An obesity paradox in preterm birth: A case control study.
Krystal Hunter1,2,3, Michael Ehrlich3, Jocelyn Mitchell-Williams4,5
1Department of Medicine, Cooper Medical School of Rowan University, Camden, New Jersey, United States of America.
Plos One
|May 8, 2025
Summary
Maternal pre-pregnancy body mass index (BMI) impacts preterm birth (PTB) differently based on socioeconomic status. Lower socioeconomic status women show an obesity paradox, with a curvilinear relationship between BMI and PTB risk.
Area of Science:
- Obstetrics and Gynecology
- Public Health
- Epidemiology
Background:
- Preterm birth (PTB) is a leading cause of neonatal mortality, with increasing global rates.
- Existing research on maternal pre-pregnancy body mass index (BMI) and PTB yields inconsistent findings.
- The influence of socioeconomic status (SES) on the BMI-PTB relationship requires further investigation.
Purpose of the Study:
- To investigate the interaction between maternal pre-pregnancy BMI and socioeconomic status (SES) in relation to preterm birth (PTB) rates.
- To address knowledge gaps concerning the complex relationship between BMI, SES, and PTB.
- To evaluate the impact of social class on the association between maternal BMI and PTB.
Main Methods:
- A case-control study design was employed.
- Utilized Natality Data from the National Vital Statistics System (2020-2022).
- Analyzed the relationship between maternal pre-pregnancy BMI, SES, and PTB, incorporating a polynomial BMI term.
Main Results:
- Maternal BMI was a significant factor in PTB for women of lower socioeconomic status (LSES).
- An 'obesity paradox' was observed in LSES women, where increased BMI initially decreased PTB odds (OR=0.923, P<0.001) before rising.
- The BMI-PTB relationship was curvilinear for LSES women, unlike the non-significant association found in higher SES women.
Conclusions:
- The study identified an obesity paradox in preterm birth for lower socioeconomic status mothers.
- The relationship between maternal BMI and preterm birth is curvilinear, not linear, particularly for LSES women.
- Incorporating SES and a polynomial BMI term provides a more nuanced understanding of PTB risk factors.
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