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CN 34-1304/RISSN 1674-3679

Volume 25 Issue 10
Nov.  2021
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MA Ya-ting, XU Zhou-yang, NI Xiao-li, GUO Xin-biao, WU Shao-wei. Association of ambient coarse particulate matter with hospital admissions, related expenditures and stays for depression in China: a multicity study[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(10): 1147-1153. doi: 10.16462/j.cnki.zhjbkz.2021.10.006
Citation: MA Ya-ting, XU Zhou-yang, NI Xiao-li, GUO Xin-biao, WU Shao-wei. Association of ambient coarse particulate matter with hospital admissions, related expenditures and stays for depression in China: a multicity study[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(10): 1147-1153. doi: 10.16462/j.cnki.zhjbkz.2021.10.006

Association of ambient coarse particulate matter with hospital admissions, related expenditures and stays for depression in China: a multicity study

doi: 10.16462/j.cnki.zhjbkz.2021.10.006
Funds:

National Natural Science Foundation of China 82073509

More Information
  • Corresponding author: WU Shao-wei, E-mail: shaowei_wu@xjtu.edu.cn
  • Received Date: 2021-06-07
  • Rev Recd Date: 2021-07-26
  • Available Online: 2021-11-17
  • Publish Date: 2021-10-10
  •   Objective  Based on China's urban employee basic medical insurance and urban residents' basic medical insurance database, this study aims to investigate the associations between short-term exposure to ambient coarse particulate matter (PM2.5-10) and risk of hospital admissions, related expenditures and stays (counted as days in hospital) for depression.  Methods  A two-stage time-series study was conducted using the daily data in ambient PM2.5-10 and hospital admissions for depression in 56 prefecture-level or above cities in China from 2013 to 2017. The generalized additive model (GAM) with adjustment for day-of-week effect, holiday effect, secular trend, and meteorological variables was used to investigate the city-specific associations between short-term exposure to PM2.5-10 and risk of hospital admissions for depression, and a random-effects model was used to pool the city-specific associations to generate an overall association over different cities. Attributable numbers and fractions of hospital admissions, related expenditures and stays associated with short-term exposure to ambient PM2.5-10 were also calculated based on the results of the two-stage time-series analyses.  Results  A total of 82 708 hospital admissions for depression were identified in the urban medical insurance schemes in 56 Chinese cities during the study period. Short-term exposure to ambient PM2.5-10 was associated with increased hospital admissions, related expenditures and stays. For each 10 μg/m3 increase in lag0, lag02, and lag03, there were significant increases of 0.58% (95% CI: 0.04%-1.12%), 1.20% (95% CI: 0.10%-2.29%) and 1.20% (95% CI: 0.01%-2.39%) in hospital admissions for depression, respectively. The attributable fractions of hospital admissions, related expenditures and stays associated with ambient PM2.5-10 reached maximum values at lag03, and were 4.14% (95% CI: 0.04%-8.03%), 3.67% (95% CI: 0.03%-7.14%) and 3.89% (95% CI: 0.04%-7.54%), respectively; and the average hospitalization expenditure and stay per patient due to short-term exposure to PM2.5-10 were 483.77 (95% CI: 4.49-940.63) yuan and 1.03 (95% CI: 0.01-1.99) d, respectively.  Conclusion  Short-term exposure to ambient PM2.5-10 is associated with increased risk of hospital admissions, expenditures and stays for depression in the general urban population in China.
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