{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T20:24:12Z","timestamp":1770755052822,"version":"3.50.0"},"reference-count":49,"publisher":"S. Karger AG","license":[{"start":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T00:00:00Z","timestamp":1767139200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/karger.com\/pages\/terms-and-conditions"},{"start":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T00:00:00Z","timestamp":1767139200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/karger.com\/pages\/terms-and-conditions"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neuroepidemiology"],"abstract":"<jats:p>Introduction: As one of the most prevalent neurological disorders, epilepsy imposes a major health burden. Emerging evidence suggests a possible association between air pollution and epilepsy incidence, but its effect on epilepsy-related deaths remains unknown. Methods: We conducted an individual-level time-stratified case-crossover study in Jiangsu province, China (2015\u20132022) to explore the associations between short-term exposure to air pollution and epilepsy deaths, focusing on fine particulate matter (PM&lt;sub&gt;2.5&lt;\/sub&gt;), inhalable particulate matter (PM&lt;sub&gt;10)&lt;\/sub&gt;, sulfur dioxide (SO&lt;sub&gt;2&lt;\/sub&gt;), nitrogen dioxide (NO&lt;sub&gt;2&lt;\/sub&gt;), carbon monoxide (CO), and ozone (O&lt;sub&gt;3&lt;\/sub&gt;). Exposure at each subject\u2019s residential address was assessed by extracting concentrations from ChinaHighAirPollutants, a series of validated gridded datasets with a high spatial resolution (1 km \u00d7 1 km). Conditional logistic regression models were fitted to quantify exposure-response associations. The attributable fraction and attributable number from air pollution were calculated to estimate their disease burden. Results: Each interquartile range (IQR) increase in exposure to PM&lt;sub&gt;2.5&lt;\/sub&gt; (IQR: 32.6 \u03bcg\/m3), PM&lt;sub&gt;10&lt;\/sub&gt; (IQR: 51.3 \u03bcg\/m3), SO&lt;sub&gt;2&lt;\/sub&gt; (IQR: 8.5 \u03bcg\/m3), NO&lt;sub&gt;2&lt;\/sub&gt; (IQR: 20.8 \u03bcg\/m3), and CO (IQR: 0.3 mg\/m3) was significantly associated with a 10.6% (95% CI: 2.9%, 18.9%), 10.5% (2.8%, 18.8%), 9.9% (0.5%, 20.1%), 9.8% (1.2%, 19.2%), and 8.5% (0.5%, 17.1%) higher odds of epilepsy death (all p &lt; 0.05). The association between PM&lt;sub&gt;2.5&lt;\/sub&gt; exposure and epilepsy deaths was significantly stronger among individuals &lt;50 years. Up to 12.3% of epilepsy deaths were attributable to air pollution. Conclusion: Exposure to ambient air pollution was significantly associated with increased odds of epilepsy death, especially for younger individuals.<\/jats:p>","DOI":"10.1159\/000550009","type":"journal-article","created":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T17:01:00Z","timestamp":1767200460000},"page":"1-12","source":"Crossref","is-referenced-by-count":0,"title":["Short-Term Exposure to Ambient Air Pollution and Epilepsy Mortality: A Population-Based Case-Crossover 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