LGBTQ Utilization of a Statewide Tobacco Quitline: Engagement and Quitting Behavior, 2010-2022.

INTRODUCTION: Lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ) individuals use tobacco at disproportionately high rates but are as likely as straight tobacco users to want to quit and to use quitlines. Little is known about the demographics and geographic distribution of LGBTQ quitline participants, their engagement with services, or their long-term outcomes. AIMS AND METHODS: Californians (N = 333 429) who enrolled in a statewide quitline 2010-2022 were asked about their sexual and gender minority (SGM) status and other baseline characteristics. All were offered telephone counseling. A subset (n = 19 431) was followed up at seven months. Data were analyzed in 2023 by SGM status (LGBTQ vs. straight) and county type (rural vs. urban). RESULTS: Overall, 7.0% of participants were LGBTQ, including 7.4% and 5.4% of urban and rural participants, respectively. LGBTQ participants were younger than straight participants but had similar cigarette consumption. Fewer LGBTQ participants reported a physical health condition (42.1% vs. 48.4%) but more reported a behavioral health condition (71.1% vs. 54.5%; both p's < .001). Among both LGBTQ and straight participants, nearly 9 in 10 chose counseling and both groups completed nearly three sessions on average. The groups had equivalent 30-day abstinence rates (24.5% vs. 23.2%; p = .263). Similar patterns were seen in urban and rural subgroups. CONCLUSIONS: LGBTQ tobacco users engaged with and appeared to benefit from a statewide quitline even though it was not LGBTQ community-based. A quitline with staff trained in LGBTQ cultural competence can help address the high prevalence of tobacco use in the LGBTQ community and reach members wherever they live. IMPLICATIONS: This study describes how participants of a statewide tobacco quitline broke down by sexual orientation and gender. It compares participants both by SGM status and by type of county to provide a more complete picture of quitline participation both in urban areas where LGBTQ community-based cessation programs may exist and in rural areas where they generally do not. To our knowledge, it is the first study to compare LGBTQ and straight participants on their use of quitline services and quitting aids, satisfaction with services received, and rates of attempting quitting and achieving prolonged abstinence from smoking.

Re-engagement of Low-Income Smokers in Quitline Services: Effects of Incentives and Method of Contact.

INTRODUCTION: Financial incentives have been shown to improve recruitment of low-income smokers into tobacco quitline services and to improve cessation outcomes. The present study evaluated their use to re-engage low-income smokers who had already used a quitline. AIMS AND METHODS: Randomly selected Medicaid smokers (N = 5200) who had previously enrolled in a quitline were stratified by time since enrollment (3, 6, 9, or 12 months) and randomly assigned in a 2 × 4 factorial design to receive, by mail or telephone, an invitation to reengage, with an offer of no financial incentive or $10, $20, or $40. The primary outcome measure was re-engagement, defined as use of an additional evidence-based quitline service within 90 days. Data were collected from May 2014 to October 2015 and analyzed in 2022. RESULTS: Of 5200 participants invited to reengage in quitline services, 9.3% did so within 90 days, compared to 6.3% of a randomly selected comparison group (n = 22 614, p < .0001). Letters resulted in greater re-engagement than calls (10.9% vs. 7.8%, respectively, p = .0001). Among letters, there was a dose-response relationship between incentive level and re-engagement rates (p = .003). Re-engagement decreased as time since enrollment increased, from 13.7% at 3 months to 5.7% at 12 months (all p's < 0.0001). CONCLUSIONS: Low-income smokers who previously used quitline services can be motivated to reengage in treatment. Mailed letters and automated calls are effective re-engagement strategies. Financial incentives can increase the effectiveness of re-engagement letters. Inviting Medicaid smokers to re-engage with quitline treatment may help to address socioeconomic health disparities and should be standard practice. IMPLICATIONS: Nicotine addiction is a chronic relapsing disorder, yet most cessation services are designed to help smokers through only one quit attempt. Smoking is increasingly concentrated in populations with physical and psychological co-morbidities, which can make quitting more difficult and impact whether smokers reach out for additional help following relapse. This study examined whether the timing, method, and content of an offer for further assistance influenced re-engagement rates for a vulnerable population of smokers-Medicaid beneficiaries. Relapsing smokers are responsive to re-engagement offers as early as three months, but there is a closing window of opportunity to reach them.

A Proactive Outreach Strategy Using a Local Area Code to Refer Unassisted Smokers in a Safety Net Health System to a Quitline: A Pragmatic Randomized Trial.

INTRODUCTION: Proactive outreach offering tobacco treatment is a promising strategy outside of clinical settings, but little is known about factors for engagement. The study objective is to examine the impact of caller area code in a proactive, phone-based outreach strategy on consenting low-income smokers to a quitline e-referral. AIMS AND METHODS: This pragmatic randomized trial included unassisted adult smokers (n = 685), whose preferred language was English or Spanish, in a Los Angeles safety-net health system. Patients were randomized to receive a call from a local or generic toll-free area code. Log-binomial regression was used to examine the association between area code and consent to a quitline e-referral, adjusted for age, gender, language, and year. RESULTS: Overall, 52.1% of the patients were contacted and, among those contacted, 30% consented to a referral. The contact rate was higher for the local versus generic area code, although not statistically significant (55.6% vs. 48.7%, p = .07). The consent rate was higher in the local versus generic area code group (adjusted prevalence ratio 1.29, 95% CI 1.01-1.65) and also higher for patients under 61 years old than over (adjusted prevalence ratio 1.47, 95% CI 1.07-2.01), and Spanish-speaking than English-speaking patients (adjusted prevalence ratio 1.40, 95% CI 1.05-1.86). CONCLUSIONS: Proactive phone-based outreach to unassisted smokers in a safety net health system increased consent to a quitline referral when local (vs. generic) area codes were used to contact patients. While contact rate did not differ by area code, proactive phone-based outreach was effective for engaging younger and Spanish-speaking smokers. IMPLICATIONS: Population-based proactive phone-based outreach from a caller with a local area code to unassisted smokers in a safety net health system increases consent to an e-referral for quitline services. Findings suggest that a proactive phone-based outreach, a population-based strategy, is an effective strategy to build on the visit-based model and offer services to tobacco users, regardless of the motivational levels to quit.

American Indian/Alaska Native Smokers' Utilization of a Statewide Tobacco Quitline: Engagement and Quitting Behaviors From 2008 to 2018.

INTRODUCTION: The objective of this study was to examine access, engagement, and quitting behaviors of American Indian/Alaska Native (AIAN) callers to the California Smokers' Helpline. Telephone counseling is the primary function of the quitline. The overarching theoretical framework for California's quitline is social cognitive theory, although it also utilizes motivational interviewing and cognitive-behavioral strategies. AIMS AND METHODS: AIAN (n = 16 089) and White (n = 173 425) California quitline callers from 2009 to 2018 were compared on their characteristics, engagement, and quitting behaviors. Quitline callers responded to a telephone survey at intake. A random selection was called for evaluation 7 months later (White n = 8194, AIAN n = 764). Data from the 2009 to 2017 California Health Interview Survey (CHIS) were used as a reference point for AIANs (AIAN n = 1373). RESULTS: The quitline and CHIS had similar proportions of AIANs (4.6% vs. 4.3%, respectively). AIAN smokers were more likely than White smokers to report physical (53.6% vs. 44.9%) and mental (65.7% vs. 57.8%) health conditions at intake. AIANs were more likely to participate in counseling than White callers (67.1% vs. 65.7%). Among those who received counseling, AIANs had greater odds than White smokers of making a quit attempt (adjusted odds ratio = 1.39 [1.06, 1.81]) and similar odds of quitting for 180 days (adjusted odds ratio = 0.95 [0.69, 1.31]). CONCLUSIONS: Rates of access, engagement, and quitting suggest that individualized quitline counseling was as effective with AIANs as it was with White smokers. Increasing efforts to refer AIANs to existing state quitlines can help more smokers quit. IMPLICATIONS: This study showed that AIAN smokers were well represented among California quitline callers, even without a targeted campaign. It also found that AIAN smokers engaged in quitline services and were as able to quit as their White counterparts were, even after adjusting for other baseline characteristics. One implication is that public health programs can promote quitlines using broad-based campaigns knowing that they will still motivate AIAN smokers to seek help. Another implication is that a standard, individualized counseling protocol delivered by culturally competent quitline staff can effectively help AIAN smokers to quit.

Telephone care co-ordination for tobacco cessation: randomised trials testing proactive versus reactive models.

OBJECTIVES: We conducted two parallel studies evaluating the effectiveness of proactive and reactive engagement approaches to telephone treatment for smoking cessation. METHODS: Patients who smoked and were interested in quitting were referred to this study and were eligible if they were current smokers and had an address and a telephone number. The data were collected at 35 Department of Veterans Affairs (VA) sites, part of four VA medical centres in both California and Nevada. In study 1, participants received multisession counselling from the California Smokers' Helpline (quitline). In study 2, they received self-help materials only. Patients were randomly assigned by week to either proactive or reactive engagement, and primary care staff were blind to this assignment. Providers gave brief advice and referred them via the electronic health record to a tobacco co-ordinator. All patients were offered cessation medications. OUTCOME: Using complete case analysis, in study 1 (quitline), patients in the proactive condition were more likely than those in the reactive condition to report abstinence at 6 months (21.0% vs 16.4%, p=0.03). No difference was found between conditions in study 2 (self-help) (16.9% vs 16.5%, p=0.88). Proactive outreach resulted in increased use of cessation medications in both the quitline (70.1% vs 57.6%, p<0.0001) and the self-help studies (74.5% vs 48.2%, p<0.0001). CONCLUSION: Proactive outreach with quitline intervention was associated with greater long-term abstinence. Both studies resulted in high rates of medication use. Sites should use a proactive outreach approach and provide counselling whenever possible. TRIAL REGISTRATION NUMBER: NCT00123682.

Use of electronic cigarettes in smoke-free environments.

BACKGROUND: Although most US states prohibit cigarette smoking in public places and worksites, fewer jurisdictions regulate indoor use of electronic cigarettes (e-cigarettes). Given the dramatic increase in e-cigarette use and concern about its impact on non-users, there is a need to examine the use of e-cigarettes in smoke-free environments and related attitudes and perceptions. METHODS: Recruited from a nationally representative adult panel (GfK's KnowledgePanel), 952 current users of e-cigarettes completed a cross-sectional online survey in 2014. Multivariate logistic regressions were conducted to examine the factors associated with ever using e-cigarettes in smoke-free environments. RESULTS: Overall, 59.5% of e-cigarette users had vaped where cigarette smoking was not allowed. Young adults (18-29 years) were most likely to do so, 74.2%. The places of first-time use most often mentioned were service venues (bar, restaurant, lounge and club), 30.7%, followed by worksites, 23.5%. Daily e-cigarette users were more likely to have vaped in smoke-free environments than non-daily users (OR=2.08, p=0.012). Only 2.5% of those who used e-cigarettes in smoke-free environments reported negative reactions from other people. Most e-cigarette users did not think e-cigarettes are harmful to themselves or to by-standers, and thus should not be banned where smoking is; those who had used e-cigarettes where smoking is banned were even more likely to hold these views. CONCLUSIONS: E-cigarette use in smoke-free environments was common, suggesting that most e-cigarette users do not consider smoke-free laws to apply to e-cigarettes. Explicit laws should be considered if jurisdictions want to prohibit e-cigarette use in public places.

Quitting smoking before and after varenicline: a population study based on two representative samples of US smokers.

BACKGROUND: Varenicline is known to have greater efficacy than other pharmacotherapy for treating nicotine dependence and has gained popularity since its introduction in 2006. This study examines if adding varenicline to existing pharmacotherapies increased the population cessation rate. METHODS: Data are from two cross-sectional US Current Population Surveys-Tobacco Use Supplements (2003 and 2010-2011). Smokers and recent quitters 18 or older (N=34 869 in 2003, N=27 751 in 2010-2011) were asked if they had used varenicline, bupropion or nicotine replacement therapies (NRT) in their most recent quit attempt. The annual cessation rate, as well as the per cent of smokers who had quit for ≥3 months, was compared between surveys. RESULTS: Varenicline use increased from 0% in 2003 to 10.9% in 2010-2011, while use of bupropion decreased from 9.1% to 3.5%, and NRT from 24.5% to 22.4%. Use of any pharmacotherapy increased by 2.4 percentage points. Varenicline users stayed on cessation aids longer and were less likely to relapse than users of other pharmacotherapies in the first 3 months of a quit attempt, after which the difference was no longer significant. The change in annual cessation rate was negligible, from 4.5% in 2003 to 4.7% in 2010-2011 (p=0.36). CONCLUSIONS: Addition of varenicline to the list of approved cessation aids has mainly led to displacement of other therapies. As a result, there was no meaningful change in population cessation rate despite a remarkable increase in varenicline use. The population impact of a new therapy is a function of more than efficacy or reach of the therapy.

Long-term e-cigarette use and smoking cessation: a longitudinal study with US population.

BACKGROUND: E-cigarettes have grown popular. The most common pattern is dual use with conventional cigarettes. Dual use has raised concerns that it might delay quitting of cigarette smoking. This study examined the relationship between long-term use of e-cigarettes and smoking cessation in a 2-year period. METHODS: A nationally representative sample of 2028 US smokers were surveyed in 2012 and 2014. Long-term e-cigarette use was defined as using e-cigarettes at baseline and follow-up. Use of e-cigarettes only at baseline or at follow-up was defined as short-term use. Non-users did not use e-cigarettes at either survey. Quit attempt rates and cessation rates (abstinent for 3 months or longer) were compared across the three groups. RESULTS: At 2-year follow-up, 43.7% of baseline dual users were still using e-cigarettes. Long-term e-cigarette users had a higher quit attempt rate than short-term or non-users (72.6% vs 53.8% and 45.5%, respectively), and a higher cessation rate (42.4% vs 14.2% and 15.6%, respectively). The difference in cessation rate between long-term users and non-users remained significant after adjusting for baseline variables, OR=4.1 (95% CI 1.5 to 11.4) as did the difference between long-term users and short-term users, OR=4.8 (95% CI 1.6 to 13.9). The difference in cessation rate between short-term users and non-users was not significant, OR=0.9 (95% CI 0.5 to 1.4). Among those making a quit attempt, use of e-cigarettes as a cessation aid surpassed that of FDA-approved pharmacotherapy. CONCLUSIONS: Short-term e-cigarette use was not associated with a lower rate of smoking cessation. Long-term use of e-cigarettes was associated with a higher rate of quitting smoking.

Comparison of smoking cessation between education groups: findings from 2 US National Surveys over 2 decades.

OBJECTIVES: We examined smoking cessation rate by education and determined how much of the difference can be attributed to the rate of quit attempts and how much to the success of these attempts. METHODS: We analyzed data from the National Health Interview Survey (NHIS, 1991-2010) and the Tobacco Use Supplement to the Current Population Survey (TUS-CPS, 1992-2011). Smokers (≥ 25 years) were divided into lower- and higher-education groups (≤ 12 years and >12 years). RESULTS: A significant difference in cessation rate between the lower- and the higher-education groups persisted over the last 2 decades. On average, the annual cessation rate for the former was about two thirds that of the latter (3.5% vs 5.2%; P<.001, for both NHIS and TUS-CPS). About half the difference in cessation rate can be attributed to the difference in quit attempt rate and half to the difference in success rate. CONCLUSIONS: Smokers in the lower-education group have consistently lagged behind their higher-education counterparts in quitting. In addition to the usual concern about improving their success in quitting, tobacco control programs need to find ways to increase quit attempts in this group.

A Multistate Asian-Language Tobacco Quitline: Addressing a Disparity in Access to Care.

OBJECTIVES: We conducted a dissemination and implementation study to translate an intervention protocol for Asian-language smokers from an efficacy trial into an effective and sustainable multistate service. METHODS: Three state tobacco programs (in California, Colorado, and Hawaii) promoted a multistate cessation quitline to 3 Asian-language-speaking communities: Chinese, Korean, and Vietnamese. The California quitline provided counseling centrally to facilitate implementation. Three more states joined the program during the study period (January 2010-July 2012). We assessed the provision of counseling, quitting outcomes, and dissemination of the program. RESULTS: A total of 2004 smokers called for the service, with 88.3% opting for counseling. Among those opting for counseling, the 6-month abstinence rate (18.8%) was similar to results of the earlier efficacy trial (16.4%). CONCLUSIONS: The intervention protocol, based on an efficacy trial, was successfully translated into a multistate service and further disseminated. This project paved the way for the establishment of a national quitline for Asian-language speakers, which serves as an important strategy to address disparities in access to care.

Four hundred and sixty brands of e-cigarettes and counting: implications for product regulation.

INTRODUCTION: E-cigarettes are largely unregulated and internet sales are substantial. This study examines how the online market for e-cigarettes has changed over time: in product design and in marketing messages appearing on websites. METHODS: Comprehensive internet searches of English-language websites from May-August 2012 and December 2013-January 2014 identified brands, models, flavours, nicotine strengths, ingredients and product claims. Brands were divided into older and newer groups (by the two searches) for comparison. RESULTS: By January 2014 there were 466 brands (each with its own website) and 7764 unique flavours. In the 17 months between the searches, there was a net increase of 10.5 brands and 242 new flavours per month. Older brands were more likely than newer brands to offer cigalikes (86.9% vs. 52.1%, p<0.01), and newer brands more likely to offer the more versatile eGos and mods (75.3% vs. 57.8%, p<0.01). Older brands were significantly more likely to claim that they were healthier and cheaper than cigarettes, were good substitutes where smoking was banned and were effective smoking cessation aids. Newer brands offered more flavours per brand (49 vs. 32, p<0.01) and were less likely to compare themselves with conventional cigarettes. CONCLUSIONS: The number of e-cigarette brands is large and has been increasing. Older brands tend to highlight their advantages over conventional cigarettes while newer brands emphasise consumer choice in multiple flavours and product versatility. These results can serve as a benchmark for future research on the impact of upcoming regulations on product design and advertising messages of e-cigarettes.

Use of e-cigarettes by individuals with mental health conditions.

BACKGROUND: Individuals with mental health conditions (MHC) have disproportionately high tobacco-related morbidity and mortality due to high smoking prevalence rates. As high consumers of cigarettes, smokers with MHC may consider using e-cigarettes as an alternative form of nicotine delivery. OBJECTIVE: Examination of the susceptibility to use e-cigarettes by individuals with MHC. METHODS: A U.S. population survey with a national probability sample (n=10,041) was used to assess ever use and current use of regular cigarettes, e-cigarettes, and U.S. Food and Drug Administration-approved pharmacotherapy for smoking cessation. Survey respondents provided information about whether they had been diagnosed with an anxiety disorder, depression, or other MHC. RESULTS: Individuals with MHC were more likely to have tried e-cigarettes (14.8%) and to be current users of e-cigarettes (3.1%) than those without MHC (6.6% and 1.1%, respectively; p<0.01). Ever smokers with MHC were also more likely to have tried approved pharmacotherapy (52.2% vs. 31.1%, p<0.01) and to be currently using these products (9.9% vs. 3.5%, p<0.01) than those without MHC. Additionally, current smokers with MHC were more susceptible to future use of e-cigarettes than smokers without MHC (60.5% vs. 45.3%, respectively, p<0.01). CONCLUSIONS: Smokers with MHC are differentially affected by the rise in popularity of e-cigarettes. Clinical interventions and policies for tobacco control on e-cigarettes should take into account the possible outcomes and their implications for this priority population.

Gender differences in family meal frequency and their association with substance use and mental health among middle and high school students.

Background: Family meals are associated with adolescent health outcomes. Studies have reported that girls are less likely than boys to have dinner with their families. Purpose: This study examined gender differences in family meal frequency and the relationship between meal frequency and other health measures, using a large and representative sample of California middle and high school students. Methods: This study analyzed data from the 2019-2020 California Student Tobacco Survey (159,904 students in grades 8, 10, and 12). Dinner with the family 5-7 times per week was defined as high frequency. Students reported substance use (of tobacco, marijuana, and alcohol) and rated their mental health and happiness in their home life. All analyses were weighted to reflect the California student population. Results: Fewer than half (44.7%) of students reported a high frequency of family meals, with boys more likely than girls and those who identified their gender in another way the least likely to do so (48.3%, 42.2%, 34.0%, respectively). Gender differences persisted across demographics and the quality of family relationships, and were evident as early as eighth grade. Less frequent family meals were associated with poorer mental health (OR = 1.34, 95% CI: 1.29-1.40) and substance use (OR = 1.27, 95% CI: 1.21-1.32), controlling for the effects of demographics and family dynamics. Conclusion: Gender differences in family meal frequency emerge early in adolescence and persist across demographics and family relationships. Given that family meals play a protective role in an adolescent's life, these gender differences are concerning.

Quitline Promotion to Medicaid Members Who Smoke: Effects of COVID-19-Specific Messaging and a Free Patch Offer.

INTRODUCTION: People who smoke are at increased risk of serious COVID-19-related disease but have had reduced access to cessation treatment during the pandemic. This study tested 2 approaches to promoting quitline services to Medicaid members who smoke at high rates: using COVID-19-specific messaging and offering free nicotine patches. The hypotheses were that both would increase enrollment. METHODS: A California Medicaid mailing from October 2020 to January 2021 (N=7,489,093) included 4 versions of a flyer following a 2 × 2 design comparing generic with COVID-19-specific messaging and a no-patch with free-patch offer. The main outcome measure was quitline enrollments. Quit outcomes (attempted quitting, quit ≥7 days, quit ≥30 days) were assessed at 2 months. A subsequent free-patch offer was sent to all members (N=7,577,198) from April 2021 to June 2021. Data were collected in 2020-2021 and analyzed in 2022. RESULTS: The first mailing generated 1,753 enrollments. Response rates were 0.023% and 0.024% for generic and COVID-19-specific messaging, respectively (p=0.538), and 0.006% and 0.041% for no-patch and free-patch offers, respectively, the latter being 6.7 times more effective than the former (p<0.0001). Quit outcomes were comparable across conditions. The subsequent free-patch offer generated 3,546 enrollments at $40.28 per enrollee. CONCLUSIONS: In a Medicaid mailing during COVID-19, offering free patches generated more than 6 times as many quitline enrollments as offering generic help. COVID-19-specific messaging was no more effective than generic messaging. Offering free patches was highly cost-effective. Medicaid programs partnering with quitlines should consider using similar strategies, especially during a pandemic when regular health care is disrupted.

Quitlines and nicotine replacement for smoking cessation: do we need to change policy?

In the past 20 years, public health initiatives on smoking cessation have increased substantially. Randomized trials indicate that pharmaceutical cessation aids can increase success by 50% among heavier smokers who seek help, and use of these aids has increased markedly. Quitlines provide a portal through which smokers can seek assistance to quit and are promoted by tobacco control programs. Randomized trials have demonstrated that telephone coaching following a quitline call can also increase quitting, and a combination of quitlines, pharmaceutical aids and physician monitoring can help heavier smokers to quit. While quit attempts have increased, widespread dissemination of these aids has not improved population success rates. Pharmaceutical marketing strategies may have reduced expectations of the difficulty of quitting, reducing success per attempt. Some policies actively discourage unassisted smoking cessation despite the documented high success rates of this approach. There is an urgent need to revisit public policy on smoking cessation.

Perceived barriers to adopting an Asian-language quitline service: a survey of state funding agencies.

This study examined the perceived barriers to adopting an Asian-language quitline service among agencies that fund current state quitline services across the U.S. A self-administered survey on organizational readiness was sent to the funding agencies of 47 states plus Washington D.C. that currently fund state quitlines in English and Spanish, but not in Asian languages (response rate = 58%). The 2010 Census and the 2009 North American Quitline Consortium Survey were used to obtain the proportion of Asians among the state population and state quitline funding level, respectively. The most frequently cited reasons for not adopting an Asian quitline are: the Asian population in the state would be too small (71.4%), costs of service would be too high (57.1%), and the belief that using third-party translation for counseling is sufficient (39.3%). However, neither the actual proportion of Asians among the state population (range = 0.7% to 7.3%), nor the quitline funding level (range = $0.17 to $20.8 per capita) predicts the reported reasons. The results indicate that quitline funding agencies need more education on the necessity and the feasibility of an Asian-language quitline. Three states are currently participating in a multi-state Asian-language quitline in which each state promotes the service to its residents and one state (CA) provides the services for all the states. This centralized multi-state Asian-language quitline operation, which helps reduce practical barriers in adoption and disparity in access to service, could be extended.

Targeting Nonsmokers to Help Smokers Quit: Features of a Large-scale Intervention.

Smoking continues to be a major public health problem, despite a substantial decline in prevalence rates over the last decades. Quit smoking interventions typically target smokers, whether through individual or group treatment or through broader public health campaigns. Yet, nonsmokers represent a vast and largely untapped resource to help smokers quit. This article describes an innovative approach that targeted nonsmokers through a media-style campaign with repeated reminders about smoking cessation. We tested the nonsmoker intervention in a large randomized trial and showed it to be effective in helping smokers quit. Components of the intervention included repeated mailings with relevant cessation messages over a 10-week period, 2 brief check-in telephone calls, and access to a study Web site. In this article, we discuss details of the intervention development, content, and implementation.

Offers of Cigarettes and E-Cigarettes Among High School Students: A Population Study from California.

Receiving offers of cigarettes or e-cigarettes can contribute to the progression from intention to actual use. However, there is a lack of data about the prevalence or characteristics of youth being offered cigarettes or e-cigarettes. A random sample of 91 high schools in the state of California (with 40,137 students) participated in the 2015⁻16 California Student Tobacco Survey. Offers of cigarettes and e-cigarettes in the last 30 days were assessed. Separate multilevel logistical regression models identified student characteristics associated with being offered cigarettes and e-cigarettes. On average, 11.1% and 16.1% of all students reported being offered cigarettes and e-cigarettes in the last 30 days, respectively. Among those who received offers of cigarettes, 45.5% were never smokers. Among those who received offers of e-cigarettes, 29.6% were never vapers. Male students were more likely to report being offered an e-cigarette than female students (Adjusted Odds Ratio (AOR) 1.13), as were students with friends that used e-cigarettes (AOR 5.14⁻23.31) and those with high sensation seeking tendencies (AOR 1.33). Similar characteristics were associated with offers of cigarettes. Including measures of offers of cigarettes and e-cigarettes in surveillance systems could help identify those at risk of future cigarette and e-cigarette use.

Telephone-based tobacco-cessation treatment: re-enrollment among diverse groups.

BACKGROUND: Telephone quitlines are utilized by diverse individuals and represent an effective tobacco-cessation modality. Quitlines allow tobacco users to seek support for multiple quit attempts. Little is known about how frequently tobacco users take advantage of this opportunity. No studies have been conducted to determine how communication strategies affect quitline re-enrollments. This study aimed to determine the rates of quitline re-enrollment and to compare the responses of people of varying racial/ethnic identities to invitations utilizing different communication strategies. DESIGN: Four-cell RCT. SETTING/ PARTICIPANTS: Random sample of 2400 tobacco users who enrolled into services during 2006, with oversampling of ethnic populations. INTERVENTION: Between November 2006 and January 2007, participants received either no invitation to re-enroll or were invited to re-enroll into services via a letter, a letter with ethnic-specific content, or a letter and a telephone call. MAIN OUTCOME MEASURES: Re-enrollment into quitline services. RESULTS: Analysis of the 252 days prior to the intervention resulted in a spontaneous re-enrollment rate of 0.54% per 30 days. Recruitment using mailers did not significantly change this rate; the addition of telephone calls increased re-enrollment to 6.93% per 30 days. No significant differences were found among the subpopulations studied. Invalid addresses (16%); invalid telephone numbers (29.1%); and the inability to reach subjects after five call attempts (37.9%) were barriers to recruitment. CONCLUSIONS: For those who have previously called quitlines for help, proactive re-enrollment can be one way to initiate a new quit attempt after relapse. This study has shown that it is feasible to re-enroll former quitline participants, making the test of effectiveness the next logical step.

Medical Marijuana Availability, Price, and Product Variety, and Adolescents' Marijuana Use.

PURPOSE: We aimed to examine the availability of medical marijuana dispensaries, price of medical marijuana products, and variety of medical marijuana products in school neighborhoods and their associations with adolescents' use of marijuana and susceptibility to use marijuana in the future. METHODS: A representative sample of 8th, 10th, and 12th graders (N = 46,646) from 117 randomly selected schools in California participated in the cross-sectional 2015-2016 California Student Tobacco Survey (CSTS). Characteristics of medical marijuana dispensaries in California were collected and combined with school locations to compute availability, price, and product variety of medical marijuana in school neighborhoods. Multilevel logistic regressions with random intercepts at school level were conducted to test the associations, accounting for individual and school socioeconomic characteristics. RESULTS: The distance from school to the nearest medical marijuana dispensary (within 0- to 1-mi and 1- to 3-mi bands) was not associated with adolescents' use of marijuana in the past month or susceptibility to use marijuana in the future, nor was the weighted count of medical marijuana dispensaries within the 3-mi band of school. Neither the product price nor the product variety in the dispensary nearest to school was associated with marijuana use or susceptibility to use. The results were robust to different specifications of medical marijuana measures. CONCLUSIONS: There was no evidence supporting the associations of medical marijuana availability, price, or product variety around school with adolescents' marijuana use and susceptibility to use.