The associations between environmental quality and preterm birth in the United States, 2000-2005: a cross-sectional analysis

被引:17
|
作者
Rappazzo, Kristen M. [1 ]
Messer, Lynne C. [2 ]
Jagai, Jyotsna S. [3 ]
Gray, Christine L. [4 ,5 ]
Grabich, Shannon C. [4 ,5 ]
Lobdell, Danelle T. [6 ]
机构
[1] US EPA, Oak Ridge Inst Sci & Educ, Natl Ctr Environm Assessment, Res Triangle Pk, NC 27711 USA
[2] Portland State Univ, Coll Urban & Publ Affairs, Sch Community Hlth, Portland, OR 97207 USA
[3] Univ Illinois, Sch Publ Hlth, Div Environm & Occupat Hlth Sci, Chicago, IL USA
[4] Univ N Carolina, Gillings Sch Global Publ Hlth, Chapel Hill, NC USA
[5] US EPA, Oak Ridge Inst Sci & Educ, Natl Hlth & Environm Effects Res Lab, Chapel Hill, NC USA
[6] US EPA, Natl Hlth & Environm Effects Res Lab, Chapel Hill, NC USA
来源
ENVIRONMENTAL HEALTH | 2015年 / 14卷
关键词
Environmental quality; Air quality; Water quality; Land quality; Built environment; Sociodemographic; preterm birth; PARTICULATE MATTER; NORTH-CAROLINA; EXPOSURE; PREGNANCY; WOMEN; AIR; DISPARITIES; POLLUTANTS; POLLUTION; OUTCOMES;
D O I
10.1186/s12940-015-0038-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Many environmental factors have been independently associated with preterm birth (PTB). However, exposure is not isolated to a single environmental factor, but rather to many positive and negative factors that co-occur. The environmental quality index (EQI), a measure of cumulative environmental exposure across all US counties from 2000-2005, was used to investigate associations between ambient environment and PTB. Methods: With 2000-2005 birth data from the National Center for Health Statistics for the United States (n = 24,483,348), we estimated the association between increasing quintiles of the EQI and county-level and individual-level PTB; we also considered environmental domain-specific (air, water, land, sociodemographic and built environment) and urban-rural stratifications. Results: Effect estimates for the relationship between environmental quality and PTB varied by domain and by urban-rural strata but were consistent across county-and individual-level analyses. The county-level prevalence difference (PD (95 % confidence interval) for the non-stratified EQI comparing the highest quintile (poorest environmental quality) to the lowest quintile (best environmental quality) was -0.0166 (-0.0198, -0.0134). The air and sociodemographic domains had the strongest associations with PTB; PDs were 0.0196 (0.0162, 0.0229) and -0.0262 (-0.0300, -0.0224) for the air and sociodemographic domain indices, respectively. Within the most urban strata, the PD for the sociodemographic domain index was 0.0256 (0.0205, 0.0307). Odds ratios (OR) for the individual-level analysis were congruent with PDs. Conclusion: We observed both strong positive and negative associations between measures of broad environmental quality and preterm birth. Associations differed by rural-urban stratum and by the five environmental domains. Our study demonstrates the use of a large scale composite environment exposure metric with preterm birth, an important indicator of population health and shows potential for future research.
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页数:11
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