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Author Notes:

Xinye Qiu, PhD, Harvard T.H. Chan School of Public Health, Department of Environmental Health, 401 Park Drive, Landmark Center, Boston, MA, US, 02215, xqiu@hsph.harvard.edu,Phone: (617)384-8752

1Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA 2Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA 3Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA 4Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA 5Massachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs, Boston Healthcare System, Boston, MA, USA 6Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA 7Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA Xinye Qiu: Conceptualization, Methodology, Software, Formal Analysis, Writing - Original Draft, Visualization Yaguang Wei: Resources, Data Curation, Validation Marc Weisskopf: Conceptualization, Supervision Avron Spiro: Supervision Liuhua Shi: Data Curation Edgar Castro: Data Curation Brent Coull: Supervision Petros Koutrakis: Supervision, Funding acquisition Joel Schwartz: Conceptualization, Supervision, Funding acquisition. All authors contributed to Writing - Review & Editing of the final manuscript.

This work was supported by National Institute of Environmental Health Sciences (NIEHS) grants (P30-ES-000002, R01-ES-032418-01) and US Environmental Protection Agency (EPA) grant (RD-83615601). Its contents are solely the responsibility of the grantee and do not necessarily represent the official views of the USEPA. Further, USEPA does not endorse the purchase of any commercial products or services mentioned in the publication. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. We want to specially thank U.S. Agency for Healthcare Research and Quality Health Cost and Utilization Project (HCUP) for giving us access to the State Inpatient Databases (SIDs) to conduct this study. Dr. Qiu, the first and corresponding author of the study, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

All the authors report no conflicts of interest.

Subjects:

Keywords:

  • air pollution
  • temperature
  • precipitation
  • psychosis

Air Pollution, Climate Conditions and Risk of Hospital Admissions for Psychotic Disorders in U.S. Residents

Tools:

Journal Title:

ENVIRONMENTAL RESEARCH

Volume:

Volume 216, Number Pt 2

Publisher:

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Background: The physical environmental risk factors for psychotic disorders are poorly understood. This study aimed to examine the associations between exposure to ambient air pollution, climate measures and risk of hospitalization for psychotic disorders and uncover potential disparities by demographic, community factors. Methods: Using Health Cost and Utilization Project (HCUP) State Inpatient Databases (SIDs), we applied zero-inflated negative binomial regression to obtain relative risks of hospitalization due to psychotic disorders associated with increases in residential exposure to ambient air pollution (fine particulate matter, PM2.5; nitrogen dioxide, NO2), temperature and cumulative precipitation. The analysis covered all-age residents in eight U.S. states over the period of 2002 – 2016. We additionally investigated modification by age, sex and area-level poverty, percent of blacks and Hispanics. Results: Over the study period and among the covered areas, we identified 1,211,100 admissions due to psychotic disorders. For each interquartile (IQR) increase in exposure to PM2.5 and NO2, we observed a relative risk (RR) of 1.11 (95% confidence interval (CI) = 1.09, 1.13) and 1.27 (95% CI = 1.24, 1.31), respectively. For each 1 °C increase of temperature, the RR was 1.03 (95% CI = 1.03, 1.04). Males were more affected by NO2. Older age residents (>= 30 yrs.) were more sensitive to PM2.5 and temperature. Population living in economically disadvantaged areas were more affected by air pollution. Conclusions: The study suggests that living in areas with higher levels of air pollutants and ambient temperature could contribute to additional risk of inpatient care for individuals with psychotic disorders.

Copyright information:

PubMed Central

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/).
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