The effectiveness of tobacco control policies on vulnerable populations in the USA: a review

Insomnia and parasomnia induced by validated smoking cessation pharmacotherapies and electronic cigarettes: a network meta-analysis

We aim to assess the relationship between validated smoking cessation pharmacotherapies and electronic cigarettes (e-cigarettes) and insomnia and parasomnia using a systematic review and a network meta-analysis. A systematic search was performed until August 2022 in the following databases: PUBMED, COCHRANE, CLINICALTRIAL. Randomized controlled studies against placebo or validated therapeutic smoking cessation methods and e-cigarettes in adult smokers without unstable or psychiatric comorbidity were included. The primary outcome was the presence of "insomnia" and "parasomnia." A total of 1261 studies were selected. Thirty-seven studies were included in the quantitative analysis (34 for insomnia and 23 for parasomnia). The reported interventions were varenicline (23 studies), nicotine replacement therapy (NRT, 10 studies), bupropion (15 studies). No studies on e-cigarettes were included. Bayesian analyses found that insomnia and parasomnia are more frequent with smoking cessation therapies than placebo except for bupropion. Insomnia was less frequent with nicotine substitutes but more frequent with bupropion than the over pharmacotherapies. Parasomnia are less frequent with bupropion but more frequent with varenicline than the over pharmacotherapies. Validated smoking cessation pharmacotherapies can induce sleep disturbances with different degrees of frequency. Our network meta-analysis shows a more favorable profile of nicotine substitutes for insomnia and bupropion for parasomnia. It seems essential to systematize the assessment of sleep disturbances in the initiation of smoking cessation treatment. This could help professionals to personalize the choice of treatment according to sleep parameters of each patient. Considering co-addictions, broadening the populations studied and standardizing the measurement are additional avenues for future research.

Are excluding e-cigarettes a loophole in the smokefree public housing rule?

The U.S. Department of Housing and Urban Development (HUD) required all Public Housing Authorities to become smokefree in July 2018, following an 18-month implementation period that began February 2017. The HUD rule included all combustible tobacco products; e-cigarettes were not included. This purpose of this study is to characterize e-cigarette use overall and initiation after the implementation of the smokefree rule among tobacco users living in public housing. Data were collected from 396 adult (18+ years) current tobacco users at the time of rule implementation residing in the District of Columbia Housing Authority between July 2018 and November 2021. Measures include e-cigarette use, age of initiation, reasons for e-cigarette use, e-cigarette use susceptibility (among non-users), and sociodemographic characteristics. Descriptive and crosstab statistics were calculated to characterize e-cigarette use. Nearly-one-quarter of tobacco users reported lifetime use of e-cigarettes (24 %, n = 95) and 4.8 % (n = 19) indicated past 30-day e-cigarette use. Of the lifetime users, twenty-two (23.2 %) initiated their use after the smoke-free rule went into effect, with only two of those residents indicating they did so because of the rule. Of those who never used an e-cigarette, 23.5 % (n = 70) indicated being curious about e-cigarettes and 10.7 % (n = 40) said they may use e-cigarettes in the next year. Results indicate low use of e-cigarette products and low uptake due to the rule. Few tobacco users who never used e-cigarettes indicated intentions to use. Results suggest that omitting e-cigarettes from the HUD rule has not led to significant use of these products in this sample.

Institutional Tobacco Policy and Tobacco Use Among Kansas Sheriffs' Staff and Individuals Incarcerated in Jail

This article describes the factors that contribute to Kansas county jails' tobacco culture to identify reasons for high tobacco use and intervention opportunities. Kansas sheriffs' offices were asked to complete a novel 26-item survey from August through November 2019, and 40% responded. A few reported that tobacco cessation counseling was available to staff (31%) or incarcerated individuals (12%). Seventy-nine percent reported that staff were permitted to use tobacco in designated places outside, whereas 24% reported that tobacco use by incarcerated individuals was permitted in designated places outside. In the jails' commissaries, 5% reported selling nicotine gum or nicotine lozenges and 26% reported selling e-cigarettes. The lack of tobacco cessation counseling and nicotine replacement therapy, weak policies, and availability of tobacco all contribute to Kansas county jails' prevalent tobacco culture.

Self- Evaluation Tool to Support Implementation of Treatment for Tobacco Use Disorder in Behavioral Health Programs

Tobacco use in people with behavioral health conditions remain two to three times higher than the general population causing premature death and impacting recovery negatively across several domains. Intermediary organizations can provide practical tools, training, and technical assistance to help programs improve capacity to treat tobacco use. This report describes the construction and application of the Tobacco Integration Self-Evaluation Tool (TiSET) for behavioral health programs, a 20-item scale inspired by the DDCMHT and additional content from the Facility Tobacco Policy and Treatment Practices Self-Evaluation tool that one of the study authors (JW) used previously with addiction treatment programs. Completing the TiSET is an important step for behavioral health programs to evaluate their ability to effectively treat people that use tobacco. An important next step is to use those results to facilitate a quality improvement process. We include large agency example illustrating how the TiSET can be applied in real-world practice.

Tobacco Taxation Influences the Smoking Habits of Adult Smokers Attending Smoking Cessation Clinic in Saudi Arabia

Objectives

To determine whether the increased tobacco price due to tax implementation on tobacco products (including cigarettes) has a significant effect on smoking cessation among Saudi Arabian adult smokers.

Methods

An interviewer-administered questionnaire was used to obtain data from adult Saudi smokers and recent quitters attending smoking cessation clinics between January 2018 and September 2019. The responses of the participants were summarized and analyzed.

Results

In total, 660 participants were interviewed, of which 98% were men who resided in the western region (33%). Taxation had no effect on smoking in 387 participants [58.6%; 95% confidence interval (CI): 54.9, 62.4], some effect in 220 participants (33.3%; 95% CI: 29.7, 36.9), and a substantial effect in 50 participants (7.6%; 95% CI: 5.6, 9.6). Strategies adopted to cope with the tax implementation included cutting down on the number of cigarettes smoked (302; 45.8%), changing to a cheaper brand of cigarette (151; 22.9%), purchasing in bulk (105; 15.9%), attempting to quit (453; 68.6%), and doing nothing (108; 16.4%). The rate of quitting smoking after attending the clinic was 20.7% (95% CI: 17.7, 23.9). Occupation (P = 0.003), education (P = 0.03), and current smoking habit (P = 0.07) were significantly associated with the impact of tobacco taxation. The strategies adopted in response to tax implementation on cigarettes were significantly associated with occupation (χ2 = 30, degrees of freedom = 12, P < 0.001).

Conclusions

Tobacco taxation influenced 40% of the participants. Their attempts to opt for alternatives should be recognized in evaluating policies to reduce adverse health impacts caused by tobacco abuse.

[The anesthetist's view on Jethro Tull's Aqualung]

Im Jahre 1971 veröffentlichte die britische Rockgruppe Jethro Tull ihr Meilensteinalbum Aqualung. Darauf ist ein Lied gleichen Titels zu hören, das die Geschichte eines Wohnungslosen namens „Aqualung“ erzählt, der einen kalten Tag auf einer Bank in einem Londoner Park verbringt. Es passiert nicht wirklich viel: Er schaut jungen Mädchen beim Spielen zu, bückt sich, um eine Zigarettenkippe aufzuheben, geht einen kurzen Weg zu einer öffentlichen Toilette, die Heilsarmee bietet ihm eine Tasse Tee an, er wird durch die junge Prostituierte „cross-eyed Mary“ erschreckt und flüchtet vor ihr und stirbt schließlich mit rasselnden letzten Atemzügen, die an Tiefseetauchergeräusche erinnern. Offensichtlich ist Aqualung schwer krank. Möglicherweise leidet er an einem Lungenödem, peripherer arterieller Verschlusskrankheit, posttraumatischer Belastungsstörung und vielleicht noch an weiteren der vielen, für Wohnungslose typischen Erkrankungen. Die Beschreibung seiner letzten Atemzüge mag den Anästhesisten an das Todesrasseln erinnern. Eine Möglichkeit, medizinisches Fachwissen an Ärzte zu vermitteln, besteht darin, Daten und Fakten über Erkrankungen mit Elementen der Popkultur zu verknüpfen. Dieser Essay möchte einen bis heute berühmten Rocksong als Vehikel nutzen, um Anästhesisten und Intensivmediziner für intensivmedizinisch relevante Erkrankungen von Wohnungslosen zu sensibilisieren und den Wissensstand zu verbessern.

Examining Arrest and Cigarette Smoking in Emerging Adulthood

Background:

Despite prior studies, transitions in smoking patterns are not fully understood. Getting arrested may alter an individual’s smoking pattern through processes proscribed by the criminological labeling theory. This study examined how arrest during emerging adulthood altered smoking behavior during subsequent years and whether there were differential effects by race/ethnicity and gender.

Methods:

We analyzed 15 waves of data from the National Longitudinal Survey of Youth 1997. Multinomial logistic regressions were performed using Stata software version 14.

Results:

For both genders, arrested black men and women had the most distinct smoking transitions (both increases and decreases) as compared with their non-arrested counterparts. Among men, particularly black males, arrest in early adulthood was associated with the men transitioning to both increased and decreased smoking. Patterns in smoking transitions for women were less clear, suggesting that women’s smoking may be influenced by factors not in the models. Women had a low probability of starting to smoke or increasing smoking if they were never arrested between 18 and 21 years of age.

Conclusions:

The results for transitioning into increased smoking offer some support for labeling theory processes. Other findings suggest that arrest may lead to some men reducing or quitting smoking. Early adulthood arrest may serve to “shock the system” and contribute to males altering their prior smoking behavior.

Implications:

Tobacco use over the life course, particularly across different racial and ethnic groups, remains understudied. This study contributes to the literature using a nationally representative sample to examine the effect of getting arrested in emerging adulthood on cigarette use during subsequent years. In conducting the study, investigators combined theories and methodological approaches from 2 complementary disciplines: public health and criminal justice. Because criminal justice policymakers tend to focus on issues like ex-offender unemployment, public health officials can provide guidance regarding the effect of justice system involvement on smoking, particularly given the adverse health outcomes of using cigarettes.

Differential Relationship between Tobacco Control Policies and U.S. Adult Current Smoking by Poverty

The study's purpose was to identify differences in the relationship between tobacco control policies and smoking by poverty. We matched state smoke-free air law coverage (SFALs), tobacco control funding (TCF), and cigarette taxes with individual current smoking and demographics from supplements to the Current Population Survey (1985-2015). We regressed (logistic) smoking on policy variables, poverty (<138% of poverty line versus ≥138% of poverty line), interactions of policy and poverty, and covariates, presenting beta coefficients instead of odds ratios because it is difficult to interpret interactions using odds ratios (they are ratios of odds ratios). We coded SFALs as (1) proportion of state covered by 100% workplace, restaurant and bar laws (SFAL-All) or (2) proportion of state covered by workplace laws (SFAL-WP) and proportion covered by restaurant or bar laws (SFAL-RB). In the SFAL-All model, SFAL-All (Beta coeff: -0.03, 95% CI: -0.06, -0.002), tax (Coeff: -0.06, 95% CI: -0.07, -0.05), and TCF (Coeff: -0.01, 95% CI: -0.01, -0.001) were associated with less smoking. In this model, the interaction of SFAL-All by poverty was significant (Coeff: 0.08, 95% CI: 0.02, 0.13). In the SFAL-WP/RB model, SFAL-RB (Coeff: -0.05, 95% CI: -0.08, -0.02), tax (Coeff: -0.05, 95% CI: -0.06, -0.04), and TCF (Coeff: -0.01, 95% CI: -0.01, -0.00) were significant. In the same model, SFAL-WP (Coeff: 0.09, 95% CI: 0.03, 0.15), SFAL-RB (Coeff: -0.14, 95% CI: -0.19, -0.09), and TCF (Coeff: 0.01, 95% CI: 0.00, 0.02) interacted with poverty. Tax by poverty was of borderline significance in this model (Coeff = 0.02, 95% CI: -0.00, 0.04, p = 0.050). Among adults, SFALs, TCF, and tax were associated with less current smoking, and SFALs and TCF had differential relationships with smoking by poverty.

Smoking Policy Change Within Permanent Supportive Housing

Smoke-free policies effectively reduce secondhand smoke (SHS) exposure among non-smokers, and reduce consumption, encourage quit attempts, and minimize relapse to smoking among smokers. Such policies are uncommon in permanent supportive housing (PSH) for formerly homeless individuals. In this study, we collaborated with a PSH provider in San Diego, California to assess a smoke-free policy that restricted indoor smoking. Between August and November 2015, residents completed a pre-policy questionnaire on attitudes toward smoke-free policies and exposure to secondhand smoke, and then 7-9 months after policy implementation residents were re-surveyed. At follow-up, there was a 59.7% reduction in indoor smoking. The proportion of residents who identified as current smokers reduced by 13% (95% CI: -38, 10.2). The proportion of residents who reported never smelling SHS indoors (apartment 24.2%, 95% CI: 4.2, 44.1; shared areas 17.2%, 95% CI: 1.7, 32.7); in outdoor areas next to the living unit (porches or patio 56.7%, 95% CI: 40.7, 72.8); and in other outdoor areas (parking lot 28.6%, 95% CI: 8.3, 48.9) was lower post-policy compared with pre-policy. Overall, resident support increased by 18.7%; however, the greatest increase in support occurred among current smokers (from 14.8 to 37.5%). Fewer current smokers reported that the policy would enable cessation at post-policy compared to pre-policy. Our findings demonstrate the feasibility of implementing smoke-free policies in PSH for formerly homeless adults. However, policy alone appears insufficient to trigger change in smoking behavior, highlighting the need for additional cessation resources to facilitate quitting.

Quit outcomes among clients ineligible for cessation medication through the state quitline: a retrospective, observational study

BACKGROUND

Distribution of tobacco cessation medications through state quitlines increases service utilization and quit outcomes. However, some state quitlines have moved to models in which callers are instructed to obtain quit medications through their health insurance pharmaceutical benefit. We aimed to investigate the impact of this policy on medication access and quit outcomes in the state quitline setting for clients who must obtain covered medications through the state Medicaid program. We hypothesized that clients with Medicaid who were referred by their healthcare provider would be more likely to report using quit medication and have higher quit rates compared to clients with Medicaid who engaged the quitline on their own.

METHODS

An observational, retrospective study was conducted using state quitline clients with Medicaid health insurance who were ineligible for quitline provided cessation medications. Clients were stratified by referral type: self-referred, passively referred, and proactively referred. Unadjusted and adjusted logistic regression was used to estimate the effect of referral type on both quit status and cessation medication use.

RESULTS

Proactively referred clients were less likely to use quit medication (53.6%) compared to self (56.9%) and passively referred clients (61.1%). Proactively referred clients had lower quit rates (31.4%), as compared to passively referred (36.0%) and self-referred (35.1%). In adjusted models, proactively referred clients were significantly less likely to be quit than passively referred clients (OR = 0.75, 95% CI: 0.56, 0.99). There were no statistically significant differences in medication use or number of coaching sessions among proactive, passive, and self-referred clients in adjusted models.

CONCLUSIONS

In adjusted models, medication use did not significantly differ by mode of entry in this population of Medicaid beneficiaries. Psychosocial factors such as intention to quit in the next 30 days, social support for quitting, education level, race, and ethnicity impacted quit status and differed by mode of entry. Quitlines should use tailored strategies to increase engagement and reduce barriers among proactively referred clients.

Tobacco and nicotine delivery product use in a national sample of pregnant women

Monitoring use of tobacco products among pregnant women is a public health priority, yet few studies in U.S. national samples have been reported on this topic. We examined prevalence and correlates of using cigarettes, e-cigarettes, and other tobacco/nicotine delivery products in a U.S. national sample of pregnant women. Data were obtained from all pregnant women (≥18 years) in the first wave of the Population Assessment of Tobacco and Health (PATH, 2013-2014) Study (N=388). Prevalence of current and prior use of tobacco/nicotine products was examined overall and among current cigarette smokers. Multiple logistic regression was used to examine correlates of use of cigarettes, e-cigarettes, hookah and cigars. Overall prevalence was highest for cigarettes (13.8%), followed by e-cigarettes (4.9%), hookah (2.5%) and cigars (2.3%), and below 1% for all other products. Prevalence of using other tobacco products is much higher among current smokers than the general population, with e-cigarettes (28.5%) most prevalent followed by cigars (14.0%), hookah (12.4%), smokeless (4.7%), snus (4.6%), and pipes (2.1%). Sociodemographic characteristics (poverty, low educational attainment, White race) and past-year externalizing psychiatric symptoms were correlated with current cigarette smoking. In turn, current cigarette smoking and past year illicit drug use were correlated with using e-cigarettes, hookah, and cigars. These results underscore that tobacco/nicotine use during pregnancy extends beyond cigarettes. The results also suggest that use of these other products should be included in routine clinical screening on tobacco use, and the need for more intensive tobacco control and regulatory strategies targeting pregnant women.

Facility-level, state, and financial factors associated with changes in the provision of smoking cessation services in US substance abuse treatment facilities: Results from the National Survey of Substance Abuse Treatment Services 2006 to 2012

Cigarette smoking is common among patients in substance abuse treatment. Tobacco control programs have advocated for integrated tobacco dependence treatment into behavioral healthcare, including within substance abuse treatment facilities (SATFs) to reduce the public health burden of tobacco use. This study used data from seven waves (2006 to 2012) of the National Survey of Substance Abuse Treatment Services (n=94,145) to examine state and annual changes in the provision of smoking cessation services within US SATFs and whether changes over time could be explained by facility-level (private vs public ownership, receipt of earmarks, facility admissions, acceptance of government insurance) and state-level factors (cigarette tax per pack, smoke free policies, and percent of CDC recommended tobacco prevention spending). Results showed that the prevalence of SATFs offering smoking cessation services increased over time, from 13% to 65%. The amount of tax per cigarette pack, accepting government insurance, government (vs private) ownership, facility admissions, and CDC recommended tobacco prevention spending (per state) were the strongest correlates of the provision of smoking cessation programs in SATFs. Facilities that received earmarks were less likely to provide cessation services. Adult smoking prevalence and state-level smoke free policies were not significant correlates of the provision of smoking cessation services over time. Policies aimed at increasing the distribution of tax revenues to cessation services in SATFs may offset tobacco-related burden among those with substance abuse problems.