{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T06:11:40Z","timestamp":1789193500512,"version":"build-2803163510"},"reference-count":58,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T00:00:00Z","timestamp":1757030400000},"content-version":"vor","delay-in-days":4,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"American Cancer Society Clinical Research"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Political determinants of cancer risk are largely unexplored, conceptually and empirically.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Observational analysis of associations present in 2017-2021 between 5 state-level political metrics and 4 age-standardized cancer outcomes (regional and distant stage at diagnosis for breast, cervical, and colorectal cancer among screening-age adults and premature cancer mortality), overall and in standardized linear regression models adjusting for state-level poverty and medical uninsurance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In fully adjusted models (adjusted for state-level poverty and state-level medical uninsurance variables: % working age adults [age 35-64] without medical insurance; number of years of state Medicaid expansion), each 1 SD shift toward a more liberal political ideology (measured by voting record) among elected officials in the US House of Representatives was associated with decreased risk of diagnosis with regional and distant breast and colorectal cancer (respectively: \u22120.76, 95% confidence interval [CI] = \u22121.26 to \u22120.25; \u22120.75; 95% CI = \u22121.5 to 0). Risk of premature cancer mortality likewise was lower, in the fully adjusted models, with each 1 SD shift toward more liberal scores for the state electoral college vote (\u22122.01, 95% CI = \u22123.68 to \u22120.33), the state liberalism policy index (\u22122.51, 95% CI = \u22124.48 to \u22120.54), and political ideology of elected officials in the US Senate (\u22121.93, 95% CI = \u22123.71 to \u22120.14).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our state-level analyses suggest that political metrics are associated with preventable cancer outcomes. Efforts to reduce population burdens of cancer and inequities in these burdens could benefit from analyses of sociopolitical drivers of cancer risk across the cancer continuum.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jncics\/pkaf073","type":"journal-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T14:13:04Z","timestamp":1752502384000},"source":"Crossref","is-referenced-by-count":4,"title":["Political determinants of US states\u2019 screening-amenable cancer stage at diagnosis and premature cancer mortality"],"prefix":"10.1093","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4815-5947","authenticated-orcid":false,"given":"Nancy","family":"Krieger","sequence":"first","affiliation":[{"name":"Department of Social and Behavioral Sciences, Harvard T.H. 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