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Population-Level Correlates of Preterm Delivery among Black and White Women in the U.S
OBJECTIVE: This study examined the ability of social, demographic, environmental and health-related factors to explain geographic variability in preterm delivery among black and white women in the US and whether these factors explain black-white disparities in preterm delivery. METHODS: We examined...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3989227/ https://www.ncbi.nlm.nih.gov/pubmed/24740117 http://dx.doi.org/10.1371/journal.pone.0094153 |
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author | Carmichael, Suzan L. Cullen, Mark R. Mayo, Jonathan A. Gould, Jeffrey B. Loftus, Pooja Stevenson, David K. Wise, Paul H. Shaw, Gary M. |
author_facet | Carmichael, Suzan L. Cullen, Mark R. Mayo, Jonathan A. Gould, Jeffrey B. Loftus, Pooja Stevenson, David K. Wise, Paul H. Shaw, Gary M. |
author_sort | Carmichael, Suzan L. |
collection | PubMed |
description | OBJECTIVE: This study examined the ability of social, demographic, environmental and health-related factors to explain geographic variability in preterm delivery among black and white women in the US and whether these factors explain black-white disparities in preterm delivery. METHODS: We examined county-level prevalence of preterm delivery (20–31 or 32–36 weeks gestation) among singletons born 1998–2002. We conducted multivariable linear regression analysis to estimate the association of selected variables with preterm delivery separately for each preterm/race-ethnicity group. RESULTS: The prevalence of preterm delivery varied two- to three-fold across U.S. counties, and the distributions were strikingly distinct for blacks and whites. Among births to blacks, regression models explained 46% of the variability in county-level risk of delivery at 20–31 weeks and 55% for delivery at 32–36 weeks (based on R-squared values). Respective percentages for whites were 67% and 71%. Models included socio-environmental/demographic and health-related variables and explained similar amounts of variability overall. CONCLUSIONS: Much of the geographic variability in preterm delivery in the US can be explained by socioeconomic, demographic and health-related characteristics of the population, but less so for blacks than whites. |
format | Online Article Text |
id | pubmed-3989227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39892272014-04-21 Population-Level Correlates of Preterm Delivery among Black and White Women in the U.S Carmichael, Suzan L. Cullen, Mark R. Mayo, Jonathan A. Gould, Jeffrey B. Loftus, Pooja Stevenson, David K. Wise, Paul H. Shaw, Gary M. PLoS One Research Article OBJECTIVE: This study examined the ability of social, demographic, environmental and health-related factors to explain geographic variability in preterm delivery among black and white women in the US and whether these factors explain black-white disparities in preterm delivery. METHODS: We examined county-level prevalence of preterm delivery (20–31 or 32–36 weeks gestation) among singletons born 1998–2002. We conducted multivariable linear regression analysis to estimate the association of selected variables with preterm delivery separately for each preterm/race-ethnicity group. RESULTS: The prevalence of preterm delivery varied two- to three-fold across U.S. counties, and the distributions were strikingly distinct for blacks and whites. Among births to blacks, regression models explained 46% of the variability in county-level risk of delivery at 20–31 weeks and 55% for delivery at 32–36 weeks (based on R-squared values). Respective percentages for whites were 67% and 71%. Models included socio-environmental/demographic and health-related variables and explained similar amounts of variability overall. CONCLUSIONS: Much of the geographic variability in preterm delivery in the US can be explained by socioeconomic, demographic and health-related characteristics of the population, but less so for blacks than whites. Public Library of Science 2014-04-16 /pmc/articles/PMC3989227/ /pubmed/24740117 http://dx.doi.org/10.1371/journal.pone.0094153 Text en © 2014 Carmichael et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Carmichael, Suzan L. Cullen, Mark R. Mayo, Jonathan A. Gould, Jeffrey B. Loftus, Pooja Stevenson, David K. Wise, Paul H. Shaw, Gary M. Population-Level Correlates of Preterm Delivery among Black and White Women in the U.S |
title | Population-Level Correlates of Preterm Delivery among Black and White Women in the U.S |
title_full | Population-Level Correlates of Preterm Delivery among Black and White Women in the U.S |
title_fullStr | Population-Level Correlates of Preterm Delivery among Black and White Women in the U.S |
title_full_unstemmed | Population-Level Correlates of Preterm Delivery among Black and White Women in the U.S |
title_short | Population-Level Correlates of Preterm Delivery among Black and White Women in the U.S |
title_sort | population-level correlates of preterm delivery among black and white women in the u.s |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3989227/ https://www.ncbi.nlm.nih.gov/pubmed/24740117 http://dx.doi.org/10.1371/journal.pone.0094153 |
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