The Impact of Trying Electronic Cigarettes on Cigarette Smoking by College Students: A Prospective Analysis

Sutfin, Erin L.; Reboussin, Beth A.; Debinski, Beata; Wagoner, Kimberly G.; Spangler, John G.; Wolfson, Mark

doi:10.2105/ajph.2015.302707

Cited by 90 publications

(86 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…7,21–24,34–43 Point estimates in 13 of the 15 studies indicated decreased smoking cessation among those who used e-cigarettes, six of which reported statistically significant results. 24,34,36,40,41,43 One study 7 found that intensive e-cigarette users (those who used e-cigarettes daily for at least 1 month) had significantly increased smoking cessation and that intermittent e-cigarette users had a non-significant decrease in smoking cessation. In three studies without control groups (excluded from the meta-analysis), 16,45,46 smoking cessation rates among e-cigarette users ranged from 17% at 8 weeks, 45 to 41% at 1 year, 46 to 46% at 1 year.…”

Section: Resultsmentioning

confidence: 99%

E-cigarettes and smoking cessation in real-world and clinical settings: a systematic review and meta-analysis

Kalkhoran

Glantz

2016

The Lancet Respiratory Medicine

802

564

View full text Add to dashboard Cite

Summary Background Smokers increasingly use e-cigarettes for many reasons, including attempts to quit combustible cigarettes and to use nicotine where smoking is prohibited. We aimed to assess the association between e-cigarette use and cigarette smoking cessation among adult cigarette smokers, irrespective of their motivation for using e-cigarettes. Methods PubMed and Web of Science were searched between April 27, 2015, and June 17, 2015. Data extracted included study location, design, population, definition and prevalence of e-cigarette use, comparison group (if applicable), cigarette consumption, level of nicotine dependence, other confounders, definition of quitting smoking, and odds of quitting smoking. The primary endpoint was cigarette smoking cessation. Odds of smoking cessation among smokers using e-cigarettes compared with smokers not using e-cigarettes were assessed using a random effects meta-analysis. A modification of the ACROBAT-NRSI tool and the Cochrane Risk of Bias Tool were used to assess bias. This meta-analysis is registered with PROSPERO (number CRD42015020382). Findings 38 studies (of 577 studies identified) were included in the systematic review; all 20 studies with control groups (15 cohort studies, three cross-sectional studies, and two clinical trials) were included in random effects meta-analysis and sensitivity analyses. Odds of quitting cigarettes were 28% lower in those who used e-cigarettes compared with those who did not use e-cigarettes (odds ratio [OR] 0·72, 95% CI 0·57–0·91). Association of e-cigarette use with quitting did not significantly differ among studies of all smokers using e-cigarettes (irrespective of interest in quitting cigarettes) compared with studies of only smokers interested in cigarette cessation (OR 0·63, 95% CI 0·45–0·86 vs 0·86, 0·60–1·23; p=0·94). Other study characteristics (design, population, comparison group, control variables, time of exposure assessment, biochemical verification of abstinence, and definition of e-cigarette use) were also not associated with the overall effect size (p≥0·77 in all cases). Interpretation As currently being used, e-cigarettes are associated with significantly less quitting among smokers.

show abstract

Section: Resultsmentioning

confidence: 99%

E-cigarettes and smoking cessation in real-world and clinical settings: a systematic review and meta-analysis

Kalkhoran

Glantz

2016

The Lancet Respiratory Medicine

802

564

View full text Add to dashboard Cite

show abstract

“…Approximately 7% of respondents reported being current dual users of cigarettes and e-cigarettes in this sample. Other studies have also reported that current (last 30 day) and lifetime e-cigarette use now surpasses current and lifetime cigarette use (Johnston et al, 2016; Kenne et al, 2016; Ramo et al, 2015; Sutfin et al, 2015). Current college cigarette smokers are more likely to be current e-cigarette users than non-smokers and individuals who start using e-cigarettes, have a higher susceptibility and greater likelihood of becoming a cigarette smoker (Barrington-Trimis et al, 2016; Primack, Soneji, Stoolmiller, Fine, & Sargent, 2015; Sutfin et al, 2015).…”

Section: Discussionmentioning

confidence: 95%

Assessing the Association Between E-Cigarette Use and Exposure to Social Media in College Students: A Cross-Sectional Study

Sawdey

Hancock

Messner

et al. 2017

Substance Use & Misuse

View full text Add to dashboard Cite

Background: Social media platforms provide an indirect medium for encouraging e-cigarette use between individuals and also serve as a direct marketing tool from e-cigarette brands to potential users. E-cigarette users share information via social media that often contains product details or health-related claims. Objective: Determine whether e-cigarette use is associated with exposure to e-cigarettes on social media in college students. Methods: Data from a sample of 258 college students was obtained via a clicker-response questionnaire (90% response rate). Demographic, lifetime and current e-cigarette/cigarette use, and e-cigarette exposure via social media (peer posts or advertisements) were examined. Logistic regression was used to assess the relationship between lifetime and current e-cigarette use and viewing peer posts or advertisements on social media while adjusting for cigarette use and self-posting about e-cigarettes. Results: Overall, 46% of participants reported lifetime e-cigarette use, 16% current e-cigarette use, and 7% were current dual users of e-cigarettes and cigarettes. There were positive and significant associations between lifetime e-cigarette use and viewing peer posts (aOR=3.11; 95% CI =1.25–7.76) as well as advertisements (aOR=3.01; 95% CI =1.19–7.65) on e-cigarettes via social media after adjusting for cigarette use. Current e-cigarette use was only significantly associated with viewing peer posts via social media (aOR=7.58; 95% CI =1.66–34.6) after adjusting for cigarette use. Conclusions/Importance: Almost half of college students view peer posts and advertisements on e-cigarettes via social media. This exposure is associated with individual e-cigarette use. Continued efforts to examine online e-cigarette content are needed to help future interventions decrease e-cigarette use.

show abstract

“…While device power is clearly important to understanding ECIG effects, many studies of ECIG users have not reported data regarding the power of the devices that those ECIG users use regularly (e.g., Vansickel and Eissenberg, 2013; Spindle et al, 2017; Spindle et al, 2017; Christensen et al, 2014; Brown et al, 2014; Hitchman et al, 2015; Sutfin et al, 2015). Of those that did, sample size was small (e.g., Wagener et al, 2017; N=20) or more than 50% of respondents did not know the power (wattage) of their device (Harvanko et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Assessing electronic cigarette effects and regulatory impact: Challenges with user self-reported device power

Rudy

Leventhal

Goldenson

et al. 2017

Drug and Alcohol Dependence

View full text Add to dashboard Cite

Background Electronic cigarettes (ECIGs) aerosolize liquids for user inhalation that usually contain nicotine. ECIG nicotine emission is determined in part by user behavior, liquid nicotine concentration and electrical power. Whether users are able to report accurately nicotine concentration and device electrical power has not been evaluated. This study’s purpose was to examine if ECIG users could provide data relevant to understanding ECIG nicotine emission, particularly liquid nicotine concentration (mg/ml) as well as battery voltage (V) and heater resistance (ohms, Ω) – needed to calculate power (watts, W). Methods Adult ECIG users (N=165) were recruited from Los Angeles, CA for research studies examining the effects of ECIG use. We asked all participants who visited the laboratory to report liquid nicotine concentration, V, and Ω. Results Liquid nicotine concentration was reported by 89.7% (mean=9.5 mg/ml, SD=7.3), and responses were consistent with the distribution of liquids available in commonly marketed products. The majority could not report voltage (51.5%) or resistance (63.6%). Of the 40 participants (24.8%) who reported voltage and resistance, there was a substantial power range (2.2–32,670 W) the upper limit of which exceeds that of the highest ECIG reported by any user to our knowledge (i.e., 2,512 W). If 2,512 W is taken as the upper limit, only 30 (18.2%) reported valid results (mean 237.3 W, SD=370.6; range=2.2–1705.3 W). Conclusions Laboratory, survey, and other researchers interested in understanding ECIG effects to inform users and policymakers may need to use methods other than user self-report to obtain information regarding device power.

show abstract

The Impact of Trying Electronic Cigarettes on Cigarette Smoking by College Students: A Prospective Analysis

Abstract: Trying e-cigarettes during college did not deter cigarette smoking and may have contributed to continued smoking.

Cited by 90 publications

References 40 publications

E-cigarettes and smoking cessation in real-world and clinical settings: a systematic review and meta-analysis

E-cigarettes and smoking cessation in real-world and clinical settings: a systematic review and meta-analysis

Assessing the Association Between E-Cigarette Use and Exposure to Social Media in College Students: A Cross-Sectional Study

Assessing electronic cigarette effects and regulatory impact: Challenges with user self-reported device power

Contact Info

Product

Resources

About