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Fine particulate air pollution and hospital utilization for upper respiratory tract infections in Beijing, China

  • Daitao Zhang
  • , Yaohua Tian
  • , Yi Zhang
  • , Yaying Cao
  • , Quanyi Wang
  • , Yonghua Hu*
  • *Corresponding author for this work
  • Peking University
  • Chinese Center for Disease Control and Prevention

Research output: Contribution to journalArticlepeer-review

Abstract

Few studies have examined the association between fine particulate matter (PM 2.5 ) and upper respiratory tract infections (URTI) in urban cities. The principal aim of the present study was to evaluate the short-term impact of PM 2.5 on the incidence of URTI in Beijing, China. Data on hospital visits due to URTI from 1 October 2010 to 30 September 2012 were obtained from the Beijing Medical Claim Data for Employees, a health insurance database. Daily PM 2.5 concentration was acquired from the embassy of the United States of America (US) located in Beijing. A generalized additive Poisson model was used to analyze the effect of PM 2.5 on hospital visits for URTI. We found that a 10 µg/m 3 increase in PM 2.5 concentration was associated with 0.84% (95% CI, 0.05–1.64%) increase in hospital admissions for URTI at lag 0–3 days, but there were no significant associations with emergency room or outpatient visits. Compared to females, males were more likely to be hospitalized for URTI when the PM 2.5 level increased, but other findings did not differ by age group or gender. The study suggests that short-term variations in PM 2.5 concentrations have small but detectable impacts on hospital utilization due to URTI in adults.

Original languageEnglish
Article number533
JournalInternational Journal of Environmental Research and Public Health
Volume16
Issue number4
DOIs
StatePublished - 2 Feb 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Fine particulate matter
  • Generalized additive model
  • PM
  • Time series
  • Upper respiratory tract infections

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