首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Putting Co-Exposures on Equal Footing: An Ecological Analysis of Same-Scale Measures of Air Pollution and Social Factors on Cardiovascular Disease in New York City
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Putting Co-Exposures on Equal Footing: An Ecological Analysis of Same-Scale Measures of Air Pollution and Social Factors on Cardiovascular Disease in New York City

机译:将共同暴露置于平等的基础上:纽约市大气污染和社会因素的同等规模测量的生态分析

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摘要

Epidemiologic evidence consistently links urban air pollution exposures to health, even after adjustment for potential spatial confounding by socioeconomic position (SEP), given concerns that air pollution sources may be clustered in and around lower-SEP communities. SEP, however, is often measured with less spatial and temporal resolution than are air pollution exposures (i.e., census-tract socio-demographics vs. fine-scale spatio-temporal air pollution models). Although many questions remain regarding the most appropriate, scales for the measurement and evaluation of each type of exposure, we aimed to compare associations for multiple air pollutants and social factors against cardiovascular disease (CVD) event rates, with each exposure measured at equal spatial and temporal resolution. We found that, in multivariable census-tract-level models including both types of exposures, most pollutant–CVD associations were non-significant, while most social factors retained significance. Similarly, the magnitude of association was higher for an IQR-range difference in the social factors than in pollutant concentrations. We found that when offered equal spatial and temporal resolution, CVD was more strongly associated with social factors than with air pollutant exposures in census-tract-level analyses in New York City.
机译:流行病学证据始终将城市空气污染暴露与健康联系在一起,即使在对潜在的空间混淆由社会经济地位(SEP)进行调整之后,也要考虑到空气污染源可能集中在低SEP社区内和附近。但是,SEP的测量时空分辨率通常比空气污染暴露要小(即,人口普查社会人口统计学与时空污染的精细模型)。尽管仍然存在许多关于每种接触的最合适的衡量和评估尺度的问题,但我们的目的是比较多种空气污染物和社会因素与心血管疾病(CVD)事件发生率的关联,每种接触在相同的空间和环境下测得。时间分辨率。我们发现,在包括两种暴露类型在内的多变量人口普查区水平模型中,大多数污染物与CVD的关联都不显着,而大多数社会因素仍具有重要意义。同样,在社会因素中,IQR范围差异的关联程度高于污染物浓度。我们发现,在纽约市进行的人口普查级分析中,当提供相同的时空分辨率时,CVD与社会因素的联系比与空气污染物暴露的联系更紧密。

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