The effect of a smoke-free campus policy on college students' smoking behaviors and attitudes

A three wave assessment of a tobacco free campus policy within a minority serving institution

OBJECTIVE

This study assessed changes (in relation to smoking status) in tobacco use, attitudes toward TFC policies, and tobacco use risk knowledge by applying a three Wave repeated cross-sectional assessment.

PARTICIPANTS

Participants were students at Wave 1 (n = 2,169), Wave 2 (n = 2,576), and Wave 3 (n = 2,169) and faculty at Wave 1 (n = 256), Wave 2 (n = 204), and Wave 3 (n = 180).

METHODS

Measures regarding sociodemographics, tobacco use, attitudes toward TFC policies, and tobacco use risk knowledge were completed.

RESULTS

Compared with Wave 1, more students reported having quit smoking within the last six months at Waves 2 and 3. The negative attitudes toward TFC policies of those who reported quitting in the last six months aligned with those of nonsmokers.

CONCLUSIONS

Study findings suggest smoking status as a relevant covariate to focus on to further strengthen and refine existing TFC policies.

Intention to quit electronic cigarette smoking among university students who are e-cigarette users

OBJECTIVE

To identify factors that are significantly associated with the intention to quit electronic cigarette smoking (ECS) at multiple, ecological levels among university students.

PARTICIPANTS

365 students who were e-cigarette users from Seoul metropolitan areas, South Korea.

METHODS

A cross-sectional study through an online survey.

RESULTS

Of participants, 62.7% had the intention to quit ECS-17.2% within one month, 14.0% within six months, and 31.5% when the time is right. Factors significantly associated with the intention to quit ECS were identified: "device type," "a shorter duration of ECS," and "having started ECS for quitting traditional cigarette smoking" at the intrapersonal-level; "negative attitudes of either peers or family members toward ECS" at the interpersonal-level; and "exposure to community smoking cessation educations" at the community-level.

CONCLUSIONS

Approximately one-thirds of university e-cigarette users had no intention to quit ECS. The factors identified should be integrated into university level, behavioral smoking cessation strategies.

Tobacco-free university campus policies: A systematic review

Objective: This systematic review aims to provide an update of the scientific evidence regarding tobacco-free/smoke-free campus policies (TFC/SFC), using a complex interventions approach.

PARTICIPANTS/METHODS

We searched the PubMed, Scopus and Web of Science databases using a combination of 'tobacco-free' or 'smoke-free', 'campus', 'university or college' and 'policy' search terms on all indexed articles published up until June 2023. Studies were included if they presented research on pre-/post-implementation of TFC/SFC or policy components. Two coders extracted and synthesized the data and assessed the risk of bias.

RESULTS

A total of 113 studies were included, reporting data from 2005 to 2023 across 17 countries. The data was categorized into three of the four phases of the Medical Research Council (MRC) framework, i.e. "feasibility (n=24), "implementation" (n=34), and "evaluation" (n=69). This review finds that a policy draft, communication, enforcement strategies, and cessation services are critical policy components. TCF/SFC are effective for reducing tobacco use and secondhand smoke exposure, but they also increase vaping. Little research has investigated the effect of TFC/SFC on smokeless tobacco use.

CONCLUSION

This review addresses remaining uncertainties in evidence on the TFC/SFC implementation process. We go on to provide a series of recommendations for university administrators.

Association Between Secondhand Smoke Exposure Among Women and the Implementation of Tobacco Control Measures on Campus: A Cross-Sectional Study in 50 Universities Across China

INTRODUCTION

Exposure to secondhand smoke (SHS) among women is prevalent in China which increases their risk of developing a wide range of diseases and can affect their susceptibility to adverse reproductive health effects. This study aims to examine the association between SHS exposure among women and the adoption and implementation of tobacco control measures on campus in China.

AIMS AND METHODS

7469 female college students who have never smoked were recruited from 50 universities across China using a multistage sampling technique. All participants reported their exposure to SHS and the tobacco advertising and promotion on campus. Participants from colleges with smoke-free policies reported the implementation of smoke-free policies on campus measured by: (1) no evidence of smoking and (2) the display of smoke-free signs in public places. Multivariate logistic regression models were applied using weighted survey data.

RESULTS

SHS exposure among participants was 50.5% (95% CI = 44.2% to 56.9%). The adoption of a smoke-free policy was not associated with SHS exposure (OR: 1.01, 95% CI = .71, 1.42), however, the implementation of the policy was significantly negatively associated with SHS exposure (OR: 0.56, 95% CI = .47 to 0.67). In addition, tobacco advertising and promotion on campus were significantly positively associated with SHS exposure (OR: 2.33, 95% CI = 1.42, 3.82; OR: 1.52; 95% CI = 1.15, 2.02, respectively).

CONCLUSIONS

Exposure to SHS is prevalent among female college students in China. Successful implementation of a smoke-free policy and banning tobacco advertising and promotion on campus could be effective measures to protect young women from the harms of SHS in China.

IMPLICATIONS

Approximately half of female college students are exposed to SHS on campus in China. Failure to implement smoke-free policies and exposure to tobacco marketing on campus are associated with higher SHS exposure. To protect millions of young Chinese women from the health harms of SHS, universities need to enact and enforce smoke-free policies within campus boundaries and adopt comprehensive bans on tobacco advertising and promotion on campus.

Predictors of quitting smoking behavior: evidence from Pakistan

This study attempts to identify factors that significantly encourage the cessation of smoking in the context of Pakistan. The study distributes a modified questionnaire among 421 respondents (current as well as former smokers) in the capital city of Pakistan, Islamabad. The binary regression method was employed to data for analyzing predictors of making quit attempts and successful smoking cessation. The result indicates that respondents having strong intentions to quit, high socioeconomic status, low nicotine dependency, and past quit attempts, and those having no-smoking friends, are more likely to quit cigarette smoking successfully. On the other hand, factors like social pressure to quit smoking, religious information against smoking, intention to quit smoking, and public regulation on smoking are more likely to encourage smokers to make quit attempts. The study calls for community and school-wide smoking cessation campaigns involving officials, peers and parents, religious leaders, and other influential individuals to inform people about the dangers of smoking. In addition, religious leaders should be encouraged to issue rulings against smoking especially during "Friday Prayer." Furthermore, the government should pronounce more strict and comprehensive regulations on smoking by properly monitoring its implementation to encourage cessation of cigarette smoking.

What are the effects of smoke-free and tobacco-free university campus policies, and how can they be assessed? A systematic review

OBJECTIVE

This article looks at the evaluation of smoke-free (SF) and tobacco-free (TF) university campus policies that ban smoking (and often vaping) both indoors and outdoors. To assess the effectiveness of these policies, we performed a systematic literature review to answer the following questions: what is the effect of SF/TF policies on campus users' behaviors/norms/perceptions around smoking? Are the SF/TF policies an effective measure for reducing smoking among young adults? What methods and indicators can we use to assess the impact of SF/TF campus policies? What is the theoretical model underpinning the influence of SF/TF policies on the behavior of campus users?

METHODS

Three databases (PubMed, Scopus, and Web of Science) were searched over the period from January 2005 to December 2022. The article selection process included 54 articles published in scientific journals that analyzed the post-implementation impact of SF/TF campus policies. The quality of these articles was analyzed using six ad hoc indicators based on the Critical Appraisal Skills Program checklist and Joanna Briggs Institute scoping tools.

RESULTS

Most of the research on SF/TF campus policies has been conducted in the United States using quantitative methodologies. Most of these studies show that SF/TF policies reduce positive beliefs about smoking and its acceptability, influence smoking behavior (reducing smoking initiation and increasing the number of quits and quit attempts), and reduce exposure to passive smoking and pollution from cigarette butts. User acceptability of SF/TF policies is generally high. Limitations of SF/TF campus policies include difficulty for smokers to comply with them, persistence of passive smoking around campuses, and limited uptake of on-campus cessation support services provided to smokers.

DISCUSSION

The various mediating and moderating variables identified in the literature have made it possible to propose a model of the potential influence of SF/TF policy on campus users, based on the theory of planned behavior. Based on this review, we provide health professionals and higher education institutions wishing to implement a SF/TF campus policy with a set of indicators that can serve to assess the impact of a SF/TF campus policy (attitudes, acceptability, beliefs, norms, exposure to passive smoking and pollution, changes in smoking behavior).

CONCLUSION

Based on scientific evidence, the implementation of SF/TF campus policies in France is an important measure to help combat smoking in young adults.

University students' and staff attitudes toward the implementation of a "tobacco-free" policy: A view from Qatar

Objectives

Tobacco-free campus policies are needed to create environments conducive to prevention or quitting in the Eastern Mediterranean Region (EMR), where the use of various tobacco products is on the rise among university students. The objectives of this study were to assess overall support for a 100% tobacco-free campus policy and its predictors among different stakeholder groups at the largest national university in Qatar and to understand attitudes towards specific policy components.

Study design

A cross-sectional online survey of faculty and students.

Methods

We measured sociodemographic variables, tobacco use, and support for components of a 100% tobacco-free campus policy. A total score for support was calculated, and associations with selected predictors were assessed using multivariable linear regression.

Results

413 respondents participated in the survey. A majority of faculty/staff and students (76.6% and 75.5%, respectively) supported the implementation of a 100% tobacco-free campus policy, with a majority supporting extension of the policy beyond cigarettes. Support for other components of the policy varied. Among students, overall support was lower among males and tobacco users and higher among the married. Among faculty and staff, support was lower among Qatari nationals and tobacco users.

Conclusion

In the context of a growing tobacco crisis in the EMR, implementing and understanding the impact of tobacco-free campus policies is essential. This paper underscores the importance of addressing diverse stakeholder attitudes and providing empirical evidence to guide policy implementation and evaluation.

Tobacco use behaviors on college campuses in Texas: What, where, and who

Purpose: Examine tobacco use on college campuses by assessing: (1) types of tobacco products used, (2) where they are most commonly used, and (3) the sociodemographic characteristics of students most likely to use on campus. Method: Participants were a convenience sample of 3,575 18- to 25-year-old enrolled in 14 Texas colleges during Spring 2021 who used at least one tobacco product in the past 30-days. Results: Over 60% of participants used tobacco on their campus, and among these, nearly 93% used electronic nicotine delivery systems (ENDS) on campus. Common campus locations for tobacco use included outdoors (85.0%), dormitories (53.9%), and bathrooms (44.5%). Older young adults, males, those from a college with a partial tobacco policy, and current ENDS users were more likely than their peers to have ever used tobacco on campus. Conclusion: Tobacco use on college campuses is common, underscoring the need for enhanced monitoring and enforcement of tobacco-free policies.

Use of a Living Lab Approach to Implement a Smoke-Free Campus Policy

While universities have increasingly become tobacco-/smoke-free, to our knowledge, no campus has reported 100% policy compliance. Innovative approaches to encourage compliance and ongoing data collection are needed. This paper describes actions undertaken, framed within a Living Lab (LL) approach, to implement smoke-free campus policies in an Irish university. The action research comprised student-collected data on observed smoking on campus to evaluate adherence and compliance, first to a smoke-free zones policy (June 2016-March 2018), and then to a smoke-free campus policy (March 2019-February 2020). From June 2016-February 2020, 2909 smokers were observed. Adherence, defined as the average reduction in number of observed smokers from baseline in May 2016, reduced by 79% from 5.7 to 4.9 . Compliance, defined as the proportion of smokers who complied when reminded of the policy, was 90% (2610/2909). Additional activities included development of a broader health promotion programme; identification of a pattern of 'social smoking'; and promoting increased awareness of the environmental harms of tobacco. Ongoing policy implementation is essential for smoke-free policies and should include data collection and evaluation. Actions framed within the characteristics of a LL achieved fewer observed smokers. A LL approach is recommended to encourage policy adherence and compliance.

The State of Norm-Based Antismoking Research: Conceptual Frameworks, Research Designs, and Implications for Interventions

This synthesis review examined 189 qualified studies on norms and smoking in terms of conceptual frameworks, types of social norms, research designs, dependent variables, independent variables and covariates, and findings related to norms. Results show that 7.9% were experimental, and the remaining were cross-sectional. By far, the reasoned action approach (RAA) was the most-cited theory, but RAA was not used to guide experimental designs. The social norms approach, norm focus theory, social cognitive theory guided the intervention experiments. Harmful norms were more frequently examined than healthful norms. Pro-smoking norms positively predicted smoking intentions and behaviors, whereas antismoking norms positively predicted antismoking intentions and behaviors. The over-application of RAA in cross-sectional antismoking research has yielded repetitive findings. Norm-based experiments can adopt other theoretical perspectives to offer insights into antismoking interventions. The RAA constructs are still applicable and can be integrated into intervention designs.

Stealth vaping and associated attitudes, perceptions, and control beliefs among US college students across four tobacco-free campuses

OBJECTIVES

Stealth vaping gained popularity among college students in recent years. It may undermine the benefits introduced by tobacco-free policies. Yet, no studies have investigated attitude and belief factors associated with stealth vaping. The objective of the study was to explore the relationship between attitudes toward on-campus tobacco regulations, normative perceptions of stealth vaping behaviors, and control beliefs with on-campus stealth vaping among U.S. college students.

METHODS

Participants from four large, public universities with policies prohibiting use of all forms of tobacco (including e-cigarettes) on campus (N = 863) completed an online survey in Fall 2020. On-campus stealth vaping behavior was captured by past 30-day stealth vaping status and frequency. Hurdle models with logistic and negative binomial regressions were conducted, where stealth vaping status was treated as a binary variable based on the non-zero and zero frequency, and stealth vaping frequency was treated as a count variable. Multiple imputation by chained equations was employed to handle the missing data.

RESULTS

Participants with more positive attitudes toward regulating on-campus tobacco use were less likely to practice stealth vaping on campus (OR = 1.16, p < 0.01 [predicting zero]). Those with higher perceptions of stealth vaping among other students were more likely to stealth vape more frequently (IRR = 1.03, p < 0.01).

CONCLUSION

Our results highlight the need for interventions to address students' attitudes and normative beliefs about stealth vaping. Efforts are needed to educate college students about the risk of e-cigarettes and to enhance enforcement of campus tobacco-free policies.

Living arrangements and health-related lifestyle among Taiwanese college students

ObjectiveThis study differentiated various living arrangements (ie living with two biological parents, living with one biological parent, living with friends, living in a dorm, and other) and examined its relationship with health-related lifestyles as well as the moderating role of gender differences. Methods: This study used data from the Taiwan Youth Project, a large-scale, longitudinal survey of Taiwanese youths. The data of 2313 sophomore college students who provided full information were analyzed. Regressions were used to examine the association between living arrangements and cigarette smoking, alcohol use, drug use, and physical exercise. Results: Compared to students living with two parents, students living with one parent reported a higher frequency of current cigarette smoking and alcohol use, and students living with friends/alone reported a higher frequency of current alcohol use. The associations between living arrangements and health-related lifestyle, including cigarette smoking, alcohol use, and exercise, varied by gender among college students. Conclusions: Both living in a dorm and living with two biological parents increase healthy lifestyles among Taiwanese college students.

Student tobacco use, secondhand smoke exposure, and policy beliefs before and after implementation of a tobacco-free campus policy: Analysis of five U.S. college and university campuses

The adoption of comprehensive tobacco policies by colleges and universities may help reduce student tobacco use. To this end, The American Cancer Society's Tobacco-Free Generation Campus Initiative (TFGCI) awarded grants to 106 higher learning institutions to adopt 100% tobacco-free campus policies. This study measured changes in student tobacco use, reported exposure to secondhand smoke, and support for types of tobacco policies among five TFGCI grantee institutions who implemented 100% tobacco-free policies. Students at five U.S. TFGCI grantee institutions completed two independent cross-sectional online surveys regarding tobacco use, exposure to secondhand smoke, and policy attitudes, once before (n = 2499) and once after (n = 1667) their campuses adopted a tobacco-free policy. Students were less likely to report current cigarette smoking (aOR: 0.73, 95% C.I.: 0.63, 0.85) and exposure to secondhand smoke on campus (aOR: 0.42, 95% C.I.: 0.23, 0.76) following the policy change. In contrast, students were more likely to report past 30-day use of electronic nicotine delivery systems (ENDS) (aOR: 2.16, C.I.: 1.77, 2.63) following the policy change, despite the policy's inclusion of all tobacco and nicotine products. Tobacco-free campus policies can be associated with decreases in tobacco product use and environmental smoke exposure. The extent of their effectiveness may vary by product and the inclusion of tailored messaging, cessation support, and enforcement approaches. To discourage use of these products among students, colleges and universities should adopt 100% tobacco-free policies, monitor product use trends, offer cessation support and messaging customized for specific groups and products, and utilize a comprehensive enforcement strategy.

Assessing Smoking Habits, Attitudes, Knowledge, and Needs among University Students at the University of Milan, Italy

BACKGROUND

College campuses and universities are valuable settings for smoking prevention programs targeting young adults.

AIM

To investigate smoking habits, electronic cigarette (e-cig) and heated tobacco product (HTP) use, exposure to passive smoke, compliance with smoking bans on campus, attitudes toward the anti-smoking policies, and educational needs among students at the University of Milan, Italy.

METHODS

A validated questionnaire was web-submitted to 64,801 students in the period May-July 2021. For each item, the frequency was calculated and χ² test with Bonferroni correction was used to compare differences among the 10 faculties of the University.

RESULTS

7162 students participated in the survey, while 6605 questionnaires were included in this report (62% female, 84% aged 18-25 years). Sixty-four percent of participants were never smokers, 19% were smokers, 2.8% were e-cig or HTP users, 3.7% were dual smokers, 10% were former smokers, and 66% reported routinely spending free time with smokers. Almost all students were aware of the dangers of active and passive smoking of cigarettes, while about 20% did not have an opinion on the dangers of e-cigs/HTPs. Only 49% were aware of the smoking ban in the outdoor areas of the university. Students from the faculties of Law and Political, Economic, and Social Sciences smoked more frequently and were more frequently exposed to passive smoke than other students. Medicine students were the most aware of the dangers of passive smoking and using e-cigs/HTPs.

CONCLUSIONS

This is the first study in Italy involving the entire student population of a university and highlighting differences among faculties in terms of active and passive smoking and opinions. The results suggest that prevention campaigns addressed to students should consider their specific study curricula and give information tailored to the different educational needs to efficiently support health promotion.

Aerosol, vapor, or chemicals? College student perceptions of harm from electronic cigarettes and support for a tobacco-free campus policy

Objective: This study is the first to examine the influence of e-cigarette emission phrasing on perceived harm of secondhand exposure, and whether harm perception was associated with support for a tobacco-free campus policy. Participants: In the fall 2018 and spring 2019 semesters, 52 sections of a college English course (N = 791 students) were cluster randomized to one of three conditions ("vapor," "aerosol," or "chemicals") assessing harm of secondhand exposure to e-cigarette emissions. Methods: Regression models adjusted for demographic characteristics, tobacco use, and other potential confounders. Results: Compared to the "vapor" condition, "chemicals" and "aerosol" conditions were associated with increased odds of perceiving secondhand exposure to e-cigarettes to be harmful/very harmful (AOR = 2.0, p < 0.01). Greater perceived harm of secondhand e-cigarette exposure was associated with increased odds of supporting a tobacco-free campus policy (AOR = 2.22, p < 0.001). Conclusions: Health campaigns should use accurate terminology to describe e-cigarette emissions, rather than jargon that conveys lower risk.

School and Community Factors Associated With the Adoption of 100% Smoke-free Policy by California Community Colleges, 2003-2019

PURPOSE

Smoke- and tobacco-free policy (SFP) is an effective strategy that can reduce tobacco-related health disparities among young adults.

DESIGN

Longitudinal design using administrative, survey, policy data sources, and geocoded tobacco outlet and American Community Survey data.

SETTING

California community colleges (CC) and cities/communities where colleges are located, 2003-2019.

SAMPLE

114 California CCs.

DATA

School-level (i.e., student population and demographics) and community-level data (socio-demographics, local tobacco control policy, tobacco-related norms and availability, and health resources) from 2003 to 2019.

MEASURES

Key outcome is the year CC adopted a 100% SFP.

ANALYSIS

Bivariate and multivariate Cox survival models were used to analyze timing of SFP adoption.

RESULTS

By 2019, 61 out of 114 (53.5%) CCs were 100% SFP. While community smoking prevalence and tobacco availability were not significant, CCs in rural areas were less likely to be smoke-free. CCs located in cities with stronger tobacco policies (hazard ratio (HR) = 1.08, P < .05), which reported higher student health fees (HR = 2.00, P < .05) and received technical assistance for SFP (HR = 4.59, P < .01) were significantly associated with having 100% SFP.

CONCLUSION

Findings suggest that key community factors (strong city tobacco policies) and school and community resources (student health fees, SFP technical assistance) are associated with the presence of 100% SFP at CCs. Resources from the community or within a college might support remaining CCs in becoming 100% smoke-free.

Changes in smoking prevalence and perception of smoking on campus before and after a smoke-free university campus policy

ObjectiveTo examine whether policies prohibiting smoking on college campuses contribute to greater decreases in smoking. Participants: This study compares smoking prevalence and perceptions of prevalence pre/post a smoking ban enacted in 2015 by using repeated cross-sectional surveys administered at a university in 2011 (n = 1.548), 2013 (n = 3.657), 2015 (n = 3.456), 2016 (n = 2.575), and 2018 (n = 4.600). Methods: Regression models evaluated trends in prevalence with a spline term to evaluate differences after the smoking ban. Results: Before the ban, the prevalence of any past 30-day smoking decreased each survey period (AOR = 0.89, 95%CI: 0.85, 0.97); after the ban, a significantly greater decrease was observed (AOR = 0.78, 95%CI: 0.74, 0.83). Similar patterns were observed specifically for cigarette use as well as students' perceptions of the proportion of the student body who use tobacco and nicotine products. Stratified analysis identified that pre/post declines were largest in the youngest age category. Conclusions: Results support the effectiveness of campus-based antismoking policies.

Undergraduate support for university smoke-free and vape-free campus policies and student engagement: a quasi-experimental intervention

BackgroundCollege campuses have policies restricting smoking/vaping on campus. Previous studies involving mostly European-American students showed smoking prevalence declines following implementation of such policies.ObjectiveTo evaluate a social media campaign promotive of stronger campus support for an existing campus no-smoking/no-vaping policy where most (∼75%) of the undergraduates were non-European-American. A demographically comparable university served as a no-intervention control.ParticipantsTarget was 200 random intercept surveys at each university during fall 2016, spring 2017. Of 800 respondents, 681 were undergraduates.MethodsBaseline and post-intervention surveys assessed awareness of and support for campus-wide smoke-free/vape-free policies. Staged smoke-free/vape-free policy violations assessed students' propensity to intervene in support of the policy.ResultsRespondent support for the no-smoking/no-vaping policy did not change.ConclusionsThe social media campaign and Policy Ambassadors program did not increase support for the campus no-smoking/no-vaping policy. Most (∼90%) respondents agreed that the campus no-smoking/no-vaping policy was important for public health.

Non-compliance with university tobacco-free policies: A qualitative exploration

INTRODUCTION

Though university smoke-free and tobacco-free campus policies have been proliferating across the US, compliance and enforcement remain challenges. This study examined perceptions and behaviors of employees and students who used tobacco products on tobacco-free campuses, to better understand policy non-compliance.

METHODS

Students (n=56) and employees (n=20) from two tobacco-free 4-year public universities in Southern California who self-reported using tobacco products on campus participated in focus groups, stratified by university and student or employee (faculty and staff) status, to discuss attitudes toward campus tobacco policies and on-campus smoking. Focus group discussions were transcribed and analyzed after structured coding and subcoding.

RESULTS

Participants were generally aware that smoking and vaping were not allowed on campus, though few could correctly identify their campus as tobacco-free. Attitudes toward the policy varied by subgroup and by campus, with students and employees at different universities expressing varying levels of support. Non-compliance was a unique interaction of individual, institutional, and interpersonal factors including a desire to smoke or vape to reduce stress, lack of formal enforcement or penalty for violating the policy, and efforts to smoke or vape in ways that reduce harm to others as a way of rationalizing non-compliance.

CONCLUSIONS

Attitudes toward university tobacco-free policies are campus- and constituency-specific, with similarities in individual, institutional, and interpersonal factors underlying non-compliance. Interventions to increase compliance should address individual, institutional, and interpersonal influences on non-compliance through efforts tailored to specific campus constituencies based on their particular knowledge and attitudes towards tobacco-free policies.

Comparison and determination of factors associated with smoking status, smoking knowledge, attitude and practice (S-KAP) between smoke-free and non-smoke-free campuses in public universities in Malaysia: a cross-sectional study

OBJECTIVES

We compared the smoking prevalence, smoking knowledge, attitudes and practices (S-KAP) between smoke-free campuses (SFCs) and non-SFCs (NSFCs) and determined the associated factors of smoking status and S-KAP.

DESIGN

Cross-sectional study.

SETTINGS

The research was conducted in four public universities in Malaysia; two SFCs and two NSFCs.

PARTICIPANTS

Students and staff from SFCs (n=1063) and NSFCs (n=1040).

MAIN OUTCOME MEASURES

Compared the smoking prevalence, S-KAP between SFCs and NSFCs and determined the associated factors.

RESULTS

The prevalence of smokers among the SFC and NSFC respondents was 5.2% and 6.7%, respectively. University type and smoking attitude were significantly related (p=0.02). At the SFCs, the factors associated with becoming a smoker were male gender (p<0.001), monthly income ≥RM3000 (p=0.02), positive smoking attitude (p=0.003) and positive smoking practice (p<0.001); at NSFCs, the associated factors were male gender (p<0.001), low smoking knowledge (p=0.004), positive smoking attitude (p=0.001) and practice (p<0.001). The factors associated with good smoking knowledge were female gender (SFCs: p=0.001; NSFCs: p=0.004), and monthly income ≥RM3000 (NSFCs: p=0.02). Male respondents were likely to have positive smoking attitudes (SFCs: p<0.001; NSFCs: p<0.001) and negative smoking practices (SFCs: p<0.001; NSFCs: p<0.001).

CONCLUSION

Overall, smoking prevalence, knowledge and practice were not much different between SFCs and NSFCs. However, there was a significant relationship between university type and smoking attitude due to the existence of the SFC policy likely rendering smoking a less acceptable social norm. Continual education programmes on smoking harms and smoking cessation strategies are highly recommended to aid the SFC policy in preventing secondhand smoke in universities.

Measuring public opinion and acceptability of prevention policies: an integrative review and narrative synthesis of methods

Acceptability of and public support for prevention are an important part of facilitating policy implementation. This review aims to identify, summarize and synthesize the methods and study designs used to measure and understand public opinion, community attitudes and acceptability of strategies to prevent chronic noncommunicable disease (NCDs) in order to allow for examination of imbalances in methodological approaches and gaps in content areas. We searched four scientific databases (CINAHL, Embase, Ovid/MEDLINE and Scopus) for peer-reviewed, English-language studies published between January 2011 and March 2020 in high-income, democratic countries across North America, Europe and the Asia–Pacific region. Studies were included if they focused on opinions, attitudes and acceptability of primary prevention strategies and interventions addressing the key NCD risk factors of alcohol use, unhealthy diet, overweight/obesity, tobacco use and smoking, and physical inactivity. A total of 293 studies were included. Two thirds of studies (n = 194, 66%) used quantitative methods such as cross-sectional studies involving surveys of representative (n = 129, 44%) or convenience (n = 42, 14%) samples. A smaller number of studies used qualitative methods (n = 60, 20%) such as focus groups (n = 21, 7%) and interviews (n = 21, 7%). Thirty-nine studies (13%) used mixed methods such as content analysis of news media (n = 17, 6%). Tobacco control remains the dominant topic of public opinion literature about prevention (n = 124, 42%). Few studies looked solely at physical inactivity (n = 17, 6%). The results of this review suggest that public opinion and acceptability of prevention in the peer-reviewed literature is investigated primarily through cross-sectional surveys. Qualitative and mixed methods may provide more nuanced insights which can be used to facilitate policy implementation of more upstream strategies and policies to prevent NCDs.

Outdoor smoking as a nuisance to non-smokers: The case for smoke-free outdoor public spaces in dense urban areas

INTRODUCTION

Despite the growing number of smoke-free spaces, many non-smokers continue to be involuntarily exposed to secondhand smoke outdoors and on public streets. Both theory and research suggest that people living in densely populated urban areas are more likely to smoke than those living in less densely populated areas. Consequently, non-smokers in densely populated urban areas might be more likely to be exposed and feel annoyed by secondhand smoke outdoors. We investigated whether the extent to which non-smokers feel annoyed by secondhand smoke exposure in outdoor public spaces is related to urban population density.

METHODS

We used cross-sectional survey data from the Netherlands 'Module Substance Use' survey (2020 data, n=9375). This is a nationally representative sample of the adult population in the Netherlands. Using logistic regression models, we investigated whether urban population density predicts both smoking and non-smokers' annoyance to secondhand smoke exposure outdoors.

RESULTS

We found that smoking rates were associated with urban population density. In the Netherlands, people living in extremely population-dense urban areas were more likely to smoke than those living in non-urban areas (AOR=1.59; 95% CI: 1.25-2.02, p<0.001). Feeling annoyed by secondhand smoke outdoors was also associated with urban population density: non-smokers living in extremely population-dense urban areas were more likely to be annoyed than respondents living in non-urban areas (AOR=1.65; 95% CI: 1.34-2.02, p<0.001).

CONCLUSIONS

These cross-sectional data highlight the importance of comprehensive local tobacco control policy programs that include creating smoke-free outdoor public spaces. This need for such smoke-free outdoor public spaces might be particularly strong in densely populated areas.

Stealth Vaping Among College Students on Four Geographically Distinct Tobacco-Free College Campuses: Prevalence and Practices

INTRODUCTION

To offset tobacco use among college students, many universities have implemented tobacco-free campus policies. Given how easily e-cigarette users can discreetly vape in places where it is prohibited without being detected (ie, stealth vape), it is important to assess whether students are subverting these policies. This study examined the prevalence of stealth vaping on-campus among students at multiple universities, including frequency and methods for stealth vaping.

AIMS AND METHODS

A convenience sample of college students was obtained from four geographically distinct, large, public universities with established policies prohibiting all forms of tobacco use on campus. Participants (N = 863 current e-cigarette users) reported on demographics and e-cigarette use. Those who previously stealth vaped on-campus (n = 422) completed additional questions, including common locations, techniques, and devices/e-liquids used for stealth vaping.

RESULTS

Nearly half (48.9%) of past 30-day e-cigarette users reported previously stealth vaping on-campus. Among stealth vapers, 48.1% owned a smaller device for stealth vaping and 38.9% used e-liquids with low visibility vapors. Common on-campus stealth vaping locations included bathrooms, libraries, parking garages, and classrooms. Techniques used for stealth vaping included deep inhale, blowing a hit into one's clothes, and swallowing a hit.

CONCLUSIONS

A large percentage of respondents commonly violated campus tobacco-free policies by stealth vaping. For such policies to be effective at reducing on-campus e-cigarette use, there is a need for enhanced monitoring and enforcement. More research is needed to better understand factors influencing stealth vaping behaviors and public health implications.

IMPLICATIONS

This sample of college student e-cigarette users commonly violated campus smoke- and tobacco-free policies by stealth vaping on campus. Respondents used a range of methods (eg, smaller device and low visibility e-liquids) and locations (eg, bathrooms, libraries, and parking garages) for stealth vaping. If campus policies are to be effective at reducing on-campus e-cigarette use, there is a need for enhanced monitoring and enforcement. E-cigarette devices specifically designed and marketed to facilitate stealth vaping (eg, resembling USB flash drives and pens) may require regulatory action. More research is needed to better understand factors influencing stealth vaping behaviors and public health implications.

How effective are campus-wide smoking bans? A comparison of two small colleges

Objective The current study tracked attitudinal and behavioral changes related to a campus-wide smoking ban. Participants: Students from 2 colleges in Massachusetts (N = 418; April 2014; N = 640 April 2018). Methods: Surveys tracked students' smoking habits, beliefs about smoking, and attitudes before and four years after the implementation of a campus-wide smoking ban. Results: While student smoking rates and secondhand exposure did drop following the campus-wide ban, they did not drop at a significantly higher rate than the control. However, attitudes toward smoking, perceived smoking, and attitudes toward a campus-wide smoking ban did improve at rates significantly above any improvements shown at the control campus. Conclusions: Campus-wide smoking bans may lower the frequency of smoking on small college campuses, but not necessarily more than other smoking cessation efforts. They do appear to uniquely influence general attitudes and the visibility of smoking on campus.

Evaluation of a smoke- and tobacco-free campus policy: The issue of displacement

Objective This study evaluates the effectiveness of a smoke- and tobacco-free campus policy by examining the volume, density, and location of discarded cigarette butts before and after the implementation of the policy. Participants: Student, staff, and faculty volunteers collected and recorded the location of discarded cigarette butts in April 2017 and October 2018. Methods: The Smoke and Tobacco Free Environment policy was effective September 1, 2017. A campus-wide collection of cigarette butts was conducted 5 months before, and 13 months after it came into effect. Results: The number of cigarette butts on campus decreased after policy implementation, especially in areas with formal enforcement. There was evidence of displacement of smoking behavior from the campus center to its periphery where parking lots and staff buildings are located. Conclusions: Formal enforcement is key to increasing the efficacy of the policy. Interventions should be directed to the locations where smoking behavior is concentrated.

Influence of a University Tobacco-Free Policy on the Attitudes, Perceptions of Compliance, and Policy Benefit Among the University Students: A Pre-Post Investigation

Objective: To evaluate the effectiveness of a university tobacco-free policy by examining differences in students' attitudes, perceptions of compliance and policy benefits, after one year of the policy's implementation. Methods: Cross-sectional studies were undertaken to collect data pre- and 1 year post-policy implementation. The two samples were selected using stratified random sampling. Results: The prevalence of smoking decreased from 26% pre-policy implementation to 21% 1 year after (p = 0.035). The proportion of smokers who thought the policy had contributed to a reduction in smoking frequency increased from 10% to 70% (p < 0.001). Smokers' support for the policy rose from 42 to 58% (p = 0.007). Conclusion: Against the background of a strongly pro-tobacco environment in Lebanon, it is possible to create a positive change in the mindset of smokers at the levels of the education and smoking cessation and more efforts should be expended to bring it about.

A Call for a Rational Polypharmacy Policy: International Insights From Psychiatrists

OBJECTIVE

Recently, rational polypharmacy approaches have been proposed, regardless of the lower risk and cost of monotherapy. Considering monotherapy as first-line treatment and polypharmacy as rational treatment, a balanced attitude toward polypharmacy is recommended. However, the high prevalence of polypharmacy led the Japanese government to establish a polypharmacy reduction policy. Based on this, the association between the policy and psychiatrists' attitude toward polypharmacy has been under debate.

METHODS

We developed an original questionnaire about Psychiatrists' attitudes toward polypharmacy (PAP). We compared the PAP scores with the treatment decision-making in clinical case vignettes. Multiple regression analyses were performed to quantify associations of explanatory variables including policy factors and PAP scores. The anonymous questionnaires were administered to psychiatrists worldwide.

RESULTS

The study included 347 psychiatrists from 34 countries. Decision-making toward polypharmacy was associated with high PAP scores. Multiple regression analysis revealed that low PAP scores were associated with the policy factor (β=-0.20, p=0.004). The culture in Korea was associated with high PAP scores (β=0.34, p<0.001), whereas the culture in India and Nepal were associated with low scores (β=-0.15, p=0.01, and β=-0.17, p=0.006, respectively).

CONCLUSION

Policy on polypharmacy may influence psychiatrists' decision-making. Thus, policies considering rational polypharmacy should be established.

Effects of a campus-wide tobacco-free policy on tobacco attitudes, norms and behaviors among students, staff and faculty

Objective: In 2016 a private Missouri university implemented a campus-wide tobacco-free policy to change social norms and prevent tobacco use among students, staff and faculty. This study assesses impact on tobacco and policy-related perceptions and behaviors. Methods: Before the policy went into effect and again one year later, all university students, staff and faculty were invited to participate in an online survey. Missouri Assessment of College Health Behaviors survey findings supplement results for students. Results: Policy support and norms disapproving tobacco use on campus increased, and self-reported use of any tobacco decreased after the ban was enacted. Conclusions: Our results suggest that the policy led to an increase in the proportion of university community members who agree that smoking on campus is unacceptable, which contributed in turn to a decline in tobacco use on campus, consistent with our theory of effects.

The Development of a Web-Based Tobacco Tracker Tool to Crowdsource Campus Environmental Reports for Smoke and Tobacco-Free College Policies: Mixed Methods Study

BACKGROUND

College campuses in the United States have begun implementing smoke and tobacco-free policies to discourage the use of tobacco. Smoke and tobacco-free policies, however, are contingent upon effective policy enforcement.

OBJECTIVE

This study aimed to develop an empirically derived web-based tracking tool (Tracker) for crowdsourcing campus environmental reports of tobacco use and waste to support smoke and tobacco-free college policies.

METHODS

An exploratory sequential mixed methods approach was utilized to inform the development and evaluation of Tracker. In October 2018, three focus groups across 2 California universities were conducted and themes were analyzed, guiding Tracker development. After 1 year of implementation, users were asked in April 2020 to complete a survey about their experience.

RESULTS

In the focus groups, two major themes emerged: barriers and facilitators to tool utilization. Further Tracker development was guided by focus group input to address these barriers (eg, information, policing, and logistical concerns) and facilitators (eg, environmental motivators and positive reinforcement). Amongst 1163 Tracker reports, those who completed the user survey (n=316) reported that the top motivations for using the tool had been having a cleaner environment (212/316, 79%) and health concerns (185/316, 69%).

CONCLUSIONS

Environmental concerns, a motivator that emerged in focus groups, shaped Tracker's development and was cited by the majority of users surveyed as a top motivator for utilization.

University Staff and Students' Attitudes towards a Completely Smoke-Free Campus: Shifting Social Norms and Organisational Culture for Health Promotion

A large university in Queensland, Australia with a diverse staff and student community introduced a campus wide smoke-free policy in 2016. The purpose of this enquiry was to understand attitudes about a new smoke-free policy, its potential impact and the shift in social norms and organizational culture to inform the next phase of implementation. An electronic survey was distributed to all staff and students approximately 12 weeks after the smoke-free policy was implemented. The survey consisted of multiple-choice questions about demographics, smoking behaviour, attitudes towards smoking and tobacco control, awareness of the smoke-free policy, and attitudes towards the effect of a completely smoke-free campus on quality of life, learning and enrolment. The survey was completed by 641 university staff and students. Respondents reported seeking out (80.4%) and socialising in smoke-free environments (86.6%) and supported smoke-free buildings (96.1%), indoor areas (91.6%), and outdoor areas (79%). The results revealed overwhelming support for a completely smoke-free campus (83%) and minority support for designated smoking areas (31%). Overall, respondents reflected positively towards a campus wide smoke-free policy. These findings suggest Queensland’s early adoption of tobacco control laws influenced the social environment, de-normalised smoking, changed behaviour, preference for smoke-free environments and shifted social norms. These findings provide convincing evidence for organisational change and suggest health promotion policy makers should progress the implementation of smoke-free policies nationally across the higher education sector.

Cigarette, waterpipe, and electronic cigarette use among college fraternity and sorority members and athletes in the United States

To examine the association between fraternity/sorority membership and athlete status with tobacco use by tobacco product type. Participants: Undergraduate college students who participated in the Spring 2017 National College Health Assessment-II Survey (n = 47,821). Methods: Prevalence of current (past-30 day) cigarette smoking, waterpipe tobacco smoking (WTS), and e-cigarette (ECIG) use was examined. Logistic regressions examined associations between fraternity/sorority membership and participation in collegiate athletics with tobacco use. Results: Fraternity/sorority members had the highest current use rates for cigarettes, waterpipe tobacco, and ECIGs and were nearly twice as likely to report cigarette smoking, WTS, and ECIG use relative to non-fraternity/sorority members. Relative to non-varsity athletes, varsity athletes were less likely to report cigarette smoking and WTS, but not ECIG use. Conclusions: Fraternity/sorority members appear to be at risk for use of multiple tobacco products. Varsity athlete status may be protective for some tobacco products, but does not appear no for ECIG use. ECIGs may appeal to groups typically at low risk for other tobacco products.

Prevalence and predictors of smoking, quit attempts and total smoking ban at the University of Turku, Finland

OBJECTIVES

The current study employed socio-demographic, health and lifestyle, and academic variables to assess the prevalence and independent predictors of daily smoking, attempts to quit smoking, and agreement with total smoking ban at university.

METHODS

Students at the University of Turku (1,177) completed an online questionnaire that assessed socio-demographic, health and lifestyle, and academic characteristics, and three smoking variables (smoking, attempts to quit, agreement with total smoking ban at university). Bivariate relationships and multiple logistic regression assessed relationships between student characteristics and the three smoking variables before and after controlling for all other variables.

RESULTS

Slightly < 80% of students never smoked, 16% were occasional, and about 6% were daily smokers, and about 40% had attempted to quit. Nearly half the sample agreed to total smoking ban at university. Physical activity, consuming alcohol, illicit drug/s use and daily smoking were significant independent predictors across > 1 of the three smoking variables. Age, health awareness, importance of achieving good grades, academic performance compared to peers, study burden, and mother's educational level were significant independent predictors of one of the three variables examined.

CONCLUSION

Universities need to assess smoking, with specific focus on the modifiable independent predictors that were associated with > 1 the variables examined, to encourage physical activity and pay attention to reduce alcohol consumption and illicit drug/s and daily smoking, whilst targeting at-risk students. University strategies should be part of the wider country-wide effective tobacco control policies.

Changes in student behaviors and policy opinion regarding E-cigarettes at a Kentucky University from 2014 to 2018

The behaviors and opinions regarding e-cigarette use and campus policies prohibiting vaping vary greatly among college students nationally. Kentucky is one of the four U.S. states with the highest tobacco use prevalence, and characterizing e-cigarette use, trends and policy opinions among Kentucky undergraduates may inform interventions. To characterize population-level differences in e-cigarette-related behaviors and policy opinions among undergraduates from 2014 to 2018, results from two cross-sectional surveys (2014 and 2018) from a public regional university in south-central Kentucky were analyzed. Students from randomly selected undergraduate general studies courses completed a 5-minute in-class survey. Data were obtained from 514 and 519 respondents in 2014 and 2018, respectively. Mean age did not differ (19.9 and 20.1 years; p = 0.41) nor did class rank (p = 0.30) by survey year. Chi-square analysis indicated previous 30-day e-cigarette use was higher in 2018 than 2014 (28% vs. 18%; p < 0.001), and current cigarette use was lower in 2018 than 2014 (13% vs. 25%; p < 0.001). When current smoking and recent e-cigarette use were combined as a use variable, there was no significant difference between 2018 (29%) and 2014 (30%). Fraternity/sorority affiliation, being under 22 years old, male gender, out-of-state residency, and having a smoking parent were associated with recent e-cigarette use in multivariable logit models. Support for the on-campus vaping prohibition was lower among 2018 respondents (68% approval) compared to 2014 respondents (74% approval), respectively (p = 0.022). Overall, these findings may inform policy, population-specific health communications, and future research.

Testing effects of awareness of statewide smoke-free air law and risk perception on smoking behaviors

Purpose

To reduce the smoking rates and alleviate societal problems associated with smoking, health administrators and policy makers have attempted to promote and implement statewide smoking free policy. The present study examined how adults' awareness of and attitude toward the smoke-free air law, their perceived risks of secondhand smoke and current smoking status were associated with smoking attitude and behaviors.

Design/methodology/approach

As part of the Indiana Adult Tobacco Survey, 2,027 respondents participated in cross-sectional telephone surveys. A series of independent sample t-test and binary logistic regression analyses were performed.

Findings

Awareness of the state law was inversely related to negative attitude toward smoking behaviors. Individuals who reported favorable attitude toward the state smoke-free air law and higher risk perceptions of secondhand smoke showed negative attitude toward smoking behaviors. Non-smokers and former smokers were significantly different from current smokers with regard to attitude toward smoking. Negative attitude was significantly related to intention to quit smoking. Awareness of the state law, perceived risk and current smoking status were key determinants for anti-smoking attitude and behavior.

Originality/value

Findings highlight the importance of effective dissemination of the state law and recommend a strategic intervention design that invokes risk perceptions of secondhand smoke.

Five-year changes in support for tobacco control policy options among students, faculty and staff at a public university

Over 2500 U.S. colleges and universities have instituted smoke-free (prohibiting combustible tobacco) or tobacco-free (prohibiting all tobacco) campus policies, and support for such policies by students, faculty and staff is an essential ingredient for successful implementation. Cross-sectional studies have found that these policies are well supported, but longitudinal studies that track change in support over time are rare. The present study reports on two campus-wide web-based surveys conducted five years apart, 2013 and 2018, at a public university campus for which a smoke-free policy was in effect. The 2013 samples included 5691 students (26% response rate) and 2051 faculty and staff (43% response rate); the 2018 samples included 4883 students (21% response rate) and 1882 faculty/staff (37% response rate). Question wordings and procedures were largely consistent across the two surveys. Changes in support among students and faculty/staff for both a smoke-free and a tobacco-free campus were measured, including separate analyses for past-month tobacco users and non-users. Chi-square tests revealed that support for both policy options by all respondent groups (student tobacco users and non-users; faculty/staff tobacco users and non-users) increased significantly and substantially, with the exception of student non-users' support of a smoke-free campus, which was already high in 2013 (83.7% support) and remained relatively unchanged. Increases in support for the tobacco-free option were particularly large. Results are discussed in light of theories of social norm change. These findings provide evidence from one university that tobacco control policies, especially those making a campus fully tobacco-free, increase in popularity over time.

Does support for smoke-free outdoor spaces increase after implementation?: A case study of a Dutch research center's smoke-free campus transition

INTRODUCTION

Policymakers may sometimes be reluctant to develop policies for smoke-free outdoor spaces due to concerns about public reaction. In this study, we investigated the support for a smoke-free campus before and after the campus of a Dutch research institute became smoke-free.

METHODS

We conducted two surveys among employees to measure the level of support for a smoke-free campus. The first survey (n=129) was conducted 3 months before and the second 13 months after the implementation of a smoke-free campus policy (n=134).

RESULTS

More employees supported the smoke-free campus after (82.1%) than before (64.3%) implementation (OR=2.55; 95% CI: 1.39–4.70; p=0.003). In addition, more employees (75.4%) employees believed it is important to have a smoke-free campus than was the situation before (56.6%) the implementation (OR=2.28; 95% CI: 1.31–3.97; p=0.004).

CONCLUSIONS

This case study adds to the knowledge that support for a smoke-free campus increases after implementation of a smoke-free policy. This may encourage other organizations or local governments to create policies for smoke-free outdoor spaces.

Smart snacks in universities: possibilities for university vending

Background: The study goal was to evaluate the nutritional impact of a healthy snack intervention on a southern university campus.

Methods: This quasi-experimental study was conducted during the fall 2017 semester weekly for 14 weeks in a large southern U.S. university. For the intervention, half of vending snacks in four campus residential halls (housing from 216 to 361 students) were substituted with snacks complying with federal Smart Snacks in School nutrition standards for K-12 schools. For analysis, data from the Nutrition Facts labels of 14 vending machines or from manufacturer’s websites was collected by trained graduate and undergraduate researchers.

Results: On average, for each Smart Snack sold, there was a statistically significant reduction of 99.38 calories (CI=42.32, 156.43), 4 g saturated fat (CI = 2.23, 5.75), and 10.06 g of sugar(CI=2.92, 17.20). An average reduction of 41.88 mg in sodium and an increase of 0.81g in fiber was also found, but was not statistically significant. There was a significant difference (t(16)=3.02, P < 0.025, 95% CI = 10.77, 55.79) between the Quality Score of Smart Snacks (M=59.13,SD= ± 36.50) and that of non-compliant snacks (M=25.85, SD= ± 24.72).

Conclusion: The nutritional impact with even a 50% Smart Snack replacement is promising. Many available comparable snacks mimic the mouthfeel, taste, and appearance of their original full-fat, full-sodium, and full-sugar counterparts. Including healthier snack choices in vending machines may be a viable option for universities to transform the campus eating environment.

Campus Policy on Tobacco Prohibition and Tobacco Use among Youth in Sub-Saharan Africa: An Investigation Based on the Perspectives of School Personnel

Background

Schools in sub-Saharan Africa respond to the widespread use of tobacco among youth with the tobacco-prohibition policies. This study empirically examined the impact of the strength of campus tobacco-prohibition policies on tobacco use among youth across 20 sub-Saharancountries.

Methods

This study used data from the Global School Personnel Survey across 20 sub-Saharan countries during 2005–2011. Respondents comprised 7,365 school personnel (valid sample size) from Cameroon, Central African Republic, Congo, Eritrea, Ghana, Guinea-Bissau, Lesotho, Malawi, Mauritania, Mauritius, Namibia, Niger, Rwanda, Senegal, Seychelles, Sierra Leone, South Africa, Swaziland, Togo, and Uganda. Considering the potential endogeneity-estimation bias occurring in the normal ordinary least square estimation, instrumental variable estimation was used to ensure the regression results were reliable.

Results

The interaction term “tobacco-prohibition policy × policy-enforcement strength” was found to negatively predict perceived seriousness of tobacco use among youth (−0.0053, 95% CI [-0.0101, -0.0005]; p<0.05), which indicated that when campus tobacco-prohibition policy and enforcement were both sufficiently strict, the extent to which school personnel felt concerned or anxious about tobacco use among youth in the 20 countries was lowest. A series of identification tests using instrumental variable estimation demonstrated that these regression results were reliable and without endogeneity-estimation bias.

Conclusion

This study confirms the effectiveness of the interaction of tobacco-prohibition policy and policy-enforcement strength for alleviating the seriousness of tobacco use among youth in underdeveloped areas. A series of important policy implications are discussed to prevent fast development of tobacco use in this area.

Development and evaluation of smoke-free or tobacco-free policies in university settings: a systematic scoping review

We conducted a systematic scoping review to map the available evidence on smoke-free or tobacco-free (SF/TF) university policies globally. We specifically looked at (i) how policies were developed and communicated and (ii) what indicators were used to evaluate their impact. We searched for peer-reviewed literature, published up to January 2020, across 10 multi-disciplinary databases. We followed a duplicate, independent data selection, and charting process. We inductively categorized the studies according to the research design and objective of 'process' and 'impact evaluation'. We identified 75 unique studies across 23 countries conducted between 1993 and 2019. Most studies were conducted in the United States (46/75, 61.3%), were based on quantitative research design and focused on impact evaluations; a third (n = 28) reported both process and impact evaluations (37.3%). Community engagement and multi-channel communication strategies were mostly used to disseminate SF/TF policies. The impact was determined by a wide range of indicators for knowledge, attitudes and behaviors related to policies. There is a mature, relevant body of literature describing the development and evaluation of SF/TF policies in universities. Future reviews could quantify the impact of the bans and may consider process indicators as moderating factors to explain the potential heterogeneity of results.

Alcohol, nicotine, and caffeine consumption on a public U.S. university campus determined by wastewater-based epidemiology

Alcohol, nicotine, and caffeine use in at-risk populations is a public health concern that claims over 550,000 lives annually. Self-reported surveys from college students often reveal overconsumption of these substances. Unfortunately, the costs of these surveys are high, and consequently, the results from few studies are often extrapolated across the entire target population. Here we employed wastewater-based epidemiology (WBE) to directly measure the levels of these three psychotropic substances and their metabolites in sewage from a large public Southwestern U.S. university campus during the 2017-2018 academic year. Results showed per person alcohol consumption was 11.3 ± 7.5 g d^-1 person^-1 or 0.8 ± 0.5 drinks d^-1 person^-1, similar to averages of nationwide estimates from self-reporting of this subpopulation aged 18-25 years (10.1 ± 0.8 g d^-1 person^-1 or 0.7 ± 0.06 drinks d^-1 person^-1). Caffeine and nicotine consumption determined by WBE were significantly lower (p < 0.05) than nationwide estimates from self-reporting (caffeine: 114 ± 49 vs. 178 ± 19 mg d^-1 person^-1; nicotine: 627 ± 219 vs. 927 ± 243 μg d^-1 person^-1). Strong positive correlations were found for consumption of alcohol and nicotine (Spearman r_s: 0.71; p < 0.01), and nicotine and caffeine (0.59, p < 0.01), but not alcohol and caffeine (0.17). Alcohol and nicotine consumption were significantly higher on weekends compared to weekdays (p < 0.01), while caffeine consumption was higher during the week (p < 0.05). This first U.S. WBE study on alcohol, nicotine, and caffeine use among U.S. college students demonstrated the feasibility and practicality of longitudinally tracking the behavior of an entire campus population of 60,000 students directly, repeatedly, and more inexpensively (US$0.58/person) compared to conventional questionnaires (US$127/person).

Investigation of Longitudinal Data Analysis: Hierarchical Linear Model and Latent Growth Model Using a Longitudinal Nursing Home Dataset

The appropriate use of the data analysis method in a longitudinal design remains controversial in gerontological nursing research. The objective of the current study is to compare statistical approaches between a hierarchical-linear model (HLM) and a latent-growth model (LGM) in random effects, variance explained, growth trajectory, and model fitness. Secondary analysis of longitudinal data was used. Two variables were chosen to demonstrate the comparison between statistical methods. The HLM was superior in addressing unbalanced data in repeated-measures analysis of variance (ANOVA) and multivariate ANOVA because its nested data structure and random effects could be estimated. The LGM had advantages in modeling growth trajectories and model-fit comparisons. Superior to the HLM, the LGM reported more acceptable data fit, reporting a quadratic model, and successfully differentiated between and within components. The current research provides some evidence for applying appropriate statistical methods when addressing longitudinal datasets in gerontological nursing research. [Research in Gerontological Nursing, 12(6), 275-283.].

The role of executive functioning on the intention-behaviour relationship of health behaviours: a temporal self-regulatory perspective

OBJECTIVE

The current study employed the Temporal Self-Regulation theory (TST) to determine if self-regulatory capacity and prepotent behaviour moderate the relationship between intention and health behaviours (i.e., physical activity, and healthy eating) in college students.

DESIGN

220 students were surveyed across two time points to assess past/intended behaviour (Time 1) and follow-up behaviour (Time 2).

MAIN OUTCOME MEASURES

To address limitations in previous research, self-regulatory capacity was assessed using an ecologically valid rating scale (Barkley Deficits in Executive Functioning Scale). Multi-item assessment measures were utilised for physical activity (International Physical Activity Questionnaire) and healthy eating (All-Day Screener) behaviours.

RESULTS

A link between intention and follow-up behaviour was established and executive functioning (EF) and past behaviours were positively associated with follow-up behaviour. EF had no unique moderation effects on health behaviours, but combinations of Low, Moderate, and High levels of past behaviour and EF demonstrated moderation for physical activity and healthy eating.

CONCLUSION

This study demonstrated the utility of the TST in predicting health behaviour and emphasised the mutual necessity of EF and past behaviour in understanding the intention-behaviour relationship. Findings can be used to formulate studies and interventions that reduce barriers to health behaviours, therefore, lessening the need for high self-regulatory abilities.

Prevalence of and factors associated with violations of a campus smoke-free policy: a cross-sectional survey of undergraduate students on a university campus in the USA

OBJECTIVE

The aim of this study is to estimate the prevalence of smoking behaviour on campus and to identify the key factors that influence adherence to a campus smoke-free policy.

DESIGN & PARTICIPANTS

This study employed a cross-sectional, self-administered survey of undergraduate students at the University of Mississippi. A random sample of all available undergraduate classes was recruited for data collection. Students were provided a survey that included questions on demographics, alcohol use, smoking status, policy awareness, policy attitudes, smoking attitudes, policy support, barriers to policy success and policy violations.

RESULTS

The prevalence of past 30-day smoking was 23%. More than 63% of current smokers report ever smoking on campus, but less than 10% ever received a warning or a ticket for their violation. Nearly all respondents (92.5%) reported witnessing someone smoking on campus, and 22% reported witnessing someone receiving a ticket. Barriers to policy success include lack of reminders about the policy, lack of support from students and University administrators, and insufficient fines. Smoking behaviour (OR: 7.96; 95% CI: 5.13 to 12.36), beliefs about policy adherence (OR: 0.52; 95% CI: 0.40 to 0.69), support for the policy (OR: 0.71; 95% CI: 0.55 to 0.91) and attitudes against smoking behaviour (OR: 0.35; 95% CI: 0.25 to 0.49) were all significantly associated with self-reported policy violations.

CONCLUSIONS

This study found that violations of the campus smoke-free policy were fairly frequent and the policy has been largely ineffective, indicating a need for other interventions. Approaches to improve adherence to the policy should address barriers such as reminders about the policy, better policy enforcement and support from the administration.

Health in the United States: Are Appeals to Choice and Personal Responsibility Making Americans Sick?

The United States suffers high rates of preventable lifestyle disease despite widespread calls for people to take responsibility for their health. The United States also stands out in its rejection of government action to guide industry practices and consumer choices. Why? We examine how deeply rooted cultural narratives about “free choice” and “personal responsibility” infuse policymaking, advertising, media, social norms, and individual attitudes about health in the United States. We argue that these narratives contribute to ill health in the United States: They encourage stress and worry over health, blame and stigmatization of the unhealthy, widened health disparities, and the failure to adopt policies that could save lives. Psychologists can play a major role in expanding narratives about health so that they include the role of personal choice and responsibility but also reflect current science about the physical, social, and cultural drivers of health. These broader narratives can be used to promote a more comprehensive understanding of health and to better inform the design, communication, and implementation of effective health-supportive policies.

Smoking behaviours and attitudes towards campus-wide tobacco control policies among staff and students: a cross-sectional survey at the University of Birmingham

Background

Tobacco control policies have potential to be an effective strategy for the reduction of smoking prevalence and secondhand smoke (SHS) exposure in tertiary educational settings worldwide. The aims of this study were to collect baseline data among staff and students, to measure smoking behaviours and attitudes towards introduction of campus-wide tobacco control policies within a UK higher education setting.

Methods

Cross-sectional study using data collected by web-based questionnaire administered to employed staff and enrolled students (undergraduate/postgraduate) at the University of Birmingham from May 2016 to April 2017. Information was obtained regarding demographic characteristics, tobacco usage patterns and attitudes towards a revised campus tobacco control policy using a 21-item survey tool. Logistic regression analyses were used to explore associations between participant characteristics and support for smoke-free or tobacco-free campus policy options, evaluated by crude and adjusted Odds Radios (OR) after controlling for confounding factors (significance level: P < 0.05).

Results

A total of 934 survey responses were received, of whom 780 participants provided complete information on staff or student status and were included in the present analysis. Current smoking prevalence was 14% (N = 109; 95% confidence interval (CI) 11.6–16.6). Overall, 66.3% (95% CI: 62.9–69.7) of participants supported a smoke-free campus; 68.5% (95% CI: 65.2–71.8) endorsed restrictions for tobacco sales and just under half of respondents (47.3%; 95% CI: 43.8–50.9) supported a ban for electronic cigarettes/vaping device use on campus. Smoking status was an independent predictor of support for tobacco control, with the lowest level of support for a smoke-free campus among daily (adjusted OR 0.02; 95% CI: 0.01–0.05) and intermittent smokers (adjusted OR 0.06; 95% CI: 0.02–0.16).

Conclusions

Overall, the majority of staff and students participating in this baseline survey supported implementation of a smoke-free or comprehensive tobacco-free campus policy. These findings may inform the development and future implementation of a revised tobacco control policy at the university which reflects contemporary attitudes and considers a broad range of implementation issues, including behaviour change and environmental adaptations.

Adoption of electronic-cigarette-free, hookah-free and American College Health Association recommended tobacco-free policies among a national sample of postsecondary educational institutions

Objective: To examine the prevalence of various types of tobacco-free policies among a US national sample of postsecondary educational institutions (PEIs). Participants: A national sample of US PEIs (N = 605) attended by the participants of the NEXT Generation Health Study. Methods: Tobacco policies of these PEIs were reviewed to determine if they were e-cigarette-free (yes/no), hookah-free (yes/no), and ACHA-recommended tobacco-free (yes/no) in June-December 2017. Logistic regression models were used to examine the relationships between institutional characteristics and tobacco policies. Results: Overall, 39.2, 26.0, and 20.0% of the sample adopted e-cigarette-free, hookah-free, and ACHA-recommended tobacco-free policies, respectively. Proprietary PEIs (vs. public) were less likely to have ACHA-recommended tobacco-free policies, while PEIs in the South and Midwest (vs. West) were more likely to have ACHA-recommended tobacco-free policies (p < 0.05). Conclusions: Most sampled PEIs did not have ACHA-recommended tobacco-free polices. Subsequent research needs to investigate how ACHA-recommended tobacco policies influence tobacco use.

Sleep, Nutrition, Disordered Eating, Problematic Tobacco and Alcohol Use, and Exercise in College Students With and Without Diabetes

The purpose of the current study was to examine the health behaviors of college students with diabetes and compare behaviors to college students without diabetes. This descriptive study used the American College Health Association-National College Health Assessment II and included 1,216 students between ages 18 and 24. Health behaviors related to sleep, nutrition, disordered eating, problematic tobacco and alcohol use, and exercise were examined. Students with diabetes (n = 528) reported a higher frequency of meeting exercise recommendations and less healthy behaviors related to nutrition and problematic tobacco and alcohol use. Both groups of students reported inadequate sleep. Students with diabetes reported more academic problems due to sleep difficulties, disordered eating, and problematic alcohol use. Health behaviors in both groups showed similar needs for improvement. Nurses are in a position to guide new, prospective, and continuing college students with diabetes in practicing behaviors associated with positive health outcomes. Opportunities for interventions are numerous. [Journal of Psychosocial Nursing and Mental Health Services, 57(12), 23-32.].

Smoking and Tobacco-Free Policies in Women's Residential Substance Use Disorder Treatment Facilities: A Community-Engaged Approach

Introduction

The purpose of this study was to (1) describe the role of smoking in the lives of women in residential substance use disorder (SUD) treatment and (2) explore perceptions of the facilitators and barriers to tobacco-free policy among women in residential SUD treatment.

Methods

This was a community-engaged study using qualitative descriptive methods. We first recruited women in a residential SUD treatment facility to participate on a community research team. Interviews with staff (N = 10) and focus groups with clients (N = 42) were conducted using guides informed by the community research team. Interviews and focus groups were analyzed using content analysis.

Results

There were two themes related to the role of smoking in the women's lives: (1) smoking facilitates socialization and (2) smoking as a coping mechanism. There were three themes related to the benefits of tobacco-free policy: (1) improved health, (2) support for continued abstinence from a previous tobacco-free placement (eg, prison), and (3) less grounds up-keep. Barriers to tobacco-free policy included (1) lack of an alternative coping mechanism to smoking, (2) fear that a tobacco-free policy would drive clients away, and (3) anticipation of implementation challenges.

Conclusions

Many women in residential SUD treatment smoke, which they attribute to the fact that smoking is used to facilitate socialization and cope with stress. Future research is needed to develop and test messages to counter the misperception that smoking is an effective method to cope with stress. Ultimately, evidence-based tobacco-free policies are needed to reduce tobacco-related disease among women with SUDs.

Implications

To promote smoking cessation among women with substance use disorders through evidence-based tobacco policy, it is necessary to first understand the role of smoking in their lives as well as facilitators and barriers to tobacco-free policy in residential treatment facilities. Participants reported that smoking facilitated socialization and served as a coping mechanism. Tobacco-free policies have many benefits, including improved health, support for continued abstinence from a previous tobacco-free placement (eg, prison), and less grounds up-keep. Barriers include the lack of an alternative coping mechanism, fear that a tobacco-free policy would drive away clients and anticipation of implementation challenges. To reduce the burden of tobacco-related morbidity and mortality among women and their children, it is necessary to catalyze a culture change in behavioral health settings to prioritize the treatment of tobacco alongside treatment of other addictions.