Misc Published August18, 2017 By Staff Reporter

Quit Smoking News: Daily e-cigarette users had highest rates of quitting smoking

Study results are published online in the journal Addictive Behaviors.

After accounting for participants' desire to quit smoking cigarettes and controlling for other factors known to predict quitting such as educational attainment, health insurance, and age, the probably of having quit was three times higher among daily e-cigarette users compared to never e-cigarette users.

"While questions regarding the efficacy of e-cigarettes for smoking cessation remain, our findings suggest that frequent e-cigarette use may play an important role in cessation or relapse prevention for some smokers," said Daniel Giovenco, PhD, assistant professor of Sociomedical Sciences at the Mailman School of Public Health, and lead author.

The researchers used data from the 2014 and 2015 National Health Interview Survey, an annual, cross-sectional household interview survey, and restricted the sample to current smokers and former smokers who quit in 2010 or later. This year marked the rapid rise in the popularity of e-cigarettes and their U.S. market entry. The researchers found the single strongest predictor of having quit was daily e-cigarette use. Smokers who were only occasional users of e-cigarettes were less likely to quit smoking cigarettes.

"Without knowing details about device attributes, user experiences, and motivations for e-cigarette use, reasons for low cessation rates among infrequent e-cigarette users are unclear," suggested Cristine Delnevo, PhD, the study's second author and vice dean of the Rutgers School of Public Health, who joins her co-author in underscoring the need for improved e-cigarette survey measures that assess this critical information.

Giovenco adds, "The FDA recently delayed rules that would have limited e-cigarettes on the market. This indicates that public health officials may be receptive to innovative and lower-risk nicotine products. Uncovering patterns of use at the population level is a critical first step in determining if they may present any benefits to public health."

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