University is a time of transition for many aspects of life in young adults, including health smoking behaviors  . It has been suggested that this is therefore, a population that may be receptive to health promotion initiatives, including smok- ing cessation   . The background to this study was a proposal to introduce a tobacco free campus in a university in the Republic of Ireland. It was considered important to explore smoking and quitting behaviors and the attitudinal factors associated with these behaviors so as to better inform decision making on establishing a tobacco free campus.
A prior online survey of staff and student attitudes towards implementation of a tobacco free campus showed that the majority of the university community was in favor of the campus becoming tobacco-free (50% of undergraduates, 58% of postgraduates and 66% of staff) [https://www.tcd.ie/collegehealth/assets/documents/TFT%20April%202013%20Survey.pdf].
Smoking in young adults varies widely (8% - 34%) and the proportion of university students that smoke tend to be less than in their peers   . The proportion of daily smokers ranges from 2% - 16% and occasional (non-daily) smokers from 6% - 12%      . A number of studies have examined the association between the student profile and social and cultural predisposing factors to smoking. Student smoking has been associated with many factors, including older age   and non-health courses of study    . While craving is probably the strongest precipitator of smoking  , situational variables are also important. Research has also found a significant association between smoking at home and current smoking status  . Studies that have com- pared predisposing factors to smoking in daily and occasional smokers have found that as occasional smokers more often define their smoking as social smoking  , situational and contextual variables have been found to be stronger precipitators of smoking in occasional rather than daily smokers  . Contextual precipitators of smoking in occasional smokers include: location―where smoking is permitted such as outside  ; presence of others smoking   ; alcohol   ; and stress  .
Attitudes and beliefs about smoking risk differ according to smoking status  . Non-smokers are more likely to report exposure to smoking than smokers  , have stronger beliefs with regard to second-hand smoke  and have higher perceived health-related risks from smoking  . Interestingly, occasional smokers, while they acknowledge smoking relates to health risks, minimize them as being personally relevant  . Knowledge and risk perception are important awareness factors that can influence motivation and therefore, mediate intention status with regard to smoking and quitting  .
Overall approximately 50% of student smokers reported attempting to quit at some time or in the previous year    and, in general, occasional smokers were more likely to attempt to quit than daily smokers   . The number of smokers intending to quit in the future varied from 9% - 70%, depending on the type of smoker and the time frame of the question being asked e.g. quit in next year, next month   . Berg et al., also found that occasional smokers had higher quit intentions than regular smokers and were more confident and motivated to quit; however, they were less likely to use behavioral interventions or pharmacotherapy   . Female students, older students and those who had decreased the amount they smoked since attending university were more likely to want to quit and also more likely to plan to quit before graduation  . The university course attended did not have a significant association with students’ intentions to stop smoking in the future  . Smoking fewer cigarettes a day, being a social smoker, having fewer friends who smoke and less frequent binge drinking were common additional factors associated with readiness to quit  . Intention to quit smoking was also related to the respondents’ fear of the health-related effects of smoking, boredom factors, lack of self-confidence and cost   .
Previous experience with smoking bans has shown greater success in reducing second-hand smoking and its health effects than in reducing smoking itself    . Smoking bans have been linked to lower smoking prevalence and number of cigarettes smoked; however, this has not necessarily always translated into higher quit rates     . Campus smoking bans are much more prevalent in America than in Europe and student attitudes to them are positive, particularly in the non-smokers    .
The aim of this study was to assess prevalence of student smoking and quitting behaviors, and to identify the demographic, contextual and attitudinal factors associated with these behaviors as part of a move towards establishing a tobacco free university campus.
The study was a one site cross-sectional, descriptive study.
2.1. Data Collection Tool
A previously developed questionnaire meeting the aims of this study was not identified from review of the literature, therefore the study team developed a questionnaire utilizing, where possible, definitions and questions used in other studies. A pilot questionnaire was circulated for content validity for review by academic colleagues. The reviewers were asked to rate the questions for clarity and relevance on a four-part Likert scale, from very clear to not clear and from very relevant to not relevant. Seven questions were classified as “only somewhat clear” or “not clear” and seven were classified as “only somewhat relevant” or “not relevant”. The research team then altered or deleted questions as appropriate based on these ratings and additional comments made by the reviewers. The final anonymous questionnaire included socio-demographic characteristics, exposure to second- hand smoke and accommodation smoking rules, participants’ beliefs about smoking and risk perceptions. Participants were asked to define their smoking status as non-smoker, daily smoker or non-daily/occasional smoker. Smokers were asked type of cigarettes usually smoked, number of cigarettes smoked and their smoking patterns on campus. Questions relating to quitting behaviors asked “During the past 12 months have you stopped smoking for 24 hours or longer because you were trying to quit smoking”, supports used for quitting, and intention to quit in the next 30 days and next 6 months. The final question explored smokers’ views on perceived benefits of giving up smoking.
2.2. Sample and Recruitment
Based on a population of approximately 7300 undergraduate students it was estimated that a sample of 290 was required to determine smoking prevalence  . Convenience sampling was the method used to achieve this target. First year and third year students in three schools within the university were selected (School of Nursing and Midwifery, School of Biochemistry and Immunology, and School of Psychology), this approximated to 1000 students. The inclusion criteria for the study were: students aged 18 years or older; students from the above three schools and students attending class on the day of the survey. Ethics approval was received from the Royal College of Physicians of Ireland Research Ethics Committee.
2.3. Data Collection
Access to the students was arranged through the relevant School coordinators. Data collection occurred in the classroom. Module lecturers facilitated access to students during 15 minutes of class time; questionnaires were distributed and collected by members of the research team or administration personnel. To encourage participation, all students who submitted a questionnaire were invited to submit a detachable separate slip with email address for entry into a draw for a tablet computer. Questionnaires were administered to six classes; over a two-week period in October 2013.
2.4. Data Analysis
Data were analyzed using SPSS version 22. Descriptive statistics were used to describe the population. Bivariate analyses were conducted using Chi squared tests or Fisher’s exact test as appropriate to examine associations between non-smokers and smokers and occasional and daily smokers’ profiles, perceptions, beliefs and behaviors. Significant variables in bivariate analyses were then examined using two logistic regression models (backward, stepwise): Model 1 comparing smokers and non-smokers, Model 2 comparing daily and occasional smokers. Significance level for entry into the model was 0.1. The significance level for variable retention in the models and for bivariate analyses was set at 0.05.
The estimated population was 1000; as there were 750 respondents this represents an estimated response rate of 75%. However, class attendance was not recorded; as a consequence, the exact response rate to the survey could not be calculated. Eleven respondents did not complete the question on smoking habits and were excluded from the analysis. Of the remaining 739 respondents, the majority were biochemistry students (55%), first year students (70%), and aged less than 22 (84%). Most were non-smokers (81%). Smoking was significantly more common among nursing and psychology students, in those aged 22 years or more, and in those living in their own home (Table 1).
There were significant differences in the behaviors and in the beliefs held by smokers and non-smokers. In bivariate analysis, non-smokers were more likely to report never being exposed to second-hand smoke indoors (81% vs. 57%) but less likely to report never being affected by smoking outside buildings on campus (40% vs. 56%). Non-smokers were more likely to say that smoking was not allowed anywhere inside their accommodation (88% vs. 67%). Smokers were significantly less likely than non-smokers to agree that people risk harming themselves by smoking only at weekends or on a few days per week (67% vs. 80%), to consider those who smoke at parties and weekends to be regular smokers (21% vs. 48%) or to agree that tobacco is addictive (54% vs. 74%). Compared to non-smokers, smokers were more likely to report that they regarded the university’s supports for quitting as being just right (26% versus 18%). However, over 60% of both groups said they were unsure if the supports were too little or just right (Table 2).
Model 1 examined the factors and beliefs which best predicted the odds of being a smoker or non-smoker. The final model, which contained four variables (age, accommodation rules, perception of smoking being addictive, perception
Table 1. Demographic comparison of smokers and non-smokers and bivariate analysis.
*p < 0.05.
Table 2. Bivariate comparison of beliefs, attitudes and behaviors of smokers and non- smokers.
*p < 0.05.
of party/weekend smokers as smokers) (N = 592), was significant (χ2 = 97.76, df = 5, p < 0.01) and correctly classified 81.8% of cases. Compared to non-smokers, smokers were significantly less likely to be under 22 years (OR = 0.24, p < 0.01), more likely to allow smoking inside their accommodation (p < 0.01), less likely to agree that tobacco is addictive (OR = 0.42, p < 0.01) and much less likely to consider those who smoke at parties and weekends to be regular smokers (OR = 0.22, p < 0.01) (Table 3). 15% - 24% of the variability between all smokers versus non-smokers was explained by this set of variables.
Twelve percent of respondents (88) defined themselves as occasional smokers and 7% (54) as daily smokers, representing a total of 19% (142) of the total population. Bivariate analysis indicated that there were significantly higher proportions of daily smokers than occasional smokers studying nursing or psychology than biochemistry, among students aged 22 years or more and those living in their own home (Table 4). There also were significant differences in the beliefs, perceptions and behaviors of occasional and daily smokers. On bivariate analysis, occasional smokers were more likely to agree that people risk harming themselves from smoking 1 - 5 cigarettes a day (p = 0.01), whereas a greater proportion of daily smokers considered that people who smoke only at weekends or parties to be regular smokers (p = 0.03). Occasional smokers were significantly less likely than daily smokers to report having smoked in the past 30 days: between classes (p < 0.01), at meals (p < 0.01) and while drinking alcohol (p < 0.01) (Table 5).
Forty-four percent of all smokers (56/126) reported making a quit attempt (purposefully stopped smoking for 24 hours or longer) in the 12 months prior to the study (42% of occasional and 48% of daily smokers). A total of 53% (62/116) of smokers said they intended to quit in the next six months (52% occasional, 56% daily) and 35% (41/116) said they intended to quit in the next 30 days (43% of occasional and 26% of daily smokers). The quitting behavior and intentions of daily and occasional smokers were not significantly different. Just under 60% of smokers reported using any help during their last quit attempt (84/142), but only a few (<2%) reported using nicotine replacement therapy, varenicline or bupropion, or quit apps. Daily smokers were more likely than occasional smokers (70% vs. 18%) to report more difficulty in handling stress in their lives if they gave up smoking (p < 0.01) (Table 5). Just over 60% of both daily and occasional smokers smoked manufactured cigarettes; just under 40% smoked hand rolled cigarettes and less than 1% smoked cigars. Daily smokers (n = 54) reported smoking an average of 10 ± 5 cigarettes per day (range 1 - 25) while two-thirds (67%) of occasional smokers (n = 66) reported smoking ≥5 cigarettes per week.
Model 2, which examined the factors and beliefs which best predicted the odds of being an occasional or daily smoker was also significant (χ2 (N = 88), 36.3, df = 2, p < 0.01) (Table 6). Compared to occasional smokers, daily smokers were significantly less likely to be under 22 years (OR = 0.2, p < 0.01) and were nine times more likely to report that it would be harder to handle stress in their life if they gave up smoking (OR = 8.8, p < 0.01). Between 34% and 45% of the variability between daily and occasional smokers was explained by this set of variables (Table 6).
Table 3. Multivariate logistic regression of factors associated with odds of smoking versus non-smoking (Model 1).
*p < 0.05.
Table 4. Demographic comparison of occasional and daily smokers and bivariate analysis.
*p < 0.5.
Table 5. Bivariate comparison of beliefs, attitudes and behaviours of occasional and daily smokers.
#Fisher’s exact test; *p < 0.05.
This study provides a comprehensive analysis of student smoking and quitting behaviors, their attitudes and perceptions of smoking, comparing not only smokers and non-smokers, but also comparing daily with occasional smokers. The The proportion of students in this study who were smokers was 19%, 12% were occasional smokers. A substantial proportion of both occasional (42%) and daily
Table 6. Multivariate logistic regression of factors associated with odds of occasional versus daily smoking (Model 2).
*p < 0.05.
smokers (48%) had attempted unsuccessfully to quit in the last year and a high percentage of both occasional (36%) and daily (48%) smokers reported their most recent quit attempt being made without assistance. Increasing age was the single most important factor predicting smoking. Within the relatively narrow age range of this sample, daily smokers were more likely to be older than occasional smokers and of the opinion that giving up smoking would make it harder to handle stress in their lives.
The prevalence of smoking (19%), is at the lower end of the range previously reported in university students and is in keeping with studies on young populations as a whole in Ireland (8% - 44%)  -       . Although this is a sizable minority, it indicates that it is no longer the norm to smoke. Interestingly a large percentage of both non-smokers (60%) and smokers (44%) reported being affected by second-hand smoke outside the campus buildings. These factors may contribute to the de-normalization of smoking as a behavior on campus. However, care must be taken to support rather than alienate the smoking cohort with the introduction of campus smoking bans. Our findings support those of previous studies of university students: those who were younger were more likely to be non-smokers   . However, in contrast to previous studies, multivariate analysis showed that smoking was not significantly related to school    , or year of study  . These trends were also seen within smokers, where older age was the only profile variable associated with daily smoking in multivariate analysis. As in previous studies, the majority of student smokers considered themselves as occasional smokers    , smoking 5 or fewer cigarettes per week, which can be categorized as very light smoking   . Occasional smokers are often considered as those who are starting smoking or those who are attempting to quit  . Therefore, this is an ideal group to promote quitting, as they may be more receptive to health promotion and smoking cessation interventions   .
In line with previous student studies a high proportion of smokers in this study (58% occasional, 52% daily) had attempted to quit smoking in the previous year    . In addition, a large proportion intended to quit in the next 6 months (52% occasional, 56% daily) or next 30 days (43% occasional, 26% daily). In contrast to other studies of young smokers, this cohort of university students did not show significant differences in intention to quit across the smoking categories   . These figures identify a large gap between intention to quit and successful quitting. This indicates the need for a better understanding of motivations to quit and the need for the provision of appropriate quit supports to assist students in moving successfully from intention/contemplation to action.
This study identified several misconceptions and behaviors that could be addressed to help narrow this gap. As in previous research, the negative effects of smoking were recognized by all students. However, this alone was not enough to stimulate successful quitting  . In some aspects, smokers’ risk perceptions were lower than those of non-smokers. Compared to non-smokers, fewer smokers perceived those who only smoke at weekend/parties to be regular smokers and that people get addicted to using tobacco like they get addicted to using heroin or cocaine   . Occasional smoking as well as daily smoking has been shown to have significant negative impacts on health; this message needs to be communicated more strongly to occasional smokers  . As in previous research, a sizable proportion of students in this study did not use support in their quitting attempts  . The aforementioned misconception by almost half of smokers that smoking is not addictive may contribute to the underutilization of support mechanisms  . The high proportion of smokers classing themselves as occasional may indicate that these may be going through a transition phase-taking up smoking or quitting and therefore may be more open to smoking cessation interventions. This suggests that occasional smokers in particular should be addressed as a specific target group for smoking cessation; different treatment approaches may be needed and nicotine replacement may not be appropriate nor necessary for this group    .
The less than optimal utilization of supports may in part be due to the high proportion of smokers who were unsure if the university had enough supports for students to quit smoking or the nature of those supports. This suggests that better advertising is required to highlight campus cessation supports available. Students’ fears concerning difficulties in handling stress if they quit smoking indicates the need for supplementary interventions to help students cope with stress. It also indicates that the timing of smoking cessation media strategies not to coincide with exam periods may make them more likely to succeed.
Student exposure to second-hand smoke at home and in public places varies widely depending on country  . In this study, exposure to smoke indoors was low; reflecting home smoking rules and national policy, but high proportions of both smokers and non-smokers reported being affected by smoking outside campus buildings. Second-hand smoke as a key health promotion message has resulted in increased quitting in some non-daily smokers  .
Continued sustained media campaigns have been shown to be effective in increasing quitting rates in occasional and daily smokers in the 20 - 30 age groups  . University cessation programs can offer the motivation to students to quit  by utilizing interventions such as quitting with a friend (buddy systems), confining referrals to a single center or by bringing education and cessation interventions to the student  . From our study, addressing misconceptions about health and harm of smoking may provide additional motivation to quit in the student population particularly among daily smokers. Smoking bans, including smoke-free campuses, have been linked to decreased prevalence of smoking and have been seen to provide limited impetus for quitting smoking      . To inform the development of an effective tobacco free campus policy, policy developers should be cognizant of the demographic characteristics and the smoking status of the population  . This paper has identified some of the known antecedents of smoking behavior which can be more beneficially incorporated into an integrated model of change and the supports needed to facilitate this change  . This needs to be addressed if we are to stop the transition to smoking that occurs in this age group: non-daily smokers have a higher risk of becoming continuous smokers than non-smokers with up to a third of non-daily smokers at age 21 becoming daily smokers by 26  . Our findings will inform the development of content of smoking-related messages for on-site posters, information screens and social media and increase awareness of university cessation supports, which will aid the implementation of the smoke-free campus initiative.
A strength of the study was the high response rate. Collecting data separately from the lecturer may have facilitated participants in being honest in their replies. There were however a number of limitations. Content validation was not carried out in the target population. Class attendance was not recorded; as a consequence, the response rate to the survey could only be estimated. The responses of those who did not attend the class may potentially differ from attendees. Not all variables known to affect smoking in this cohort were recorded. Gender was not recorded in the nursing group. Smoking rate was self-reported, hence prevalence of smoking may be under-reported but the use of anonymous questionnaires will have mitigated this.
Nineteen percent of students smoked. Increasing age was the best predictor of regular and occasional smoking. Smokers differed from non-smokers in their perception of smoking-related health risks. Intention to quit smoking and quitting attempts were high among daily and occasional smokers. Current use of on- site cessation supports was less than the optimal. These combined factors indicate a need for greater targeting of our prevention strategies e.g. as part of the induction process for new students, and the need to promote greater awareness of the cessation supports available for students. It is expected that these targeted measures will result in greater usage of smoking cessation services, translating into higher quit rates and reversing the transition from occasional to regular smoking. Our findings will thus aid the implementation of a smoke-free campus.