{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T05:37:20Z","timestamp":1776231440184,"version":"3.50.1"},"reference-count":25,"publisher":"American Medical Association (AMA)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"Importance<\/jats:title>The prevalence of electronic nicotine delivery systems (ENDS) use, including e-cigarettes, among US young adults (YAs) has raised questions about how these products may affect future tobacco and nicotine use among YAs. Given this prevalence and that young adulthood is a critical period for the establishment of tobacco and nicotine use, it is important to consider the association between ENDS use and cigarette smoking specifically in this age group.<\/jats:p><\/jats:sec>Objective<\/jats:title>To examine whether ENDS use frequency or intensity is associated with changes in cigarette smoking among US YA ever smokers during 1 year.<\/jats:p><\/jats:sec>Design, Setting, and Participants<\/jats:title>This cohort study used 3 waves of data (2013-2014, 2014-2015, and 2015-2016) from the Population Assessment of Tobacco and Health (PATH) Study, an ongoing longitudinal cohort study of adults and youth. Unweighted 1:6 propensity score matching was used to match participants on wave 1 risk factors for ENDS use at wave 2. The changes in smoking between wave 2 and wave 3 were assessed using the matched sample. In total, 1096 ENDS-naive, ever cigarette\u2013smoking YAs (18-24 years of age) at wave 1 who participated in wave 2 and wave 3 and who had complete data in the PATH Study were included in the analyses, which were conducted from August 2018 to October 2019.<\/jats:p><\/jats:sec>Exposures<\/jats:title>Never ENDS use (n\u2009=\u2009987), any previous 30-day ENDS use (n\u2009=\u2009109), 1 to 5 days of ENDS use in the previous 30 days (n\u2009=\u200975), and 6 or more days ENDS use in the previous 30 days at wave 2 (n\u2009=\u200934).<\/jats:p><\/jats:sec>Main Outcomes and Measures<\/jats:title>The analytic sample was selected using multiple variables based on peer-reviewed literature supporting associations with ENDS use. The main outcomes\u2014changes in cigarette smoking behavior between wave 2 and wave 3\u2014were defined using 2 measures: (1) change in smoking frequency, defined as the number of smoking days in the previous 30 days at wave 3 vs wave 2, and (2) change in smoking intensity, defined as the number smoking days in the previous 30 days multiplied by the mean number of cigarettes consumed on smoking days at wave 3 vs wave 2.<\/jats:p><\/jats:sec>Results<\/jats:title>The present cohort analyses included 1096 YA ever smokers who were ENDS naive at wave 1. The majority of the sample were women (609 [55.6%]) and White individuals (698 [63.7%]), and the mean (SD) age was 21.4 (1.9) years. In wave 1, 161 YAs (14.7%) were daily smokers in the previous 30 days. After propensity score matching, no statistically significant associations were observed between any definition of wave 2 ENDS use and changes in either the frequency or intensity of smoking at wave 3.<\/jats:p><\/jats:sec>Conclusions and Relevance<\/jats:title>In this cohort study of US YA ever smokers, ENDS use was not associated with either decreased or increased cigarette smoking during a 1-year period. However, it is possible that the rapidly evolving marketplace of vaping products may lead to different trajectories of YA cigarette and ENDS use in the future.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2020.15893","type":"journal-article","created":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T03:16:18Z","timestamp":1606274178000},"page":"e2015893","source":"Crossref","is-referenced-by-count":9,"title":["Association of Electronic Nicotine Delivery System Use With Cigarette Smoking Progression or Reduction Among Young Adults"],"prefix":"10.1001","volume":"3","author":[{"given":"Jennifer L.","family":"Pearson","sequence":"first","affiliation":[{"name":"Division of Social and Behavioral Science\/Health Administration and Policy, School of Community Health Sciences, University of Nevada, Reno"},{"name":"Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eva","family":"Sharma","sequence":"additional","affiliation":[{"name":"Westat, Rockville, Maryland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Rui","sequence":"additional","affiliation":[{"name":"Westat, Rockville, Maryland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael J.","family":"Halenar","sequence":"additional","affiliation":[{"name":"Westat, Rockville, Maryland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amanda L.","family":"Johnson","sequence":"additional","affiliation":[{"name":"Office of Science, Center for Tobacco Products Food and Drug Administration, Silver Spring, Maryland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. 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