{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T15:29:10Z","timestamp":1791646150095,"version":"4.3.4"},"reference-count":104,"publisher":"American Medical Association (AMA)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi241274-4\">\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>\n                      The associations of exposure to fine particulate matter (PM\n                      <jats:sub>2.5<\/jats:sub>\n                      ) and its constituents with spontaneous preterm birth (sPTB) remain understudied. Identifying subpopulations at increased risk characterized by socioeconomic status and other environmental factors is critical for targeted interventions.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi241274-5\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      To examine associations of PM\n                      <jats:sub>2.5<\/jats:sub>\n                      and its constituents with sPTB.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi241274-6\">\n                    <jats:title>Design, Setting, and Participants<\/jats:title>\n                    <jats:p>This population-based retrospective cohort study was conducted from 2008 to 2018 within a large integrated health care system, Kaiser Permanente Southern California. Singleton live births with recorded residential information of pregnant individuals during pregnancy were included. Data were analyzed from December 2023 to March 2024.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi241274-7\">\n                    <jats:title>Exposures<\/jats:title>\n                    <jats:p>\n                      Daily total PM\n                      <jats:sub>2.5<\/jats:sub>\n                      concentrations and monthly data on 5 PM\n                      <jats:sub>2.5<\/jats:sub>\n                      constituents (sulfate, nitrate, ammonium, organic matter, and black carbon) in California were assessed, and mean exposures to these pollutants during pregnancy and by trimester were calculated. Exposures to total green space, trees, low-lying vegetation, and grass were estimated using street view images. Wildfire-related exposure was measured by the mean concentration of wildfire-specific PM\n                      <jats:sub>2.5<\/jats:sub>\n                      during pregnancy. Additionally, the mean exposure to daily maximum temperature during pregnancy was calculated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi241274-8\">\n                    <jats:title>Main Outcomes and Measures<\/jats:title>\n                    <jats:p>\n                      The primary outcome was sPTB identified through a natural language processing algorithm. Discrete-time survival models were used to estimate associations of total PM\n                      <jats:sub>2.5<\/jats:sub>\n                      concentration and its 5 constituents with sPTB. Interaction terms were used to examine the effect modification by race and ethnicity, educational attainment, household income, and exposures to green space, wildfire smoke, and temperature.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi241274-9\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among 409\u202f037 births (mean [SD] age of mothers at delivery, 30.3 [5.8] years), there were positive associations of PM\n                      <jats:sub>2.5<\/jats:sub>\n                      , black carbon, nitrate, and sulfate with sPTB. Adjusted odds ratios (aORs) per IQR increase were 1.15 (95% CI, 1.12-1.18;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;amp;lt;\u2009.001) for PM\n                      <jats:sub>2.5<\/jats:sub>\n                      (IQR, 2.76 \u03bcg\/m\n                      <jats:sup>3<\/jats:sup>\n                      ), 1.15 (95% CI, 1.11-1.20;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;amp;lt;\u2009.001) for black carbon (IQR, 1.05 \u03bcg\/m\n                      <jats:sup>3<\/jats:sup>\n                      ), 1.09 (95% CI, 1.06-1.13;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;amp;lt;\u2009.001) for nitrate (IQR, 0.93 \u03bcg\/m\n                      <jats:sup>3<\/jats:sup>\n                      ), and 1.06 (95% CI, 1.03-1.09;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;amp;lt;\u2009.001) for sulfate (IQR, 0.40 \u03bcg\/m\n                      <jats:sup>3<\/jats:sup>\n                      ) over the entire pregnancy. The second trimester was the most susceptible window; for example, aORs for total PM\n                      <jats:sub>2.5<\/jats:sub>\n                      concentration were 1.07 (95% CI, 1.05-1.09;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;amp;lt;\u2009.001) in the first, 1.10 (95% CI, 1.08-1.12;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;amp;lt;\u2009.001) in the second, and 1.09 (95% CI, 1.07-1.11;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;amp;lt;\u2009.001) in the third trimester. Significantly higher aORs were observed among individuals with lower educational attainment (eg, less than college: aOR, 1.16; 95% CI, 1.12-1.21 vs college [\u22654 years]: aOR, 1.10; 95% CI, 1.06-1.14;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u2009.03) or income (&amp;amp;lt;50th percentile: aOR, 1.17; 95% CI, 1.14-1.21 vs \u226550th percentile: aOR, 1.12; 95% CI, 1.09-1.16;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u2009.02) or who were exposed to limited green space (&amp;amp;lt;50th percentile: aOR, 1.19; 95% CI, 1.15-1.23 vs \u226550th percentile: aOR, 1.12; 95% CI, 1.09-1.15;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u2009.003), more wildfire smoke (\u226550th percentile: aOR, 1.19; 95% CI, 1.16-1.23 vs &amp;amp;lt;50th percentile: aOR, 1.13; 95% CI, 1.09-1.16;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u2009.009), or extreme heat (aOR, 1.51; 95% CI, 1.42-1.59 vs mild temperature: aOR, 1.11; 95% CI, 1.09-1.14;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;amp;lt;\u2009.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi241274-10\">\n                    <jats:title>Conclusions and Relevance<\/jats:title>\n                    <jats:p>\n                      In this study, exposures to PM\n                      <jats:sub>2.5<\/jats:sub>\n                      and specific PM\n                      <jats:sub>2.5<\/jats:sub>\n                      constituents during pregnancy were associated with increased odds of sPTB. Socioeconomic status and other environmental exposures modified this association.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2024.44593","type":"journal-article","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T11:37:19Z","timestamp":1731497839000},"page":"e2444593","source":"Crossref","is-referenced-by-count":33,"title":["Fine Particulate Matter, Its Constituents, and Spontaneous Preterm Birth"],"prefix":"10.1001","volume":"7","author":[{"given":"Anqi","family":"Jiao","sequence":"first","affiliation":[{"name":"Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexa N.","family":"Reilly","sequence":"additional","affiliation":[{"name":"Kaiser Permanente Bernard J. 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