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.<...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24740117/pdf/?tool=EBI |
| _version_ | 1819176408380866560 |
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| 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 |
| collection | DOAJ |
| 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. |
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| id | doaj.art-2c0695f388b84cc5b57f56476654090f |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-22T21:10:17Z |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
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| series | PLoS ONE |
| spelling | doaj.art-2c0695f388b84cc5b57f56476654090f2022-12-21T18:12:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194e9415310.1371/journal.pone.0094153Population-level correlates of preterm delivery among black and white women in the U.S.Suzan L CarmichaelMark R CullenJonathan A MayoJeffrey B GouldPooja LoftusDavid K StevensonPaul H WiseGary M Shaw<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.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24740117/pdf/?tool=EBI |
| spellingShingle | 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. PLoS ONE |
| 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 |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24740117/pdf/?tool=EBI |
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