{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T00:32:53Z","timestamp":1793147573032,"version":"4.5.0"},"reference-count":62,"publisher":"Oxford University Press (OUP)","issue":"15","license":[{"start":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T00:00:00Z","timestamp":1780531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,10,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>This study uses a target trial emulation framework to estimate how different hypothetical sustained alcohol intake patterns affect 30-year cardiovascular disease risk in young adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and results<\/jats:title>\n                    <jats:p>This target trial emulation used longitudinal data from the CARDIA study, a multi-site cohort of Black and White young adults aged 18\u201330 at baseline (1985\u201386), followed for 35 years. The exposure of this study consisted of self-reported daily alcohol intake categorized by sex into abstainer, light, moderate, heavy, and very heavy use categories. The emulated intervention compared hypothetical scenarios in which participants maintained consistent levels of alcohol consumption over time (assigned each of the five categories above) to estimate their long-term cardiovascular risk. Using the parametric g-formula to account for time-varying confounding and treatment\u2013confounder feedback, we then estimated the 30-year incident risk of the composite cardiovascular outcome. Over 30 years, the overall cardiovascular disease (CVD) risk among all participants was 8.7%. Abstaining was associated with a slightly lower risk [8.3%; risk difference (RD), \u22120.4%; 95% confidence interval (CI), \u22120.6\u20130.1], while light (8.8%; RD, 0.2%; 95% CI, \u22120.1\u20130.2) and moderate (9.4%; RD, 0.7%; 95% CI, \u22120.1\u20130.9) drinking showed minimal risk differences. Heavy (RD, 1.3%; 95% CI, \u22120.2\u20131.8) and very heavy drinking (RD, 1.9%; 95% CI, \u22120.3\u20132.9) suggested modestly increased risks, though CIs included no effect.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This hypothetical intervention indicates no meaningful difference in 30-year CVD risk among abstainers, light, or moderate drinkers in young adults. Heavy alcohol intake may modestly raise risk, but estimates are imprecise with a range from no effect to a modest increase. By addressing key biases and leveraging comprehensive longitudinal data, these findings offer valuable insights for clinical and public health guidance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Lay summary<\/jats:title>\n                    <jats:p>Overview: The long-term impact of alcohol consumption patterns starting in early adulthood on cardiovascular disease (CVD) risk remains unclear, partly due to the lack of randomized trials and limited inclusion of young adults in observational studies. Existing evidence suggests that sustained light to moderate drinking likely does not increase long-term CVD risk (with evidence suggesting that it is possibly beneficial), whereas heavy consumption may elevate it. This study utilizes a target trial emulation framework to assess the relationship between alcohol intake and CVD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Findings<\/jats:title>\n                    <jats:p>Using data of young adults from the CARDIA study, this target trial emulation study found no material difference in 30-year CVD risks among abstainers and those with light or moderate alcohol intake. Heavy and very heavy intakes were associated with suggestive increases in risk but are imprecise. Estimates accounted for time-varying confounding and treatment-confounder feedback.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/eurjpc\/zwag302","type":"journal-article","created":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T11:46:21Z","timestamp":1780487181000},"page":"2804-2814","source":"Crossref","is-referenced-by-count":1,"title":["Target trial emulation of alcohol intake interventions in young adults and risk of cardiovascular disease over 30 years: data from the CARDIA study"],"prefix":"10.1093","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2309-1959","authenticated-orcid":false,"given":"Jiarui","family":"Li","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, UC Irvine Joe C. Wen School of Population and Public Health 856 Health Sciences Quad, Suite 3400 Irvine, CA 92697-3957 , United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2281-7260","authenticated-orcid":false,"given":"Luohua","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, UC Irvine Joe C. Wen School of Population and Public Health 856 Health Sciences Quad, Suite 3400 Irvine, CA 92697-3957 , United States"},{"name":"Center for Global Cardiometabolic Health and Nutrition, UC Irvine, 856 Health Sciences Quad, Suite 3400, Irvine, CA 92697-3957 ,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David S","family":"Timberlake","sequence":"additional","affiliation":[{"name":"Department of Population Health and Disease Prevention, UC Irvine Joe C. Wen School of Population and Public Health, 856 Health Sciences Quad, Suite 3800, Irvine, CA 92697-3957 ,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nathan D","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Medicine, UC Irvine School of Medicine, 1001 Health Sciences Road, Irvine, CA 92697 ,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7232-0543","authenticated-orcid":false,"suffix":"Jr","given":"David R","family":"Jacobs","sequence":"additional","affiliation":[{"name":"Division of Epidemiology & Community Health, University of Minnesota School of Public Health 1300 South Second Street, Suite 300, Minneapolis, MN 55454 ,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8357-8398","authenticated-orcid":false,"given":"Andrew O","family":"Odegaard","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, UC Irvine Joe C. 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