Open AccessMeta‐Analysis of Association between Particulate Matter and Stroke Attack
Author(s) -
Li XiuYang,
Yu XiaoBo,
Liang WeiWei,
Yu Nan,
Wang Li,
Ye XuJun,
Chen Kun,
Bian PingDa
Publication year - 2012
Publication title -
cns neuroscience and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 69
eISSN - 1755-5949
pISSN - 1755-5930
DOI - 10.1111/j.1755-5949.2012.00325.x
Subject(s) - stroke (engine) , aerodynamic diameter , confidence interval , odds ratio , particulates , medicine , meta analysis , chemistry , mechanical engineering , organic chemistry , engineering
SUMMARY Aims: We conducted systematic review as well as meta‐analyses on the association between particulate matter and daily stroke attack from a number of epidemiologic studies. Methods: Twelve quantitative studies about the associations between particulate matter and stroke attack met the inclusive criteria. We evaluated the odds ratio (OR) of stroke attack associated with per 10 μg/m 3 increase of the concentration of PM 10 (particulate matter with aerodynamic diameter ≤ 10 μm) or PM 2.5 (particulate matter with aerodynamic diameter ≤ 2.5 μm) as effect scale, and a sensitivity analysis for the results was conducted. Results: In the time‐series design, PM 10 exposure wasn't related to an increased risk of daily stroke attack [OR per 10 μg/m 3 = 1.002, 95% confidence interval (CI): 0.999∼1.005], PM 2.5 exposure were related to an increased risk of daily stroke attack (OR per 10 μg/m 3 = 1.006, 95%CI: 1.002∼1.010]; but in the case‐crossover studies, PM 10 exposure was related to increase in risk of daily stroke attack (OR per 10 μg/m 3 = 1.028, 95%CI: 1.001∼1.057). PM 2.5 exposure was not significant association with daily stroke attack (OR per 10 μg/m 3 = 1.016, 95%CI: 0.937∼1.097). Sensitivity analysis showed that the results for PM 10 , PM 2.5 and daily stroke attack were robust in the time‐series design. Conclusions: We found some evidence for an effect of air pollutants on stroke attack risk.