Assessing 30-day quantity-frequency of U.S. adolescent cigarette smoking as a predictor of adult smoking 14 years later.

BACKGROUND: To improve measures of monthly tobacco cigarette smoking among non-daily smokers, predictive of future non-daily monthly and daily smoking. METHODS: Data from United States National Longitudinal Study of Adolescent to Adult Health, tracking adolescents, ages 12-21, over 14 years were analyzed. At baseline, 6501 adolescents were assessed; 5114 individuals provided data at waves 1 and 4. Baseline past 30-day non-daily smokers were classified using quantity-frequency measures: cigarettes smoked/day by number of days smoked in the past 30 days. RESULTS: Three categories of past 30-day non-daily smokers emerged using cigarettes/month (low:1-5, moderate: 6-60, high: 61+) and predicted past 30-day smoking at follow-up (low: 44.5%, moderate: 60.0%, high: 77.0%, versus 74.2% daily smokers; rτ=-0.2319, p<0.001). Two categories of non-smokers plus low, moderate and high categories of non-daily smokers made up a five-category non-daily smoking index (NDSI). High NDSI (61+ cigs/mo.) and daily smokers were equally likely to be smoking 14 years later (High NDSI OR=0.97, 95% CI=0.53-1.80 [daily as reference]). Low (1-5 cigs/mo.) and moderate (6-60 cigs/mo.) NDSI were distinctly different from high NDSI, but similar to one another (OR=0.21, 95% CI=0.15-0.29 and OR=0.22, 95% CI=0.14-0.34, respectively) when estimating future monthly smoking. Among those smoking at both waves, wave 1 non-daily smokers, overall, were less likely than wave 1 daily smokers to be smoking daily 14 years later. CONCLUSIONS: Non-daily smokers smoking over three packs/month were as likely as daily smokers to be smoking 14-years later. Lower levels of non-daily smoking (at ages 12-21) predicted lower likelihood of future monthly smoking. In terms of surveillance and cessation interventions, high NDSI smokers might be treated similar to daily smokers.

Enjoyment and other reasons for electronic cigarette use: Results from college students in New York.

BACKGROUND: Young people are more likely to have experimented with e-cigarettes (e-cigs) compared with older adults. Few studies identify reasons for experimentation/use of e-cigs among young people; we sought to discover what drives college students to use e-cigs. METHODS: Undergraduate students (ages 18-23) at four universities in New York State were surveyed. Among e-cig ever users (n=429), reasons for use were examined. A multinomial logistic regression model analyzed the relative risk of reasons for using e-cigs among discontinued, current non-daily and current daily e-cig users. RESULTS: Using e-cigs for enjoyment was associated with current non-daily (RR=2.11, 95% CI=1.18-3.75) and current daily use (RR=19.1, 95% CI=3.71-98.54). Non-daily use was related to use because e-cigs are less toxic than cigarettes (RR=2.80, 95% CI=1.75-4.50). More daily users reported use to quit smoking compared with either non-daily or discontinued users (53.3% vs. 12.2% and 13.3%, respectively; p<0.05). Among current users, 72.3% used for enjoyment, compared with 42.9% of discontinued users (p<0.05). DISCUSSION: In contrast to adults, who often report e-cig use to quit smoking, young people are less likely to use for this reason. The exception was daily e-cig users, who often reported use for quitting/reduction of smoking. Rather, college students report usage reasons related to affect (e.g. enjoyment). Overall, enjoyment was reported more often than was use for quitting smoking; affective reasons likely play a role in the popularity of e-cigs and should be considered in future assessments of e-cig users.

Risky behaviors, e-cigarette use and susceptibility of use among college students.

BACKGROUND: Since 2007, there has been a rise in the use of electronic cigarettes (e-cigarettes). The present study uses cross-sectional data (2013) to examine prevalence, correlates and susceptibility to e-cigarettes among young adults. METHODS: Data were collected using an Internet survey from a convenience sample of 1437, 18-23 year olds attending four colleges/universities in Upstate New York. Results were summarized using descriptive statistics; logistic regression models were analyzed to identify correlates of e-cigarette use and susceptibility to using e-cigarettes. RESULTS: Nearly all respondents (95.5%) reported awareness of e-cigarettes; 29.9% were ever users and 14.9% were current users. Younger students, males, non-Hispanic Whites, respondents reporting average/below average school ability, ever smokers and experimenters of tobacco cigarettes, and those with lower perceptions of harm regarding e-cigarettes demonstrated higher odds of ever use or current use. Risky behaviors (i.e., tobacco, marijuana or alcohol use) were associated with using e-cigarettes. Among never e-cigarette users, individuals involved in risky behaviors or, with lower harm perceptions for e-cigarettes, were more susceptible to future e-cigarette use. CONCLUSIONS: More e-cigarette users report use of another nicotine product besides e-cigarettes as the first nicotine product used; this should be considered when examining whether e-cigarette use is related to cigarette susceptibility. Involvement in risky behaviors is related to e-cigarette use and susceptibility to e-cigarette use. Among college students, e-cigarette use is more likely to occur in those who have also used other tobacco products, marijuana, and/or alcohol.