4.5 Article

Electronic cigarette use among US adults in the Population Assessment of Tobacco and Health (PATH) Study, 2013-2014

期刊

TOBACCO CONTROL
卷 26, 期 E2, 页码 e117-e126

出版社

BMJ PUBLISHING GROUP
DOI: 10.1136/tobaccocontrol-2016-053462

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资金

  1. Federal funds from the National Institute on Drug Abuse
  2. National Institutes of Health and the Food and Drug Administration, Department of Health and Human Services [HHSN271201100027C]

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Background Electronic cigarette (e-cigarette) use in the USA is increasing. As such, it is critical to understand who uses e-cigarettes, how e-cigarettes are used and what types of products are prevalent. This study assesses patterns of current e-cigarette use among daily and non-daily adult users in the 2013-2014 Population Assessment of Tobacco and Health (PATH) Study. Methods We examined the proportion of current adult e-cigarette users (n=3642) reporting infrequent use (use on some days' and use on 0-2 of the past 30 days), moderate use (use on some days' and use on >2 of the past 30 days) and daily use. We examined demographic characteristics, use of other tobacco products and e-cigarette product characteristics overall and by use category. Adjusted prevalence ratios (aPRs) were calculated using Poisson regression to assess correlates of daily e-cigarette use. Results Among the 5.5% of adult current e-cigarette users in the PATH Study, 42.2% reported infrequent use, 36.5% reported moderate use and 21.3% reported daily use. Cigarette smokers who quit in the past year were more likely to report daily e-cigarette use, compared with current smokers (aPR=3.21, 95% CI=2.75 to 3.76). Those who reported using rechargeable or refillable devices were more likely to report daily use compared with those who did not use these devices (aPR=1.95, 95% CI=1.44 to 2.65 and aPR=2.10, 95% CI=1.75 to 2.52, respectively). Conclusions The majority of e-cigarette users in this study reported less than daily use. Compared with non-daily use, daily use was associated with being a former smoker; however, cross-sectional data limits our ability to establish the temporality or directionality of such associations.

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