Abstract #302066

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JSM 2003 Abstract #302066
Activity Number: 472
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #302066
Title: Infant Mortality Models and Infant Mortality Trends
Author(s): Guo Wei*+
Companies: University of North Carolina
Address: One University Dr., Pembroke, NC, 28372-8699,
Keywords: infant mortality ; leading causes ; characteristics of newborn/mother ; trends ; regression models ; time series and Fourier analysis
Abstract:

Infant, Neonatal, or Postneonatal Mortality Rate (IMR, NMR, or PMR) is the number of infant deaths (under 1 year, < 28 days, or 28 to 364 days) relative to 1,000 live births. From 1940 to 2001, U.S. IMR was exponentially reduced from 47.0 to 6.8. Yet, in contrast with nation's competitiveness in sciences, technologies and high quality perinatal care systems, national IMR is 38th low only (Sweden lowest, 3.5; Angola highest, 193.7). Racial, ethnic, and geographical disparities are wide: Minority (especially Black) IMR is more than twice of White IMR; Alabama, Louisiana, Mississippi, North Carolina, South Carolina, and Washington D.C. had IMRs 9.0 or above in 1998-2000. Regression Models characterizing and predicting IMRs, NMRs, and PMRs for Total, White, Minority and Black are established. By time series methods, six leading causes of infant death (10th ICD Codes) are identified (together for 58% of infant deaths in 1995-2000); trends of characteristics of newborn/mother, Plurality, Birth weight, Gestation, Trimester entry, Age of mother, Live-birth order and Marital status, are studied with 1980-2000 data for LBW and premature rates (both linearly increasing) 1995-2000 data for others.

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