{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T19:20:55Z","timestamp":1791832855137,"version":"4.3.4"},"reference-count":57,"publisher":"American Chemical Society (ACS)","issue":"2","license":[{"start":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T00:00:00Z","timestamp":1514505600000},"content-version":"vor","delay-in-days":2265,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Background: Physical inactivity and exposure to air pollution are important risk factors for death and disease globally. The built environment may influence exposures to these risk factors in different ways and thus differentially affect the health of urban populations.<\/jats:p>\n                  <jats:p>Objective: We investigated the built environment\u2019s association with air pollution and physical inactivity, and estimated attributable health risks.<\/jats:p>\n                  <jats:p>Methods: We used a regional travel survey to estimate within-urban variability in physical inactivity and home-based air pollution exposure [particulate matter with aerodynamic diameter \u2264 2.5 \u03bcm (PM2.5), nitrogen oxides (NOx), and ozone (O3)] for 30,007 individuals in southern California. We then estimated the resulting risk for ischemic heart disease (IHD) using literature-derived dose\u2013response values. Using a cross-sectional approach, we compared estimated IHD mortality risks among neighborhoods based on \u201cwalkability\u201d scores.<\/jats:p>\n                  <jats:p>Results: The proportion of physically active individuals was higher in high- versus low-walkability neighborhoods (24.9% vs. 12.5%); however, only a small proportion of the population was physically active, and between-neighborhood variability in estimated IHD mortality attributable to physical inactivity was modest (7 fewer IHD deaths\/100,000\/year in high- vs. low-walkability neighborhoods). Between-neighborhood differences in estimated IHD mortality from air pollution were comparable in magnitude (9 more IHD deaths\/100,000\/year for PM2.5 and 3 fewer IHD deaths for O3 in high- vs. low-walkability neighborhoods), suggesting that population health benefits from increased physical activity in high-walkability neighborhoods may be offset by adverse effects of air pollution exposure.<\/jats:p>\n                  <jats:p>Policy implications: Currently, planning efforts mainly focus on increasing physical activity through neighborhood design. Our results suggest that differences in population health impacts among neighborhoods are similar in magnitude for air pollution and physical activity. Thus, physical activity and exposure to air pollution are critical aspects of planning for cleaner, health-promoting cities.<\/jats:p>","DOI":"10.1289\/ehp.1103806","type":"journal-article","created":{"date-parts":[[2011,10,17]],"date-time":"2011-10-17T14:19:19Z","timestamp":1318861159000},"page":"247-253","source":"Crossref","is-referenced-by-count":109,"title":["Health Impacts of the Built Environment: Within-Urban Variability in Physical Inactivity, Air Pollution, and Ischemic Heart Disease Mortality"],"prefix":"10.1021","volume":"120","author":[{"given":"Steve","family":"Hankey","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, University of Minnesota, Minneapolis, Minnesota, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julian D.","family":"Marshall","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, University of Minnesota, Minneapolis, Minnesota, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Brauer","sequence":"additional","affiliation":[{"name":"School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2011,10,17]]},"reference":[{"key":"2026080507030492400_micit1","doi-asserted-by":"crossref","first-page":"1621","DOI":"10.1001\/archinte.160.11.1621","article-title":"All-cause mortality associated with physical activity during leisure time, work, sports, and cycling to work.","volume":"160","author":"Andersen","year":"2000","journal-title":"Arch Intern Med"},{"key":"2026080507030492400_micit2","author":"Baker D, Nieuwenhuijsen M, eds","year":"2008"},{"issue":"1","key":"2026080507030492400_micit3","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1177\/0361198106197200102","article-title":"Comparative analysis of global positioning system-based and travel survey-based data.","volume":"1972","author":"Bricka","year":"2006","journal-title":"Transport Res Rec"},{"issue":"9341","key":"2026080507030492400_micit4","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1016\/S0140-6736(02)11274-8","article-title":"Air pollution and health.","volume":"360","author":"Brunekreef","year":"2002","journal-title":"Lancet"},{"key":"2026080507030492400_micit5","unstructured":"California Air Resources Board\n          . 2010. 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