risk factors aids in preventing stillbirths, thereby safeguarding the well-being of both mothers and infants. Future research should explore the broader implications of these findings and potential avenues for further investigation.

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Published

2025-04-09

How to Cite

Kalla, A., Loucif, L., Boussif , A., & Yahia, M. (2025). A comprehensive analysis of stillbirths influencing factors: Insights from Eastern Algeria’s Maternal Health Study. Current Issues in Pharmacy and Medical Sciences, 38(1), 56-66. https://doi.org/10.12923/cipms-2025-0009