{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T19:03:47Z","timestamp":1782932627449,"version":"3.54.5"},"reference-count":50,"publisher":"Oxford University Press (OUP)","issue":"12","license":[{"start":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T00:00:00Z","timestamp":1718323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100000024","name":"Canadian Institutes for Health Research","doi-asserted-by":"crossref","award":["FRN 175357"],"award-info":[{"award-number":["FRN 175357"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["788582"],"award-info":[{"award-number":["788582"]}],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Introduction<\/jats:title>\n                  <jats:p>Early mid-life is marked by accumulating risks for cardiometabolic illness linked to health-risk behaviors like nicotine use. Identifying polygenic indices (PGI) has enriched scientific understanding of the cumulative genetic contributions to behavioral and cardiometabolic health, though few studies have assessed these associations alongside socioeconomic (SES) and lifestyle factors.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Aims and Methods<\/jats:title>\n                  <jats:p>Drawing on data from 2337 individuals from the United States participating in the National Longitudinal Study of Adolescent to Adult Health, the current study assesses the fraction of variance in five related outcomes\u2014use of conventional and electronic cigarettes, body mass index (BMI), waist circumference, and glycosylated hemoglobin (A1c)\u2014explained by PGI, SES, and lifestyle.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Regression models on African ancestry (AA) and European ancestry (EA) subsamples reveal that the fraction of variance explained by PGI ranges across outcomes. While adjusting for sex and age, PGI explained 3.5%, 2.2%, and 0% in the AA subsample of variability in BMI, waist circumference, and A1c, respectively (in the EA subsample these figures were 7.7%, 9.4%, and 1.3%). The proportion of variance explained by PGI in nicotine-use outcomes is also variable. Results further indicate that PGI and SES are generally complementary, accounting for more variance in the outcomes when modeled together versus separately.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>PGI are gaining attention in population health surveillance, but polygenic variability might not align clearly with health differences in populations or surpass SES as a fundamental cause of health disparities. We discuss future steps in integrating PGI and SES to refine population health prediction rules.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Implications<\/jats:title>\n                  <jats:p>Study findings point to the complementary relationship of PGI and socioeconomic indicators in explaining population variance in nicotine outcomes and cardiometabolic wellness. Population health surveillance and prediction rules would benefit from the combination of information from both polygenic and socioeconomic risks. Additionally, the risk for electronic cigarette use among users of conventional cigarettes may have a genetic component tied to the cumulative genetic propensity for heavy smoking. Further research on PGI for vaping is needed.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ntr\/ntae146","type":"journal-article","created":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T14:37:02Z","timestamp":1718375822000},"page":"1616-1625","source":"Crossref","is-referenced-by-count":2,"title":["Polygenic and Socioeconomic Contributions to Nicotine Use and Cardiometabolic Health in Early Mid-Life"],"prefix":"10.1093","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6982-5428","authenticated-orcid":false,"given":"Adam M","family":"Lippert","sequence":"first","affiliation":[{"name":"Sociology Department, University of Colorado Denver , Denver, CO,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel J","family":"Corsi","sequence":"additional","affiliation":[{"name":"Ottawa Hospital Research Institute, Clinical Epidemiology Program , Ottawa, ON,","place":["Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rockli","family":"Kim","sequence":"additional","affiliation":[{"name":"Division of Health Policy and Management, College of Health Science, Korea University , Seoul,","place":["South Korea"]},{"name":"Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University , Seoul,","place":["South Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robbee","family":"Wedow","sequence":"additional","affiliation":[{"name":"Sociology Department, Purdue University , West Layfette, IN,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4675-4612","authenticated-orcid":false,"given":"Jinho","family":"Kim","sequence":"additional","affiliation":[{"name":"Division of Health Policy and Management, College of Health Science, Korea University , Seoul,","place":["South Korea"]},{"name":"Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University , Seoul,","place":["South Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beza","family":"Taddess","sequence":"additional","affiliation":[{"name":"Sociology Department, Princeton University , Princeton, NJ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S V","family":"Subramanian","sequence":"additional","affiliation":[{"name":"Center for Population and Development Studies, Harvard University , Cambridge, MA ,","place":["USA"]},{"name":"Department of Social and Behavioral Sciences, Harvard T.H. 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