Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimm Diseases, Hefei, Anhui 230032, China.
Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimm Diseases, Hefei, Anhui 230032, China; Department of Medicine, Tongling Technical College, TongLing, Anhui 244061, China.
Sci Total Environ. 2018 Dec 10;644:14-19. doi: 10.1016/j.scitotenv.2018.06.218. Epub 2018 Jul 2.
Much of the research has shown an increased risk of psychiatric disorders in association with elevated exposure to air pollution, such as NO, PM and SO. However, few studies investigate the effect of these air pollution on the risk of schizophrenia admissions and the lagged effect among different subgroups.
A distributed lag non-linear model (DLNM) combined with a Poisson generalized linear regression model was applied to analyzing the relationship between schizophrenia and air pollution. At first, according to the minimum AIC criterion, we discussed the lagged effect of NO, PM and SO for 5 days, 4 days and 10 days, respectively. Then, we chose benchmarks as references (25th) to conduct comparisons with different levels of pollutant concentrations (90th and 95th). All patients were retrieved from the Psychiatric Hospital of TongLing (n = 3469) from January 2014 to December 2016. Daily air pollutants and meteorological data were collected from the Chinese national air quality monitoring (NAQM) and Meteorological Bureau. Subgroup analysis was conducted by gender (male and female), age (0-19 ages, 20-39 ages, 40-59 ages and ≥ 60 ages) and occupation (farmer, worker and unemployed).
The effects of the three air pollutants were statistically significant to schizophrenia admissions. We found that NO and PM have short-term effects of 4 days and 3 days (NO: lag 0-4 RR, 1.84(95% CI: 1.49-2.27), PM: lag 0-3 RR, 1.97(95%CI: 1.57-2.36)), respectively. SO had longer effects for 10 days (SO: lag 0-10 RR, 2.93(95%CI: 2.10-4.10)). Additionally, it significantly increased the risk of schizophrenia episode in subjects with male, 20-59 ages, farmer and worker.
We find adverse effects of ambient air pollutants on schizophrenia admissions in TongLing, China, which may provide valuable information for the policy makers and local health authorities to conduct effective intervention of air pollution on schizophrenia.
大量研究表明,接触氮氧化物(NO)、颗粒物(PM)和二氧化硫(SO)等空气污染会增加患精神疾病的风险。然而,很少有研究调查这些空气污染对精神分裂症入院风险的影响,以及不同亚组之间的滞后效应。
采用分布滞后非线性模型(DLNM)结合泊松广义线性回归模型,分析了精神分裂症与空气污染之间的关系。首先,根据最小 AIC 准则,分别讨论了 NO、PM 和 SO 的滞后效应,时间范围分别为 5 天、4 天和 10 天。然后,选择基准作为参考(第 25 百分位数),与不同浓度水平的污染物(第 90 百分位数和第 95 百分位数)进行比较。所有患者均来自 2014 年 1 月至 2016 年 12 月的铜陵市精神病医院(n=3469)。每日空气污染物和气象数据均来自中国国家空气质量监测(NAQM)和气象局。通过性别(男性和女性)、年龄(0-19 岁、20-39 岁、40-59 岁和≥60 岁)和职业(农民、工人和失业者)进行亚组分析。
三种空气污染物对精神分裂症入院均有统计学意义。我们发现,NO 和 PM 分别有 4 天和 3 天的短期影响(NO:滞后 0-4 RR,1.84(95% CI:1.49-2.27),PM:滞后 0-3 RR,1.97(95% CI:1.57-2.36))。SO 的影响时间较长,为 10 天(SO:滞后 0-10 RR,2.93(95% CI:2.10-4.10))。此外,它显著增加了男性、20-59 岁、农民和工人患精神分裂症发作的风险。
我们在中国铜陵发现了环境空气污染物对精神分裂症入院的不利影响,这可能为决策者和当地卫生当局提供有价值的信息,以对空气污染进行有效的精神分裂症干预。