Tobacco policies and changes in the tendency of smoking cessation in cigarette users in Chile: a longitudinal cross-sectional study.

OBJECTIVE: To assess the impact of tobacco control regulations and policy implementation on smoking cessation tendencies in cigarette users born between 1982 and 1991 in Chile. DESIGN: Longitudinal cross-sectional study. SETTING: National level. PARTICIPANTS: Data from the National Survey of Drug Consumption (Service of Prevention and Rehabilitation for Drug and Alcohol Consumption). A pseudo-cohort of smokers born between 1982 and 1991 (N=17 905) was tracked from 2002 to 2016. PRIMARY AND SECONDARY OUTCOMES MEASURES: Primary outcome was the tendency to cease smoking conceptualised as the report of using cigarettes 1 month or more ago relative to using cigarettes in the last 30 days. The main exposure variable was the Tobacco Policy Index-tracking tobacco policy changes over time. Logistic regression, controlling for various factors, was applied. RESULTS: Models suggested a 14% increase in the smoking cessation tendency of individuals using cigarettes 1 month or more ago relative to those using cigarettes in the last 30 days (OR 1.14, CI 95% CI 1.10 to 1.19) for each point increment in the Tobacco Policy index. CONCLUSIONS: Our study contributes to documenting a positive impact of the implementation of interventions considered in the MPOWER strategy in the progression of smoking cessation tendencies in smokers born between 1982 and 1991 in Chile.

Cigarette Smoking Among Pregnant Women During the Perinatal Period: Prevalence and Health Care Provider Inquiries - Pregnancy Risk Assessment Monitoring System, United States, 2021.

Cigarette smoking during pregnancy increases the risk for pregnancy complications and adverse infant outcomes such as preterm delivery, restricted fetal growth, and infant death. Health care provider counseling can support smoking cessation. Data from the 2021 Pregnancy Risk Assessment Monitoring System were analyzed to estimate the prevalence of smoking before, during, and after pregnancy; quitting smoking during pregnancy; and whether health care providers asked about cigarette smoking before, during, and after pregnancy among women with a recent live birth. In 2021, the prevalence of cigarette smoking was 12.1% before pregnancy, 5.4% during pregnancy, and 7.2% during the postpartum period; 56.1% of women who smoked before pregnancy quit smoking while pregnant. Jurisdiction-specific prevalences of smoking ranged from 3.5% to 20.2% before pregnancy, 0.4% to 11.0% during pregnancy, and 1.0% to 15.1% during the postpartum period. Among women with a health care visit during the associated period, the percentage of women who reported that a health care provider asked about smoking was 73.7% at any health care visit before pregnancy, 93.7% at any prenatal care visit, and 57.3% at a postpartum checkup. Routine assessment of smoking behaviors among pregnant and postpartum women can guide the development and implementation of evidence-based tobacco control measures at the jurisdiction and health care-system level to reduce smoking among pregnant and postpartum women.

Reducing tobacco use in substance use treatment: The California tobacco free initiative.

BACKGROUND: People in substance use disorder (SUD) treatment have a smoking prevalence that is five times higher than the national average. California funded the Tobacco Free for Recovery Initiative, designed to support programs in implementing tobacco-free grounds and increasing smoking cessation services. In the first cohort of the initiative (2018-2020) client smoking prevalence decreased from 54.2% to 26.6%. The current study examined whether similar findings would be replicated with a later cohort of programs (2020-2022). METHOD: Cross-sectional survey data were collected from clients in 11 residential SUD treatment programs at baseline (n = 185) and at post intervention (n = 227). Multivariate logistic regression assessed change over time in smoking prevalence, tobacco use behaviors, and receipt of cessation services across the two timepoints. RESULTS: Client smoking prevalence decreased from 60.3 % to 40.5 % (Adjusted Odds Ratio [AOR] = 0.46, 95 % CI = 0.27, 0.78; p = 0.004). Current smokers and those who quit while in treatment reported an increase in nicotine replacement therapy (NRT)/pharmacotherapy from baseline to post intervention (31.9 % vs 45.6 %; AOR = 2.22, 95 % CI = 1.08, 4.58; p = 0.031). CONCLUSIONS: Like the first cohort, the Tobacco Free for Recovery initiative was associated with decreased client smoking prevalence and an increase in NRT/pharmacotherapy. These findings strengthen the evidence that similar initiatives may be effective in reducing smoking prevalence among people in SUD treatment.

The association between excise taxes and smoking and vaping transitions-Findings from the 2016-2020 ITC United States surveys.

BACKGROUND: While a growing number of studies examined the effect of e-cigarette (EC) excise taxes on tobacco use behaviors using cross-sectional surveys or sales data, there are currently no studies that evaluate the impact of EC taxes on smoking and vaping transitions. METHODS: Using data from the US arm of the 2016-2020 International Tobacco Control Four Country Smoking and Vaping Survey (ITC 4CV), we employed a multinomial logit model with two-way fixed effects to simultaneously estimate the impacts of cigarette/EC taxes on the change in smoking and vaping frequencies. RESULTS: Our benchmark model suggests that a 10 % increase in cigarette taxes led to an 11 % reduction in smoking frequencies (p < 0.01), while EC taxes did not have a significant effect on smoking frequencies. CONCLUSION: Our findings suggest that increasing cigarette taxes may serve as an effective means of encouraging people who smoke to cut back on smoking or quit smoking. The impact of increasing EC taxes on smoking transitions is less certain at this time.

Factors Associated With Receipt of Smoking Cessation Advice and Assistance by Health Professionals Among Latino and Non-Latino White Smokers With Medicaid Insurance in California.

Importance: Nationally, Latino smokers are less likely than non-Latino White smokers to receive advice and assistance from health professionals to quit smoking. California's Medicaid expansion included the Patient Protection and Affordable Care Act's comprehensive tobacco cessation benefits; however, it is unknown whether expanded coverage helped resolve this disparity. Objective: To examine the association between race and ethnicity (Latino and non-Latino White) and health professional cessation advice and assistance among smokers with Medi-Cal insurance in the post-Affordable Care Act period. Design, Setting, and Participants: This repeated cross-sectional study was conducted with the 2014 and 2016-2018 California Health Interview Survey. A total of 1861 Latino and non-Latino White current smokers aged 18 to 64 years who had Medi-Cal insurance and consulted a health professional in the past 12 months were included. Data were analyzed between December 1, 2019, and April 30, 2021. Exposure: Race and ethnicity classified as Latino or non-Latino White. Main Outcomes and Measures: The outcomes were receipt of health professional advice to quit smoking or assistance to quit in the past 12 months. Logistic regression was used to examine the association between race and ethnicity and each outcome, adjusted for sociodemographic factors, smoking behavior, health care factors, and acculturation measures. All estimates were weighted to adjust for the complex survey design. Results: Among 1861 participants, 44.8% were Latino, 53.8% were aged 40 years or older (mean [SE], 39.7 [0.79] years), 54.1% were male, and 59.9% had less than a high school education. Latino smokers were less likely than non-Latino White smokers to receive health professional advice (38.3% Latino smokers vs 55.3% non-Latino White smokers) or assistance (21.8% Latino smokers vs 35.7% non-Latino White smokers). In the unadjusted model, compared with non-Latino White smokers, Latino smokers were less likely to receive advice (odds ratio [OR], 0.50; 95% CI, 0.29-0.86) and also less likely to receive assistance (OR, 0.50; 95% CI, 0.25-1.00). However, in the adjusted model, race was no longer significant. Smokers with more office visits (adjusted OR, 2.44; 95% CI, 1.61-3.70) and those with at least 1 chronic disease (adjusted OR, 1.99; 95% CI, 1.15-3.43) were more likely to receive advice from a health professional. Additionally, daily smokers compared with nondaily smokers (adjusted OR, 2.29; 95% CI, 1.03-5.13) were more likely to receive assistance. Conclusions and Relevance: In this cross-sectional study, more office visits, having a chronic disease, and daily smoking were associated with an increased likelihood of receiving smoking cessation advice or assistance. Use of strategies to engage tobacco users outside of the clinic, such as proactive outreach and community-based engagement, may help address this disparity.

The impact of cigarette prices on smoking participation and tobacco expenditure in Vietnam.

Vietnam is one of countries with the highest number of smokers in the world and the high smoking prevalence among men in the region. Although the real cigarette prices increased by around 4% during the 2010-2015 period, the prevalence of daily cigarette smoking among men decreased slightly from 31.3% to 30.7% during this period. This raises the question of whether cigarette consumption is sensitive to price. In this study, we estimated the effect of cigarette prices on smoking participation and tobacco expenditure in Vietnam. We found that a one-percent increase in the real cigarette price reduced the probability of cigarette smoking among males by 0.08 percentage points (95% CI from -0.06 to -0.10), equivalent to the price elasticity of the smoking prevalence at -0.26 (95% CI from -0.16% to -0.33%). Using this estimate, we predict that if the cigarette price is increased by 10%, the daily cigarette smoking prevalence among men would decrease from 30.7% to 29.9% and the number of male smokers would decline by around 270 thousand. Higher cigarette prices also reduced per capita tobacco expenditure of households. A one-percent increase in the cigarette price decreased per capita expenditure on tobacco consumption expenditure of households by 0.43 percent (the 95% CI from -0.029 to 0.822). This finding suggests that raising tobacco taxes and prices can be an effective measure to reduce tobacco use.

The evaluation of the smoking cessation behaviors of coal miners according to the health belief model: A cross-sectional study.

The aim of this descriptive and cross-sectional study was to evaluate smoking characteristics and smoking cessation behaviors among smoking coal miners according to the Health Belief Model (HBM). The population of this cross sectional study consisted of 582 coal miners, while the sample consisted of 473 miners who agreed to participate in the study. The miners working above ground obtained significantly higher scores compared to those who worked underground (p = 0.027). There was a significant positive correlation between smoking costs and perceived susceptibility (p < 0.001; r = 0.249) sub dimension scores, while smoking costs also had a weak positive correlation with perceived severity (p < 0.050; r = 0.179). In addition, many sub dimensions of the HBM-SCS were found to be correlated (p < 0.001). This finding shows that workers who have smoking costs may have made smoking cessation a strategic goal. Smoking habits are widespread among coal miners, and it was thought that further efforts should be made to explain to those coal miners the health hazards of smoking.

The Mexico SimSmoke tobacco control policy model: Development of a simulation model of daily and nondaily cigarette smoking.

BACKGROUND: Nondaily smoking has been on the rise, especially in Mexico. While Mexico has strengthened its tobacco control policies, their effects on nondaily smokers have gone largely unexamined. We developed a simulation model to estimate the impact of tobacco control policies on daily and nondaily smoking in Mexico. METHODS: A previously validated Mexico SimSmoke model that estimated overall trends in smoking prevalence from 2002 through 2013 was extended to 2018 and adapted to distinguish daily and nondaily smoking prevalence. The model was then validated using data from Mexican surveys through 2016. To gauge the potential effects of policies, we compared the trends in smoking under current policies with trends from policies kept at their 2002 levels. RESULTS: Between 2002 and 2016, Mexico SimSmoke underestimated the reduction in male and female daily smoking rates. For nondaily smoking, SimSmoke predicted a decline among both males and females, while survey rates showed increasing rates in both genders, primarily among ages 15-44. Of the total reduction in smoking rates predicted by the model by 2018, tax policies account for more than 55%, followed by health warnings, cessation treatment, smoke-free air laws, and tobacco control spending. CONCLUSIONS: Although Mexico SimSmoke did not successfully explain trends in daily and nondaily smoking, it helps to identify gaps in surveillance and policy evaluation for nondaily smokers. Future research should consider appropriate measures of nondaily smoking prevalence, trajectories between daily and nondaily smoking, and the separate impact of tobacco control policies on each group.

Assessing Electronic Nicotine Delivery Systems Use at NCI-Designated Cancer Centers in the Cancer Moonshot-funded Cancer Center Cessation Initiative.

Assessing tobacco product use and delivering tobacco dependence treatment is an essential part of cancer care; however, little is known about electronic nicotine delivery systems (ENDS) or e-cigarette use assessment in cancer treatment settings. Given the importance of tailoring tobacco treatment, it is critical to understand how ENDS use is assessed in the electronic health record (EHR) in cancer care settings. Two questionnaires were completed by tobacco treatment program leads at 42 NCI-Designated Cancer Centers in the Cancer Center Cessation Initiative (January 1 to June 30 and July 1 to December 31, 2019). Items assessed how often smoking status and ENDS use were recorded in the EHR. An open-ended item recorded the text and response categories of each center's ENDS assessment question. All 42 centers assessed smoking status at both time periods. Twenty-five centers (59.5%) assessed ENDS use in the first half of 2019, increasing to 30 (71.4%) in the last half of 2019. By the end of 2019, 17 centers assessed smoking status at every patient visit while six assessed ENDS use at every visit. A checkbox/drop-down menu rather than scripted text was used at 30 centers (73.2%) for assessing smoking status and at 18 centers (42.9%) for assessing ENDS use. Our findings underscore the gap in systematic ENDS use screening in cancer treatment settings. Requiring ENDS use measures in the EHR as part of quality measures and providing scripted text scripts to providers may increase rates of ENDS use assessment at more cancer centers. PREVENTION RELEVANCE: This study identifies a gap in the systematic assessment of ENDS use among patients seen at 42 NCI-Designated cancer centers. Requiring the systematic assessment of both ENDS use and use of other tobacco products can inform evidence-based treatment of tobacco dependence and lead to improved cancer treatment outcomes.

Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and initiation among young people in 204 countries and territories, 1990-2019.

BACKGROUND: Universally, smoking cessation rates among established smokers are poor. Preventing young people from starting use of and becoming addicted to tobacco products remains a key strategy to end the tobacco epidemic. Previous country-specific studies have found that initiation of smoking tobacco use occurs predominantly among young people and have found mixed progress in reducing the prevalence of smoking tobacco use among young people. Current and comparable estimates for all countries are needed to inform targeted interventions and policies. METHODS: We modelled two indicators: prevalence of current smoking tobacco use among young adults aged 15-24 years, and the age at which current smokers aged 20-54 years in 2019 began smoking regularly. We synthesised data from 3625 nationally representative surveys on prevalence of smoking and 254 on age at initiation. We used spatiotemporal Gaussian process regression to produce estimates of the prevalence of smoking and age of initiation by sex, for 204 countries and territories for each year between 1990 and 2019. FINDINGS: Globally in 2019, an estimated 155 million (95% uncertainty interval 150-160) individuals aged 15-24 years were tobacco smokers, with a prevalence of 20·1% (19·4-20·8) among males and 4·95% (4·64-5·29) among females. We estimated that 82·6% (82·1-83·1) of current smokers initiated between ages 14 and 25 years, and that 18·5% (17·7-19·3) of smokers began smoking regularly by age 15 years. Although some countries have made substantial progress in reducing the prevalence of smoking tobacco use among young people, prevalence in 2019 still exceeds 20% among males aged 15-24 years in 120 countries and among females aged 15-24 years in 43 countries. INTERPRETATION: The fact that most smokers start smoking regularly before age 20 years highlights the unique window of opportunity to target prevention efforts among young people and save millions of lives and avert health-care costs in the future. Countries can substantially improve the health of their populations by implementing and enforcing evidence-based tobacco control policies that prevent the next generation from initiating smoking. FUNDING: Bloomberg Philanthropies.

Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019.

BACKGROUND: Chewing tobacco and other types of smokeless tobacco use have had less attention from the global health community than smoked tobacco use. However, the practice is popular in many parts of the world and has been linked to several adverse health outcomes. Understanding trends in prevalence with age, over time, and by location and sex is important for policy setting and in relation to monitoring and assessing commitment to the WHO Framework Convention on Tobacco Control. METHODS: We estimated prevalence of chewing tobacco use as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 using a modelling strategy that used information on multiple types of smokeless tobacco products. We generated a time series of prevalence of chewing tobacco use among individuals aged 15 years and older from 1990 to 2019 in 204 countries and territories, including age-sex specific estimates. We also compared these trends to those of smoked tobacco over the same time period. FINDINGS: In 2019, 273·9 million (95% uncertainty interval 258·5 to 290·9) people aged 15 years and older used chewing tobacco, and the global age-standardised prevalence of chewing tobacco use was 4·72% (4·46 to 5·01). 228·2 million (213·6 to 244·7; 83·29% [82·15 to 84·42]) chewing tobacco users lived in the south Asia region. Prevalence among young people aged 15-19 years was over 10% in seven locations in 2019. Although global age-standardised prevalence of smoking tobacco use decreased significantly between 1990 and 2019 (annualised rate of change: -1·21% [-1·26 to -1·16]), similar progress was not observed for chewing tobacco (0·46% [0·13 to 0·79]). Among the 12 highest prevalence countries (Bangladesh, Bhutan, Cambodia, India, Madagascar, Marshall Islands, Myanmar, Nepal, Pakistan, Palau, Sri Lanka, and Yemen), only Yemen had a significant decrease in the prevalence of chewing tobacco use, which was among males between 1990 and 2019 (-0·94% [-1·72 to -0·14]), compared with nine of 12 countries that had significant decreases in the prevalence of smoking tobacco. Among females, none of these 12 countries had significant decreases in prevalence of chewing tobacco use, whereas seven of 12 countries had a significant decrease in the prevalence of tobacco smoking use for the period. INTERPRETATION: Chewing tobacco remains a substantial public health problem in several regions of the world, and predominantly in south Asia. We found little change in the prevalence of chewing tobacco use between 1990 and 2019, and that control efforts have had much larger effects on the prevalence of smoking tobacco use than on chewing tobacco use in some countries. Mitigating the health effects of chewing tobacco requires stronger regulations and policies that specifically target use of chewing tobacco, especially in countries with high prevalence. FUNDING: Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.

Changing patterns and prevalence of daily tobacco smoking among Australian workers: 2007-2016.

OBJECTIVE: To map patterns and prevalence of daily smoking among employed Australians over time. METHODS: Data from four waves of the triennial National Drug Strategy Household Survey (2007, 2010, 2013 and 2016) were used to assess daily smoking. Frequency analyses and significance testing examined smoking prevalence by sex, age, state, remoteness, Indigeneity, socioeconomic status (SES) and psychological distress. Logistic regression models estimated adjusted effects of demographics on smoking prevalence. RESULTS: Workers' daily smoking prevalence reduced by 32% between 2007 and 2016. The adjusted model showed the lowest smoking reductions among men and non-metropolitan workers. Other interaction effects showed the highest daily smoking rates for: male workers aged 14-39 years; low SES non-metropolitan workers; and low SES workers aged 40-59 years. CONCLUSIONS: Specific workplace policies, prevention and intervention strategies are warranted for male workers, especially those aged 14-39; non-metropolitan workers, especially low SES rural workers; and low SES workers especially 40-59-year-olds. Implications for public health: In spite of significant smoking reductions among workers over time, reductions were unevenly distributed. Tailored, innovative workplace prevention and intervention strategies that apply principles of proportionate universalism and address individual, workplace settings and cultural factors are warranted to reduce smoking disparities among male, rural and low SES workers.

Smoking and cessation behaviors in patients at federally funded health centers - United States, 2014.

BACKGROUND: Federally funded health centers (HCs) provide care to the most vulnerable populations in the U.S., including populations with disproportionately higher smoking prevalence such as those with lower incomes. METHODS: This study compared characteristics of adult HC patients, by cigarette smoking status, and assessed smoking cessation-related behaviors using 2014 Health Center Patient Survey data; analysis was restricted to adults with data on cigarette smoking status (n = 5583). Chi-square and logistic regression analyses were conducted. RESULTS: Overall, 28.1 % were current smokers and 19.2 % were former smokers. Current smokers were more likely to report fair/poor health (48.2 %) and a high burden of behavioral health conditions (e.g., severe psychological distress 23.9 %) versus former and never smokers. Most current smokers reported wanting to quit in the past 12 months (79.0 %) and receiving advice to quit from a healthcare professional (78.7 %). In a multivariable model, age <45, non-white race, COPD diagnosis, and past 3-month marijuana use were significantly associated with desire to quit. Few former smokers (15.2 %) reported using cessation treatment, though use was higher among those who quit within the previous year (30.6 %). CONCLUSIONS: Although most current smokers reported a desire to quit, low uptake of evidence-based treatment may reduce the number who attempt to quit and succeed. Given the burden of tobacco use, future efforts could focus on identifying and overcoming unique personal, healthcare professional, or health system barriers to connecting them with cessation treatments. Increasing access to cessation treatments within HCs could reduce smoking-related disparities and improve population health.

Using Pharmaceutical Benefit Scheme data to understand the use of smoking cessation medicines by Aboriginal and Torres Strait Islander smokers.

OBJECTIVE: To examine the supply of smoking cessation medicines to Aboriginal and Torres Strait Islander smokers compared to non-Indigenous smokers across Australia. METHODS: We analysed the total number of smoking cessation prescriptions dispensed over three years through the Pharmaceutical Benefits Scheme (PBS) compared to those supplied nationally through the Closing the Gap (CTG) measure and also in the Northern Territory through the Remote Area Aboriginal Health Service (RAAHS) program. RESULTS: Aboriginal and Torres Strait Islander smokers were supplied with fewer smoking cessation medicines per smoker under the CTG measure compared to non-Indigenous smokers under general PBS benefits. Supply of medicines though the RAAHS program complicated the use of CTG data where higher proportions of Aboriginal and Torres Strait Islander people live in remote areas and use of the CTG measure is lower. CONCLUSIONS: Fewer smoking cessation medicines are being prescribed and then dispensed to Aboriginal and Torres Strait Islander smokers than to non-Indigenous smokers. Implications for public health: CTG and RAAHS data may be useful to monitor and evaluate the effectiveness of interventions to improve the use of smoking cessation medicines by Aboriginal and Torres Strait Islander smokers. However, there are limitations and current obstacles to accessing RAAHS data would need to be removed.

Receipt of and Spending on Cessation Medication Among US Adults With Employer-Sponsored Health Insurance, 2010 and 2017.

OBJECTIVE: Studies examining the use of smoking cessation treatment and related spending among enrollees with employer-sponsored health insurance are dated and limited in scope. We assessed changes in annual receipt of and spending on cessation medications approved by the US Food and Drug Administration (FDA) among tobacco users with employer-sponsored health insurance from 2010 to 2017. METHODS: We analyzed data on 439 865 adult tobacco users in 2010 and 344 567 adult tobacco users in 2017 from the IBM MarketScan Commercial Database. We used a negative binomial regression to estimate changes in receipt of cessation medication (number of fills and refills and days of supply). We used a generalized linear model to estimate spending (total, employers', and out of pocket). In both models, covariates included year, age, sex, residence, and type of health insurance plan. RESULTS: From 2010 to 2017, the percentage of adult tobacco users with employer-sponsored health insurance who received any cessation medication increased by 2.4%, from 15.7% to 16.1% (P < .001). Annual average number of fills and refills per user increased by 15.1%, from 2.5 to 2.9 (P < .001) and days of supply increased by 26.4%, from 81.9 to 103.5 (P < .001). The total annual average spending per user increased by 53.6%, from $286.40 to $440.00 (P < .001). Annual average out-of-pocket spending per user decreased by 70.9%, from $70.80 to $20.60 (P < .001). CONCLUSIONS: Use of smoking cessation medications is low among smokers covered by employer-sponsored health insurance. Opportunities exist to further increase the use of cessation medications by promoting the use of evidence-based cessation treatments and reducing barriers to coverage, including out-of-pocket costs.

Acceptance of smoking cessation support and quitting behaviours of women attending Aboriginal Maternal and Infant Health Services for antenatal care.

BACKGROUND: Acceptance of smoking cessation support during antenatal care and associated quitting behaviours of pregnant Aboriginal women or women having an Aboriginal baby has not been investigated. This study aimed to determine, among pregnant women who smoke and attended AMIHS for their antenatal care: 1. The acceptance of smoking cessation support, factors associated with acceptance and barriers to acceptance; 2. The prevalence of quitting behaviours and factors associated with quitting behaviours. METHODS: A cross-sectional telephone survey of women who attended 11 AMIHSs for their antenatal care during a 12 month period in the Hunter New England Local Health District of New South Wales. RESULTS: One hundred women contacted consented to complete the survey (76%). Of those offered cessation support, 68% accepted NRT, 56% accepted follow-up support and 35% accepted a Quitline referral. Participants accepting NRT had greater odds of quitting smoking at least twice during the antenatal period [OR = 6.90 (CI: 1.59-29.7)] and those reporting using NRT for greater than eight weeks had six times the odds of quitting smoking for one day or more [OR = 6.07 (CI: 1.14-32.4)]. CONCLUSIONS: Aboriginal women or women having an Aboriginal baby who smoke make multiple attempts to quit during pregnancy and most women accept smoking cessation support when offered by their antenatal care providers. Acceptance of care and quitting success may be improved with increased focus on culturally appropriate care and enhanced training of antenatal care providers to increase skills in treating nicotine addiction and supporting women to use NRT as recommended by treatment guidelines.

Smoking and Quitting Behavior by Sexual Orientation: A Cross-Sectional Survey of Adults in England.

OBJECTIVE: To assess associations between sexual orientation and smoking and quitting behavior among adults in England. METHODS: Data were collected from 112 537 adults (≥16 years) participating in a nationally representative monthly cross-sectional survey between July 2013 and February 2019. Sexual orientation was self-reported as heterosexual, bisexual, lesbian/gay, or prefer-not-to-say. Main outcomes were smoking status, e-cigarette use, cigarettes per day, time to first cigarette, motivation to stop smoking, motives for quitting, use of cessation support, and past-year quit attempts. Associations were analyzed separately for men and women using multivariable regression models adjusted for relevant covariates. RESULTS: Smoking prevalence is now similar between gay (21.6%), prefer-not-to-say (20.5%) and heterosexual men (20.0%), and lesbian (18.3%) and heterosexual women (16.9%), but remains higher among bisexual men (28.2%, adjusted odds ratio [ORadj] = 1.41, 95% confidence interval [CI] = 1.11 to 1.79) and bisexual women (29.8%, ORadj = 1.64, 95% CI = 1.33 to 2.03) and lower among prefer-not-to-say women (14.5%, ORadj = 0.85, 95% CI = 0.72 to 0.99). Among smokers, bisexuals were less addicted than heterosexuals, with bisexual men smoking fewer cigarettes per day (Badj = -2.41, 95% CI = -4.06 to -0.75) and bisexual women less likely to start smoking within 30 min of waking (ORadj = 0.66, 95% CI = 0.45 to 0.95) than heterosexuals. However, motivation to stop smoking and quit attempts did not differ significantly. CONCLUSIONS: In England, differences in smoking prevalence among people with different sexual orientations have narrowed, primarily driven by a larger decline in smoking rates among sexual minority groups than heterosexuals. Bisexual men and women remain more likely to smoke but have lower levels of addiction while being no less likely to try to quit. IMPLICATIONS: This population-based study provides an up-to-date picture of smoking and quitting behavior in relation to sexual orientation among adults in England. Findings suggest that widely documented disparities in smoking prevalence have narrowed over recent years, with gay men and lesbian women no longer significantly more likely to smoke than heterosexuals, although smoking remains more common among bisexual men and women. Insights into differences in level of addiction, use of cessation support, and motives for quitting may help inform the development of targeted interventions to further reduce smoking among sexual minority groups.

Organizational Characteristics and Readiness for Tobacco-Free Workplace Program Implementation Moderates Changes in Clinician's Delivery of Smoking Interventions within Behavioral Health Treatment Clinics.

BACKGROUND: Smoking is elevated amongst individuals with behavioral health disorders, but not commonly addressed. Taking Texas Tobacco Free is an evidence-based, tobacco-free workplace program that addresses this, in-part, by providing clinician training to treat tobacco use in local mental health authorities (LMHAs). This study examined organizational moderators of change in intervention delivery from pre- to post-program implementation. METHODS: LMHA leaders completed the Organizational Readiness for Implementing Change (ORIC) and provided organization demographics pre-implementation. Clinicians (N = 1237) were anonymously surveyed about their consistent use of the 5As (Asking about smoking; Advising clientele to quit; Assessing willingness to quit; Assisting them to quit; Arranging follow-up) pre- and post-program implementation. Adjusted generalized linear mixed models were used for analyses (responses nested within LMHAs), with interaction terms used to assess moderation effects. RESULTS: Clinician delivery of 5As increased pre- to post-implementation (p < .001). LMHAs with fewer employees (ref = ≤300) demonstrated greater increases in Asking, Assessing, and Assisting over time. LMHAs with fewer patients (ref = ≤10 000) evinced greater changes in Asking over time. Less initial ORIC Change Efficacy, Change Commitment, and Task Knowledge were each associated with greater pre- to post-implementation changes in Asking. Less initial Task Knowledge was associated with greater increases in Advising, Assessing, and Assisting. Finally, less initial Resource Availability was associated with greater increases in Assisting (all moderation term ps < .025). CONCLUSION: The smallest and least ready LMHAs showed the largest gains in tobacco cessation intervention delivery; thus, low initial readiness was not a barrier for program implementation, particularly when efficacy-building training and resources are provided. IMPLICATIONS: This study examined organizational moderators of increases in tobacco cessation treatment delivery over time following the implementation of a comprehensive tobacco-free workplace program within 20 of 39 LMHAs across Texas (hundreds of clinics; servicing >50% of the state) from 2013 to 2018. Overall, LMHAs with fewer employees and patients, and that demonstrated the least initial readiness for change, evinced greater gains in intervention delivery. Findings add to dissemination and implementation science by supporting that low initial readiness was not a barrier for this aspect of tobacco-free workplace program implementation when resources and clinician training sessions were provided.