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Published on: January 12, 2018
How Does the Interaction Between Preterm Delivery and Low Birthweight Contribute to Racial Disparity in Infant
1College of Veterinary Medicine and Biomedical Science, Texas A&M University, College Station, TX 77843-4475, USA.
Insights
Black infants face a higher mortality risk. Addressing extremely low birthweight and extremely preterm birth could significantly reduce this racial disparity in infant mortality.
Area of Science:
- Perinatal epidemiology
- Biostatistics
- Public health
Background:
- Black infants experience twice the mortality rate compared to other racial/ethnic groups in the US.
- Previous mediation modeling suggested preventing low birthweight could reduce this disparity by 75%.
- The interactive role of preterm birth alongside birthweight in this disparity remained unclear.
Purpose of the Study:
- To investigate the interaction between birthweight and length of gestation in contributing to racial disparities in infant mortality.
- To quantify the impact of specific combinations of birthweight and gestational length on racial disparities.
Main Methods:
- Utilized data from over 25 million singleton births in the US National Natality Database (2016-2022).
- Employed Bayesian estimation of potential outcomes to model interactions between birthweight and gestational length.
- Evaluated two models: one with binary (normal/abnormal) classifications and another with five classifications for each factor.
Main Results:
- Normalizing either birthweight or gestational length alone could reduce racial disparity by approximately 75%.
- No additional disparity reduction was observed when both factors were normalized.
- Black infants were 2.76 times more likely to be born extremely preterm with extremely low birthweight, explaining over 60% of the racial disparity.
Conclusions:
- Birthweight and preterm birth interact significantly in driving racial disparities in infant mortality.
- The combination of extremely low birthweight and extremely preterm delivery is a primary driver of this disparity.
- Bayesian estimation of potential outcomes is a valuable tool for investigating complex mediational relationships in public health research.
Abstract:
Background/Objectives: In the United States, Black infants are twice as likely as infants of all other races and ethnicities to die by one year of age. Mediation modeling predicted that preventing low birthweight could alleviate 75% of this disparity. However, the potential confounding and interacting role of preterm birth remains a question. The goal of this study was to determine how birthweight and length of gestation interact in causing racial disparity. Methods: Records from more than 25 million singleton births were retrieved from the United States National Natality Database for the years 2016 to 2022. Two interaction models were evaluated using Bayesian estimation of potential outcomes. The first modeled the interaction between birthweight and length of gestation with both mediators measured as binary (normal/abnormal). The second modeled the interaction using five classifications for both birthweight and length of gestation. Results: Eliminating either abnormal birthweights or abnormal lengths of gestation would reduce racial disparity in infant mortality by approximately 75%. There was no additional reduction of racial disparity by normalizing both. Modeling the combinations of specific categories of birthweight and length of gestation showed Black infants were 2.76 (2.72, 2.79) times more likely to be born with extremely low birthweight and extremely preterm delivery. This single combination explained over 60% of the racial disparity in infant mortality. Conclusions: The current study clarifies how birthweight and preterm birth contribute to racial disparity and illustrates how Bayesian estimation of potential outcomes enables complex mediational investigations.
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