Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Sci Total Environ. 2022 Nov 25;849:157934. doi: 10.1016/j.scitotenv.2022.157934. Epub 2022 Aug 8.
There is a lack of evidence for the associations between atmospheric particle components exposure and psychiatric health. We aimed to identify the most toxic particle component(s) and source(s) related with psychiatric illness.
Using Health Cost and Utilization Project (HCUP) State Inpatient Databases (SIDs), we analyzed the relative risk (RR) of psychiatric hospitalization associated with increased residential exposure to 14 particle components (Zn, V, Si, Pb, Ni, K, Fe, Cu, Ca, Br, sulfate (SO), nitrate (NO), organic carbon (OC), and elemental carbon (EC)). We covered the residents of eight U.S. states, who contributed to 5,012,041 psychiatric admissions over 2002-2018. Single component models were conducted via fitting zero-inflated negative binomial regression for each component with aggregated counts of total psychiatric hospitalizations per ZIP code per year as dependent variable. We used Nonnegative Matrix Factorization (NMF) to identify particle source factors and obtained the source-specific estimates. Generalized Weighted Quantile Sum (gWQS) Regression was applied to obtain an overall mixture effect. Separate but similar models were fitted for different age groups (<30 yrs. vs. ≥ 30 yrs) and psychiatric illness sub-categories to assess effect heterogeneity.
Sulfate, Fe, Pb and Zn were associated with the largest risk increases in single-component models. The biggest harmful associations were observed for metal industry source (high loadings of Pb and sulfate). For one quartile increase in components mixture score, we observed an adjusted RR of 1.24 (95 % CI, 1.21-1.26). Older population were more affected. We also observed higher increase in bipolar and psychotic admission risk for increased components source and mixture level.
Living in areas with higher levels of particle components was associated with increased risk of psychiatric hospitalization among the residents in eight U.S. states. Certain components (i.e. Pb, sulfate) and sources (metal industry) were the most related.
大气颗粒物成分暴露与精神健康之间的关联证据不足。我们旨在确定与精神疾病相关的毒性最大的颗粒物成分和来源。
我们利用健康成本和利用项目(HCUP)州住院数据库(SID),分析了与居民住宅暴露于 14 种颗粒物成分(锌、钒、硅、铅、镍、钾、铁、铜、钙、溴、硫酸盐(SO)、硝酸盐(NO)、有机碳(OC)和元素碳(EC))增加相关的精神病住院的相对风险(RR)。我们涵盖了美国 8 个州的居民,他们在 2002 年至 2018 年期间贡献了 5012041 例精神病住院。通过对每个成分的零膨胀负二项回归拟合进行单成分模型,将每个邮政编码每年的总精神病住院次数作为因变量。我们使用非负矩阵分解(NMF)来识别颗粒物源因素,并获得特定于源的估计值。应用广义加权分位数总和(gWQS)回归来获得整体混合效应。对于不同年龄组(<30 岁与≥30 岁)和精神病疾病亚类别的单独但类似的模型进行拟合,以评估效应异质性。
硫酸盐、铁、铅和锌与单成分模型中最大的风险增加有关。在金属工业源(高铅和硫酸盐负荷)中观察到最大的有害关联。对于成分混合物评分的一个四分位数增加,我们观察到调整后的 RR 为 1.24(95%CI,1.21-1.26)。老年人群受影响更大。我们还观察到,随着成分源和混合物水平的增加,双相和精神病入院风险增加。
居住在颗粒物成分水平较高的地区与美国 8 个州居民的精神病住院风险增加有关。某些成分(即铅、硫酸盐)和来源(金属工业)与精神疾病的相关性最大。