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Abstract Title:

The association between high particulate matter pollution and daily cause-specific hospital admissions: a time-series study in Yichang, China.

Abstract Source:

Environ Sci Pollut Res Int. 2019 Dec 17. Epub 2019 Dec 17. PMID: 31848968

Abstract Author(s):

Chengye Yao, Yu Wang, Christopher Williams, Chengzhong Xu, Christiana Kartsonaki, Yun Lin, Pei Zhang, Peng Yin, Kin Bong Hubert Lam

Article Affiliation:

Chengye Yao

Abstract:

Particulate matter (PM) air pollution is one of the major causes of morbidity and mortality in China. In this study, we estimated the short-term effects of PM on cause-specific hospitalization in Yichang, China. Daily data for PM level, meteorological factors, and hospital admissions (total hospitalization counts = 391,960) in Yichang between 2015 and 2017 were collected. We conducted a time-series study and applied a generalized additive model to evaluate the association between every 10 μg/mincrement of PM and percent increase of hospitalization. We found positive and statistically significant associations between PM and hospital admissions for multiple outcomes, including all-cause, total respiratory, total cardiovascular diseases, and disease subcategories (hypertensive disease, coronary heart disease, stroke and the stroke subtype, chronic obstructive pulmonary disease, and lower respiratory infection). Each 10 μg/mincrease in PMat Lag01 (a moving average of Lag0 to Lag1), was significantly associated with an increase of 1.31% (95% CI: 0.79%, 1.83%), 1.12% (95% CI: 0.40%, 1.84%), and 1.14% (95% CI: 0.53%, 1.75%) in hospitalizations for all-cause, CVD, and respiratory, respectively. The association for PMwith all-cause, CVD, and respiratory admissions was similar but weaker than PM. The effect on admissions persisted for up to 7 days, and peaked at Lag01. The associations between PM and all-cause hospitalizations were stronger among older individuals and in cold seasons. It is therefore important to continue implementation of emission abatement and other effective measures in Yichang and other cities in China.

Study Type : Human Study

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