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Published on: January 12, 2018
Rates Of Preterm Birth And Low Birthweight: An Analysis Of Racial And Ethnic Populations
Clare C Brown1, Jennifer E Moore2, J Mick Tilford3
1Clare C. Brown (ccbrown@uams.edu), University of Arkansas for Medical Sciences, Little Rock, Arkansas; and Institute for Medicaid Innovation, Washington, D.C.
Insights
Racial and ethnic disparities in infant health are significant, with low birthweight rates varying up to 2.3-fold among different groups. Granular analysis is crucial to address the root causes of these inequities in infant outcomes.
Area of Science:
- Public Health
- Perinatal Epidemiology
- Health Disparities Research
Background:
- Infant health outcomes like low birthweight and prematurity exhibit significant racial and ethnic disparities.
- Existing data often lacks the granularity to fully understand these variations within broad racial and ethnic categories.
Purpose of the Study:
- To evaluate variations in low birthweight and prematurity rates across detailed racial and ethnic subcategories.
- To highlight the need for more granular data analysis to address inequities in infant health outcomes.
Main Methods:
- Utilized data from the National Center for Health Statistics (NCHS) spanning 2016-2020.
- Analyzed birthweight and gestational age data, stratifying by specific racial and ethnic subcategories.
Main Results:
- Observed substantial variations in low birthweight rates among different racial and ethnic subcategories, with some disparities reaching 2.3-fold.
- Identified significant differences in prematurity rates across these granular subcategories.
Conclusions:
- The study underscores the critical need for detailed data stratification by racial and ethnic subcategories.
- Addressing the root causes of inequities in infant outcomes requires a granular approach to data analysis and intervention.
Abstract:
Using National Center for Health Statistics data (2016-20), we evaluated variation in low birthweight and prematurity among racial and ethnic subcategories. Disparities as large as 2.3-fold among rates of low birthweight for "multiple race" subcategories underscore the need for granular data stratification and analysis by racial and ethnic subcategories to address the root causes of inequities in infant outcomes.
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