Population-level correlates of preterm delivery among black and white women in the U.S.

<h4>Objective</h4>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.<...

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Autores principales:	Suzan L Carmichael, Mark R Cullen, Jonathan A Mayo, Jeffrey B Gould, Pooja Loftus, David K Stevenson, Paul H Wise, Gary M Shaw
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2c0695f388b84cc5b57f56476654090f
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spelling	oai:doaj.org-article:2c0695f388b84cc5b57f56476654090f2021-11-18T08:22:57ZPopulation-level correlates of preterm delivery among black and white women in the U.S.1932-620310.1371/journal.pone.0094153https://doaj.org/article/2c0695f388b84cc5b57f56476654090f2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24740117/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objective</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.Suzan L CarmichaelMark R CullenJonathan A MayoJeffrey B GouldPooja LoftusDavid K StevensonPaul H WiseGary M ShawPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 4, p e94153 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Suzan L Carmichael Mark R Cullen Jonathan A Mayo Jeffrey B Gould Pooja Loftus David K Stevenson Paul H Wise Gary M Shaw Population-level correlates of preterm delivery among black and white women in the U.S.
description	<h4>Objective</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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	article
author	Suzan L Carmichael Mark R Cullen Jonathan A Mayo Jeffrey B Gould Pooja Loftus David K Stevenson Paul H Wise Gary M Shaw
author_facet	Suzan L Carmichael Mark R Cullen Jonathan A Mayo Jeffrey B Gould Pooja Loftus David K Stevenson Paul H Wise Gary M Shaw
author_sort	Suzan L Carmichael
title	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_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_sort	population-level correlates of preterm delivery among black and white women in the u.s.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/2c0695f388b84cc5b57f56476654090f
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Population-level correlates of preterm delivery among black and white women in the U.S.

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