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

Spatiotemporal trends in the burden of colorectal cancer incidence and risk factors at country level from 1990 to 2019

BACKGROUND AND AIM

Worldwide, the incidence of colorectal cancer (CRC) continues to rise and remains a major public health concern. This study aimed to analyze the temporal and spatial trends in CRC incidence and related risk factors at the country level.

METHODS

Data on CRC and related risk factors were obtained from the Global Burden of Disease Study (GBD) 2019 study. Temporal trends were evaluated using estimated annual percentage change while spatial trends were analyzed using spatial autocorrelation and autoregression. Additionally, linear mixed-effects models were employed to identify risk factors linked to CRC incidence.

RESULTS

Globally, from 1990 to 2019, the incidence cases of CRC increased by 157.23%. At the national level, the incidence of CRC increased in most countries, with the highest increases of age-standardized incidence rate (ASIR) in Equatorial Guinea, Vietnam, and China. In both 1990 and 2019, global spatial clustering of CRC ASIR highlighted hotspots in Europe, characterized by elevated CRC ASIR levels. A comparative analysis of risk factors between hotspot countries and others indicated that gender and alcohol use exerted greater influence in hotspots than elsewhere.

CONCLUSION

Although from 1990 to 2019, the highest growth in ASIR of CRC has been observed in African, Asian, and Latin American countries, the hotspots are still concentrated in Europe. In the identified hotspots, gender and alcohol use exert a more significant impact on CRC incidence compared with other countries. Thus, we should pay attention to countries where the CRC incidence is increasing and these risk factors.

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.

Perceptions of Tobacco Price Policy among Students from Sapienza University of Rome: Can This Policy Mitigate Smoking Addiction and Its Health Impacts?

Tobacco use is one of the main risk factors for non-communicable diseases. Avoiding youth initiation and treating addiction are fundamental public health issues to ensure better health. Among tobacco control policies, increasing tobacco price is the single most effective intervention. It reduces tobacco consumption, especially among youths, while representing a government financing source. This study aimed to assess the agreement with the proposal of a one-euro increase in tobacco price earmarked to health issues among students at Sapienza University. Two convenience samples were surveyed, five years apart, on World No Tobacco Days. Smoking habits, agreement with the proposal and reasons for it were collected. Results from the 208 questionnaires (107 in 2014, 101 in 2019) showed 46.6% of agreement with the proposal (53.3% in 2014, 39.2% in 2019, p = 0.044). Main predictive factor for agreement was being a non-smoker (OR = 6.33 p < 0.001), main reason (64.8%) was it could trigger smokers to quit or reduce consumption. Several factors might have influenced this finding, including the introduction of novel tobacco products and their increased advertisement on social media. In 2024, European Union is planning to update the Tobacco Taxation Directive which could greatly contribute to the reduction of non-communicable diseases and premature deaths.

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.

The prevalence and sociodemographic determinants of tobacco and nicotine use among students in healthcare disciplines in Saudi Arabian universities: a cross-sectional survey

Background

Tobacco smoking is one of the most significant health-related problems worldwide. However, the prevalence and sociodemographic determinants of tobacco and nicotine use among students on healthcare courses in Saudi Arabia are limited.

Methods

This cross-sectional study used a questionnaire that was distributed via SurveyMonkey between November 2022 and June 2023 to all student universities offering healthcare courses. Data are presented as frequency and percentages. The associated sociodemographic factors with current tobacco and nicotine use were subjected to logistic regression.

Results

Overall, 5,012, of whom 3,872 (77.25%) were males, responded to the online survey. The prevalence of current tobacco and nicotine use was 3,553 (71%). The majority of users used electronic nicotine delivery systems (1,622: 32.36%). The current use of cigarettes (AOR: 1.75 (1.42 to 2.15)), e-cigarettes (AOR: 1.17 (1.01 to 1.37)), and smokeless tobacco substances (AOR: 1.35 (1.02 to 1.90)) were more pronounced among males compared to female students. However, the current use of a hookah was less among males (AOR: 0.74 (95% CI: 61 to 0.91)). Smoking cigarettes was practiced less among students living in other regions compared to the Central Region. However, smokeless tobacco substances seem to be more prevalent in the Western, Southern, and Northern Regions, (AOR: 1.57 (95% CI: 1.09 to 2.26)), (AOR: 1.43 (95% CI: 1.04 to 1.95)), and (AOR: 1.57 (95% CI: 1.09 to 2.26)), respectively.

Conclusion

Smoking is prevalent among students in the healthcare disciplines, with electronic nicotine delivery systems being the most used product. Several sociodemographic factors were associated with higher tobacco or nicotine use.

Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation

BACKGROUND

Non-smoking college students are starting to smoke in increasing numbers, which shows that their tobacco control situation seems not optimistic. The UTAUT and e-HL are commonly used models and theories to predict health behaviors, while there are few studies on tobacco control. This paper aims to study the influencing factors of tobacco control intention and behavior of non-smoking college students in China by combining the UTAUT and e-HL.

METHODS

Based on the stratified sampling method, 625 college students from 12 universities were selected. Data were collected using a self-made questionnaire designed based on the UTAUT and e-health literacy scales. Data were analyzed by SPSS 22 and AMOS 26, including descriptive statistics, one-way variance analysis and structural equation model analysis.

RESULTS

The results of one-way variance analysis showed that there were significant differences in the score of non-smoking college students' tobacco control intention or behavior by hometowns, monthly living expenses, and parents' smoking history. Performance expectancy, effort expectancy, social influence had direct positive effects on behavioral intention. Facilitating condition, behavioral intention had direct positive impacts on use behavior and e-HL had an indirect positive impact on use behavior.

CONCLUSIONS

The combination of the UTAUT and e-HL can be used as an appropriate framework to predict the influencing factors of non-smoking college students' intention and behavior of tobacco control. Improving performance expectancy, effort expectancy, and e-HL among non-smoking college students, creating positive social environments, and providing facilitating condition are key aspects of increasing their tobacco control intention and behavior. It is also beneficial to promote the implementation of smoke-free campus and smoke-free family projects.

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.

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.

Campus Smoking Policies and Smoking-Related Twitter Posts Originating From California Public Universities: Retrospective Study

Background

The number of colleges and universities with smoke- or tobacco-free campus policies has been increasing. The effects of campus smoking policies on overall sentiment, particularly among young adult populations, are more difficult to assess owing to the changing tobacco and e-cigarette product landscape and differential attitudes toward policy implementation and enforcement.

Objective

The goal of the study was to retrospectively assess the campus climate toward tobacco use by comparing tweets from California universities with and those without smoke- or tobacco-free campus policies.

Methods

Geolocated Twitter posts from 2015 were collected using the Twitter public application programming interface in combination with cloud computing services on Amazon Web Services. Posts were filtered for tobacco products and behavior-related keywords. A total of 42,877,339 posts were collected from 2015, with 2837 originating from a University of California or California State University system campus, and 758 of these manually verified as being about smoking. Chi-square tests were conducted to determine if there were significant differences in tweet user sentiments between campuses that were smoke- or tobacco-free (all University of California campuses and California State University, Fullerton) compared to those that were not. A separate content analysis of tweets included in chi-square tests was conducted to identify major themes by campus smoking policy status.

Results

The percentage of positive sentiment tweets toward tobacco use was higher on campuses without a smoke- or tobacco-free campus policy than on campuses with a smoke- or tobacco-free campus policy (76.7% vs 66.4%, P=.03). Higher positive sentiment on campuses without a smoke- or tobacco-free campus policy may have been driven by general comments about one’s own smoking behavior and comments about smoking as a general behavior. Positive sentiment tweets originating from campuses without a smoke- or tobacco-free policy had greater variation in tweet type, which may have also contributed to differences in sentiment among universities.

Conclusions

Our study introduces preliminary data suggesting that campus smoke- and tobacco-free policies are associated with a reduction in positive sentiment toward smoking. However, continued expressions and intentions to smoke and reports of one’s own smoking among Twitter users suggest a need for more research to better understand the dynamics between implementation of smoke- and tobacco-free policies and resulting tobacco behavioral sentiment.