Time series analysis on the effect of ambient fine particulate matters and temperature interactions on schizophrenia admission in Tongling City of Anhui Province, 2014-2017
10.3760/cma.j.issn.0253-9624.2019.01.006
- VernacularTitle: 2014—2017年安徽省铜陵市大气PM2.5和温度交互作用对精神分裂症患者入院影响的时间序列分析
- Author:
Jun DUAN
1
;
Xuelian LUO
2
;
Wenge CHU
3
;
Jiaojiao GAO
1
;
Zihan XU
1
;
Yanwu ZHANG
1
;
Qiang CHENG
1
;
Lijun BAI
1
;
Qiannan WEI
1
;
Hong SU
1
Author Information
1. Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University/Anhui Province Key Laboratory of Major Autoimm Diseases, Hefei 230032, China
2. Department of Medicine, Tongling Vocational and Technical College, Tongling 244000, China
3. Department of Psychology, The Third People′s Hospital of Tongling 230032, China
- Publication Type:Journal Article
- Keywords:
Schizophrenia;
Temperature;
Particulate Matter;
Time series analysis;
Ecological study
- From:
Chinese Journal of Preventive Medicine
2019;53(1):51-56
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the effect of ambient fine particulate matters (PM2.5) and temperature interaction on schizophrenia admission.
Methods:All admission data were retrieved from the Psychiatric Hospital and Municipal Hospital of TongLing from January 1, 2014 to December 31, 2017. Daily air pollution and meteorological data were collected from the Tongling Environmental Protection Agency and Meteorological Bureau, respectively. A distributed lag non-linear model combined with the generalized additive model were applied to explore the effects of PM2.5, multi-pollutants, and the interaction between temperature and PM2.5 on schizophrenia admission. The stratification of temperature was divided by three criteria. The low temperature layer was defined as <P5 or <P10 or <P20; P5-P95 or P10-P90 or P20-P80 was defined as the middle temperature layer; >P95 or >P90 or >P80 was defined as the high temperature layer.
Results:From 2014 to 2017, 6 642 patients were admitted for schizophrenia in Tongling, and the median of PM2.5 and temperature were 47.0 μg/m3 and 17.5 ℃, respectively. The median concentration of PM2.5 (P50) was taken as a reference. When the exposure concentration of PM2.5 was P90, the lagged effect appeared in the first day with RR=1.03 (95%CI: 1.00-1.07) and reached the maximum in the fifth day with RR=1.16 (95%CI: 1.13-1.19). In the multi-pollutant models, it was found that the simultaneous inclusion of PM2.5 and NO2 had higher risk of schizophrenia admission, with the RR=1.18 (95%CI: 1.15-1.22), P<0.001. The risk of schizophrenia admission caused by PM2.5 exposure at high temperature was greatest under the three temperature stratification standards, which were 12.1% (8.5%-15.7%), 9.7% (6.9%-12.6%) and 17.1% (11.6%-22.8%), all P values <0.001.
Conclusion:With the increase of PM2.5 concentration, the risk of schizophrenia admission is increased, and the risk effect of PM2.5 is stronger at high temperature.
