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Published on: January 12, 2018
Predictive social factors in relation to preterm birth in a metropolitan region
Katrien Beeckman1, Sabine van De Putte, Koen Putman
1Department of Medical Sociology and Health Sciences, Vrije Universiteit Brussel, Laarbeeklaan 103, Brussels, Belgium. katrien.beeckman@vub.ac.be
Insights
Teenage or single mothers face higher risks of preterm birth. Understanding these social factors is crucial for improving neonatal outcomes and targeting vulnerable populations.
Area of Science:
- Sociology of health
- Maternal and child health
- Public health research
Background:
- Preterm birth significantly impacts neonatal well-being, increasing risks of morbidity and mortality.
- Social determinants, alongside medical factors, play a role in preterm birth occurrences.
Purpose of the Study:
- To identify social factors predicting preterm birth.
- To investigate the association between maternal characteristics and preterm birth.
Main Methods:
- Cross-sectional population study in the Brussels metropolitan region.
- Analysis of 8,586 birth registration forms from 2004.
- Logistic regression to determine significant predictors of preterm birth (<37 weeks).
Main Results:
- Maternal age, origin, and marital status were associated with preterm birth.
- Being a teenage mother (OR 2.15) and a single mother (OR 1.49) were significant social risk factors for preterm birth, even after controlling for confounders.
Conclusions:
- Adolescent and single maternal status are key social risk factors for preterm birth.
- Prenatal care access and utilization may explain the increased risk.
- Further research should focus on prenatal care trajectories in vulnerable groups to reduce preterm birth rates.
Objective:
Preterm birth is an important indicator of neonatal wellbeing. Infants born preterm are at higher risk for severe morbidity and mortality. Apart from medical risk factors, social factors are also associated with preterm birth. This study aims to provide knowledge on factors which have a predictive role in relation to preterm birth.
Design:
Cross-sectional population study.
Setting:
The Brussels metropolitan region.
Population:
Women who gave birth in the Brussels metropolitan region in 2004. In total, 8,586 birth registration forms were reviewed for this study.
Main Outcome Measures:
Associations between educational level, occupation, marital status, age, and origin with preterm birth (<37 weeks).
Methods:
After bivariate analyses, significant correlations were explored in a stepwise logistic regression model. Odds ratios (OR) were calculated for each of the significant characteristics in the final model.
Results:
The risk of preterm birth was found to be associated with age, origin, and marital status. After controlling for confounding factors, the two most important social risk factors for preterm birth were being a teenage mother (OR 2.15, 95% CI: 1.31-3.53) or single mother (OR 1.49, 95% CI: 1.17-1.91).
Conclusions:
Being a teenage or single mother are important social risk factors for preterm birth. We hypothesize that the increased risk is related to prenatal care trajectories. To obtain a better understanding of preterm birth occurrences, further research should focus on mapping these trajectories and specifically targeting the most vulnerable groups.
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