Population-Level Correlates of Preterm Delivery among Black and White Women in the US

被引:16
|
作者
Carmichael, Suzan L. [1 ]
Cullen, Mark R. [2 ]
Mayo, Jonathan A. [1 ]
Gould, Jeffrey B. [1 ]
Loftus, Pooja [2 ]
Stevenson, David K. [1 ]
Wise, Paul H. [1 ]
Shaw, Gary M. [1 ]
机构
[1] Stanford Univ, Dept Pediat, Sch Med, Div Neonatol & Dev Med, Stanford, CA 94305 USA
[2] Stanford Univ, Sch Med, Gen Med Disciplines, Stanford, CA 94305 USA
来源
PLOS ONE | 2014年 / 9卷 / 04期
关键词
BIRTH; HEALTH;
D O I
10.1371/journal.pone.0094153
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
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页数:6
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