Race/Ethnicity, Apgar and Infant Mortality

Race/Ethnicity, Apgar and Infant Mortality Objective. Our general objective of this study is to furtherassess the predictive validity of Apgar scores on infant mortality using a national-level data setallowing for race/ethnic-specific variation. Method. This analysis is based on the 1989–1991NCHS Linked Birth/Infant Death files. Multivariate, multinomial logistic regression modelswere constructed adjusting for maternal behavioral and health risks, socioeconomic and demographicfactors, and infant characteristics. Results. After adjusting for maternal riskfactors, infants with low Apgar scores experienced 86 times the odds of neonatal death relative tohigh Apgar score infants while infants with medium Apgar scores experienced 10 times the odds ofneonatal death relative to the high Apgar referent. After controlling for maternal risk factors,birth weight and gestational age, the effect of low Apgar scores on neonatal mortality risk relativeto high Apgar scores is reduced (from OR = 86.1 to OR = 31.2), but still remains a strong predictor.Fully adjusted, race/ethnic-specific models show that the predictive value oflow Apgar on neonatal mortality risk is strongest for Mexican Americans (OR = 44.2) versusNon-Hispanic Whites and Blacks (OR = 36.2 and 20.4 respectively). Conclusion Ourresults support the conclusion that Apgar scores continue to be strong predictors of infant survival,independent of birth weight, gestational age, and a large number of maternal risk factors.They are also shown to be powerful predictors within different race/ethnic groups, solidifying theirimportance as both a diagnostic tool and descriptive health characteristic across various U.S.populations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Population Research and Policy Review Springer Journals

Race/Ethnicity, Apgar and Infant Mortality

Loading next page...
 
/lp/springer_journal/race-ethnicity-apgar-and-infant-mortality-A07ViGUhmQ
Publisher
Springer Journals
Copyright
Copyright © 2003 by Kluwer Academic Publishers
Subject
Social Sciences; Demography; Sociology, general; Population Economics
ISSN
0167-5923
eISSN
1573-7829
D.O.I.
10.1023/A:1023579112615
Publisher site
See Article on Publisher Site

Abstract

Objective. Our general objective of this study is to furtherassess the predictive validity of Apgar scores on infant mortality using a national-level data setallowing for race/ethnic-specific variation. Method. This analysis is based on the 1989–1991NCHS Linked Birth/Infant Death files. Multivariate, multinomial logistic regression modelswere constructed adjusting for maternal behavioral and health risks, socioeconomic and demographicfactors, and infant characteristics. Results. After adjusting for maternal riskfactors, infants with low Apgar scores experienced 86 times the odds of neonatal death relative tohigh Apgar score infants while infants with medium Apgar scores experienced 10 times the odds ofneonatal death relative to the high Apgar referent. After controlling for maternal risk factors,birth weight and gestational age, the effect of low Apgar scores on neonatal mortality risk relativeto high Apgar scores is reduced (from OR = 86.1 to OR = 31.2), but still remains a strong predictor.Fully adjusted, race/ethnic-specific models show that the predictive value oflow Apgar on neonatal mortality risk is strongest for Mexican Americans (OR = 44.2) versusNon-Hispanic Whites and Blacks (OR = 36.2 and 20.4 respectively). Conclusion Ourresults support the conclusion that Apgar scores continue to be strong predictors of infant survival,independent of birth weight, gestational age, and a large number of maternal risk factors.They are also shown to be powerful predictors within different race/ethnic groups, solidifying theirimportance as both a diagnostic tool and descriptive health characteristic across various U.S.populations.

Journal

Population Research and Policy ReviewSpringer Journals

Published: Oct 17, 2004

References

  • Perinatal risk factors related to neurologic outcomes of term newborns with asphyxia at birth: A prospective study
    Asakura, H.; Ichikawa, H.; Nakabayashi, M.; Ando, K.; Kaneko, K.; Kawabata, M.; Tani, A.; Satoh, M.; Takahashi, K.; Sakamoto, S.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off