Air pollution and adult hospital admissions for ischemic stroke: a time-series analysis in Inner Mongolia, China.

Sen FENG; Chunhua LI; Yujing JIN; Haibo WANG; Ruying WANG; Zakaria Ahmed MOHAMED; Yulong ZHANG; Yan YAO

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Air pollution and adult hospital admissions for ischemic stroke: a time-series analysis in Inner Mongolia, China.

Author: Sen FENG ¹ ; Chunhua LI ² ; Yujing JIN ¹ ; Haibo WANG ¹ ; Ruying WANG ¹ ; Zakaria Ahmed MOHAMED ¹ ; Yulong ZHANG ¹ ; Yan YAO ¹
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1. Epidemiology and Biostatistics, School of Public Health.
2. Department of Endocrinology, Affiliated Hospital of Changchun University of Chinese Medicine.
Publication Type:Observational Study
Keywords: Air pollutant; Cumulative effect; Ischemic stroke
MeSH: Humans; Male; Female; Air Pollution/analysis*; China/epidemiology*; Retrospective Studies; Middle Aged; Air Pollutants/analysis*; Aged; Particulate Matter/analysis*; Hospitalization/statistics & numerical data*; Adult; Ischemic Stroke/chemically induced*; Environmental Exposure/adverse effects*; Aged, 80 and over
From:Environmental Health and Preventive Medicine 2025;30():29-29
CountryJapan
Language:English
Abstract: BACKGROUND:Previous studies have demonstrated that short-term exposure to ambient particulate matter elevates the risk of ischemic stroke in major urban areas of various countries. However, there is a notable gap in research focusing on remote areas inhabited by ethnic minorities and the cumulative effects of air pollutants. Our study conducted in the area aims to explore the potential association between ischemic stroke and air pollutants and contribute to improving health outcomes among the community.
METHODS:This retrospective observational study was conducted at the Xing'an League People's Hospital in Inner Mongolia. The medical records of 4,288 patients admitted for IS between November 1, 2019, and October 31, 2020, were reviewed. Data on demographics (age and sex), air pollutants (PM₁₀, PM_2.5, NO₂, NO, CO, and O₃), and meteorological factors (daily average temperature, daily average wind speed, and daily average atmosphere pressure) were collected and analyzed. The statistical analysis included descriptive statistics, Poisson distribution analysis to evaluate the adverse effects of atmospheric pollutants on daily hospitalizations, and subgroup analysis to determine whether gender and age could modify the impact on hospitalizations.
RESULTS:A substantial correlation was revealed in single-day lags model. The peak delayed effects of PM₁₀, PM_2.5, SO₂, and NO₂ were observed at lag8 (PM₁₀ (OR = 1.016, 95%CI 1.002, 1.030), PM_2.5 (OR = 1.027, 95%CI 1.007, 1.048), SO₂ (OR = 1.153, 95%CI 1.040, 279) and NO₂ (OR = 1.054, 95%CI 1.005, 1.105)) while males exhibited a consistent trend from lag0 to lag8 (PM₁₀ (OR = 1.035, 95%CI 1.018, 1.053), PM_2.5 (OR = 1.056, 95%CI 1.030, 1.082), SO₂ (OR = 1.220, 95%CI 1.072, 1.389), NO₂ (OR = 1.126, 95%CI 1.061, 1.120), CO (OR = 10.059, 95%CI 1.697, 59.638) and O₃ (OR = 0.972, 95%CI 0.946, 0.999)). When gender and age were considered, a positive impact was also observed after three days cumulative effect in males.
CONCLUSIONS:There is a significant cumulative effect of exposure to air pollution on IS hospital admissions, especially the males and patients under the age of 65. Our results also suggested that a notable association between CO and NO₂ in two-pollutant models.