Racial and ethnic variations in temporal changes in fetal deaths and first day infant deaths

Martha S Wingate1, Wanda D Barfield

  • 1Department of Health Care Organization and Policy, School of Public Health, University of Alabama at Birmingham, RPHB 330, 1530 3rd Avenue South, Birmingham, AL 35294-0022, USA. mslay@uab.edu

The purpose was to examine changes in overall and gestational age-specific proportions and rates of fetal death, first day death (<24 h), and combined fetal-first day death from 1990-1991 to 2001-2002. Changes were considered by race/ethnicity. Deliveries to U.S. white, black, and Hispanic mothers were selected from the NCHS linked live birth-infant death cohort and fetal deaths files (1990-1991 and 2001-2002). There was an overall improvement in mortality, but improvements were not uniform across all racial/ethnic groups or by gestational age. The fetal mortality rate among whites and Hispanics declined 4.32 and 12.82 percent, respectively. For blacks, the fetal mortality rate increased 4.06 percent between 1990-1991 and 2001-2002. Despite overall reductions in perinatal and <24 h mortality, black rates in all outcomes maintained a twofold disparity. The overall black: white fetal mortality rate ratio increased from 2.17 to 2.36 over time. The gestational age-specific black: white combined fetal-first day mortality rate ratios were greater than 1 at later gestational ages. In some cases, the ratio increased over time, indicating that despite reductions, fetal mortality did not decline uniformly among whites and blacks at term and post-term. Despite overall improvements in fetal, first day, and combined fetal-first day mortality, racial disparities persisted and in some cases widened. This study identifies lack of improvements in fetal death in the black population compared to the white or Hispanic population at later gestational ages.

Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Development of the Oral Microbiota01:28

Development of the Oral Microbiota

The establishment of the oral microbiome begins before birth, challenging the long-held belief that the fetal oral cavity is sterile. The presence of oral microbes such as Streptococcus and Fusobacterium in amniotic fluid suggests that microbial exposure may occur in utero, potentially through translocation from the maternal oral or gastrointestinal tract. This early colonization primes the neonatal immune system and sets the stage for subsequent microbial succession. Maternal health,...
Meiosis vs. Mitosis02:57

Meiosis vs. Mitosis

Cell division is necessary for growth and reproduction in organisms. Mitosis aids cell growth and development by dividing somatic cells. In contrast, meiosis causes the division of germ cells and plays an essential role in sexual reproduction. Due to their unique functional requirements, mitosis and meiosis differ from each other in multiple aspects.
Before the start of mitosis and meiosis I, the cell synthesizes DNA, resulting in two homologous copies of each chromosome. DNA synthesis is...