Association of ambient fine particulate air pollution with hospitalization costs and stays for depression in China: a multicity analysis.
10.3760/cma.j.cn112150-20220317-00251
- VernacularTitle:大气细颗粒物污染对中国57个城市抑郁症患者住院费用和时间的影响
- Author:
Zhou Yang XU
1
;
Zi Chuan LI
1
;
Ya Ting MA
2
;
Wan Zhou WANG
1
;
Xin Biao GUO
1
;
Fu Rong DENG
1
;
Shao Wei WU
3
Author Information
1. Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
2. Institute of Social Psychology, School of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an 712046, China.
3. Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 712046, China.
- Publication Type:Journal Article
- MeSH:
Adult;
Air Pollutants/analysis*;
Air Pollution/analysis*;
China/epidemiology*;
Depression;
Dust/analysis*;
Female;
Hospitalization;
Humans;
Male;
Middle Aged;
Particulate Matter/analysis*
- From:
Chinese Journal of Preventive Medicine
2022;56(5):561-566
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the effect of fine particulate matter (PM2.5) pollution on depression hospitalization cost and length of stay in 57 cities of China. Methods: A total of 84 207 patients with depression in 57 cities of China from January 2013 to December 2017 were selected as the subjects. The demographic characteristics and hospitalization status of the patients were obtained from the database of basic medical insurance for urban workers and urban residents in China. The environmental exposure data of the same period were obtained from the national air quality real-time release platform of China Environmental Monitoring Station. A generalized additive model based on quasi-Poisson distribution was used to analyze PM2.5 exposure effect in each city, and the nonlinear mixing of moving average temperature, relative humidity and date was controlled by natural smooth spline function. Results: Among the included cities, southern cities accounted for 50.88% (29), and the number of female inpatients, hospitalization costs and hospitalization days accounted for 62.65%, 63.50% and 60.85% (42 735 cases, 567.78 million yuan and 1.14 million days, respectively). The proportion of hospitalized cases, hospitalization cost and length of stay in the age group of 40 to 64 years old were 59.15% (40 346 cases), 53.92% (482.15 million yuan) and 52.07% (0.98 million days), respectively. PM2.5 level was positively correlated with the number of hospitalized cases with depression, hospitalization cost and length of stay. When the 3-day moving average of PM2.5 exposure level increased by 10 μg/m3, the number of hospitalization cases increased by 0.64%. The attributed percentage (95%CI) of hospitalized cases, hospitalization costs and length of stay were 3.35% (0.57%-6.04%), 3.04% (0.52%-5.48%) and 3.07% (0.49%-5.56%), respectively. Subgroup analysis showed that the attributed percentage of hospitalization cases, hospitalization cost and length of stay to PM2.5 exposure ranged from 3.97% to 4.68%, 4.04% to 4.33% and 4.13% to 4.30% in northern China, male and cold season, respectively. Conclusion: PM2.5 exposure is associated with the increase of hospitalization cost and length of stay among Chinese urban population with depression.
