{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:52:17Z","timestamp":1792457537519,"version":"4.5.0"},"reference-count":55,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2023,5,9]],"date-time":"2023-05-09T00:00:00Z","timestamp":1683590400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92043301"],"award-info":[{"award-number":["92043301"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and development Program","doi-asserted-by":"publisher","award":["2022YFC3702701"],"award-info":[{"award-number":["2022YFC3702701"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai International Science and Technology Partnership","award":["21230780200"],"award-info":[{"award-number":["21230780200"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The associations between fine and coarse particulate matter (PM2.5 and PM2.5\u201310) air pollution and hospital admissions for full-spectrum respiratory diseases were rarely investigated, especially for age-specific associations. We aim to estimate the age-specific associations of short-term exposures to PM2.5 and PM2.5\u201310 with hospital admissions for full-spectrum respiratory diseases in China.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted an individual-level case-crossover study based on a nationwide hospital-based registry including 153 hospitals across 20 provincial regions in China in 2013\u201320. We applied conditional logistic regression models and distributed lag models to estimate the exposure- and lag-response associations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 1\u200a399\u200a955 hospital admission records for various respiratory diseases were identified. The associations of PM2.5 and PM2.5\u201310 with total respiratory hospitalizations lasted for 4\u2009days, and an interquartile range increase in PM2.5 (34.5\u2009\u03bcg\/m3) and PM2.5\u201310 (26.0\u2009\u03bcg\/m3) was associated with 1.73% [95% confidence interval (95% CI): 1.34%, 2.12%)] and 1.70% (95% CI: 1.31%, 2.10%) increases, respectively, in total respiratory hospitalizations over lag 0\u20134\u2009days. Acute respiratory infections (i.e. pneumonia, bronchitis and bronchiolitis) were consistently associated with PM2.5 or PM2.5\u201310 exposure across different age groups. We found the disease spectrum varied by age, including rarely reported findings (i.e. acute laryngitis and tracheitis, and influenza) among children and well-established associations (i.e. chronic obstructive pulmonary disease, asthma, acute bronchitis and emphysema) among older populations. Besides, the associations were stronger in females, children and older populations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This nationwide case-crossover study provides robust evidence that short-term exposure to both PM2.5 and PM2.5\u201310 was associated with increased hospital admissions for a wide range of respiratory diseases, and the spectra of respiratory diseases varied by age. Females, children and older populations were more susceptible.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/ije\/dyad056","type":"journal-article","created":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T23:05:31Z","timestamp":1683759931000},"page":"715-726","source":"Crossref","is-referenced-by-count":68,"title":["Fine and coarse particulate air pollution and hospital admissions for a wide range of respiratory diseases: a nationwide case-crossover study"],"prefix":"10.1093","volume":"52","author":[{"given":"Jian","family":"Lei","sequence":"first","affiliation":[{"name":"Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather\/Climate Extremes Impact and Public Health, Fudan University , Shanghai, 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