{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T19:42:50Z","timestamp":1792611770839,"version":"4.5.0"},"reference-count":39,"publisher":"American Chemical Society (ACS)","issue":"01","license":[{"start":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T00:00:00Z","timestamp":1514505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Coarse particulate matter with aerodynamic diameter between 2.5 and 10\u03bcm (PM2.5\u201310) air pollution is a severe environmental problem in developing countries, but its challenges to public health were rarely evaluated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>We aimed to investigate the associations between day-to-day changes in PM2.5\u201310 and cause-specific mortality in China.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We conducted a nationwide daily time-series analysis in 272 main Chinese cities from 2013 to 2015. The associations between PM2.5\u201310 concentrations and mortality were analyzed in each city using overdispersed generalized additive models. Two-stage Bayesian hierarchical models were used to estimate national and regional average associations, and random-effect models were used to pool city-specific concentration\u2013response curves. Two-pollutant models were adjusted for fine particles with aerodynamic diameter \u22642.5\u03bcm (PM2.5) or gaseous pollutants.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Overall, we observed positive and approximately linear concentration\u2013response associations between PM2.5\u201310 and daily mortality. A 10-\u03bcg\/m3 increase in PM2.5\u201310 was associated with higher mortality due to nonaccidental causes [0.23%; 95% posterior interval (PI): 0.13, 0.33], cardiovascular diseases (CVDs; 0.25%; 95% PI: 0.13, 0.37), coronary heart disease (CHD; 0.21%; 95% PI: 0.05, 0.36), stroke (0.21%; 95% PI: 0.08, 0.35), respiratory diseases (0.26%; 95% PI: 0.07, 0.46), and chronic obstructive pulmonary disease (COPD; 0.34%; 95% PI: 0.12, 0.57). Associations were stronger for cities in southern vs. northern China, with significant differences for total and cardiovascular mortality. Associations with PM2.5\u201310 were of similar magnitude to those for PM2.5 in both single- and two-pollutant models with mutual adjustment. Associations were robust to adjustment for gaseous pollutants other than nitrogen dioxide and sulfur dioxide. Meta-regression indicated that a larger positive correlation between PM2.5\u201310 and PM2.5 predicted stronger city-specific associations between PM2.5\u201310 and total mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>This analysis showed significant associations between short-term PM2.5\u201310 exposure and daily nonaccidental and cardiopulmonary mortality based on data from 272 cities located throughout China. Associations appeared to be independent of exposure to PM2.5, carbon monoxide, and ozone. https:\/\/doi.org\/10.1289\/EHP2711<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1289\/ehp2711","type":"journal-article","created":{"date-parts":[[2019,1,31]],"date-time":"2019-01-31T12:19:10Z","timestamp":1548937150000},"source":"Crossref","is-referenced-by-count":185,"title":["Associations between Coarse Particulate Matter Air Pollution and Cause-Specific Mortality: A Nationwide Analysis in 272 Chinese Cities"],"prefix":"10.1021","volume":"127","author":[{"given":"Renjie","family":"Chen","sequence":"first","affiliation":[{"name":"Fudan University School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, , Shanghai,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Yin","sequence":"additional","affiliation":[{"name":"National Center for Chronic Noncommunicable 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Shanghai,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Niu","sequence":"additional","affiliation":[{"name":"Fudan University School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, , Shanghai,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunning","family":"Liu","sequence":"additional","affiliation":[{"name":"National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiangmei","family":"Liu","sequence":"additional","affiliation":[{"name":"National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinlei","family":"Qi","sequence":"additional","affiliation":[{"name":"National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinling","family":"You","sequence":"additional","affiliation":[{"name":"National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haidong","family":"Kan","sequence":"additional","affiliation":[{"name":"Fudan University School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, , Shanghai,","place":["China"]},{"name":"Children\u2019s Hospital of Fudan University, National Center 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