Nondaily smokers: who are they?

Smoking Cessation Smartphone App for Nondaily Smoking With Telephone Onboarding: Proof-of-Concept Randomized Controlled Trial

BACKGROUND

Nondaily smoking is a widespread and increasingly prevalent pattern of use. To date, no effective treatment approach for nondaily smoking has been identified.

OBJECTIVE

This study aimed to conduct an unblinded randomized controlled trial to evaluate proof-of-concept markers of the Smiling instead of Smoking (SiS) app, a smartphone app for smoking cessation, designed specifically for people who smoke less than daily, within the framework of positive psychology.

METHODS

Overall, 226 adults who smoke less than daily were recruited on the web and asked to undertake a quit attempt while using assigned smoking cessation support materials. Participants were randomly assigned to 1 of 3 materials: the SiS smartphone app, the National Cancer Institute's smartphone app QuitGuide (QG), or the National Cancer Institute's smoking cessation brochure, "Clearing the Air" (CtA). All participants engaged in a 15-minute scripted onboarding phone call and were introduced to their support materials to use for the next 7 weeks. Follow-up self-assessment web surveys were sent 2, 6, 12, and 24 weeks after participants' initially chosen quit date (ie, 1 week after onboarding). The primary outcome for this study was self-efficacy to remain abstinent from smoking at treatment end. Secondary outcomes assessed treatment acceptability, treatment feasibility (eg, number of days of app use, time spent using app, and use of smoking cessation strategies), and secondary proof-of-concept efficacy outcomes (eg, positive affect, craving, and attitudes toward smoking). Smoking outcomes (ie, 30-day point prevalence abstinence and smoking reduction) were also assessed.

RESULTS

Results indicated a significant effect of treatment on the primary outcome, where SiS participants (n=80) reported higher self-efficacy to abstain from smoking at the end of treatment than the 2 control groups (QG: n=75; P=.02; Cohen d=0.40 and CtA: n=71; P=.007; Cohen d=0.50). This effect was also significant on both self-efficacy subscales (ie, internal cues and external cues) with effect sizes ranging from Cohen d=0.34 to 0.50 across the pairwise comparisons. The SiS app group also reported lower craving (QG: P=.005; Cohen d=-0.57 and CtA: P=.005; Cohen d=-0.57) and higher positive affect than QG (QG: P=.01; Cohen d=0.44 and CtA: P=.05; Cohen d=0.38); attitudes toward smoking were largely similar across groups. Treatment acceptability was comparable across groups (P values for all groups >.05; Cohen d range 0.06-0.23). Treatment feasibility measures indicated that participants used the SiS app on 33 out of 49 days, for 35 to 40 minutes per week, resulting in greater use of smoking cessation strategies than QG (QG: P=.04; Cohen d=0.38 and CtA: P=.16; Cohen d=0.24).

CONCLUSIONS

These findings provide strong evidence for the conceptual underpinnings of the SiS app, and thereby provide compelling justification for conducting a large-scale randomized controlled trial that can test the effectiveness of the SiS app on smoking cessation.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04672239; https://clinicaltrials.gov/study/NCT04672239.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/40867.

Social smoker identity and associations with smoking and quitting behaviour: A cross-sectional study in England

BACKGROUND

'Social smoking' typically occurs predominantly or exclusively in the presence of others who are smoking. Relatively little is known about changes in the prevalence of 'social smoking identity' over time and its association with other smoking-related correlates.

METHODS

Data were from the Smoking Toolkit Study, a nationally-representative cross-sectional survey in England. Participants were 26,774 adults who currently smoked or had quit in the past year, surveyed between February-2014 and April-2021. We estimated the proportion identifying as having a social smoking identity, changes over time, and associations with smoking in social situations, cigarette dependence, motivation to stop, quit attempts and success.

RESULTS

Of adults who currently smoked or had quit in the past year, 34.0% (95% Confidence Interval (CI)=33.5-34.6) identified as having a social smoking identity. There was a near linear increase in this proportion from 31.9% (95%CI=29.7-34.2) in February-2014 to 36.5% (95%CI=34.1-38.9) in April-2021. Adults who currenty smoked identifying as having a social smoking identity were less cigarette dependent (adjusted B=0.34, 95%CI=0.31-0.37) and more motivated to stop (aOR=1.20, 95%CI=1.15-1.26) than those who did not. Adults who currently smoked or had quit in the past year identifying as having a social smoking identity reported more smoking in social situations (aOR=6.45, 95%CI=6.13-6.80) and past-year quit attempts (aOR=1.22, 95%CI=1.14-1.30) than those who did not. Quit success was not associated with having a social smoking identity among adults who currently smoked or had quit in the past year and who had attempted to quit (aOR=0.90, 95%CI=0.79-1.02).

CONCLUSIONS

An increasing proportion, over a third, of adults who currently smoked or had quit in the past year in England identify as having a social smoking identity. Despite being associated with lower dependence, greater motivation to quit and more quit attempts, social smoking identity is not associated with greater quit success, suggesting a complex interplay between identity and smoking-related behaviours.

Heaviness of smoking index in menthol and non-menthol smokers

BACKGROUND

It has been hypothesized that menthol in cigarettes increases dependence. Several studies suggest that menthol and non-menthol smokers have similar or lower levels of dependence, but those studies are not without limitations. The Heaviness of Smoking Index (HSI) is a widely accepted, validated measure of cigarette dependence.

OBJECTIVES

This report aims to provide further evidence regarding dependence among menthol and non-menthol smokers, as indicated by daily smoking and as measured by the HSI.

METHODS

Survey data from 27,131 adult smokers were analyzed to compare the percent of menthol and non-menthol smokers who are daily smokers, and the percentage who are low or high HSI dependence. Logistic regressions were also conducted to determine if menthol use predicts daily smoking, and low or high dependence after controlling for demographic differences.

RESULTS

Comparisons among weighted samples of adult smokers demonstrate that menthol smokers were consistently more likely to be non-daily smokers, more likely to be in the low dependence category, and less likely to be in the high dependence category on the HSI as compared to non-menthol smokers. Logistic regression confirmed that when controlling for age, gender, race/ethnicity, and education, relative to non-menthol smokers, menthol smokers had no difference in odds of being in the low dependence HSI category and significantly lower odds of being a daily smoker, and of being in the high dependence category.

CONCLUSIONS

These analyses support the conclusion that, based on the HSI, menthol smokers are not more cigarette dependent than non-menthol smokers, and may be less dependent.

Testing the Outcomes of a Smoking Cessation Smartphone App for Nondaily Smokers: Protocol for a Proof-of-concept Randomized Controlled Trial

BACKGROUND

Nondaily smoking is a widespread, increasingly prevalent pattern of smoking, particularly in ethnic minority and vulnerable populations. To date, no effective treatment approach for this type of smokers has been identified.

OBJECTIVE

This study aims to use a randomized controlled trial to evaluate proof-of-concept markers of the Smiling instead of Smoking (SiS) app, a smoking cessation smartphone app designed specifically for nondaily smokers. This app was developed iteratively and is now in its third version. Previous studies have demonstrated acceptability and feasibility when participants were onboarded in person (study 1) and remotely (study 2) and showed within-person changes in line with hypothesized mechanisms of change. This is the first randomized test of this app.

METHODS

In total, 225 adult nondaily smokers will be asked to undertake a quit attempt while using smoking cessation support materials for a period of 7 weeks. Participants will be randomized to use the SiS smartphone app, the National Cancer Institute smartphone app QuitGuide, or the National Cancer Institute smoking cessation brochure "Clearing the Air." Participants will take part in a 15-minute scripted onboarding phone call during which study staff will introduce participants to their support materials. Survey links will be sent 2, 6, 12, and 24 weeks after the participants' initially chosen quit date. The primary outcome is self-efficacy to remain abstinent from smoking at treatment end, measured using the Smoking Self-Efficacy Questionnaire. Secondary outcomes cover several domains relevant to treatment development and implementation: treatment acceptability (eg, satisfaction with smoking cessation support, measured using the Client Satisfaction Questionnaire, and app usability, measured using the System Usability Scale); treatment feasibility (eg, measured using the number of days participants used the SiS or QuitGuide app during the prescribed treatment period); and, in an exploratory way, treatment efficacy assessed using self-reported 30-day point prevalence abstinence.

RESULTS

Recruitment began in January 2021 and ended June 2022. The final 24-week follow-up was completed in January 2023. This trial is funded by the American Cancer Society.

CONCLUSIONS

This study is designed to test whether the prescribed use of the SiS app results in greater self-efficacy to abstain from smoking in nondaily smokers than commonly recommended alternative treatments and whether the SiS app treatment is acceptable and feasible. Positive results will mean that the SiS app warrants testing in a large-scale randomized controlled trial to test its effectiveness in supporting smoking cessation in nondaily smokers. The design of this study also provides insights into issues pertinent to smoking cessation smartphone app treatment development and implementation by measuring, in a randomized design, markers of treatment satisfaction, engagement with the technology and content of the treatment, and adherence to the treatment plan.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04672239; https://clinicaltrials.gov/ct2/show/NCT04672239.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/40867.

Racial/ethnic and gender differences in smoking in early middle adulthood

Research has documented important differences in smoking rates across race/ethnicity, gender, and age. Much of the research has either focused on smoking initiation among adolescents or cessation among adults, but little is known about racial/ethnic patterns in intermittent and daily smoking across young and early middle adulthood. We therefore use the life course perspective to identify how racial/ethnic and gender differences in smoking unfold across adulthood. Analyses investigate whether racial/ethnic and gender differences exist in the likelihood of daily smoking in early middle adulthood and whether these disparities persist after the inclusion of adolescent and early midlife sociodemographic characteristics and young adult smoking patterns. Descriptive statistics and multivariate binary logistic regression analyses employ recent data from a nationally representative sample of adults using the National Longitudinal Study of Adolescent to Adult Health (Add Health; N = 8,506). We find evidence that life course patterns of smoking differ across race/ethnicity and gender subgroups. In early middle adulthood (ages 33-44), White women are more likely to smoke daily than Black or Hispanic women. In contrast, there are no significant differences between White and Black men, but White men are more likely to smoke daily than Hispanic men. These racial/ethnic differences are no longer significant for men when previous smoking is controlled, suggesting that early young adult smoking plays an important role in the development of smoking disparities across race/ethnicity. Further, we find that young adult intermittent smoking is associated with daily smoking in early midlife, and this relationship is stronger for Black, compared to White, men and women. Although Black women display lower odds of daily smoking in early midlife compared to White women, they exhibit a higher risk of transitioning from intermittent to daily smoking. These results highlight the importance of considering a greater diversity of life course patterns in smoking across race/ethnicity and gender in future research and policies.

Hypothesized Explanations for the Observed Lung Cancer Survival Benefit Among Hispanics/Latinos in the United States

Hispanic/Latino ethnicity is associated with improved survival from non-small cell lung cancer compared to that for non-Hispanic Whites even though Hispanics/Latinos are more likely to potentially have inferior access-to-care and experience greater health disparities. To this end, we conducted a literature review to identify possible explanations for this survival benefit, including the role of chronic obstructive pulmonary disease and cardiovascular diseases, genetic variation, cultural influences, and immigration factors. Overall, intermittent smoking patterns, genetic variation, co-morbidities, and cultural influences were all factors likely to partially explain this survival benefit. On the other hand, immigration factors, acculturation, and access-to-care were less likely to support the survival advantage. Future research should analyze relevant Hispanic/Latino subgroups (e.g., Mexican, Puerto Rican, Cuban, Dominican, Central American, South American) and specifically focus on the relationship between Hispanic/Latino ethnicity and different lung cancer subtypes. If the Hispanic/Latino mortality benefit observed in lung cancer truly exists, a better understanding of the underlying mechanism(s) may help extend these benefits to other ethnic and racial groups.

Feature-level analysis of a smoking cessation smartphone app that uses a positive psychology approach (Preprint)

Background

Smoking cessation smartphone apps have emerged as highly accessible tools to support smoking cessation efforts. It is unknown how specific app features contribute to user engagement over time and relate to smoking outcomes.

Objective

To provide a feature-level analysis of the Smiling Instead of Smoking app (version 2) and to link feature use to subsequent smoking cessation.

Methods

Nondaily smokers (N=100) used the app for a period of 49 days (1 week before quitting and 6 weeks after quitting). Participants self-reported 30-day point-prevalence abstinence at the end of this period and at a 6-month follow up (the survey response rate was 94% and 89% at these points, respectively). Self-reported 30-day point prevalence abstinence rates were 40% at the end of treatment and 56% at the 6-month follow up. The app engaged users in both positive psychology content and traditional behavioral smoking cessation content. The app sent push notifications to prompt participants to complete prescribed content (ie, a “happiness exercise” every day and a “behavioral challenge” to use the app’s smoking cessation tools on 15 out of 49 days). Actions that participants took within the app were timestamped and recorded.

Results

Participants used the app on 24.7 (SD 13.8) days out of the 49 prescribed days, interacting with the happiness content on more days than the smoking content (23.8, SD 13.8 days vs 17.8, SD 10.3 days; t₉₉=9.28 [2-tailed]; P<.001). The prescribed content was frequently completed (45% of happiness exercises; 57% of behavioral challenges) and ad libitum tools were used on ≤7 days. Most participants used each ad libitum smoking cessation tool at least once, with higher use of personalized content (≥92% used “strategies,” “cigarette log,” “smoke alarms,” and “personal reasons”) than purely didactic content (79% viewed “benefits of quitting smoking”). The number of days participants used the app significantly predicted 30-day point-prevalence abstinence at the end of treatment (odds ratio [OR] 1.05, 95% CI 1.02-1.09; P=.002) and at the 6-month follow up (OR 1.04, 95% CI 1.008-1.07; P=.01). The number of days participants engaged with the happiness content significantly predicted smoking abstinence at the end of treatment (OR 1.05, 95% CI 1.02-1.08; P=.002) and at the 6-month follow up (OR 1.04, 95% CI 1.007-1.07; P=.02). This effect was not significant for the number of days participants engaged with the smoking cessation content of the app, either at the end of treatment (OR 1.04, 95% CI 0.996-1.08, P=.08) or at the 6-month follow up (OR 1.02, 95% CI 0.98-1.06; P=.29).

Conclusions

Greater app usage predicted greater odds of self-reported 30-day point-prevalence abstinence at both the end of treatment and over the long term, suggesting that the app had a therapeutic benefit. Positive psychology content and prescriptive clarity may promote sustained app engagement over time.

Trial Registration

ClinicalTrials.gov NCT03951766; https://clinicaltrials.gov/ct2/show/NCT03951766

Cigarettes smoked among daily and non-daily smokers following CVS Health's tobacco-free pharmacy policy

INTRODUCTION

In September 2014, CVS Health ceased tobacco sales in all of its 7700 pharmacies nationwide. We investigate the impact of the CVS policy on the number of cigarettes smoked per day among metropolitan daily and non-daily smokers, who may respond to the availability of smoking cues in different manners.

METHODS

Data are from the US Census Bureau Tobacco Use Supplement to the Current Population Survey 2014-2015 and the Blue Cross and Blue Shield Institute Community Health Management Hub. Adjusted difference-in-difference (DID) regressions assess changes in the number of cigarettes smoked per day among daily smokers (n=10 759) and non-daily smokers (n=3055), modelling core-based statistical area (CBSA) level CVS pharmacy market share continuously. To assess whether the policy had non-linear effects across the distribution of CVS market share, we also examine market share using tertiles.

RESULTS

CVS's tobacco-free pharmacy policy was associated with a significant reduction in the number of cigarettes smoked by non-daily smokers in the continuous DID (rate ratio=0.985, p=0.022), with a larger reduction observed among non-daily smokers in CBSAs in the highest third of CVS market share compared with those living in CBSAs with no CVS presence (rate ratio=0.706, p=0.027). The policy, however, was not significantly associated with differential changes in the number of cigarettes by daily smokers.

CONCLUSION

The removal of tobacco products from CVS pharmacies was associated with a reduction in the number of cigarettes smoked per day among non-daily smokers in metropolitan CBSAs, particularly those in which CVS had a large pharmacy market share.

Intersectionality of serious psychological distress, cigarette smoking, and substance use disorders in the United States: 2008-2018

BACKGROUND

Serious psychological distress (SPD) is common among adults who smoke cigarettes and among adults with substance use disorders (SUD). It is unknown whether the burden of SPD is even greater among individuals with both cigarette smoking and SUDs. This study examined the intersectionality of SPD, cigarette smoking, and SUD over time.

METHODS

Data came from annual, cross-sectional, nationally representative samples of the United States (US) National Survey on Drug Use and Health (individuals age 12+). Past-month SPD prevalences were estimated each year from 2008 to 2018 for adults age 18+ with current daily, current non-daily, former, and never cigarette smoking by SUD status (combined n = 441,286). Logistic regression models examined linear time trends of SPD.

RESULTS

In 2018, SPD was significantly more prevalent among adults in each smoking group with SUD versus those without SUD (daily 29.1% vs. 9.0%, non-daily 23.2% vs. 8.6%, former 19.5% vs. 3.2%, never 16.4% vs. 4.3%). After adjusting for sociodemographics, SPD prevalence increased over time across smoking statuses with a larger change for persons with SUD (AOR=1.07; 95% CI: 1.06, 1.09) vs. no SUD (AOR=1.03; 95% CI: 1.02. 1.04).

CONCLUSIONS

SPD was more than twice as common among adults with SUD who smoke cigarettes compared to those without SUD who do not smoke cigarettes, with the highest prevalence among adults with both SUD and daily smoking. While SPD has increased over time, differences depended on SUD status beyond the effect of cigarette smoking. These results provide further evidence for treating smoking and mental health problems together.

A comparison of tobacco product prevalence by different frequency of use thresholds across three US surveys

BACKGROUND

With the increasing changes in tobacco use patterns, "current use" definition and the survey used may have important implications for monitoring population use trends.

METHODS

Using three US surveys (2014/15 TUS-CPS, NHIS and PATH), we compared the adult (age 18+) prevalence of four product groups (cigarettes, other combustibles, smokeless tobacco, and e-cigarettes) based on three past 30-day frequency of use thresholds: 1+, 10+, and 25+ days. We also examined mutually exclusive single, dual, and polytobacco users as a percentage of total users for each product group.

RESULTS

Regardless of threshold or product, the prevalence was higher in PATH followed by NHIS and TUS-CPS, in some cases by large percentages. The differences in cigarette and smokeless tobacco use prevalence in going from the 1+ to 10+ days and to the 25+ days threshold were minimal. Applying different frequency thresholds had the largest impact on other combustibles prevalence, with a 60% reduction with the 10+ days threshold and a 80% reduction with the 25+ days threshold, compared to the 1+ days threshold, followed by e-cigarettes with 40 and 60% reductions, respectively. The proportion of dual and polytobacco users decreased considerably when using the 10+ vs. the 1+ days threshold and polytobacco use was almost non-existent with the 25+ days threshold.

CONCLUSION

The estimated prevalence of each tobacco product use depends largely on the survey and frequency of use threshold adopted. The choice of survey and frequency threshold merits serious consideration when monitoring patterns of tobacco use.

Efectos de algunas señales visuales y olfativas sobre el consumo de cigarrillo y el ansia para fumar

Las señales inductoras para el consumo (SIC) son uno de los factores que inciden en que un fumador encienda, o no, el próximo cigarrillo. Las SIC impactan más a los fumadores no dependientes de la nicotina (FND) que a los fumadores dependientes (FD). Los FND no son dependientes de la nicotina y sus niveles de monóxido de carbono tienden a ser más bajos. Los FD muestran niveles de nicotina y monóxido de carbono más altos (dependientes). Este estudio evaluó el nivel de ansia de los individuos frente a imágenes relacionadas con el producto (cigarrillos y cajetilla de cigarrillos) y si existen diferencias entre inductores visuales y olfativos en relación con el consumo de cigarrillo. Los FD muestran niveles de nicotina y monóxido de carbono más altos. Los participantes mostraron mayor ansia ante las imágenes que presentaban cigarrillos saliendo de la cajetilla. No se hallaron diferencias entre inductores visuales y olfativos en relación con el consumo de cigarrillo. No obstante, la ocurrencia de fumar fue mayor en FD que en FND. Por eso, es importante clasificar el tipo de fumador en futuras investigaciones que pretendan evaluar esta población. 

Association of Smoking and Smoking Cessation With Overall and Cause-Specific Mortality

INTRODUCTION

Smoking remains a strong risk factor for premature death. This study examines the associations of nondaily smoking, daily smoking, and smoking cessation with the risks of mortality from all causes, cardiovascular disease, and cancer.

METHODS

This study used data from the National Health and Nutrition Examination Survey, a population-based, cross-sectional study. Data analysis was conducted in the U.S. from January to October 2020. Cox proportional hazard regression models were used to obtain adjusted hazard ratios.

RESULTS

During 255,100 person-years of follow-up, 2,008 participants died (347 from cardiovascular diseases and 501 from cancer). A significant increase in the risk of all-cause mortality was observed for nondaily smokers (hazard ratio=1.50, 95% CI=1.08, 2.08) compared with that for those who had never smoked. For daily smokers, the adjusted hazard ratios for all-cause mortality were 1.54 (95% CI=1.24, 1.90) for those smoking <20 cigarettes per day, 2.09 (95% CI=1.65, 2.63) for those smoking 20-40 cigarettes per day, and 2.78 (95% CI=1.75, 4.43) for those smoking ≥40 cigarettes per day. An increased risk of cardiovascular disease and cancer mortality was also observed for daily smokers. Former smokers with ≥5 years since cessation had a lower risk of all-cause mortality than current smokers.

CONCLUSIONS

This study suggests that nondaily smokers have a higher risk of all-cause mortality. The association of daily smoking with the risk of mortality increased as the number of cigarettes smoked per day increased. Among former smokers, the risk decreased with longer cessation. Tobacco control efforts should be targeted not only toward daily smokers but also toward nondaily smokers to reduce the risk of premature death owing to smoking.

Trends in Social Norms Towards Smoking Between 2002 and 2015 Among Daily Smokers: Findings From the International Tobacco Control Four Country Survey (ITC 4C)

OBJECTIVE

To assess trends in daily smokers' social norms and opinions of smoking between 2002 and 2015 in Canada, the United States, the United Kingdom, and Australia.

METHOD

Data were from wave 1 (2002) to wave 9 (2013-2015) of the longitudinal International Tobacco Control Four Country Survey (Canada, the United States, the United Kingdom, Australia), involving 23 831 adult daily smokers. Generalized estimating equation logistic regression models, adjusted for demographics and survey design effects, assessed associations of wave and country with outcomes: (A) over half of five closest friends smoke, (B) agreeing that people important to you believe you should not smoke, (C) agreeing that society disapproves of smoking, and (D) negative opinion of smoking.

RESULTS

Between 2002 and 2015, adjusting for covariates, (A) over half of five closest friends smoke did not change (56% vs. 55%; adjusted odds ratio [AOR] = 0.95 [95% Confidence Interval = 0.85-1.07]), (B) agreeing that people important to you believe you should not smoke generally decreased (89% vs. 82%; AOR = 0.54 [0.46-0.64]) despite an increase around 2006-2007, (C) agreeing that society disapproves of smoking increased between 2002 and 2006-2007 (83% vs. 87%; AOR = 1.38 [1.24-1.54]) then decreased until 2013-2015 (78%; AOR = 0.74 [0.63-0.88]), and (D) negative opinion of smoking decreased between 2002 and 2010-2011 (54% vs. 49%; AOR = 0.83 [0.75-0.91]) despite an increase around 2005-2006 and at the final wave (2013-2015). Except friend smoking, Canada had the greatest, and the United Kingdom the lowest, antismoking social norms and opinions.

CONCLUSIONS

Except friend smoking and opinion of smoking, daily smokers' social norms became less antismoking between 2002 and 2015 despite increases around 2006-2007. Several potential explanations are discussed yet remain undetermined.

IMPLICATIONS

Increasingly comprehensive tobacco control policies alongside decreasing smoking prevalence in Canada, the United States, the United Kingdom, and Australia have led to the assumption that smoking has become denormalized in these countries. Absent from the literature is any formal assessment of social norms towards smoking over time. Contrary to our hypotheses, this study found that the injunctive social norms of daily smokers became less antismoking between 2002 and 2015, despite increases around 2006-2007. There was no change over time in the proportion of daily smokers who report that over half of their five closest friends smoke.

Changes in Smoking and Vaping over 18 Months among Smokers and Recent Ex-Smokers: Longitudinal Findings from the 2016 and 2018 ITC Four Country Smoking and Vaping Surveys

This descriptive study of smokers (smoked at least monthly) and recent ex-smokers (quit for ≤2 years) examined transitions over an 18 month period in their smoking and vaping behaviors. Data are from Waves 1 (W1: 2016) and 2 (W2: 2018) of the ITC Four Country Smoking and Vaping Survey, a cohort study of adult (≥18+) smokers, concurrent users (smoke and vape), and recent ex-smokers from Australia, Canada, England, and the United States (US). Respondents (N = 5016) were classified according to their smoking and vaping status, which resulted in eight subgroups: (1) exclusive daily smokers (2) exclusive non-daily smokers; (3–6) concurrent users (subdivided into four groups by each combination of daily/non-daily smoking and daily/non-daily vaping); (7) ex-smokers who vape; (8) ex-smokers not vaping. The analyses focused first on describing changes between groups from W1 to W2. Second, transition outcomes were assessed based on changes in smoking and vaping between W1 and W2. Transitions focused on smoking were: no change in smoking (continued smoking at the same frequency); decreased smoking; increased smoking; discontinued smoking; relapsed (ex-smokers at W1 who were smoking at W2). Transitions focused on vaping were: initiated vaping; switched from smoking to vaping. Overall, this study found that the vast majority of smokers were smoking 18 months later. Non-daily smokers were more likely than daily smokers to have discontinued smoking (p < 0.0001) and to have switched to exclusive vaping (p = 0.034). Exclusive non-daily smokers were more likely than exclusive daily smokers to have initiated vaping (p = 0.04). Among all W1 daily smokers, there were no differences in discontinued smoking between daily smokers who vaped (concurrent users) and exclusive daily smokers; however, concurrent users were more likely than exclusive daily smokers to have decreased to non-daily smoking (p < 0.001) or to have switched to vaping by W2 (p < 0.001). Among all W1 non-daily smokers, there were no significant differences in increased smoking or discontinued smoking between concurrent users or exclusive smokers. Most ex-smokers remained abstinent from smoking, and there was no difference in relapse back to smoking between those who vaped and those who did not.

A longitudinal analysis of nondaily smokers: the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

PURPOSE

Nondaily smoking is increasing in the United States and common among Hispanic/Latino smokers. We characterized factors related to longitudinal smoking transitions in Hispanic/Latino nondaily smokers.

METHODS

The Hispanic Community Health Study/Study of Latinos is a population-based cohort study of Hispanics/Latinos aged 18-74 years. Multinomial logistic regression assessed the baseline factors (2008-2011) associated with follow-up smoking status (2014-2017) in nondaily smokers (n = 573), accounting for complex survey design.

RESULTS

After ∼6 years, 41% of nondaily smokers became former smokers, 22% became daily smokers, and 37% remained nondaily smokers. Factors related to follow-up smoking status were number of days smoked in the previous month, household smokers, education, income, and insurance. Those smoking 16 or more of the last 30 days had increased risk of becoming a daily smoker [vs. < 4 days; relative risk ratio (RRR) = 5.65, 95% confidence interval (95% CI) = 1.96-16.33]. Greater education was inversely associated with transitioning to daily smoking [>high school vs. <ninth grade: RRR (95% CI) = 0.30 (0.09-0.95)]. Living with smokers was associated with decreased likelihood of quitting [RRR (95% CI) = 0.45 (0.24-0.86)]. Having insurance was associated with quitting [RRR (95% CI) = 2.11 (1.18-3.76)] and becoming a daily smoker [RRR (95% CI) = 3.00 (1.39-6.48)].

CONCLUSIONS

Many Hispanic/Latino nondaily smokers became daily smokers, which may increase their risk of adverse health outcomes. Addressing different smoking patterns in primary care may be useful to prevent smoking-related diseases.

Smoking Social Norms Among Young Adults in New York City

More than half of young adult (YA) (ages 18-26) smokers are non-daily smokers. While standard cessation methods are generally successful with adults and daily smokers, there is evidence that they are not as successful among non-daily smokers or young adults. Additionally, YA smokers are also in a transition period to regular smoking, making research on understanding how interpersonal and environmental factors affect this group of smokers critical. Randomized time location sampling was used to create a sample of New York City YA bar patrons between June and November 2013, who completed a self-administered survey (1,916 surveys). Questions were asked about perceived smoking social norms, stigma, behaviors, and demographics. Overall, almost half of the YA reported being current smokers (44.1%); one-third were non-daily smokers (36.7%) and less than ten percent were daily smokers (7.4%). Non-daily smokers compared with daily smokers had greater odds of believing New Yorkers disapproved of smoking [adjusted odds ratio (OR_adj 1.76, 95 % CI 1.10-2.79)], keeping tobacco a secret from certain people (OR_adj 1.84, 1.14-2.96) and feeling guilty when smoking (OR_adj: 2.54; 1.45-4.45). Non-daily smokers had 41% lower odds of reporting how people who are important to you disapproved of smoking than daily smokers (OR_adj: 0.59; 0.38-0.94). Further studies of interpersonal/environmental factors among YA smokers may support modifications to cessation programs that result in more successful YA quit attempts.

Measuring Smoking Prevalence in a Middle Income Nation: An Examination of the 100 Cigarettes Lifetime Screen

Introduction

Public health surveillance of smoking prevalence is essential in gauging the magnitude of the problem, identifying groups most affected, and evaluating polices. However, little attention has focused on how prevalence is measured, particularly in low-and middle-income countries, where smoking patterns may not mirror those in high-income countries and where the burden of tobacco use is rapidly growing. Mexico provides a unique opportunity to gauge how the questions used to define established smokers can affect prevalence estimates. This study assesses how using the 100-cigarette lifetime question to define smoking status affects estimates of smoking prevalence.

Methods

We consider data from four nationally representative surveys in Mexico, from 2002 to 2016. These surveys ask about current smoking even for adults who do not indicate having smoked 100 cigarettes in their lifetime. We compare estimates of daily and nondaily smoking prevalence by age and gender with and without the 100-cigarette screen.

Results

The relative difference in prevalence estimates with and without the screen was greater for nondaily than daily smoking and for females than males. The difference was especially pronounced for nondaily smokers aged 15-24, where there was a 50%-75% relative difference in estimates, albeit smaller discrepancies (20-49% relative difference) were also found among older smokers. In recent years, the relative difference was greatest at lower levels of educational attainment.

Conclusions

With the growth in nondaily smoking, using the 100-cigarettes screen to define smoking status can have important implications regarding size of smoking population. Further research is warranted in other countries.

Tackling smoking among out of school youth in South Africa: An analysis of friendship ties

Background

Friendships during adolescence play a significant role in the initiation and maintenance of tobacco use. Smoking behaviour among adolescent friends has not been explored among out of school youth (OSY) in South Africa. Out of school youth (OSY), described as those between 13 and 20 years old, have not completed their schooling and are not currently enrolled in school, are at greater risk for tobacco use.

Aim

The main aim of this study is to examine whether the smoking behaviour of OSY is associated with that of their OSY friends.

Methods

Respondent driven sampling was used to recruit OSY and their OSY friends. A mixed effects logistic regression with a random intercept across school-province combinations was used to analyse survey data. Race and gender were also incorporated into the analyses as effect moderators (n = 391).

Results

Results of this study confirm that cigarette smoking was common among OSY and their OSY friends, with 53.5% of the respondents smoking in the past month (SD = 0.44). When OSY friends were either all non-smokers or half their friends were non-smokers, Coloured (mixed race) OSY were less likely to smoke compared to Black African and Other (mostly Asian descent) OSY.

Conclusion

Cultural norms and values associated with the different race groups may play a role in the smoking behaviour of out of school youth friends. Understanding this relationship is useful for identifying those OSY that are vulnerable to the behaviours that place them at risk of tobacco related morbidity and mortality.

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Smoking was common among out of school youth and their out of school youth friends.

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Racial differences were found in out of school youth smoking and their friends.

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Cultural norms and values influence smoking behaviour of out of school youth friends.

Infrequent and Frequent Nondaily Smokers and Daily Smokers: Their Characteristics and Other Tobacco Use Patterns

Introduction

The proportion of smokers who do not smoke daily has increased over time, but nondaily smokers are a heterogeneous group. We compare characteristics and other tobacco product use of infrequent nondaily, frequent nondaily, and daily US adult smokers.

Methods

We analyzed data from the 1998, 2000, 2005, and 2010 National Health Interview Surveys. Current smokers were categorized as daily, infrequent nondaily (smoked 1-12 days in the past 30 days), and frequent nondaily (smoked 13-29 days in the past 30 days) smokers. Multinomial logistic regression analysis was used to analyze the correlates of infrequent nondaily, frequent nondaily, and daily smoking.

Results

Among current smokers, 8.3% were infrequent nondaily, 8.1% were frequent nondaily, and 83.6% were daily smokers. The prevalence of infrequent versus daily smoking increased over time, with a smaller increase among non-Hispanic Blacks than non-Hispanic Whites. The adjusted odds of both infrequent and frequent smoking versus daily smoking differed by age, race/ethnicity, education, poverty status, marital status, region, quit attempts in the past 12 months, and binge drinking. Snuff users (vs. non-snuff users) were 2.4 times as likely to be infrequent than daily smokers. There were also differences in race/ethnicity, education, marital status, region, quit attempts, and snuff use between infrequent versus frequent smokers.

Conclusion

Infrequent smokers differ from both frequent and daily smokers in socio-demographics, quit attempts, and snuff use. The heterogeneity of nondaily smokers should be considered in developing targeted tobacco control and smoking cessation programs.

Implications

Infrequent and frequent nondaily smokers were found to differ from daily smokers in age, race/ethnicity, education, poverty status, marital status, region, and quit attempts and they were different from each other in race/ethnicity, education, marital status, region, and quit attempts. Binge drinkers were more likely to be infrequent smokers and frequent smokers versus daily smokers. Current snuff users were found to have increased odds of infrequent smoking versus daily smoking and versus frequent smoking. These results highlight the importance of acknowledging the differences among nondaily smokers in smoking frequency in developing targeted tobacco control and smoking cessation programs.

Racial/ethnic differences in daily, nondaily, and menthol cigarette use and smoking quit ratios in the United States: 2002 to 2016

In the United States (US), racial/ethnic groups differ in cigarette smoking behaviors. We examined changes in cigarette prevalence and quit ratios over 15 years by racial/ethnic group (Non-Hispanic (NH) White, NH Black, Hispanic, NH Other). Data were drawn from the 2002-2016 National Survey on Drug Use and Health (NSDUH) public use data files and analyzed in 2018. Linear time trends of the prevalence of daily, nondaily, and menthol cigarette use and quit ratios (i.e., proportion of former smokers among lifetime smokers) were assessed using logistic regression models. 19.35% of NH White persons were daily smokers in 2016; this prevalence was significantly higher than all other groups (NH Black 10.99%, Hispanic 6.81%, NH Other 9.10%). Menthol use was significantly more common among NH Black individuals than all other groups in every year from 2002 to 2016 (2016: NH Black 23.38%, NH White 14.52%, Hispanic 10.49%, NH Other 8.97%). From 2002 to 2016, daily and nondaily smoking decreased significantly among all groups. The rate of decline of nondaily smoking was more rapid among Hispanic than NH White individuals while the rate of menthol smoking decline was more rapid among NH White than among Hispanic individuals. The quit ratio did not change significantly from 2002 to 2016 among NH Black individuals (31% to 35%) in contrast to a significant increase among NH White (2002, 45%; 2016, 50%) and Hispanic (2002, 33%; 2016, 41%) individuals. Further progress in tobacco control for vulnerable groups may need to include innovative strategies to address these concerning trends.

Genome-Wide Association Study of Heavy Smoking and Daily/Nondaily Smoking in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

Introduction

Genetic variants associated with nicotine dependence have previously been identified, primarily in European-ancestry populations. No genome-wide association studies (GWAS) have been reported for smoking behaviors in Hispanics/Latinos in the United States and Latin America, who are of mixed ancestry with European, African, and American Indigenous components.

Methods

We examined genetic associations with smoking behaviors in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) (N = 12 741 with smoking data, 5119 ever-smokers), using ~2.3 million genotyped variants imputed to the 1000 Genomes Project phase 3. Mixed logistic regression models accounted for population structure, sampling, relatedness, sex, and age.

Results

The known region of CHRNA5, which encodes the α5 cholinergic nicotinic receptor subunit, was associated with heavy smoking at genome-wide significance (p ≤ 5 × 10-8) in a comparison of 1929 ever-smokers reporting cigarettes per day (CPD) > 10 versus 3156 reporting CPD ≤ 10. The functional variant rs16969968 in CHRNA5 had a p value of 2.20 × 10-7 and odds ratio (OR) of 1.32 for the minor allele (A); its minor allele frequency was 0.22 overall and similar across Hispanic/Latino background groups (Central American = 0.17; South American = 0.19; Mexican = 0.18; Puerto Rican = 0.22; Cuban = 0.29; Dominican = 0.19). CHRNA4 on chromosome 20 attained p < 10-4, supporting prior findings in non-Hispanics. For nondaily smoking, which is prevalent in Hispanic/Latino smokers, compared to daily smoking, loci on chromosomes 2 and 4 achieved genome-wide significance; replication attempts were limited by small Hispanic/Latino sample sizes.

Conclusions

Associations of nicotinic receptor gene variants with smoking, first reported in non-Hispanic European-ancestry populations, generalized to Hispanics/Latinos despite different patterns of smoking behavior.

Implications

We conducted the first large-scale genome-wide association study (GWAS) of smoking behavior in a US Hispanic/Latino cohort, and the first GWAS of daily/nondaily smoking in any population. Results show that the region of the nicotinic receptor subunit gene CHRNA5, which in non-Hispanic European-ancestry smokers has been associated with heavy smoking as well as cessation and treatment efficacy, is also significantly associated with heavy smoking in this Hispanic/Latino cohort. The results are an important addition to understanding the impact of genetic variants in understudied Hispanic/Latino smokers.

Leveraging Positive Psychology to Support Smoking Cessation in Nondaily Smokers Using a Smartphone App: Feasibility and Acceptability Study

Background

Nondaily smoking is an increasingly prevalent smoking pattern that poses substantial health risks.

Objective

We tested the feasibility of using a smartphone app with positive psychology exercises to support smoking cessation in nondaily smokers.

Methods

In this prospective, single-group pilot study, nondaily smokers (n=30) used version 1 of the Smiling Instead of Smoking (SiS) app for 3 weeks while undergoing a quit attempt. The app assigned daily happiness exercises, provided smoking cessation tools, and made smoking cessation information available. Participants answered surveys at baseline and 2, 6, 12, and 24 weeks after their chosen quit day and participated in structured user feedback sessions 2 weeks after their chosen quit day.

Results

App usage during the prescribed 3 weeks of use was high, with an average 84% (25.2/30) of participants using the app on any given day. App use was largely driven by completing happiness exercises (73%, 22/30) of participants per day), which participants continued to complete even after the end of the prescribed period. At the end of prescribed use, 90% (27/30) of participants reported that the app had helped them during their quit attempt, primarily by reminding them to stay on track (83%, 25/30) and boosting their confidence to quit (80%, 24/30) and belief that quitting was worthwhile (80%, 24/30). Happiness exercises were rated more favorably than user-initiated smoking cessation tools, and 80% (24/30) of participants proactively expressed in interviews that they liked them. App functionality to engage social support was not well received. Functionality to deal with risky times was rated useful but was rarely used. Within-person changes from baseline to the end of prescribed use were observed for several theorized mechanisms of behavior change, all in the expected direction: confidence increased (on a 0-100 scale, internal cues: b=16.7, 95% CI 7.2 to 26.3, P=.001; external cues: b=15.8, 95% CI 5.4 to 26.1, P=.004), urge to smoke decreased (on a 1-7 scale, b=−0.8, 95% CI −1.3 to −0.3, P=.002), and perceptions of smoking became less positive (on a 1-5 scale, psychoactive benefits: b=−0.5, 95% CI −0.9 to −0.2, P=.006; pleasure: b=−0.4, 95% CI −0.7 to −0.01, P=.03; on a 0-100 scale, importance of pros of smoking: b=−11.3, 95% CI −18.9 to −3.8, P=.004). Self-reported abstinence rates were 40% (12/30) and 53% (16/30) of participants 2 and 24 weeks post quit, respectively, with 30% (9/30) biochemically validated as abstinent 2 weeks post quit.

Conclusions

A smartphone app using happiness exercises to aid smoking cessation was well received by nondaily smokers. Given the high nonadherence and dropout rates for technology-delivered interventions reported in the literature, the high engagement with positive psychology exercises is noteworthy. Observed within-person changes and abstinence rates are promising and warrant further development of this app.

Decomposition of socioeconomic inequalities in cigarette smoking: the case of Namibia

Background

Namibia has one of the highest levels of income inequality in the world. Increased smoking prevalence, especially among the youth, may leave the country facing the spectre of higher smoking-related disease prevalence in the years to come. This study examines socioeconomic inequalities in smoking in Namibia and explores the drivers of this inequality.

Methods

Data are obtained from the Namibia 2013 Demographic and Health Survey, a nationally representative survey. Concentration curves and indices are calculated for cigarette smoking prevalence and intensity to assess the respective inequalities. Smoking intensity is defined as the number of cigarette sticks smoked within the last 24 h before the survey. We use a decomposition technique to identify the contribution of various covariates to socioeconomic inequalities in smoking prevalence and intensity.

Results

The concentration indices for socioeconomic inequality in cigarette smoking prevalence and smoking intensity are estimated at 0.021 and 0.135, respectively. This suggests that cigarette smoking is more prevalent among the wealthy and that they smoke more frequently compared to less wealthy Namibians. For smoking intensity, the biggest statistically significant contributors to inequality are marital status, wealth and region dummy variables while for smoking prevalence, education and place of dwelling (urban vs rural) are the main contributors.

Conclusion

While overall inequality in smoking prevalence and intensity is focused among the wealthy, the contribution of region of residence and education warrant some attention from policy makers. Based on our results, we suggest an assessment of compliance and enforcement of the Tobacco Products Control Act, that initially focuses on regions with reportedly low education statistics followed by an appropriate implementation strategy to address the challenges identified in implementing effective tobacco control interventions.

Using the text-messaging program SmokefreeTXT to support smoking cessation for nondaily smokers

INTRODUCTION

Smoking cessation interventions for nondaily smokers are needed. The current study explores the fit of the text-messaging intervention SmokefreeTXT for nondaily smokers.

METHODS

Adult nondaily smokers (N = 32; mean age = 35 ± 12, 64% female, 53% non-Hispanic White) were enrolled in SmokefreeTXT. SmokefreeTXT usage data were recorded passively, theorized mechanisms of change were assessed at baseline and 2, 6, and 12 weeks after the chosen quit day, and EMA protocols captured real-time cigarette reports at baseline, and during the first two weeks after the quit day.

RESULTS

Most participants completed the SmokefreeTXT program and responded to system-initiated inquiries, but just-in-time interaction with the program was limited. In retrospective recall at treatment end, content of the text-messages was rated as "neutral" to "helpful." Within-person change was observed in theorized mechanisms, with less craving (p < 0.01), increased abstinence self-efficacy (external: p < 0.01; internal: p < 0.01), and poorer perceptions of pros of smoking (psychoactive benefits: p < 0.01, pleasure p < 0.01; and pros: p < 0.01) reported after SmokefreeTXT initiation compared to baseline. Exploratory analyses of real-time reports of smoking (225 cigarette reports in N = 17 who relapsed) indicated that cigarettes smoked in the first two weeks after quitting were more likely to occur to reduce craving (OR = 2.21[1.21-3.72]), and less likely to occur to socialize (OR = 0.06[0.01-0.24]), between 19:00 and 23:00 (OR = 0.34[0.17-0.66]), and on Saturdays (OR = 0.59[0.35-0.99]) than prior to quitting.

CONCLUSIONS

While well accepted by nondaily smokers, SmokefreeTXT could potentially be improved by targeting cons of smoking, enhancing engagement with the just-in-time component of SmokefreeTXT, and tweaking the timing of text-messages.

Factors associated with changing cigarette consumption patterns among low-intensity smokers: Longitudinal findings across four waves (2008-2012) of ITC Mexico Survey

Background

Light and intermittent smoking has become increasingly prevalent as smokers shift to lower consumption in response to tobacco control policies. We examined changes in cigarette consumption patterns over a four-year period and determined which factors were associated with smoking transitions.

Methods

We used data from a cohort of smokers from the 2008–2012 ITC Mexico Survey administrations to investigate transitions from non-daily (ND; n = 669), daily light (DL; ≤5 cigarettes per day (cpd); n = 643), and daily heavy (DH; >5 cpd; n = 761) smoking patterns. To identify which factors (i.e., sociodemographic measures, perceived addiction, quit behavior, social norms) were associated with smoking transitions, we stratified on smoking status at time t (ND, DL, DH) and used multinomial (ND, DL) and binomial (DH) logistic regression to examine transitions (quitting/reducing or increasing versus same level for ND and DL, quitting/reducing versus same level for DH).

Results

ND smokers were more likely to quit at follow-up than DL or DH smokers. DH smokers who reduced their consumption to ND were more likely to quit eventually compared to those who continued as DH. Smokers who perceived themselves as addicted had lower odds of quitting/reducing smoking consumption at follow-up compared to smokers who did not, regardless of smoking status at the prior survey. Quit attempts and quit intentions were also associated with quitting/reducing consumption.

Conclusions

Reducing consumption may eventually lead to cessation, even for heavier smokers. The findings that perceived addiction and quit behavior were important predictors of changing consumption for all groups may offer insights into potential interventions.

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Smoking transitions were evaluated in a cohort of Mexican smokers.

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The cohort consisted mostly of understudied light and intermittent smokers (LITS).

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Reductions in smoking intensity were found to facilitate smoking cessation.

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Greater perceived addiction inhibited cessation for smokers at all levels of intensity.

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LITS patterns warrant attention as number of low-intensity smokers worldwide grows.

Nondaily Cigarette Smoking Is Increasing Among People With Common Mental Health and Substance Use Problems in the United States: Data From Representative Samples of US Adults, 2005-2014

OBJECTIVE

The current study estimated trends in the prevalence of daily and nondaily cigarette smoking among United States adults with any common mental health or substance use problem (MHSUP), compared to US adults without MHSUP, from 2005 to 2014.

METHODS

Data were drawn from the years 2005 to 2014 from the public use data files for the annually conducted National Survey on Drug Use and Health. Linear time trends of current, daily, and nondaily cigarette smoking among adults (age 18 years and older) with and without MHSUP were assessed using logistic regression models with continuous year as the predictor.

RESULTS

In 2014, the prevalence of current cigarette smoking among those with MHSUP was more than twice that of those without MHSUP. Nondaily cigarette smoking increased significantly from 2005 to 2014 among those with MHSUP (P = .001) in contrast to a decline in nondaily cigarette smoking among those without MHSUP (P < .01). The rate of change differed significantly (P < .001). Daily cigarette smoking declined significantly from 2005 to 2014 among those with and without MHSUP (P values < .001).

CONCLUSIONS

The prevalence of nondaily cigarette smoking is increasing among US adults with common mental health and substance use problems, while it continues to decline among those without these vulnerabilities. The disparity in prevalence of daily cigarette smoking between those with and without MHSUP remains substantial. Conclusions about how to reach the tobacco endgame may need to be reconsidered to develop targeted tobacco control public health approaches that address common MHSUP.

Socio-economic inequalities in secondhand smoke exposure at home in the context of mother-child pairs in Bangladesh

OBJECTIVES

This study aimed to examine socio-economic disparities in mother-child pairs' self-reported and cotinine-measured secondhand smoke (SHS) exposure at home.

STUDY DESIGN

This is a cross-sectional study.

METHODS

This study was conducted in the Rajshahi district of Bangladesh from May to July 2017. A total of 541 mother-child pairs were interviewed for self-reported measured SHS; cotinine-measured saliva test was performed on 263 mothers and 236 children. Mother-child pairs' SHS exposure at home was the outcome of interest.

RESULTS

Overall self-reported prevalence of SHS exposure at home was 49.0%. Self-reported SHS exposure among mothers (50.2%) and children (51.3%) were lower than the prevalence rate of cotinine-measured exposure for mothers (60.5%) and their children (58.9%). Maternal rich bands of wealth were found to be associated with lower likelihood of self-reported (adjusted odds ratio [AOR] = 0.59, 95% confidence interval [CI] = 0.35-0.99) and cotinine-measured SHS exposure among mothers (AOR = 0.17, 95% CI = 0.08-0.37). Maternal rich bands of wealth were also found to be associated with lower likelihood of cotinine-measured SHS exposure among children (AOR = 0.11, 95% CI = 0.07-0.26).

CONCLUSIONS

Socio-economic inequalities exist in exposure to SHS at home. Interventional approaches aimed at reducing SHS at home are urgently needed at public health and healthcare service level, with special focus given to the socioeconomically disadvantaged groups.

Interaction between ethnicity and smoker type with dependence: A comparison of daily and intermittent African American and Caucasian smokers

Ethnic differences in smoking patterns and dependence have been observed between Caucasian and African American smokers: African Americans who smoke are more likely to be intermittent smokers (ITS), and daily smokers (DS) consume fewer cigarettes yet report more dependence. Participants' (N = 482, 67% Caucasian, 54% ITS) dependence was assessed by primary and secondary dependence subscales of the Wisconsin Inventory of Smoking Dependence Motives, the Nicotine Dependence Syndrome Scale, the Hooked on Nicotine Checklist, the Fagerström Test of Nicotine Dependence, and time to first cigarette after waking. We tested associations with dependence for ethnicity, smoker type, and an Ethnicity × Smoker Type interaction, using multivariable linear regression, with adjustment for age, sex, and education. Additional models adjusted for cigarettes per day and history of daily smoking. There was a significant interaction between ethnicity and smoker type for 5 of 6 measures of dependence (each scale assessed separately), such that African American ITS reported more dependence than Caucasian ITS, whereas dependence did not differ by ethnicity among DS. African American ITS smoked more cigarettes per day and were more likely to have a history of daily smoking than Caucasian ITS; after further adjustments for these differences, there were no significant interactions of ethnicity and smoker type for any measure. Among DS, dependence did not differ by race. African American ITS were more dependent than Caucasian ITS; this difference was explained by higher cigarette consumption and a higher proportion converted from DS to ITS among African Americans versus Caucasians. (PsycINFO Database Record

Smiling Instead of Smoking: Development of a Positive Psychology Smoking Cessation Smartphone App for Non-daily Smokers

PURPOSE

The usefulness of mobile technology in supporting smoking cessation has been demonstrated, but little is known about how smartphone apps could best be leveraged. The purpose of this paper is to describe the program of research that led to the creation of a smoking cessation app for non-daily smokers, so as to stimulate further ideas to create "smart" smartphone apps to support health behavior change.

METHOD

Literature reviews to evaluate the appropriateness of the proposed app, content analyses of existing apps, and smoking cessation sessions with non-daily smokers (n = 38) to inform the design of the app.

RESULTS

The literature reviews showed that (1) smoking cessation apps are sought after by smokers, (2) positive affect plays an important role in smoking cessation, (3) short, self-administered exercises consistently bring about enduring positive affect enhancements, and (4) low treatment-seeking rates of non-daily smokers despite high motivation to quit indicate a need for novel smoking cessation support. Directed content analyses of existing apps indicated that tailoring, two-way interactions, and proactive features are under-utilized in existing apps, despite the popularity of such features. Conventional content analyses of audio-recorded session tapes suggested that difficulty in quitting was generally linked to specific, readily identifiable occasions, and that social support was considered important but not consistently sought out.

CONCLUSION

The "Smiling Instead of Smoking" (SIS) app is an Android app that is designed to act as a behavioral, in-the-pocket coach to enhance quitting success in non-daily smokers. It provides proactive, tailored behavioral coaching, interactive tools (e.g., enlisting social support), daily positive psychology exercises, and smoking self-monitoring.

Tobacco use status from clinical notes using Natural Language Processing and rule based algorithm

BACKGROUND

This cross-sectional retrospective study utilized Natural Language Processing (NLP) to extract tobacco-use associated variables from clinical notes documented in the Electronic Health Record (EHR).

OBJECITVE

To develop a rule-based algorithm for determining the present status of the patient's tobacco-use.

METHODS

Clinical notes (n= 5,371 documents) from 363 patients were mined and classified by NLP software into four classes namely: "Current Smoker", "Past Smoker", "Nonsmoker" and "Unknown". Two coders manually classified these documents into above mentioned classes (document-level gold standard classification (DLGSC)). A tobacco-use status was derived per patient (patient-level gold standard classification (PLGSC)), based on individual documents' status by the same two coders. The DLGSC and PLGSC were compared to the results derived from NLP and rule-based algorithm, respectively.

RESULTS

The initial Cohen's kappa (n= 1,000 documents) was 0.9448 (95% CI = 0.9281-0.9615), indicating a strong agreement between the two raters. Subsequently, for 371 documents the Cohen's kappa was 0.9889 (95% CI = 0.979-1.000). The F-measures for the document-level classification for the four classes were 0.700, 0.753, 0.839 and 0.988 while the patient-level classifications were 0.580, 0.771, 0.730 and 0.933 respectively.

CONCLUSIONS

NLP and the rule-based algorithm exhibited utility for deriving the present tobacco-use status of patients. Current strategies are targeting further improvement in precision to enhance translational value of the tool.

Comparing projected impacts of cigarette floor price and excise tax policies on socioeconomic disparities in smoking

Background

About half of all US states have cigarette minimum price laws (MPLs) that require a per cent mark-up on prices, but research suggests they may not be very effective in raising prices. An alternative type of MPL sets a floor price below which packs cannot be sold, and may be more promising. This new type of MPL policy has only been implemented in 1 city, therefore its benefits relative to excise taxes is difficult to assess.

Methods

We constructed a set of possible state floor price MPL options, and matched them to possible state excise tax hikes designed to produce similar average price increases. Using self-reported price and cigarette consumption data from 23 521 participants in the 2010–2011 Tobacco Use Supplement of the Current Population Survey, we projected changes in pack prices and cigarette consumption following implementation of each paired MPL and tax option, for lower and higher income groups.

Results

We project that state MPLs set at the average reported pack price would raise prices by $0.33 and reduce cigarette consumption by about 4%; a tax with a similar average price effect would reduce consumption by 2.3%. MPLs and taxes that raise average prices by more than $2.00 would reduce consumption by 15.9% and 13.5%, respectively. In all models, we project that MPLs will reduce income-based smoking disparities more than their comparable excise taxes.

Conclusions

Floor price cigarette MPLs set at or above what consumers currently report paying could reduce both tobacco use and socioeconomic disparities in smoking.

Taking Stock of Tobacco Control Program and Policy Science and Impact in the United States

The 60% decline in the prevalence of cigarette smoking among U.S. adults over the past 50 years represents a significant public health achievement. This decline was steered in part by national, state, and local tobacco control programs and policies, such as public education campaigns; widespread smoke-free air laws; higher cigarette prices that have been driven by large increases in federal, state, and local cigarette excise taxes; and other tobacco control policy and systems-level changes that discourage smoking. Using the MPOWER framework informed by the Centers for Disease Control and Prevention (CDC) Office on Smoking and Health and the World Health Organization (WHO), this paper reviews these accomplishments and identifies gaps in tobacco control policy implementation and additional research needed to extend these historic successes.

Prevalence and correlates of light and non-daily smoking in Brazil: Results from a nationwide representative survey

BACKGROUND

The research of light (≤10 cigarettes per day) and non-daily smokers in developing countries including Brazil is scarce despite the high prevalence of these groups among smokers and health risks associated to low-level smoking.

OBJECTIVE

To describe health and smoking characteristics of Brazilian adult light and non-daily smokers.

METHODS

We analyzed data from the 2013 Brazilian National Health Research survey (n=48,282).

RESULTS

The prevalence of current manufactured cigarette smoking in the total sample was 12.4%. Among these smokers, 12.8% were non-daily smokers (NDS), 47.4% were light smokers (LS) and 39.8% were moderate/heavy smokers (MHS). Bivariate analysis showed that non-daily smoking was associated with higher odds of poor self-rated health, binge drinking and lung diseases compared to never smokers (ORs=1.2; 5.9 and 1.9). Light smoking was associated with higher odds of poor self-rated health, binge drinking, depression, use of sleeping pills and lung diseases (ORs=1.3; 4.3; 1.4; 1.2 and 2.0). After controlling for sex and age, non-daily smoking was associated with lung disease (OR=2.2) and light smoking with depression and lung diseases (ORs=1.3 and 1.8). Smoking levels were associated with living with same-level smokers in bivariate and multivariate analyses.

CONCLUSION

A large proportion of smokers in Brazil are light and non-daily smokers, carrying substantial health risks related to tobacco use. Longitudinal research is needed to provide further evidence of associations found in this study. Public health policies must take the different smoking patterns into consideration to effectively target all smokers and reduce the harmful consequences of tobacco worldwide.

Depression Among Non-Daily Smokers Compared to Daily Smokers and Never-Smokers in the United States: An Emerging Problem

INTRODUCTION

Depression is strongly associated with daily smoking. Yet, little is known about the association between depression and non-daily smoking. The aim of this study was to investigate the prevalence of past-year depression and changes in past-year depression over time among non-daily smokers, compared to daily smokers and never-smokers, overall and stratified by age, gender, income, nicotine dependence, and cigarettes per day.

METHODS

Data were drawn from the National Household Survey on Drug Use (NSDUH), an annual cross-sectional study of persons aged 12 and over (total study population N = 496 805). The prevalence of past-year depression was examined annually among non-daily smokers, daily smokers, and never-smokers from 2005 to 2013 using linear trend analyses.

RESULTS

Past-year depression was common among 10.10% of non-daily smokers, common among 10.78% of daily smokers, and 5.51% of never-smokers in 2013. The prevalence of depression increased from 2005 to 2013 among non-daily smokers (9.06% vs. 10.10%; p = .034) while there was no significant change in depression over time among daily smokers. Increases in depression among non-daily smokers occurred for both men and women and appear most pronounced youth, those smoking fewer cigarettes, and those without nicotine dependence.

CONCLUSIONS

The prevalence of depression among non-daily smokers was equivalent to daily smokers and nearly twice that among nonsmokers. Depression appears to be increasing over time in non-daily smokers especially among youth, those who smoke less, and those without nicotine dependence. More work on the mental health of non-daily smokers is needed as this is an increasing and understudied group.

IMPLICATIONS

This is the first study to investigate changes in the prevalence of depression among non-daily smokers compared to daily smokers and never-smokers over the past decade in a nationally representative sample of the United States. The results suggest an increase in depression among non-daily smokers over time that did not similarly occur for daily smokers. Further, there were several subgroups of non-daily smokers among whom depression has increased more rapidly. This study suggests the need for more information about the relationship between depression and non-daily smoking including the impact of depression on quit attempts and outcomes.

Effect of neuroticism on risk of cardiovascular disease in depressed persons - a Swedish population-based cohort study

BACKGROUND

The relationship between neuroticism, depression and cardiovascular disease (CVD) is complex and has so far not been studied in depth. The aim of this study was to determine if neuroticism is an effect-modifier in the association between depression and CVD. Data derived from a longitudinal cohort study on mental health, work and relations among adults (20-64 years), including 10,443 individuals. Depression was assessed using the Major Depression Inventory (MDI) and neuroticism by the Swedish Scale of Personality (SSP). Outcomes of cardiovascular disease were register-based from the National inpatient register.

RESULTS

Both depression (OR 1.9 (95%CI 1.4, 2.5)) and high levels of neuroticism (OR 1.2 (95%CI 1.1-1.3)) were associated with increased risk of CVD. The combined effect of depression and neuroticism on the risk of CVD revealed HRs ranging from 1.0 to 1.9 after adjusting for age and gender, socioeconomic position, prevalent hypertension and diabetes. Almost similar associations were seen after further adjustment for lifestyle factors.

CONCLUSION

Neuroticism increased the risk of CVD in depressed persons. We found synergistic interaction between neuroticism and depression status in predicting future risk of CVD.

Identifying "social smoking" U.S. young adults using an empirically-driven approach

The phenomenon of "social smoking" emerged in the past decade as an important area of research, largely due to its high prevalence in young adults. The purpose of this study was to identify classes of young adult ever smokers based on measures of social and contextual influences on tobacco use. Latent class models were developed using social smoking measures, and not the frequency or quantity of tobacco use. Data come from a national sample of young adult ever smokers aged 18-24 (Truth Initiative Young Adult Cohort Study, N=1564). The optimal models identified three latent classes: Class 1 - nonsmokers (52%); Class 2 - social smokers (18%); and Class 3 - smokers (30%). Nearly 60% of the "social smoker" class self-identified as a social smoker, 30% as an ex-smoker/tried smoking, and 12% as a non-smoker. The "social smoker" class was most likely to report using tobacco mainly or only with others. Past 30-day cigarette use was highest in the "smoker" class. Hookah use was highest in the "social smoker" class. Other tobacco and e-cigarette use was similar in the "social smoker" and "smoker" classes. Past 30-day tobacco and e-cigarette use was present for all products in the "non-smoker" class. Young adult social smokers emerge empirically as a sizable, distinct class from other smokers, even without accounting for tobacco use frequency or intensity. The prevalence of hookah use in "social smokers" indicates a group for which the social aspect of tobacco use could drive experimentation and progression to regular use.

Factors associated with short-term transitions of non-daily smokers: socio-demographic characteristics and other tobacco product use

AIMS

To examine the transitions in smoking status among non-daily smokers who transitioned to daily or former smokers or remained as non-daily smokers during a 12-month period. We analyzed factors associated with these transitions, including the use of cigars and smokeless tobacco (SLT).

DESIGN

Secondary data analyses using pooled data from the 2003, 2006/07 and 2010/11 Tobacco Use Supplements to the Current Population Survey (TUS-CPS).

SETTING

United States.

PARTICIPANTS

Self-respondents aged 18+ who have smoked for more than 5 years and were non-daily smokers 12 months before the interview (n = 13 673, or 14.5% of current smokers).

MEASUREMENTS

Multinomial logistic regression model to determine the correlates of non-daily to daily, stable non-daily and non-daily to former smoking transitions among non-daily smokers at baseline. The model controlled for socio-demographic factors and the use of cigars and SLT.

FINDINGS

Of the adults in our sample, 2.6% were non-daily smokers at baseline. Among these, 69.7% remained non-daily smokers (stable non-daily smokers), 18.4% became daily smokers (non-daily to daily smokers) and 11.9% quit smoking (non-daily to former smokers) after 12 months. The non-daily to daily versus stable non-daily smoking transition was less likely among those who were aged 65+ (P = 0.018), male (P < 0.001), Hispanic (P < 0.001), with an income of $25 000-49 999 or ≥$75 000 and current users of SLT (P = 0.003), but more likely among those without a college degree compared with the appropriate reference group. The non-daily to former versus stable non-daily smoking transition was less likely among those aged 25+, male (P = 0.013), non-Hispanic Asian (P = 0.032), without a college degree, widowed/divorced/separated (P = 0.013) or never married (P = 0.011) and current users of cigars (P = 0.003) compared with the appropriate reference group.

CONCLUSIONS

While more than two-thirds of non-daily smokers in the United States remain as such after 12 months, others become daily smokers or quit. The likelihood of remaining stable non-daily smokers and of transition from non-daily to daily and non-daily to former smokers is associated with socio-demographic factors and current use of cigars and smokeless tobacco.

Changes in cigarette smoking initiation, cessation, and relapse among U.S. adults: a comparison of two longitudinal samples

BACKGROUND

The tobacco epidemic in the U.S. has matured in the past decade. However, due to rapidly changing social policy and commercial environments, tailored prevention and interventions are needed to support further reduction in smoking.

METHODS

Using Tobacco Use Supplement to the Current Population Survey (TUS-CPS) 2002-2003 and 2010-2011 longitudinal cohorts, five smoking states are defined including daily-heavy, daily-light, non-daily, former and non-smoker. We quantified the changes between smoking states for the two longitudinal cohorts, and used a series of multivariable logistic regression models to examine the association of socio-demographic attributes and initial smoking states on smoking initiation, cessation, and relapse between waves within each cohort.

RESULTS

The prevalence of adult heavy smoking decreased from 9.9% (95% CI: 9.6%, 10.2%) in 2002 to 7.1% (95% CI: 6.9%, 7.4%) in 2010. Non-daily smokers were less likely to quit in the 2010-2011 cohort than the 2002-2003 cohort (37.0% vs. 44.9%). Gender, age group, smoker type, race and marital status exhibit similar patterns in terms of their association to the odds of initiation, cessation and relapse between the two cohorts, while education groups showed some inconsistent results between the two cohorts regarding the odds of cessation.

CONCLUSIONS

Transitions between smoking states are complex and increasingly unstable, requiring a holistic, population-based perspective to understand the stocks and flows that ultimately dictate the public health impact of cigarette smoking behavior. This knowledge helps to identify groups in need of increased tobacco control prevention and intervention efforts.

Determinants of Light and Intermittent Smoking in the United States: Results from Three Pooled National Health Surveys

BACKGROUND

Light and/or intermittent smokers have been the fastest growing segment of cigarette smokers in the United States over the past two decades. Defining their behavioral characteristics is a critical public health priority.

METHODS

Our sample included 78,229 U.S. adults from three pooled contemporary population-based surveys: the 2012 NHIS, 2012 NSDUH, and 2011-2012 NHANES. We classified current smokers into four categories (light and intermittent [LITS], light-daily, heavier-intermittent, and heavier-daily) and assessed smoking behaviors, illicit drug use, and mental health indicators using weighted analyses.

RESULTS

Analyses associated smoking categories with nicotine dependence, age of smoking initiation, race/ethnicity, and other demographic and behavioral factors. Compared with heavier-daily smokers, smokers who were LITS were most likely to have mild or no nicotine dependence (weighted odds ratio [OR], 16.92; 95% confidence interval [CI], 13.10-21.85), to start smoking cigarettes regularly after age 21 (OR, 3.42; 95% CI, 2.84-4.12), and to be Hispanic (OR, 5.38; 95% CI, 4.38-6.61). Additional significant results were found for other categories of smokers.

CONCLUSIONS

Based on pooled data from three large national surveys, light and/or intermittent smokers differed in smoking, drug use, and mental health behaviors from heavier-daily, former, and never smokers. Notable differences by level of smoking frequency and intensity were observed for nicotine dependence, age of smoking initiation, and race/ethnicity.

IMPACT

Our results may help focus preventive measures and policies for the growing number of light and/or intermittent smokers in the United States because smoking patterns vary by behavioral and socioeconomic factors. Cancer Epidemiol Biomarkers Prev; 26(2); 228-39. ©2016 AACR.

Association of Long-term, Low-Intensity Smoking With All-Cause and Cause-Specific Mortality in the National Institutes of Health-AARP Diet and Health Study

IMPORTANCE

A growing proportion of US smokers now smoke fewer than 10 cigarettes per day (CPD), and that proportion will likely rise in the future. The health effects of smoking only a few CPD over one's lifetime are less understood than are the effects of heavier smoking, although many smokers believe that their level is modest.

OBJECTIVE

To evaluate the associations of long-term smoking of fewer than 1 or 1 to 10 CPD (low intensity) with all-cause and cause-specific mortality compared with never smoking cigarettes.

DESIGN, SETTING, AND PARTICIPANTS

Prospective cohort study of 290 215 adults in the National Institutes of Health-AARP (formerly known as the American Association of Retired Persons) Diet and Health Study who were aged 59 to 82 years in calendar years 2004-2005 (baseline). Data were gathered with a questionnaire assessing lifetime cigarette smoking history. Hazard ratios (HRs) and 95% CIs were determined for all-cause mortality and cause-specific mortality through the end of 2011. Hazard ratios and 95% CIs were estimated using Cox proportional hazards regression models using age as the underlying time metric and adjusted for sex, race/ethnicity, educational level, physical activity, and alcohol intake. Data analysis was conducted from December 15, 2015, to September 30, 2016.

EXPOSURES

Current and historical smoking intensity during 9 previous age periods (from <15 years to ≥70 years) over the lifetime assessed on the 2004-2005 questionnaire.

MAIN OUTCOMES AND MEASURES

All-cause and cause-specific mortality among current, former, and never smokers.

RESULTS

Of the 290 215 cohort participants who completed the 2004-2005 questionnaire, 168 140 were men (57.9%); the mean (SD) age was 71 (5.3) years (range, 59-82 years). Most people who smoked fewer than 1 or 1 to 10 CPD at baseline reported smoking substantially higher numbers of CPD earlier in their lives. Nevertheless, 159 (9.1%) and 1493 (22.5%) of these individuals reported consistently smoking fewer than 1 or 1 to 10 CPD in each age period that they smoked, respectively. Relative to never smokers, consistent smokers of fewer than 1 CPD (HR, 1.64; 95% CI, 1.07-2.51) and 1 to 10 CPD (HR, 1.87; 95% CI, 1.64-2.13) had a higher all-cause mortality risk. Associations were similar in women and men for all-cause mortality and were observed across a range of smoking-related causes of death, with an especially strong association with lung cancer (HR, 9.12; 95% CI, 2.92-28.47, and HR, 11.61; 95% CI, 8.25-16.35 for <1 and 1-10 CPD, respectively). Former smokers who had consistently smoked fewer than 1 or 1 to 10 CPD had progressively lower risks with younger age at cessation. For example, the HRs for consistent smokers of fewer than 1 and 1 to 10 CPD who quit at 50 years or older were 1.44 (95% CI, 1.12-1.85) and 1.42 (95% CI, 1.27-1.59), respectively.

CONCLUSIONS AND RELEVANCE

This study provides evidence that individuals who smoke fewer than 1 or 1 to 10 CPD over their lifetime have higher mortality risks than never smokers and would benefit from cessation. These results provide further evidence that there is no risk-free level of exposure to tobacco smoke.

Minimum Ages of Legal Access for Tobacco in the United States From 1863 to 2015

In the United States, state laws establish a minimum age of legal access (MLA) for most tobacco products at 18 years. We reviewed the history of these laws with internal tobacco industry documents and newspaper archives from 1860 to 2014. The laws appeared in the 1880s; by 1920, half of states had set MLAs of at least 21 years. After 1920, tobacco industry lobbying eroded them to between 16 and 18 years. By the 1980s, the tobacco industry viewed restoration of higher MLAs as a critical business threat. The industry's political advocacy reflects its assessment that recruiting youth smokers is critical to its survival. The increasing evidence on tobacco addiction suggests that restoring MLAs to 21 years would reduce smoking initiation and prevalence, particularly among those younger than 18 years.

Nondaily, Low-Rate Daily, and High-Rate Daily Smoking in Young Adults: A 17-Year Follow-Up

INTRODUCTION

While overall tobacco consumption is declining in many countries, patterns of low-frequency smoking-such as nondaily and low-rate daily smoking-appear to be increasing. We aimed firstly to describe differences in demographic, smoking- and quitting-related characteristics between nondaily and daily smokers in young adults; secondly, to determine the proportion of low-frequency smokers who transition to a higher rate of smoking by age 38 and factors associated with this.

METHODS

We assessed a cohort of individuals born in Dunedin, New Zealand, in 1972-1973, at regular intervals from age 21 to age 38 years. Smokers were categorized as either nondaily, low-rate daily (ie, defined as five or less cigarettes per day) or high-rate daily smokers (six or more cigarettes per day). Descriptive statistics, linear and logistic regression were used.

RESULTS

Nondaily smokers at age 21 tended to self-identify as nonsmokers. Both nondaily smokers and low-rate daily smokers reported higher readiness and confidence in quitting compared to high-rate daily smokers. Around 40% of the age 21 low-rate daily smokers reported smoking daily at age 38, compared to 13% of the nondaily smokers and 4% of the nonsmokers. Nondaily smoking at age 21 was associated with increased odds of being a daily smoker by age 38 (OR: 3.6; 95% CI = 1.7% to 7.8%) compared to nonsmokers.

CONCLUSIONS

Different patterns of smoking are associated with differences in readiness to quit and confidence in quitting ability. For a considerable proportion of smokers, low-frequency smoking in young adulthood develops into daily smoking by adulthood.

IMPLICATIONS

Low-frequency smoking, including nondaily smoking, in early adulthood is a significant risk factor for being a daily smoker in the long-term. Cessation interventions should be tailored to low-frequency smokers, taking into account differences between them and heavier smokers in terms of smoking motivation and quitting-related cognitions.

Conceptual obstacles to making use of four smoking-cessation strategies: What reasons do light smokers give for rejecting strategies?

Some smokers have safety and cost concerns about nicotine replacement therapy which discourage its use. We recruited 56 young adult light smokers to read detailed descriptions of a hybrid nicotine replacement therapy, a prescription drug treatment, scheduled reduced smoking, and a menu of self-help tactics. Participants listed five reasons smokers might reject each strategy. An emergent-category content analysis classified each response with a high degree of inter-rater reliability. Only one-third of 32 concerns were strategy-specific; the majority focused on the general difficulty of quitting. Most prevalent were “continued cravings,” “addiction too strong,” “takes too long,” and “won’t work.” These and other concerns reflect conceptual obstacles to be surmounted in smoking-cessation interventions.

Smoking dependence in 18 European countries: Hard to maintain the hardening hypothesis

OBJECTIVE

When the prevalence of smoking decreases in a population, there is a hypothesis-the so-called "hardening hypothesis"-that the remaining smokers form a subgroup of "hardcore smokers." Our aims were to test the hardening hypothesis and to analyze the determinants of high dependence taking into account both individual and country-level characteristics.

METHOD

Within the Pricing Policies and Control of Tobacco in Europe (PPACTE) project, we conducted a face-to-face survey on smoking between January and July 2010 in 18 European countries, including 2882 male and 2254 female smokers with complete information on smoking dependence. The Heaviness of Smoking Index (HSI) was used as a measure of tobacco dependence. We correlated smoking prevalence and dependence using the country as unit of analysis. Moreover, we fitted multilevel logistic regression models.

RESULTS

Country-specific prevalence of smoking was positively, although not significantly, correlated with the proportion of highly tobacco-dependent smokers (overall rsp=0.203, p=0.419), both in men (rsp=0.235, p=0.347) and women (rsp=0.455, p=0.058). Using individual-level analysis, high dependence was positively related to age, and, although not significantly, to smoking prevalence, and inversely related to level of education. The lack of a smoking ban at home was positively related to smoking dependence.

CONCLUSIONS

Using both ecological and individual-level analyses, the relations between smoking prevalence and HSI were not significant, but in the opposite direction as compared to that assumed by the "hardening hypothesis." Therefore, our data provide empirical evidence against this theory, thus supporting the feasibility of an endgame strategy.

Severity of Depression, Anxious Distress and the Risk of Cardiovascular Disease in a Swedish Population-Based Cohort

Background

Depression is known to be associated with cardiovascular diseases (CVD). This population-based cohort study aimed to determine the association between depression of varying severity and risk for CVD and to study the effect of concomitant anxious distress on this association.

Methods

We utilized data from a longitudinal cohort study of mental health, work and relations among adults (20–64 years), with a total of 10,443 individuals. Depression and anxious distress were assessed using psychiatric rating scales and defined according to DSM-5. Outcomes were register-based and self-reported cardiovascular diseases.

Findings

Overall increased odds ratios of 1.5 to 2.6 were seen for the different severity levels of depression, with the highest adjusted OR for moderate depression (OR 2.1 (95% CI 1.3, 3.5). Similar odds ratios were seen for sub-groups of CVD: ischemic/hypertensive heart disease and stroke, 2.4 (95% CI 1.4, 3.9) and OR 2.1 (95%CI 1.2, 3.8) respectively. Depression with anxious distress as a specifier of severity showed OR of 2.1 (95% CI 1.5, 2.9) for CVD.

Conclusion

This study found that severity level of depression seems to be of significance for increased risk of CVD among depressed persons, although not in a dose-response manner which might be obscured due to treatment of depression. Further, we found a higher risk of CVD among depressed individuals with symptoms of anxious distress.