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Published on: January 12, 2018
Prematurity and Multidimensional Risk Patterns in Adolescent and Adult Pregnancies: A Principal Component Analysis in
Florin Tovirnac1, Alina Mihaela Calin1, Catalin Plesea-Condratovici2
1Clinic Surgical Department, Dunarea de Jos University of Galati, 800008 Galati, Romania.
Insights
Risk profiles for preterm birth are complex and differ between adolescent and adult pregnancies. Understanding these multidimensional patterns can inform age-specific prevention strategies for better maternal and infant outcomes.
Area of Science:
- Obstetrics and Gynecology
- Perinatal Medicine
- Public Health
Background:
- Preterm birth is a leading cause of neonatal morbidity and mortality.
- Risk factors involve complex interactions between maternal, fetal, placental, and behavioral elements.
- Eastern European cohort data were analyzed to explore risk patterns.
Purpose of the Study:
- To examine latent multidimensional risk patterns in adolescent and adult pregnancies.
- To identify distinct risk profiles associated with preterm birth across different maternal age groups.
- To provide a data-driven framework for age-specific preventive strategies.
Main Methods:
- Retrospective observational study of non-COVID pregnancies (2020-2021) in Brăila, Romania.
- Analysis of three cohorts: adolescent preterm (n=54), adult preterm (n=231), and adult term (n=3354).
- Principal Component Analysis (PCA) with Varimax rotation on maternal, fetal, placental, and behavioral indicators.
Main Results:
- PCA identified three latent dimensions explaining 66-72% of variance across all groups.
- Adolescent preterm pregnancies showed clustering of maternal complications, behaviors, and obstetric-placental indicators.
- Adult preterm pregnancies revealed distinct placental-obstetric and behavioral dimensions; adult term pregnancies highlighted behavioral/socio-environmental factors.
Conclusions:
- Prematurity risk profiles are multidimensional and vary significantly by maternal age and pregnancy outcome.
- Exploratory PCA dimensions offer a framework for understanding risk clustering in diverse maternal populations.
- Further validation in prospective, multicenter studies is needed for clinical application.
Background:
Preterm birth remains a major cause of neonatal morbidity and mortality, with risk shaped by interacting maternal, fetal, placental and behavioural factors. This study examined latent multidimensional risk patterns in adolescent and adult pregnancies in an Eastern European cohort.
Methods:
We conducted a retrospective observational study including all non-COVID pregnant women who delivered at the County Emergency Clinical Hospital of Brăila, Romania, between 2020 and 2021. Three cohorts were analyzed: adolescent preterm mothers (Lot E; n = 54), adult preterm mothers (Lot P; n = 231) and adult term mothers (Lot M; n = 3354). Maternal, fetal, placental and behavioural indicators were coded as ordered clinical risk categories, and separate principal component analyses (PCA) with Varimax rotation were performed within each cohort.
Results:
Across all three groups, PCA identified three latent dimensions that together explained approximately 66-72% of the total variance. The composition of these components differed by cohort: in adolescents, maternal complications, exogenous behaviours and obstetric-placental indicators tended to cluster; in adult preterm pregnancies, placental-obstetric and behavioural indicators formed distinct but interrelated dimensions; and in adult term pregnancies, behavioural and socio-environmental indicators were the most prominent contributors to the latent structure, with fetal outcomes forming a separate dimension.
Conclusions:
Prematurity-related risk profiles were multidimensional and varied meaningfully by age and pregnancy outcome. These exploratory PCA-derived dimensions provide a data-driven framework for understanding how risk clusters across different maternal populations and may help generate hypotheses for age-specific preventive and clinical strategies. Confirmation and further validation in prospective, multicentre studies are required before clinical application.
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