Smoking ban policies and their influence on smoking behaviors among current California smokers: a population-based study

Association of cigarette excise taxes and clean indoor air laws with change in smoking behavior in the United States: a Markov modeling analysis

The rates of cigarette smoking in the United States have declined over the past few decades in parallel with increases in cigarette taxes and introduction of more stringent clean indoor air laws. Few longitudinal studies have examined association of taxes and clean indoor air policies with change in smoking nationally. This study examined the association of state and local cigarette taxes and clean indoor laws with change in smoking status of 18,499 adult participants of the longitudinal 2010-2011 Tobacco Use Supplement of the Current Population Survey over a period of 1 year. Every $1 increase in cigarette excise taxes was associated with 36% higher likelihood of stopping smoking among regular smokers. We found no association between clean indoor air laws and smoking cessation nor between taxes and clean indoor air laws with lower risk of smoking initiation. Cigarette taxes appear to be effective anti-smoking policies. Some state and local governments do not take full advantage of this effective policy measure.

Dependence motives and use contexts that predicted smoking cessation and vaping cessation: A two-year longitudinal study with 13 waves

INTRODUCTION

Prior studies examining the impact of e-cigarette use, dependence, cessation motivation/goals, and environmental restriction on smoking cessation were based on cross-sectional or shorter-term longitudinal data with binary outcomes. There is also a critical knowledge gap in corresponding impact on vaping cessation. This study aims to fill in these gaps by investigating these factors' effects on speed of progression to smoking and vaping cessation.

METHODS

This study conducted secondary analysis of data from 13 waves of assessment of adult cigarette users in Wisconsin from October 2015 through July 2019. Cox regression was employed to examine baseline predictors' effects on speed of progression to smoking cessation (past-month abstinence) among 405 exclusive combustible cigarette users and dual users of combustible and electronic cigarettes, as well as progression to vaping cession among 178 dual users.

RESULTS

Dual use of e-cigarettes with cigarettes, lower primary dependence motives of smoking, higher secondary dependence motives of smoking, higher motivation to quit smoking, more ambitious future goals to quit smoking, and more restrictive environment for smoking all contributed to quicker progression to smoking cessation. Dual users with higher secondary dependence motives of smoking or with lower primary dependence motives of vaping progressed faster to vaping cessation.

CONCLUSIONS

The findings support that nicotine dependence is product-specific with two distinct constructs: the primary dependence motives are associated with more difficulty to quit, whereas the secondary dependence motives have the opposite effect. Dual users with strong instrumental reasons for smoking may not find e-cigarettes as an effective substitute for cigarettes.

Displacement imposition scale assesses reactions of cigarette and e-cigarette users impacted by a campus-wide smoking ban

OBJECTIVE

The present study developed a measure assessing the emotional responses, "Displacement Imposition," of cigarette and e-cigarette users on a college campus with a smoking/vaping ban. It also examined the relationship between Displacement Imposition and readiness to quit smoking/vaping, and how this relationship differed between cigarette and e-cigarette users.

PARTICIPANTS

Participants (N = 297) were from a large, Midwestern university.

METHODS

Participants completed online questionnaires assessing demographics, cigarette and e-cigarette use, Displacement Imposition, and readiness to quit.

RESULTS

All six Displacement Imposition items loaded onto a single factor. A significant interaction emerged between Displacement Imposition and product use in predicting readiness to quit. At high levels of Displacement Imposition, cigarette users were less ready to quit than e-cigarette users.

CONCLUSIONS

Findings suggest restrictions imposed on cigarette and e-cigarette users were associated with reduced readiness to quit. Findings inform tobacco control policies as tobacco denormalization may increase the burden placed on tobacco users.

Why Can't I Stop Smoking: Predictors of Tobacco Use and Quit Rates in the Freedom From Tobacco Program

Introduction  As the leading cause of preventable chronic diseases in adults 18 years and older, tobacco usage in the U.S. results in over 20 million premature deaths annually. Current smokers might need extra support on the path to successfully quitting.  Aim To evaluate the influence of predictors of smoking-on-smoking cessation in the Freedom From Tobacco Program (FFT) offered by Southern California Permanente Medical Group (SCPMG). Methods This was a quasi-experimental study to evaluate rates of smoking cessation among participants in the FFT program. There were 471 participants in the study. Factors of the Social Ecological Model (SEM) and demographics were examined to determine if they could predict tobacco cessation. The SEM suggests that an individual's behavior is integrated into a network of intrapersonal characteristics, interpersonal processes, institutional factors, community features, and public policy. In particular, the study mainly addressed the institutional factor. It was promoted within a Health Management Organization and the interpersonal process because it was a group intervention.  Findings  After multiple regression analyses with all predictors from the SEM and demographics, the only significant predictor was the number of previous attempts to quit. Smokers who tried to stop four or more times in the past were 2.6 times (p<0.03) more likely to quit than those who tried fewer times. As we are aware, this was the first time this result was found for programs implemented by Health Management Organizations. The general quit rate at 12 months for the FFT program was 43.1%. Conclusion As the only predictor of quitting in this study was the number of previous attempts to quit smoking, the recommendation is to develop longer-term smoking cessation programs or a longer follow-up to facilitate smokers who relapse to go back and try to quit again. Another recommendation is to identify the main reasons for relapse and try to address these factors in further interventions.

The Role of Ethnicity and Nativity in the Correspondence between Subjective and Objective Measures of In-Home Smoking

Studies are needed to understand the association between self-reported home smoking bans and objective measures of in-home smoking according to smokers' ethnicity/nativity. Data came from a trial that used air particle monitors to reduce children's secondhand smoke exposure in smokers' households (N = 251). Linear regressions modeled (a) full home smoking bans by ethnicity/nativity, and (b) objectively measured in-home smoking events, predicted by main and interaction effects of self-reported home smoking bans and ethnicity/nativity. Among smokers reporting < a full ban, US-born and Foreign-born Latinos had fewer in-home smoking events than US-born Whites (p < 0.001). Participants who reported a full smoking ban had a similar frequency of smoking events regardless of ethnicity/nativity. Results indicate that self-reported home smoking bans can be used as a proxy for in-home smoking. Establishing smoking bans in the households of US-born White smokers has the largest impact on potential exposure compared to other ethnicity/nativity groups.

Smoking-Related Social Interactions as Experienced by Persons Who Smoked Long-term

PURPOSE/AIMS

Smoking-related stigma is manifested in the everyday social interactions of persons who smoke and can result in low self-esteem, diminished self-efficacy, and resistance to smoking cessation. The purpose of this study was to describe smoking-related social interactions as experienced by persons with a history of long-term smoking.

DESIGN

This study used a qualitative descriptive approach.

METHODS

This study is part of a larger study designed to identify factors that influence lung cancer screening participation. Data were drawn from 39 qualitative interviews with persons from the parent study. All descriptions about smoking-related social interactions found in the narratives were extracted, coded, categorized, and summarized with content analytic techniques.

RESULTS

Seven different types of social interactions were identified: (a) being looked down on for smoking, (b) being humiliated for smoking in public, (c) being banished while smoking, (d) being blamed for one's health problems, (e) not "really" being blamed for smoking, (f) being told "just quit," and (g) being worried about hurting others.

CONCLUSIONS

Clinical nurse specialists should promote antismoking campaigns that are not stigmatizing, discuss health risks of smoking in a respectful manner, provide evidence-based cessation resources, improve communication with persons who smoke, and address stigma in programs to improve screening for smoking-related illnesses.

Impact and Effectiveness of Legislative Smoking Bans and Anti-Tobacco Media Campaigns in Reducing Smoking among Women in the US: A Systematic Review and Meta-Analysis

Background: The purpose of this study is to systematically review the literature addressing the effectiveness of legislative smoking bans and anti-tobacco media campaigns in reducing smoking among women. Methods: MEDLINE, PubMed, CINAHL, and ABI/INFORM were searched for studies published from 2005 onwards. Meta-analysis was conducted using a random effects model and subgroup analysis on pre-selected characteristics. Results: In total, 652 articles were identified, and five studies satisfied the inclusion criteria. The studies varied from school-based to workplace settings and had a total of 800,573 women participants, aged 12 to 64 years old. Three studies used legislative bans, one study used anti-tobacco campaigns and another one used both as their intervention. The overall pooled effect of the five studies yielded an odds ratio (OR) = 1.137 (C.I. = 0.976–1.298 and I² = 85.6%). Subgroup analysis by intervention revealed a significant pooled estimate for studies using legislative smoking bans OR = 1.280 (C.I. = 1.172–1.389 and I² = 0%). Conclusion: Legislative smoking bans were found to be associated with a reduction in the smoking rates among women compared to anti-tobacco media campaigns. Further research in this area is needed.

Smoking behavior and social contexts associated with smoking among dual-smoker couples

OBJECTIVES

To examine smoking behavior and social contexts related to smoking among dual-smoker couples.

DESIGN

Cross-sectional online survey study.

SAMPLE

A convenience sample of 183 dual-smoker couples.

MEASUREMENTS

Investigator-developed survey on smoking and related social contexts.

RESULTS

Participants smoked 16.0 cigarettes daily for 14.2 years; 48.4% shared more than half of their smoking time with their spouse. More than half made quit attempts in the past year individually (M = 5.3) and jointly (M = 2.5). Couples sharing more smoking time were more likely to be motivated to quit (p = .002), make quit attempts (p < .0001), and be interested in cessation interventions (p = .002); but less likely to implement home smoking bans (p < .001). Among those who reported quit attempts, 41% quit by themselves and 15.3% sought professional assistance. Most common reasons for relapse were chronic stress and crisis, 63.6%, however, were interested in smoking cessation services, preferably technology-based interventions.

CONCLUSIONS

We found smoking interdependence within dual-smoker couples. Despite high levels of motivation to quit, most did not utilize professional help, leading to low successful quit rates. Technology-based smoking cessation interventions incorporating spousal support and addressing stress/crisis may best assist dual-smoker couples.

The contribution of a 'whole of government' smoke-free policy on the island of St Helena

Under its Health Promotion Strategic Framework 2018–19 the St Helena Government prioritised action to address smoking and obesity to reduce a high non-communicable disease burden. The first tobacco control measure was a policy, ‘Smoke-Free Government’ (SFG), to create smoke-free public outdoor and indoor sites across all sites and services for staff and public users, abolish ‘official’ staff ‘smoking breaks’, and establish and promote community-wide cessation support. This paper assesses the perceived acceptability and preliminary impact of SFG in St Helena 2018–19. An online survey of government staff was undertaken 6 months post-SFG implementation to obtain insight into perceived impact, implementation, and acceptability. A population-wide health survey provided smoking prevalence and quit data prior to, and 11 months post-implementation. A majority of staff believed the policy contributed to reducing smoking, was generally observed, accepted, and entailed one or more positive effects, including reduced second-hand smoke exposure, increased quit attempts, and reduced disruption from ‘smoke-breaks’. Recommendations were consistent enforcement and expanded quit support. Population data for the SFG period indicated that smoking, and particularly daily smoking declined, quit intentions increased, and quit attempts almost doubled. The SFG policy appears to have contributed positively towards stronger tobacco control in St Helena in 2018–19.

Tobacco pack display at hospitality venues after the introduction of standardised tobacco packaging in New Zealand: a field observation study

OBJECTIVES

In March 2018, New Zealand (NZ) introduced standardised tobacco packaging that also featured new pictorial warnings, with implementation completed by early June 2018. We evaluated how the new packaging affected tobacco pack displays in outdoor areas of hospitality venues.

DESIGN

Before-and-after descriptive field observation study.

SETTING

Central city area of the capital city of NZ (Wellington).

PARTICIPANTS

Observations of people smoking and tobacco packs were made at 56 hospitality venues with outdoor tables (2422 separate venue observations), after the introduction of standardised tobacco packaging. Comparisons were made with a prior study in the same setting, from a time when tobacco packaging still featured brand imagery.

RESULTS

A total of 8191 patrons, 1113 active smokers and 889 packs and pouches (522 of known orientation) were observed over 2422 venue observations. There were 0.80 visible packs per active smoker in 2018, compared with 1.26 in 2014 (risk ratio (RR)=0.64, 95% CI 0.60 to 0.67, p<0.0001). The new packs in 2018 were also less likely to be displayed face-up, compared with packs in 2014, which had brand imagery on the front face (RR=0.77, 95% CI 0.72 to 0.83, p<0.0001). Pack and pouch display (RR=3.09 in 2014 and 3.10 in 2018) and active smoking (RR=3.16 in 2014 compared with 3.32 in 2018) were higher at venues without children present, compared with venues with children present (this finding was consistent over time).

CONCLUSIONS

The reduction in the number of visible packs per active smoker, along with the reduction in face-up positioning of packs, suggests that smokers found the new standardised packs less attractive. Countries introducing standardised packaging should consider evaluating social display of tobacco packaging.

Effect of tobacco control policies on intention to quit smoking cigarettes: A study from Beirut, Lebanon

INTRODUCTION

In Lebanon, the tobacco control policy, Law 174, became effective in 2011. Using the International Tobacco Control Policy Evaluation Project (ITC) conceptual model, this study aims to assess the association between exposure to control measures related to the policy and the intention to quit, which is a mediator in the pathway leading to behavioral change (quitting).

METHODS

This is a secondary data analysis of 154 cigarette smokers from a cross-sectional survey that assessed compliance with Law 174 among Beirut residents aged 15–65 years. Data were collected face-to-face, three months after the implementation of indoor public places and tobacco advertisement/promotion bans. Intention to quit smoking was the main outcome. Exposure to policy control measures such as seeing smokers in restaurants, and noticing warning labels on cigarette packs were the explanatory variables. Sociodemographics, past smoking behavior, and psychosocial variables were also considered for their moderating and mediating effects, respectively. Crude and adjusted odds ratios (ORs) were generated. Sobel test was used to check for possible mediation.

RESULTS

Intention to quit was reported by 24% of cigarette smokers. The association between noticing warning labels and having intentions to quit was statistically significant (adjusted OR=6.27). Concerns about influencing children’s smoking behavior had a statistically significant mediation effect on the relationship. After adding the interaction term between noticing the warnings and previous quit attempts, the OR was inflated to 12.92, suggesting a possible interaction.

CONCLUSIONS

This study offers preliminary insight into how Lebanese smokers are influenced by policy related control measures like health warning labels on cigarette packs. Tobacco control policy advocates should push for stronger enforcement of public smoking bans in general. Behavioral intervention should work on the mediator variables to influence smoking behavior and encourage quitting. Further prospective studies modelling quitting as outcome are needed.

Assessing the knowledge, attitudes and perceptions of tobacco-associated diseases and how it is influenced by tobacco products advertisement, promotion and sponsorship while enforcing a strong and comprehensive ban in Panama: a cross-sectional study

OBJECTIVES

Assessing the knowledge, attitudes and perceptions (KAP) of tobacco-associated diseases, and how it is influenced by tobacco products' advertisement, promotion and sponsorship (TAPS) while enforcing a strong and comprehensive ban.

DESIGN

The Panamanian implementation of the Global Adult Tobacco Survey: an international standardised cross-sectional survey study.

SETTING

National Panamanian population aged between 15 years and 29 years old.

PARTICIPANTS

There were 4796 responding participants (n=905 830 in the expanded sample).

PRIMARY AND SECONDARY OUTCOMES

An index was developed using factorial analysis using TAPS and KAP variables. The primary outcomes were: (1) The national median index value. (2) The index value stratified by sex, age, occupation, income quintile and geographical areas. (3) The first and second factor loadings (FFL and SFL, respectively) for variables included in the KAP index.

RESULTS

Fifteen out of the 16 variables comprising the index were variables related to KAP and one variable was related to TAPS. The top three variables according to their FFL were 'KAP that cigarette is associated to …': (1) '… bladder cancer'. (2) '… breast cancer'. (3) '… stomach cancer'. The top three variables according to the SFL were 'KAP that cigarette is associated to …': (1)'… chronic bronchitis'. (2) '… myocardial infarction'. (3) '… lung cancer'. Illegal tobacco advertisement in posters was the only TAPS variable included in the index. The national KAP index value was 0.26. Our results show that current smokers, teens, men, people with the lowest income quintile, and those living in Guna Yala Indigenous Territory (health region with the highest smoking prevalence) had a lower median value than the national median.

CONCLUSIONS

Men, young adults and deprived youth had the lowest median KAP index. Illegal TAPS had no influence on the KAP of tobacco-associated diseases when a strong and comprehensive ban is enforced.

Implementation phase of the Tobacco-Free Parks Ordinance: a policy evaluation using photographic data

OBJECTIVE

Mecklenburg County (Charlotte, North Carolina) Board of County Commissioners took the unique step of passing a Tobacco-Free Parks Ordinance designating most county parks as tobacco-free including all smoking products, smokeless tobacco, and e-cigarettes. The objective of the baseline phase of the Ordinance evaluation sought to assess whether signage in the parks was associated with the presence of tobacco-use litter.

STUDY DESIGN

A qualitative study was conducted with photography as the method of observation across Mecklenburg County parks in North Carolina.

METHODS

A representative sample of 42 parks was selected from the 186 county park properties. Photographs were taken at a list of specific types of locations within each park, with attention to signage and tobacco-use litter (butts, e-cigarette).

RESULTS

Tobacco-use evidence was mostly found in parks' picnic areas (67%) and walking trails (67%), with least found in parks' athletic courts (23%). At least 80% of parks have some tobacco litter. Evidence of tobacco use was not significantly associated with signage.

CONCLUSION

Little research has focused on the effect of local public policies limiting tobacco use in public outdoor spaces. Findings from this evaluation have potential to inform policy implementation efforts regarding efforts to limit tobacco use in public spaces.

Provider Counseling About Secondhand Smoke Exposure for Urban Children With Persistent or Poorly Controlled Asthma

Urban children continue to be exposed to secondhand smoke (SHS), and this is particularly concerning for children with asthma. The objective of this study is to describe SHS exposure among urban children with asthma and assess SHS counseling delivered at primary care visits. We interviewed caregivers of 318 children (2-12 years) with persistent asthma at the time of a health care visit and reviewed medical records. We found that one third (32%) of children lived with a caregiver who smoked and that 15% lived with other smokers. Children whose caregivers smoked had the lowest prevalence of home smoking bans compared with homes with other smokers and no smokers (65% vs. 72% vs. 95%, respectively). Overall, 67% of caregivers received some SHS counseling. Providers most often counseled caregiver smokers; counseling occurred less frequently for caregivers in homes with other or no smokers. Further efforts to improve provider SHS counseling for all children with asthma are needed.

Inequities in coverage of smokefree outdoor space policies within the United States: school grounds and playgrounds

Background

Previous studies have found extensive geographic and demographic differences in tobacco use. These differences have been found to be reduced by effective public policies, including banning smoking in public spaces. Smokefree outdoor spaces reduce secondhand smoke exposure and de-normalize smoking.

Methods

After previously publishing a study of smokefree indoor and outdoor space policies, it was brought to the authors’ attention that the dataset used in analyses was incomplete (Lowrie et al., BMC Public Health 17:456, 2017). The current manuscript is a corrected version. Here, we include analyses for outdoor space policies. We evaluated regional and demographic differences in the proportion of the population (both adult and child) covered by smokefree outdoor space policies for school grounds and playgrounds enacted in the United States prior to 2014.

Results

Children had a low level of protection in playgrounds and schools (8% covered nationwide in both settings). Significant differences in coverage were found by ethnicity, region, income, and education (p < 0.001). The odds of having a smokefree playgrounds policy was lower for jurisdictions with higher proportions of poor households, households with no high school diploma, whites and the Alaska/Hawaii region. Increased ethnic heterogeneity was found to be a significant predictor of increased odds of having a smokefree playgrounds policy, meaning that diversity is protective, with differential effect by region (p < 0.001) – which may relate to urbanicity.

Conclusions

Disparities in smokefree outdoor space policies have potential to exacerbate existing health inequities. A national increase in smokefree outdoor space policies to protect children in playgrounds and schools is a crucial intervention to reduce such inequities.

E-Cigarettes: Use, Effects on Smoking, Risks, and Policy Implications

Since e-cigarettes appeared in the mid-2000s, some practitioners, researchers, and policy makers have embraced them as a safer alternative to conventional cigarettes and an effective way to stop smoking. While e-cigarettes deliver lower levels of carcinogens than do conventional cigarettes, they still expose users to high levels of ultrafine particles and other toxins that may substantially increase cardiovascular and noncancer lung disease risks, which account for more than half of all smoking-caused deaths, at rates similar to conventional cigarettes. Moreover, rather than stimulating smokers to switch from conventional cigarettes to less dangerous e-cigarettes or quitting altogether, e-cigarettes are reducing smoking cessation rates and expanding the nicotine market by attracting youth.

Tobacco Use Cessation Among Quitline Callers Who Implemented Complete Home Smoking Bans During the Quitting Process

INTRODUCTION

The implementation of a home smoking ban (HSB) is associated with tobacco use cessation. We identified which quitline callers were most likely to report 30-day cessation among those who implemented complete HSBs after enrollment.

METHODS

Our sample consisted of callers to the Arizona Smokers' Helpline who enrolled from January 1, 2011, through July 26, 2015, and who reported no HSB at enrollment and a complete HSB by 7-month follow-up. We used logistic regression to estimate associations between no use of tobacco in the previous 30 days (30-day quit) at 7-month follow-up and demographic characteristics, health conditions, tobacco use, and cessation strategies.

RESULTS

At 7-month follow-up, 65.4% of 399 callers who implemented a complete HSB reported 30-day quit. Lower odds of tobacco use cessation were associated with having a chronic health condition (odds ratio [OR], 0.31; 95% confidence interval [CI], 0.18-0.56) and living with other smokers (OR, 0.46; 95% CI, 0.29-0.73). Higher odds of tobacco cessation were associated with completing 5 or more telephone coaching sessions (OR, 2.48; 95% CI, 1.54-3.98) and having confidence to quit (OR, 2.05; 95% CI, 1.05-3.99). However, confidence to quit was not significant in the sensitivity analysis.

CONCLUSION

Implementing an HSB after enrolling in quitline services increases the likelihood of cessation among some tobacco users. Individuals with complete HSBs were more likely to quit if they did not have a chronic health condition, did not live with another smoker, and were actively engaged in coaching services. These findings may be used by quitlines to develop HSB intervention protocols primarily targeting tobacco users most likely to benefit from them.

Massachusetts Medicaid members that smoked in 2008: Characteristics associated with smoking status in 2014

The smoking rate among non-elderly Medicaid enrollees is more than double the rate for those privately insured; smoking-related conditions account for 15% of Medicaid expenditures. Under state health reform, Massachusetts Medicaid (MassHealth) made tobacco cessation treatment available beginning in 2006. We used surveys conducted in 2008 and 2014 to examine changes in smoking abstinence rates among MassHealth members identified as smokers and to identify factors associated with being a former smoker. Members previously identified as smokers were surveyed by mail or phone; 2008 and 2014 samples included 3,116 and 2,971 members, respectively. Surveys collected demographic and health information, asked members whether they smoked cigarettes "every day, some days or not at all', and asked questions to assess smoking intensity among current smokers. The 2014 survey included an open ended-question asking members "what helped the most" in quitting or quit attempts. We observed a significant decrease in members reporting smoking "every/some days" of 15.5 percentage points (p < .0001) from 2008 to 2014, and a significant decrease in smokers reporting smoking "more than 10 cigarettes on days smoked" of 16.7 percentage points (p < .0001). Compared to smokers, former smokers more frequently reported health concerns, the influence of family members, and the use of e-cigarettes as helping the most in quitting. Expanded access to tobacco cessation treatment under the Affordable Care Act may have help to reduce the high smoking rates among Medicaid enrollees. Additionally, smokers' concerns about health and the influence of family and friends provide opportunities for targeted intervention and messaging about quitting.

Smokefree signage at children's playgrounds: Field observations and comparison with Google Street View

Background

Although there is global growth in outdoor smokefree areas, little is known about the associated smokefree signage. We aimed to study smokefree signage at playgrounds and to compare field observations with images from Google Street View (GSV).

Methods

We randomly selected playgrounds in 21 contiguous local government areas in the lower North Island of New Zealand, all of which had smokefree playground policies. Field data were collected on smokefree signage along with dog control signage to allow for comparisons. The sensitivity and specificity of using GSV for data collection were calculated.

Results

Out of the 63 playgrounds studied, only 44% (95% CI: 33%–57%) had any smokefree signage within 10 m of the playground equipment. The mean number of such signs was 0.8 per playground (range: 0 to 6). Sign size varied greatly from 42 cm² up to 2880 cm²; but was typically fairly small (median = 600 cm²; ie, as per a 20 × 30 cm rectangle). Qualitatively the dog signs appeared to use clearer images and were less wordy than the smokefree signs.

Most playground equipment (82%), could be seen on GSV, but for these settings the sensitivity for identifying smokefree signs was poor at 16%. Yet specificity was reasonable at 96%.

Conclusions

The presence and quality of smokefree signage was poor in this sample of children’s playgrounds in this developed country setting. There appears to be value in comparing smokefree signage with other types of signage (eg, dog control signage). Google Street View was not a sensitive tool for studying such signage.

Electronic supplementary material

The online version of this article (10.1186/s12971-017-0143-x) contains supplementary material, which is available to authorized users.

Inequities in coverage of smokefree space policies within the United States

BACKGROUND

Previous studies have found extensive geographic and demographic differences in tobacco use. These differences have been found to be reduced by effective public policies, including banning smoking in public spaces. Smokefree indoor and outdoor spaces reduce secondhand smoke exposure and denormalize smoking.

METHODS

We evaluated regional and demographic differences in the proportion of the population covered by smokefree policies enacted in the United States prior to 2014, for both adults and children.

RESULTS

Significant differences in coverage were found by ethnicity, region, income, and education (p < 0.001). Smokefree policy coverage was lower for jurisdictions with higher proportions of poor households, households with no high school diploma and the Southeast region. Increased ethnic heterogeneity was found to be a significant predictor of coverage in indoor "public spaces generally", meaning that diversity is protective, with differential effect by region (p = 0.004) - which may relate to urbanicity. Children had a low level of protection in playgrounds and schools (~10% covered nationwide) - these spaces were found to be covered at lower rates than indoor spaces.

CONCLUSIONS

Disparities in smokefree space policies have potential to exacerbate existing health inequities. A national increase in smokefree policies to protect children in playgrounds and schools is a crucial intervention to reduce such inequities.

Exploring Impacts of Taxes and Hospitality Bans on Cigarette Prices and Smoking Prevalence Using a Large Dataset of Cigarette Prices at Stores 2001-2011, USA

In the USA, little is known about local variation in retail cigarette prices; price variation explained by taxes, bans, and area-level socio-demographics, and whether taxes and hospitality bans have synergistic effects on smoking prevalence. Cigarette prices 2001–2011 from chain supermarkets and drug stores (n = 2973) were linked to state taxes (n = 41), state and county bar/restaurant smoking bans, and census block group socio-demographics. Hierarchical models explored effects of taxes and bans on retail cigarette prices as well as county smoking prevalence (daily, non-daily). There was wide variation in store-level cigarette prices in part due to differences in state excise taxes. Excise taxes were only partially passed onto consumers (after adjustment, $1 tax associated with $0.90 increase in price, p < 0.0001) and the pass-through was slightly higher in areas that had bans but did not differ by area-level socio-demographics. Bans were associated with a slight increase in cigarette price (after adjustment, $0.09 per-pack, p < 0.0001). Taxes and bans were associated with reduction in smoking prevalence and taxes had a stronger association when combined with bans, suggesting a synergistic effect. Given wide variation in store-level prices, and uneven state/county implementation of taxes and bans, more federal policies should be considered.

A smoke-free medical campus in Jerusalem: data for action

Background

Establishing smoke-free environments is a major component of tobacco control policy. The introduction of a smoke-free policy in medical campuses may serve as a role model for other educational and health institutions but little has been published about their prevalence or impact. In 2012, the Faculty of Medicine at Hebrew University–Hadassah in Jerusalem, Israel launched a smoke-free Medical Campus initiative. This study examined smoking behaviours, cigarette smoke exposure and attitudes towards the smoke-free campus policy among students and employees.

Methods

Using a self-administered questionnaire, data was collected from medical, dental and pharmacy students, as well as employees of the school of pharmacy. We approached the entire target population in 2013 (N = 449), with a response rate of 72.5 % (N = 313).

Results

The rate of smoking was 8.3 % (95 % CI 5.5–11.9 %). Most participants reported daily exposure or exposure several times a week to cigarette smoke (65.8 %). Overall, 98.0 % had reported seeing people smoke in open campus areas and 27.2 % indoors. Most participants supported the smoking ban inside buildings (94.2 %) but fewer supported (40.8 %) a complete ban of smoking throughout the campus, including outside areas. Only 18.4 % agreed that a policy prohibiting smoking was unfair to smokers. A multivariable analysis showed that support for a complete ban on smoking on campus was higher among non-smokers than for smokers (OR = 9.5, 95 % CI 2.2–31.5, p = 0.02).

Conclusions

The smoke-free policy does not have total compliance, despite the strong support among both students and employees for a smoke-free medical campus. The data collected will assist policy makers move towards a total smoke-free medical campus and will aid tobacco control efforts in Israel and other countries.

A cross sectional evaluation of a total smoking ban at a large Australian university

BACKGROUND

Total smoking bans have been found to contribute positively to the health of non-smokers by reducing exposure to second-hand smoke, and to enhance the likelihood of cessation among smokers.

METHODS

Two cross-sectional electronic surveys of staff and students at a large Australian university were conducted prior (n = 969) and 1 year post (n = 670) the implementation of a smoke free campus policy. Demographics, tobacco use, intention to quit, attitudes towards smoking and smoking restrictions and awareness of and attitudes towards the campus smoking policy were measured.

RESULTS

Exposure to second-hand smoke (SHS) reduced significantly (p < 0.001) one year after policy implementation. Smoking prevalence was similar at both time periods (T1 9.3 %; T2 8.4 %) and over half of smokers indicated they were planning to quit smoking in the future (T1 65.5 vs T2 62.3 %). There was a significant increase in positive responses to the statement the campus should be totally smoke free including all outdoor areas at T2 compared to T1 (T1 60.8 vs T2 71.4 %; p < 0.001), however respondents felt there should be places on campus for smokers to smoke (T1 53.6 vs T2 47 %; p < 0.05).

CONCLUSIONS

This study found a significant positive difference in exposure SHS after implementation of the total ban. Although prevalence of smoking in this study was low, the proportion of respondents who were contemplating smoking cessation suggests support for smokers would be beneficial. Continued awareness raising, education and enforcement is likely to enhance the long term outcomes of the total ban.

Tobacco smoking: From 'glamour' to 'stigma'. A comprehensive review

In this narrative review, we explore the history of tobacco smoking, its associations and portrayal of its use with luxury and glamour in the past, and intriguingly, its subsequent transformation into a mass consumption industrialized product encouraged by advertising and film. Then, we describe the next phase where tobacco in parts of the world has become an unwanted product. However, the number of smokers is still increasing, especially in new markets, and increasingly younger individuals are being attracted to it, despite the well-known health consequences of tobacco use. We also explore current smoking behaviors, looking at trends in the prevalence of consumption throughout the world, discrimination against smokers, light and/or intermittent smokers, and the electronic cigarette (e-cigarette). We place these changes in the context of neuroscience, which may help explain why the cognitive effects of smoking can be important reinforcers for its consumption despite strong anti-smoking pressure in Western countries.

Smoke-Free Workplaces Are Associated with Protection from Second-Hand Smoke at Homes in Nigeria: Evidence for Population-Level Decisions

The evidence suggests that smoke-free workplace policies may change social norms towards exposing others to second-hand smoke at home. The aim of the study was to assess whether being employed in a smoke-free workplace (SFWP) is associated with living in a smoke-free home (SFH). We used the data from the Global Adult Tobacco Survey conducted in Nigeria in 2012, in which 9,765 individuals were interviewed including 1,856 persons who worked indoors. The percentage of Nigerians employed in SFWP that reported living in a SFH was higher compared to those employed in a workplace where smoking occurred (95% versus 73%). Working in a SFWP was associated with a significantly higher likelihood of living in a SFH (OR = 5.3; p < 0.001). Urban inhabitants indicated more frequently that they lived in SFH compared to rural residents (OR = 2.0; p = 0.006). The odds of living in a SFH were significantly higher among nonsmokers and nonsmokeless tobacco users compared to smokers and smokeless tobacco users (OR = 28.8; p < 0.001; OR = 7.0; p < 0.001). These findings support the need for implementation of comprehensive smoke-free policies in Nigeria that result in substantial health benefits.

Do changes in neighborhood and household levels of smoking and deprivation result in changes in individual smoking behavior? A large-scale longitudinal study of New Zealand adults

Health behavior takes place within social contexts. In this study, we investigated whether changes in exposure to neighborhood deprivation and smoking prevalence and to household smoking were associated with change in personal smoking behavior. Three waves of biannual data collection (2004-2009) in a New Zealand longitudinal study, the Survey of Family, Income and Employment (SoFIE)-Health, were used, with 13,815 adults (persons aged ≥15 years) contributing to the analyses. Smoking status was dichotomized as current smoking versus never/ex-smoking. Fixed-effects regression analyses removed time-invariant confounding and adjusted for time-varying covariates (neighborhood smoking prevalence and deprivation, household smoking, labor force status, income, household tenure, and family status). A between-wave decile increase in neighborhood deprivation was significantly associated with increased odds of smoking (odds ratio (OR) = 1.08, 95% confidence interval (CI): 1.02, 1.14), but a between-wave increase in neighborhood smoking prevalence was not (OR = 1.04, 95% CI: 0.98, 1.10). Changing household exposures between waves to live with another smoker (compared with a nonsmoker (referent)) increased the odds of smoking (OR = 2.48, 95% CI: 1.84, 3.34), as did changing to living in a sole-adult household (OR = 1.52, 95% CI: 1.07, 2.14). Tobacco control policies and programs should address the broader household and neighborhood circumstances within which individual smoking takes place.

Tobacco Use Among Healthcare Workers: Impact of a Worksite Policy Change at a US Military Community Hospital

Introductions:Healthcare workers use less tobacco than other working populations. In contrast, US military members use more tobacco than civilians. Military healthcare workers, therefore, represent a unique group with regard to occupational factors that may influence tobacco use.

Aims/Methods:Records of workers at a military community hospital were reviewed to describe tobacco use. An anonymous survey assessed impressions of a worksite policy change that prohibited tobacco use anywhere on hospital grounds.

Results:Hospital staff included 2,074 professionals. Tobacco use was significantly associated with male sex and being a military enlisted worker. In fact, 37% of male enlisted members used tobacco; fewer than 10% of all other workers used tobacco. Among 232 survey respondents, 61% agreed with tobacco-restrictive worksite policies, but only 33% thought policies were effective. Nearly one-third of tobacco users reported decreasing use in the past year. In multivariable modelling, changing habits in response to worksite policy was the only factor significantly associated with decreased tobacco use.

Conclusions:Tobacco use among US military healthcare workers varies markedly by demographic characteristics. Male, military enlisted workers use tobacco at very high rates, paralleling the troops they serve. Implementation of tobacco-restrictive worksite policies is associated with decreased tobacco use in this population.

Effect of Uruguay's National 100% Smokefree Law on Emergency Visits for Bronchospasm

INTRODUCTION

Implementation of smokefree laws is followed by drops in hospital admissions for cardiovascular diseases and asthma. The impact of smokefree laws on use of non-hospital medical services has not been assessed. The purpose of this study is to evaluate the impact of Uruguay's national 100% smokefree legislation on non-hospital emergency care visits, hospitalizations for bronchospasm, and bronchodilator use.

METHODS

The monthly number of non-hospital emergency care visits and hospitalizations for bronchospasm, as well as monthly puffs of bronchodilators (total and per person), from 3 years prior to the adoption of the 100% smokefree policy on March 1, 2006, through 5 years after the policy were assessed using interrupted time series negative binomial regression. Data analysis was conducted in 2014.

RESULTS

The incidence of non-hospital emergency visits for bronchospasm decreased by 15% (incidence rate ratio [IRR]=0.85, 95% CI=0.76, 0.94) following implementation of the law. Hospitalizations for bronchospasm did not change significantly (IRR=0.89, 95% CI=0.66, 1.21). Total monthly puffs of salbutamol and ipratropium administered in the non-hospital emergency setting decreased by 224 (95% CI=-372, -76) and 179 (95% CI=-340, -18.6), respectively, from means of 1,222 and 1,007 before the law.

CONCLUSIONS

Uruguay's 100% smokefree law was followed by fewer emergency visits for bronchospasm and less need for treatment, supporting adoption of such policies in low- and middle-income countries to reduce the disease burden and healthcare costs associated with smoking.

Motivations toward smoking cessation, reasons for relapse, and modes of quitting: results from a qualitative study among former and current smokers

BACKGROUND

Smoking cessation plays a crucial role in reducing preventable morbidity and mortality and is a recognized public-health-policy issue in many countries. Two of the most important factors that affect the efficacy of quitting smoking are motivation and the ability to cope with situations causing relapse.

AIM

The objective of the study reported here was to investigate former and current smokers' motivations for smoking cessation, reasons for relapse, and modes of quitting.

METHODS

We arranged four focus groups with 24 participants (twelve current and twelve former smokers) and eleven semi-structured interviews (five current and six former smokers) with a view to understanding and categorizing their opinions on motivations and the course and process of smoking cessation. The data were next analyzed using descriptive qualitative methods.

RESULTS

THREE MAIN THEMES WERE IDENTIFIED: (1) motivations to quit smoking, (2) reasons why smokers sometimes relapse, and (3) modes of quitting smoking. Within the first theme, the following six subthemes surfaced: (1) a smoking ban at home and at work due to other people's wishes and rules, (2) the high cost of cigarettes, (3) the unpleasant smell, (4) health concern, (5) pregnancy and breastfeeding, and (6) a variety of other factors. The second theme encompassed the following subthemes: (1) stress and the need to lessen it by smoking a cigarette, (2) the need to experience the pleasure connected with smoking, and (3) the smoking environment both at home and at work. Participants presented different smoking-cessation modes, but mainly they were unplanned attempts.

CONCLUSION

Two very important motivations for smoking cessation were a smoking ban at home and at work due to other people's wishes and rules, and the high cost of cigarettes. The most common smoking-cessation mode was a spontaneous decision to quit, caused by a particular trigger factor. Relapse causes encompassed, most notably: stress, lack of the pleasure previously obtained from smoking, and the smoking environment.

Assessment of the smoke-free outdoor regulation in the WHO European Region

OBJECTIVE

The aim of this study is to assess the level of protection of secondhand smoke in outdoor locations among countries belonging to the WHO European Region.

METHOD

This cross-sectional study measures the level of protection provided by laws in outdoor locations. A protocol to evaluate the outdoor smoke-free legislation was developed according to the recommendations provided by the WHO Guidelines for implementing smoke-free outdoor places. For each law 6 main sectors and 28 outdoor locations were evaluated.

RESULTS

68 laws from 48 countries were reviewed, totally assessing 1758 locations. Overall 3.1% of the locations specified 100% smoke-free outdoor regulation without exceptions, 2.5% permitted smoking in designated outdoor areas, 37.5% allowed smoking everywhere, and 56.9% did not provide information about how to deal with smoking in outdoor places. In the Education sector 17.8% of the laws specified smoke-free outdoor regulation, mainly in the primary and secondary schools. Three pioneering laws from recreational locations and two from general health facilities specified 100% outdoor smoke-free regulation.

CONCLUSION

Outdoor smoke-free policies among countries belonging to the WHO European Region are limited and mainly have been passed in the primary and secondary schools, which protect minors from the hazards of secondhand smoke in educational settings.