Particulate matter pollution associated with schizophrenia hospital re-admissions: a time-series study in a coastal Chinese city

Schizophrenia (SCZ) hospital re-admissions constitute a serious disease burden worldwide. Some studies have reported an association between air pollutants and hospital admissions for SCZ. However, evidence is scarce regarding the effects of ambient particulate matter (PM) on SCZ hospital re-admissio...

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Bibliographic Details
Published in:Environmental science and pollution research international 2021-11, Vol.28 (41), p.58355-58363
Main Authors: Ji, Yanhu, Liu, Bin, Song, Jian, Pan, Rubing, Cheng, Jian, Su, Hong, Wang, Heng
Format: Article
Language:English
Subjects:
Air pollution
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Diameters
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Environmental science
Exposure
Males
Mental disorders
Particulate emissions
Particulate matter
Pollutants
Regression models
Research Article
Risk
Risk assessment
Schizophrenia
Subgroups
Waste Water Technology
Water Management
Water Pollution Control
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Summary:Schizophrenia (SCZ) hospital re-admissions constitute a serious disease burden worldwide. Some studies have reported an association between air pollutants and hospital admissions for SCZ. However, evidence is scarce regarding the effects of ambient particulate matter (PM) on SCZ hospital re-admissions, especially in coastal cities in China. The purpose of this study was to examine whether PM affects the risk of SCZ hospital re-admission in the coastal Chinese city of Qingdao. Daily SCZ hospital re-admissions, daily air pollutants, and meteorological factors from 2015 to 2019 were collected. A quasi-Poisson generalized linear regression model combined with distributed lag non-linear model (DLNM) was applied to model the exposure-lag-response relationship between PM and SCZ hospital re-admissions. The relative risks (RRs) were estimated for an inter-quartile range (IQR) increase in PM concentrations. Subgroup analyses by age and gender were conducted to identify the vulnerable subgroups. There were 6220 SCZ hospital re-admissions during 2015–2019. The results revealed that PM, including PM 10 (particles with an aerodynamic diameter ≤10 μm), PM c (particles >2.5 μm but
ISSN:0944-1344
1614-7499
DOI:10.1007/s11356-021-14816-3