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Supplementary Table 1. Relationships of sociodemographic, cancer- and other health-related variables with having quit smoking after diagnosis versus current smoking. Supplementary Table 2. Prevalence of intentions to quit in relationship to sociodemographic, cancer, and other health-related variables among current smokers. Supplementary Table 3. Intentions of quitting within a month versus later in relationship to sociodemographic, cancer, and other health-related variables among current smokers.

Background: Smoking is detrimental to recovery and survival from cancer, but many cancer survivors continue to smoke. Information is lacking on smoking patterns of survivors many years after diagnosis and correlates of smoking status and patterns, likelihood of quitting, and intentions to quit.Methods: Cross-sectional analyses were conducted among survivors of 10 cancers recruited by stratified random sampling from cancer registries in a nationwide, longitudinal, quality-of-life study (n = 2,938).Results: Approximately 9 years after diagnosis, 9.3% of all survivors were current (past 30-day) smokers. Smoking prevalence was highest among survivors of bladder (17.2%), lung (14.9%), and ovarian (11.6%) cancers. Most current smokers (83%) smoked daily, averaging 14.7 cigarettes per day (cpd). Forty percent of daily smokers smoked more than 15 cpd. Nondaily smokers smoked a mean of 10.9 days in the last 30 days and averaged 5.7 cpd on smoking days. Current smoking was associated with younger age, lower education and income, and greater alcohol consumption. Quitting after diagnosis was associated with having a smoking-related cancer. Roughly, a third of current smokers intended to quit, 40% within the next month. The odds of intending to quit were lower if survivors were married, older, or smoked more.Conclusions: This population-based study indicated that smoking can persist long after initial diagnosis and at high levels and identified characteristics associated with quitting and intentions to quit.Impact: Findings can be used to identify survivors most at risk for continued smoking and to inform tailoring of cessation treatments for survivors. Cancer Epidemiol Biomarkers Prev; 23(9); 1783–92. ©2014 AACR.

BACKGROUND Several stand-alone smartphone apps have used serious games to provide an engaging approach to quitting smoking. To date, the uptake of these games has been modest, and the evidence base for their efficacy in promoting smoking cessation is still evolving. The feasibility of integrating a game into a popular smoking cessation app is unclear. OBJECTIVE The aim of this paper is to describe the design and iterative development of the Inner Dragon game within Smoke Free, a smartphone app with proven efficacy, and the results of a single-arm feasibility trial as part of a broader program that seeks to assess the effectiveness of the gamified app for smoking cessation. METHODS In Phase 1, the study team undertook an multi-step process to design and develop the game, including virtual focus group discussions with end users (N=15). In Phase 2, a single-arm study of Smoke Free users who were trying to quit (N=30) was conducted to assess the feasibility and acceptability of the integrated game and to establish the feasibility of the planned procedures for a randomized pilot trial. RESULTS Phase 1 led to the final design of Inner Dragon, informed by principles from psychology and behavioral economics and incorporating several game mechanics designed to increase user engagement and retention. Inner Dragon users maintain an evolving pet dragon that serves as a virtual avatar for the users’ progress in quitting. The Phase 2 study established the feasibility of the study methods. The mean number of app sessions completed per user was 13.8 (median 8.0, range 1.0 to 46.0), with a mean duration per session of 5.8 minutes (median 1.1, range 0.0 to 81.1). Three-quarters of participants entered the Inner Dragon game at least once, and had a mean of 2.2 ± 2.2 sessions of game use. Use of Inner Dragon was positively associated with total number of app sessions (correlation 0.57). The mean satisfaction score of participants who provided ratings (n=11) was 4.2 on a 5-point scale, although satisfaction ratings for Inner Dragon were only completed by 3 participants. CONCLUSIONS Evidence supported further development and evaluation of Inner Dragon as a beneficial feature of Smoke Free. The next step of this research is to conduct a randomized pilot trial to determine whether the gamified version of the app increases user engagement over a standard version of the app.

This cohort study examines changes in cigarette sales in Massachusetts and its bordering states following a comprehensive ban on menthol flavor in Massachusetts in 2020.

Background: Cannabis use is increasing, including among smokers, an at-risk population for cancer. Research is equivocal on whether using cannabis inhibits quitting cigarettes. The current longitudinal study investigated associations between smoking cannabis and subsequently quitting cigarettes. Methods: Participants were 4,535 adult cigarette smokers from a cohort enrolled in the American Cancer Society's Cancer Prevention Study-3 in 2009–2013. Cigarette quitting was assessed on a follow-up survey in 2015–2017, an average of 3.1 years later. Rates of quitting cigarettes at follow-up were examined by retrospectively assessed baseline cannabis smoking status (never, former, recent), and by frequency of cannabis smoking among recent cannabis smokers (low: ≤3 days/month; medium: 4–19 days/month; high: ≥20 days/month). Logistic regression models adjusted for sociodemographic factors, smoking- and health-related behaviors, and time between baseline and follow-up. Results: Adjusted cigarette quitting rates at follow-up did not differ significantly by baseline cannabis smoking status [never 36.2%, 95% confidence interval (CI), 34.5–37.8; former 34.1%, CI, 31.4–37.0; recent 33.6%, CI, 30.1–37.3], nor by frequency of cannabis smoking (low 31.4%, CI, 25.6–37.3; moderate 36.7%, CI, 30.7–42.3; high 34.4%, CI, 28.3–40.2) among recent baseline cannabis smokers. In cross-sectional analyses conducted at follow-up, the proportion of cigarette smokers intending to quit smoking cigarettes in the next 30 days did not differ by cannabis smoking status (P = 0.83). Conclusions: Results do not support the hypothesis that cannabis smoking inhibits quitting cigarette smoking among adults. Impact: Future longitudinal research should include follow-ups of >1 year, and assess effects of intensity/frequency of cannabis use and motivation to quit on smoking cessation.

Background Fear of cancer recurrence (FCR) adversely affects quality of life. Cigarette smoking increases the risk of recurrence and may exacerbate FCR among survivors who smoke. FCR also may motivate quitting, but research on whether quitting reduces long-term survivors' FCR is lacking. Among long-term survivors of various cancers, the authors investigated relationships between quitting (vs smoking) and FCR, controlling for sociodemographic, cancer-related, and health-related variables. Methods Data from the American Cancer Society's Longitudinal Study of Cancer Survivors-I were used in generalized estimating equations to compare FCR at 3 waves (T1-T3) after diagnosis between 2 groups; survivors who reported current smoking (n = 196) approximately 9 years after diagnosis (at T3) or who, based on T3 recall of quitting age, had quit smoking after diagnosis (n = 97). T3 cross-sectional analyses among current smokers examined associations of FCR with smoking level and intentions of quitting. Results A significant smoking status × time interaction (P = .003) indicated that only quitters experienced decreases in FCR from T1 to T3 (P = .007). At T3, FCR was significantly lower among quitters than among current smokers (P = .05), and current smokers reported that FCR caused more functioning impairments (eg, disruption of relationships, everyday activities, mood) than quitters (P = .001). Cross-sectional analyses (T3) among smokers found that heavier smoking predicted less attempts to cope with FCR (P = .04) and that reassurance behaviors (eg, self-examination for cancer) predicted stronger quitting intentions (P = .02). Conclusions Quitting smoking lowers FCR, and FCR may disrupt functioning among continuing smokers. Interventions for FCR should be multimodal and should treat both psychological distress and health-related behaviors such as smoking.

Cancer survivors who smoke cigarettes face health risks from continued smoking. Some smokers use e-cigarettes to reduce combustible cigarette use, but research on whether cancer survivors do the same is limited. Research is needed to understand whether smokers who are cancer survivors use e-cigarettes at higher rates than smokers never diagnosed with cancer, to inform provider-patient discussions about e-cigarettes. Using cross-sectional data from current cigarette smokers in Wave 1 (2013–2014) of the Population Assessment of Tobacco Health (PATH) study, we compared cancer survivors (n = 433) and those without a prior cancer diagnosis (n = 10,872) on e-cigarette use and reasons for use. Among smokers, 59.4% of cancer survivors and 63.2% of those without a cancer diagnosis had ever used e-cigarettes, and nearly one-quarter of both groups (23.1% and 22.3%, respectively) reported being current users. Multivariate results, however, suggest that cancer survivors might be more likely to be ever (OR = 1.28; p = .05) or current (OR = 1.25; p = .06) e-cigarette users compared to those never diagnosed, although results were marginally significant. The majority of both groups (> 71%) reported using e-cigarettes for perceived health-related reasons—including smoking reduction. Our study found that among smokers, cancer survivors were using e-cigarettes at similar rates as never-diagnosed smokers and both groups used e-cigarettes largely for perceived health-related reasons. Clinicians who treat cancer survivors may need to routinely ask their patients who smoke about e-cigarette use and address the limited research on the efficacy of e-cigarettes as a cessation aid as compared to other evidence-based options.

Smoking cessation is an urgent public health priority given that smoking is associated with increased risk of severe COVID-19 outcomes and other diseases. It is unknown how smoking cessation changed nationally during the COVID-19 pandemic.To investigate changes in smoking cessation-related behaviors in the US during the COVID-19 pandemic.This cross-sectional study was conducted using 2011 to 2020 data on 788 008 individuals who had smoked in the past year from the nationally representative Behavioral Risk Factor Surveillance System (BRFSS) survey. Representative retail scanner sales data between January 2017 and July 2021 for 1004 unique nicotine replacement therapy (NRT) universal product codes in 31 US states from NielsenIQ were also used.Calendar year and 4-week sales periods.Changes in annual self-reported prevalence of past-year quit attempts and recent successful cessation before (ie, 2011-2019) and during (ie, 2020) the COVID-19 pandemic and changes in sales volumes in millions of pieces of nicotine gum, lozenge, and patch brands before (1271 four-week sales periods between January 2017 and February 2020) and during (558 four-week sales periods between March 2020 and July 2021) the COVID-19 pandemic were calculated.The 2011 to 2020 pooled BRFSS sample (response rate range, 45.2%-49.9%) included 788 008 respondents (243 061 individuals ages 25-44 years [weighted percentage, 42.5%]; 374 519 men [weighted percentage, 55.7%]). For the first time since 2011, annual past-year quit attempt prevalence decreased between 2019 and 2020, from 65.2% (95% CI, 64.5% to 65.9%) to 63.2% (95% CI, 62.3% to 64.0%), with the largest relative decreases among individuals ages 45 to 64 years (61.4% [95% CI, 60.3% to 62.5%] vs 57.7% [95% CI, 56.3% to 59.2%]), those with 2 or more comorbidities (67.1% [95% CI, 66.0% to 68.2%] to 63.0% [95% CI, 61.6% to 64.4%]), and Black individuals (72.5% [95% CI, 70.3 to 74.6] vs 68.4% [95% CI, 65.3% to 71.3%]). Recent successful cessation remained unchanged during 2019 to 2020. Observed mean (SD) 4-week NRT sales volume in the prepandemic period was 105.6 (66.2) million gum pieces, 51.9 (31.6) million lozenges, and 2.0 (1.1) million patches. Compared with expected sales, observed sales during the COVID-19 pandemic were lower by 13.0% (95% CI, -13.7% to -12.3%) for lozenges, 6.4% (95% CI, -7.3% to -5.5%) for patches, and 1.2% (95% CI, -1.7% to -0.7%) for gum.This study found that serious smoking cessation activity among US adults decreased immediately and remained depressed for more than a year during the COVID-19 pandemic. These findings suggest that smokers experiencing disproportionately negative outcomes during the pandemic should be reengaged and assisted in quit attempts.

Background Numerous studies have documented mental health challenges during the COVID-19 pandemic. Few studies included pre-pandemic levels of mental health or were comprehensive in assessing factors likely associated with longer-term mental health impacts. Methods Analyses used prospective data from a subset of participants in the nationwide Cancer Prevention Study-3 (CPS-3) United States cohort (N=2,359; 1,534 women; 825 men) who completed surveys in 2018 and during the COVID-19 pandemic (July-September 2020). Logistic regressions examined associations of pandemic-related stressors, sociodemographic and other predictors with (i) overall psychological distress (PD) and depression and anxiety separately during the COVID-19 pandemic and (ii) change in PD from 2018 to during the pandemic (low/low; high to low; low to high; high/high). Findings During the pandemic, 10% of participants reported moderate-to-severe PD and almost half (42%) reported at least mild PD. Pandemic PD levels were associated with pre-pandemic PD (female OR=5.65; male OR=9.70), financial stressors (female OR=2.48; male OR=3.68), and work/life balance stressors (female OR=3.03; male OR=3.33) experienced since the pandemic began. These stressors also predicted an escalation from low PD in 2018 to high PD during the pandemic. Factors associated with high PD at both time points included younger age, female sex, and financial stressors. Interpretation These results highlight the importance of regular mental health assessment and support among those with a history of mental health problems and those experiencing pandemic-related stressors, such as those with caregiving responsibilities or job changes. Funding The American Cancer Society funds the creation, maintenance, and updating of the CPS-3.

Background This pilot study explored the feasibility, acceptability, and usability of a web-based intervention for survivors of physical inactivity-related cancers through a two-arm, 12-week randomized controlled trial. Secondarily, this study tested the change in physical activity (PA) and sedentary time with intervention exposure. Methods Prior to randomization to the intervention (n = 45) or behavior “as usual” wait-listed control (n = 40) groups, participants completed baseline surveys and an accelerometer protocol. The intervention focused on increasing PA and decreasing sedentary time through social cognitive theory techniques. Follow-up acceptability/usability surveys (intervention group only) and accelerometers were sent after the intervention period. Information on intervention completion, adverse events, and user statistics were collected to determine feasibility. Median login time and mean acceptability/usability scores were calculated. Results Participants (mean age = 60 ± 7 years) included female (n = 80, 94%) and male survivors of breast (82%), colon (6%), endometrial (6%), bladder (4%), and kidney (2%) cancer. Seventy-eight (91.7%) participants returned partially or fully complete post-intervention data. There were no reported injuries or safety concerns. Intervention participants logged into the website for a total of 95 min (Q1, Q3 = 11, 204). System usability scores (72 ± 3) indicated above average usability of the website. Changes in time spent active and sedentary were not statistically significantly different between groups (p = 0.45), but within-group changes suggested intervention group participants spent more time active and less time sedentary after the intervention. Conclusion Results of this pilot study suggest its feasibility and acceptability for survivors of several inactivity-related cancers. Additional research to determine long-term efficacy is warranted. This low-cost online-only intervention has the potential to have a very broad reach. Trial Registration Clinical Trials Number: NCT03983083. Date registered: June 12th, 2019

Introduction The COVID‐19 pandemic has led to a major shift in workspace from office to home. This report examined how telecommuting is related to smoking behavior of wage and salary workers. Methods Self‐reported smoking behavior of 1,390 U.S. wage and salary workers aged 16–64 years from the Tobacco Use Supplement of the Current Population Survey 2018/19 were linked to the 2018 American Time Use Survey. Weighted multivariate logistic regression predicting smoking probability and generalized linear regression predicting smoking intensity were used for analysis. Results Almost a fifth (19%) of wage and salary workers reported working from home and over a half (52%) reported working in telecommuting amenable occupations. Nearly 12% were current smokers, smoking 14.7 cigarettes daily on average. Compared to their counterparts, smoking prevalence (percentage points) was lower among those employed in telecommuting amenable occupations (−0.52, p

Background The risk of infection and severity of illness by SARS-CoV-2 infection is elevated for people who smoke cigarettes and may motivate quitting. Organic public conversations on Twitter about quitting smoking could provide insight into quitting motivations or behaviors associated with the pandemic. Objective This study explored key topics of conversation about quitting cigarette smoking and examined their trajectory during 2018-2020. Methods Topic model analysis with latent Dirichlet allocation (LDA) identified themes in US tweets with the term “quit smoking.” The model was trained on posts from 2018 and was then applied to tweets posted in 2019 and 2020. Analysis of variance and follow-up pairwise tests were used to compare the daily frequency of tweets within and across years by quarter. Results The mean numbers of daily tweets on quitting smoking in 2018, 2019, and 2020 were 133 (SD 36.2), 145 (SD 69.4), and 127 (SD 32.6), respectively. Six topics were extracted: (1) need to quit, (2) personal experiences, (3) electronic cigarettes (e-cigarettes), (4) advice/success, (5) quitting as a component of general health behavior change, and (6) clinics/services. Overall, the pandemic was not associated with changes in posts about quitting; instead, New Year’s resolutions and the 2019 e-cigarette or vaping use–associated lung injury (EVALI) epidemic were more plausible explanations for observed changes within and across years. Fewer second-quarter posts in 2020 for the topic e-cigarettes may reflect lower pandemic-related quitting interest, whereas fourth-quarter increases in 2020 for other topics pointed to a late-year upswing. Conclusions Twitter posts suggest that the pandemic did not generate greater interest in quitting smoking, but possibly a decrease in motivation when the rate of infections was increasing in the second quarter of 2020. Public health authorities may wish to craft messages for specific Twitter audiences (eg, using hashtags) to motivate quitting during pandemics.

Background: People who smoke have a higher risk of developing cancer and disproportionately lower incomes which worsens healthcare access and health outcomes. The Affordable Care Act expanded Medicaid eligibility to adults with income up to 138% of the federal poverty line. It is unknown if and how Medicaid expansions changed healthcare access, preventive service use, and health behaviors. Also, it is unknown whether expansions impacted income or racial/ethnic disparities in these measures, given historically lower healthcare access and utilization in lower income people and people of color. Methods: Data were from the nationally representative Behavioral Risk Factor Surveillance System surveys between 2011-2019 of adults ages 18-64 years who currently smoked cigarettes and former smokers who had quit in the past year (n=580,858). Generalized difference-in-differences (DID) analyses using logistic regression models examined the association of Medicaid expansions (staggered time-varying exposure, 34 states expanded as of December 2019) with healthcare access (insurance coverage, care affordability, usual source of care), preventive service use (routine checkup, flu shot, HIV test, breast and colorectal cancer screening, cholesterol check, dentist visit), and health/risk behaviors (heavy alcohol drinking, obesity), including cessation behaviors (past-year quit attempt, successful cessation for >3 months). Income and race/ethnicity differences were also tested. Results: Among people who smoke, Medicaid expansions were associated with healthcare access and preventive care utilization improvements, but not health behaviors, including cessation. Expansions resulted in narrowing of disparities in several measures across income levels and Black vs. White people in expansion states. For example, expansion associated gains in insurance coverage were significantly larger in low-income (expansion: 74.6% vs. nonexpansion: 60.8%; DID: 13.8% 95% CI: 12.8, 14.8%) than high-income (insurance: 87.5% vs. 93.7%, DID: -6.2% points 95% CI: -7.2, -5.2%); and in Black people (82.6% vs. 74.6%, DID: 7.9% points 95% CI: 6.3, 9.5%) than White people (79.5% vs. 75.7%; DID: 3.8%, 95% CI: 3, 4.6%). Medicaid expansions gains were also larger among lower than higher income people for all in preventive care utilization measures studied; and uptake of flu shots, mammograms, and HIV tests were larger in Black than White people. Significant gains in multiple measures were also observed for Hispanic and American Indian/Alaska Native people who smoke, but changes were generally no different than White people. Conclusions: Among people who smoke, Medicaid expansions improved healthcare access and preventive services use. Expansions were also associated with a reduction, but not elimination, of income and Black-White disparities in healthcare access and utilization. Despite insurance and preventive service gains, expansions were not associated with cessation behaviors, signaling the need for improving comprehensive cessation treatments in Medicaid expansion programs. Citation Format: Priti Bandi, Samuel Asare, J. Lee Westmaas, Nigar Nargis, Robin Yabroff, Ahmedin Jemal, Xuesong Han, Stacey Fedewa. Association of Affordable Care Act Medicaid expansions with healthcare access and utilization among people who smoke [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PR-01.

Smoking behavior may be influenced by perceived trust of information from tobacco and e-cigarette companies about their products. The purpose of this study was to identify sociodemographic subgroups with more trust in tobacco product (tobacco and e-cigarette) companies than health professionals and explore associations between this relative trust and tobacco product use.Health Information National Trends Survey (HINTS 4, FDA Cycle) data were analyzed (

Problem The COVID-19 pandemic is associated with psychological distress. Decreased moderate-vigorous physical activity (MVPA) and increased sedentary time may be exacerbating pandemic-related symptoms of anxiety and depression, but existing studies exploring these associations are almost entirely cross-sectional. Methods Reported data from 2018 and Summer 2020 were used to create change categories based on compliance with MVPA guidelines and relative sedentary time. Participants completed the Patient Health Questionnaire-4 (PHQ-4) in Summer 2020. Associations among changes in MVPA and sedentary time (separately and jointly) with psychological distress (total PHQ-4 score) were examined with ordinal logistic regression and associations with depressive or anxiety symptoms were examined with logistic regression. Results Among 2,240 participants (65% women, mean age 57.5 years), 67% increased sedentary time and 21% became inactive between the two time points. After multivariate adjustment, participants who became (OR = 1.71, 95% CI: 1.05–2.78) or remained inactive (OR = 2.07, 1.34–3.22) were more likely to experience depressive symptoms compared to those who remained active. Participants who increased sedentary time were also more likely to experience depressive symptoms compared to those who maintained sedentary time (OR = 1.78, 1.13–2.81). Jointly, those who increased sedentary time while remaining (OR = 3.67, 1.83–7.38) or becoming inactive (OR = 3.02, 1.44–6.34) were much more likely to have depressive symptoms compared to the joint referent (remained active/maintained sedentary time). Associations with anxiety symptoms were not statistically significant. Conclusions These findings support the value of promoting MVPA and limiting sedentary time during stressful events associated with psychological distress, like the COVID-19 pandemic.

IntroductionDigital technology has created opportunities for delivering smoking cessation assistance at the population level. However, the efficacy of sending multiple, automated, tailored emails providing motivation, support and information for quitting is unknown.MethodsSmokers planning to quit (n=1070) were randomly assigned to (1) 27 tailored cessation emails (deluxe email group (DEG)), (2) 3 to 4 tailored emails with links to downloadable booklets (basic email group (BEG)) or (3) a single non-tailored email (single email group (SEG)). All emails included links to quitting resources. Self-reported 7-day point-prevalence abstinence was assessed at 1 month, 3 months and 6 months postenrolment.ResultsAcross follow-ups, abstinence was significantly greater for smokers in the DEG (34%) compared with the SEG (25.8%; OR=1.47, 95% CI 1.07 to 2.02, p=0.02) but there was no difference between the BEG (30.8%) and the SEG (p=0.13). Results were independent of baseline cigarettes per day, interest in quitting, smoker in household, use of nicotine replacement therapy (NRT) or varenicline and gender, themselves associated with abstinence (psConclusionsStand-alone tailored, multiple emails providing support, motivation and information during a quit attempt are an easily deployable, inexpensive mode of providing effective cessation assistance to large numbers of smokers planning to quit.

Socially supportive relationships help cancer survivors cope with their diagnosis and may improve quality of life; however, many survivors report unmet support and information needs. Online communities of survivors may address these needs, but research on their benefits have been equivocal. This cross-sectional, self-report study investigated relationships among cancer survivors’ level of engagement in an online survivor community (The American Cancer Society Cancer Survivors Network®; CSN), perceptions of emotional/informational support available from online communities (“online social support”), well-being, and moderating effects of “offline social support.” Participants were 1255 registered users of the CSN who completed surveys between 2013 and 2014. Three types of engagement with the CSN—social/communal, interpersonal communication, and informational/search engagement—were identified through principal components analysis. Regression analyses examined hypotheses. More frequent social/communal and interpersonal communication engagement were associated with increased online social support (p

Objective The goal of this study was to examine fear of cancer recurrence (FCR) and 2 health behaviors, physical activity and fruit and vegetable intake, from early to long-term survivorship in a large cohort of mixed cancer survivors. Method Group-based trajectory analyses and repeated measures analysis of variance were conducted on data collected in the American Cancer Society's Studies of Cancer Survivorship-I. Two thousand three hundred thirty-seven survivors of 10 cancers completed the survey at 3 time points (M = 1.3, 2.2, and 8.8 years postdiagnosis). Results The current study found 3 FCR trajectories clustering cancer survivors by FCR severity: low (33.6%), moderate (58.1%), and high (8.3%). FCR significantly decreased over time and remained distinct for each trajectory group. Patient characteristics prevalent in the high FCR group were being female, of younger age, Hispanic ethnicity, having advanced cancer stage (II to III) and non-Hodgkin lymphoma, and low adherence to physical activity and fruit and vegetable intake recommendations. The high FCR group also reported significantly fewer of these health behaviors compared with the other groups, albeit the effect size was small. Conclusions Across the survivorship trajectory, FCR severity decreased but remained distinct for the 3 trajectory groups. Future investigations should inquire about the specific needs of each FCR group to subsequently develop targeted interventions. A weak association between FCR and health behaviors was found, with individuals in the high FCR group reporting less health behaviors. Future research should assess the direction of this relationship over time to inform intervention targets within this subgroup. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Introduction Text-messaging programs for smoking cessation, while efficacious, have high dropout rates. To address this problem, we developed and tested the feasibility and early efficacy of a peer-mentoring intervention for smoking cessation provided by former smokers. Methods Adult US smokers were recruited nationally into a randomized pilot trial (N = 200), comparing 6–8 weeks of automated text-messaging support (SmokefreeTXT) and automated text support plus personalized texts from a peer mentor who formerly smoked. The primary outcome was biochemically verified 7-day point-prevalence abstinence at 3 months post-quit date, assessed on an intention-to-treat basis (missing = smoking). Self-reported abstinence, program acceptability, user engagement, and user perceptions were also assessed. Results Biochemically verified abstinence at 3 months was 7.9% (8/101) in the intervention group and 3.0% (3/99) in the control group (adjusted difference 6.5, 95% CI = 0.7% to 12.3%; p = .03). Self-reported abstinence at 3 months was 23.8% (24/101) in the intervention group versus 13.1% (13/99) in the control group (adjusted difference 12.7, 95% CI = 1.2% to 24.1%; p = .03). The intervention had a positive but insignificant effect on overall satisfaction (78.3% vs. 72.9% control group, p = .55). Having a mentor did not significantly alter duration of interaction with the program nor the proportion unsubscribing, although the intervention group reset their quit date with greater frequency (p < .01) and sent more messages (p < .01). Conclusions Peer mentoring combined with automated text messages was feasible and acceptable and increased smoking abstinence compared with automated messages alone. The results highlight the promise of this intervention approach and the need for a full-scale evaluation. Implications Providing quitting assistance by automated text messaging has been shown to increase smoking abstinence. Yet, dropout rates in text-messaging programs are high. No studies have tested the effectiveness of peer mentors who are former smokers as part of a text-messaging intervention, although they represent a promising way to retain, engage, and support smokers. This randomized pilot trial suggests that peer mentors can complement automated text-messaging programs to promote smoking abstinence.

Research suggests that a cancer diagnosis predicts marital dissolution more strongly for women survivors than men, but there is a paucity of research on potential processes underlying this vulnerability. The present cross-sectional study examined whether specific cancer-related problems were associated with the odds of relationship breakup following diagnosis and whether these relationships differed between male and female cancer survivors. A national cross-sectional quality of life study assessed self-reported cancer-related problems and relationship change among survivors who were either 2, 6, or 10 years post-diagnosis (n = 6099). Bivariate analyses indicated that cancer-related problems (e.g., emotional distress) were greater for divorced/separated survivors compared to those with intact relationships and were greater for women versus men. Logistic regressions indicated that for both male and female survivors, lower income, younger age, and longer time since diagnosis were associated with greater odds of divorce or separation after diagnosis (ORs > 2.14, p

OBJECTIVE Smoking poses significant health risks to cancer survivors. Cancer survivorship may heighten psychological distress and reduce social support and health-related quality of life (HRQOL) for years after diagnosis, which could inhibit long-term successful smoking cessation. Understanding longitudinal associations between these psychosocial characteristics and successful cessation could help clinicians tailor cessation interventions for their patients. METHODS Time-to-event analyses using data from the American Cancer Society Study of Cancer Survivors-I (SCS-I)-a longitudinal nationwide study-examined the relationship of psychosocial characteristics with cessation likelihood and amount of time from diagnosis to quitting in cancer survivors diagnosed 7 to 10 years prior. RESULTS Cancer survivors with high physical HRQOL were more likely to quit smoking within 10 years from cancer diagnosis than survivors with low physical HRQOL, controlling for cancer type and number of comorbid conditions at baseline (HR = 1.96; 95% CI: 1.10-2.70; P = .02). Survivors with high physical HRQOL also took less time to quit than survivors with low physical HRQOL. Survivors of tobacco-related cancers with low physical HRQOL were the least likely group to quit. No significant relationships between other psychosocial predictors and cessation outcomes were observed. CONCLUSIONS Smoking cessation programs are needed for all cancer survivors who smoke, but survivors with low physical HRQOL 1 year after diagnosis may need more intensive long-term smoking cessation interventions with multiple check-in points after smoking relapses. Cessation interventions that include strategies to mitigate physical symptoms in those with poor physical HRQOL deserve consideration in research and practice.

In the United States, disparities in smoking prevalence and cessation by socioeconomic status are well documented, but there is limited research on reasons why and none conducted in a national sample assessing multiple potential mechanisms. We identified smoking and cessation-related behavioral and environmental variables associated with both educational attainment and quitting success. We used a structural equation model of cross-sectional data from respondents ≥25 years from the United States 2010-2011 Tobacco Use Supplement-Current Population Survey. Quitting success was defined as former (n = 2607) versus continuing smokers (n = 7636); categories of educational attainment were ≤high school degree, some college/college degree, and advanced degree. Results indicated that using nicotine replacement therapy (NRT)1 month and having a home smoking restriction were associated with both educational attainment and quitting success. Those with lower educational attainment versus those with an advanced degree were less likely to report using NRT1 month (≤high school: β = -0.50, p 0.001; college: β = -0.24, p = 0.019). Use of NRT1 month, in turn, was positively associated with quitting success (β = 0.25, p 0.001). Those with lower educational attainment were also less likely to report a home smoking restriction (≤high school: β = -0.42, p 0.001; college: β = -0.21, p = 0.009). Having a home smoking restriction was positively associated with quitting success (β = 0.50, p 0.001). Results were similar with income substituted for education. Using NRT1 month and having a home smoking restriction are two strategies that may explain the association between low education and lower cessation success; these strategies should be further tested for their potential ability to mitigate this association.

Objective Quitting smoking is important for cancer prognosis, but some cancer survivors continue to smoke. This study examined psychological correlates of smoking status and patterns, likelihood of quitting, and intentions to quit among long-term survivors. Methods Cross-sectional relationships between psychological constructs from health behavior theories (e.g., perceived risk, quitting barriers) and smoking and cessation-related behavior were examined among survivors of 10 cancers. Survivors were recruited by stratified random sampling from cancer registries in a nationwide, longitudinal, quality-of-life study (n=2938). Results Approximately 9 years post-diagnosis, survivors who currently smoke (compared with those who quit before or after diagnosis) perceived health problems caused by smoking as less severe, perceived fewer benefits of quitting for cancer survivors, greater barriers to quitting, and reported more daily exposure to others’ smoking. Survivors intending to quit (vs. those not intending or unsure) perceived greater risks of smoking for cancer prognosis, more severe health effects from smoking, fewer benefits of smoking, and greater social pressure to quit. Nondaily smokers had higher levels of self-efficacy and less exposure to others’ smoking compared to daily smokers. Conclusions Long-term cancer survivors’ perceptions of the risks of smoking for cancer prognosis, the severity of health problems from smoking, cessation barriers, and the benefits of quitting are appropriate targets for interventions for continuing smokers. Nondaily smokers may be especially amenable to intervention. Survivors’ daily exposure to others’ smoking should also be addressed in treatment. Copyright © 2015 John Wiley & Sons, Ltd.

To examine factors associated with perceiving different types of pictorial cigarette health warning labels as most effective in motivating smokers to quit or preventing smoking initiation among college students.We administered an online survey to 24,055 students attending six Southeast colleges in Fall, 2010. We obtained complete data for the current analyses from 2600.Current smoking prevalence was 23.5%. The largest majority (78.6%) consistently rated gruesome images as most effective, 19.5% rated testimonial images as most effective, and only a small proportion rated either standard (1.6%) or human suffering images (0.3%) as most effective. Subsequent analyses focused on differences between those endorsing gruesome images or testimonials as most effective. Factors related to ranking testimonials versus gruesome images as most effective included being female (p0.01), White (p0.01), and nonsmokers (p=0.04), lower perceived smoking prevalence (p0.01), and greater receptivity to laws/restrictions around smoking (p0.01) and tobacco marketing (p=0.01). Among smokers, factors related to ranking testimonials as most effective versus gruesome images included being female (p=0.03), being White (p=0.03), higher autonomous motivation (p=0.03), and greater extrinsic self-efficacy (p=0.02).Understanding factors related to perceived effectiveness of different pictorial warnings among subpopulations should inform health warning labels released by the FDA.

Objective: Effective smoking cessa­tion interventions are needed to reduce tobacco-related disparities. Communication technology-based interventions are increas­ingly being employed to help smokers quit, with controlled research demonstrating effi­cacy of text messaging and email in increas­ing abstinence. Understanding preferences for such strategies among socioeconomically disadvantaged smokers can inform targeted intervention planning. The aims of this study were to: 1) examine socioeconomically disadvantaged smokers’ use of and access to communication technology; and 2) elucidate preferences for receiving quitting information and support via email and text message.Design: This cross-sectional, mixed-methods study collected data from a self-administered survey and focus groups in September 2017.Participants: A community-based, sample of 15 predominantly African American, socioeconomically disadvantaged smokers aged 21-64 years.Results: Smartphone ownership was high, although use of communication-based cessation resources such as web sites and smartphone apps was low. Four themes emerged relevant to preferences for receiv­ing quitting information and support via email and text message: access, appro­priateness, intended use, and satisfaction. Although initially participants were mixed in their preferences for receiving emails vs texts, 80% preferred emails over texts when presented with sample emails and text mes­sages containing cessation information.Conclusions: In this sample of socioeco­nomically disadvantaged smokers, emails were preferred over text messages for smoking cessation assistance. Although both email and text message strategies may be acceptable to socioeconomically disadvantaged smokers generally, issues such as access and intended use should be considered to inform specific disparity-reducing intervention approaches.Ethn Dis. 2018;28(3):161-168; doi:10.18865/ ed.28.3.161.

Purpose Quitting smoking provides important health benefits to patients with cancer. A cancer diagnosis may motivate quitting—potentially providing a teachable moment in which oncologists can encourage and assist patients to quit—but little is known about whether a recent cancer diagnosis (including diagnosis of a cancer that is less strongly linked to smoking) is associated with increased quitting. Methods Cancer Prevention Study-II Nutrition Cohort participants reported smoking status at enrollment in 1992 to 1993 and approximately biennially through 2009. Quit rates of smokers diagnosed with cancer during 2- and 4-year intervals were compared with those of smokers not diagnosed with cancer (12,182 and 12,538 smokers in 2- and 4-year analyses, respectively). Cancers likely to cause physical limitations or symptoms that could influence smoking (cancers of the lung, head and neck, esophagus, or any metastatic cancer) were excluded. Logistic regressions calculated quit rates controlling for age, sex, survey year, cardiovascular disease, and chronic obstructive pulmonary disease. Results The 2-year quit rate was higher among the 772 smokers who were diagnosed with cancer (31.3%; 95% CI, 28.0% to 34.5%) than among smokers not diagnosed with cancer (19.5%; 95% CI, 19.0% to 19.9%). A similar difference was observed for 4-year quit rates (43.0% v 33.8%). Results were similar by cancer site and stage. Conclusion A diagnosis of cancer, even a cancer not strongly related to smoking and with a relatively good prognosis, may be associated with increased quitting that is sustained well after diagnosis. Results support the hypothesis that a cancer diagnosis presents a teachable moment that can be capitalized on to promote cessation.

According to Beck’s cognitive theory of depression, autonomy (high achievement concerns) and sociotropy (high interpersonal concerns) are vulnerability factors for depression when achievement or interpersonal stressors, respectively, are experienced. This hypothesis was tested among men and women attempting to quit smoking, an achievement stressor that can provoke depressive symptoms. Smokers recruited from the community (N=210) provided information about their quit attempt through mailed questionnaires. For the 48-h period following the quit, relationships among autonomy, sociotropy, coping, depressive symptoms and lapsing were assessed. Structural equation models supported the trait-congruence hypothesis because greater autonomy, but not sociotropy, was associated with elevated depressive symptoms among both men and women smokers. However, results were stronger for men (b=.47, p=.0001) than for women (b=.20, p=.05). After accounting for autonomy’s relationship with depressive symptoms, greater autonomy was inversely associated with lapsing among men (b=.35, p=.01), but not women. Results point to the potential usefulness of a theoretical approach to understanding relationships between depressive symptoms and smoking cessation, and indicate that autonomous personality may be an important factor in smoking cessation in men. D 2005 Elsevier Ltd. All rights reserved.

Purpose of review Tobacco smoking is a leading cause of lung cancer and chronic obstructive pulmonary disease. For smokers who want to quit, nicotine replacement therapy and bupropion are frequently recommended. Currently, disagreement surrounds the extent of risk reduction from quitting, the consequences of the change of nicotine replacement therapy to over-the-counter status, and the safety and efficacy of new tobacco products being marketed by tobacco companies. This article reviews the current evidence relevant to these and other developments in smoking interventions and describes the most effective strategies that smokers can use to reduce their risk. Recent findings Although it may take approximately 10 to 30 years of abstinence for former smokers' risk of lung cancer to reach that of never smokers, quitting at any time is substantially less risky than continuing to smoke. Quitting after diagnosis also prolongs survival. Bupropion and nicotine replacement therapy are effective pharmacotherapies, doubling quit rates compared with self-quitting. However, many users of over-the-counter nicotine replacement therapy are using it inappropriately. More research is needed to determine the long-term health effects of modified tobacco products and their efficacy in helping smokers quit. Switching to "low tar" filter cigarettes to reduce lung cancer risk, however, is clearly ineffective. The most effective interventions for quitting continue to be a combination of behavioral and pharmacologic approaches. Summary Health care practitioners should encourage all smokers to attempt cessation and emphasize pharmacotherapy as an important aid to quitting. Professionals who educate patients on the appropriate use of pharmacotherapy and follow-up on smokers' attempts to quit will help reduce the societal burden and personal risks of smoking.

Quitting smoking is important for cancer prognosis, but some cancer survivors continue to smoke. This study examined psychological correlates of smoking status and patterns, likelihood of quitting, and intentions to quit among long-term survivors.Cross-sectional relationships between psychological constructs from health behavior theories (e.g., perceived risk, quitting barriers) and smoking and cessation-related behavior were examined among survivors of 10 cancers. Survivors were recruited by stratified random sampling from cancer registries in a nationwide, longitudinal, quality-of-life study (n=2938).Approximately 9 years post-diagnosis, survivors who currently smoke (compared with those who quit before or after diagnosis) perceived health problems caused by smoking as less severe, perceived fewer benefits of quitting for cancer survivors, greater barriers to quitting, and reported more daily exposure to others' smoking. Survivors intending to quit (vs. those not intending or unsure) perceived greater risks of smoking for cancer prognosis, more severe health effects from smoking, fewer benefits of smoking, and greater social pressure to quit. Nondaily smokers had higher levels of self-efficacy and less exposure to others' smoking compared to daily smokers.Long-term cancer survivors' perceptions of the risks of smoking for cancer prognosis, the severity of health problems from smoking, cessation barriers, and the benefits of quitting are appropriate targets for interventions for continuing smokers. Nondaily smokers may be especially amenable to intervention. Survivors' daily exposure to others' smoking should also be addressed in treatment. Copyright © 2015 John WileySons, Ltd.

Background: Smoking is detrimental to recovery and survival from cancer, but many cancer survivors continue to smoke. Information is lacking on smoking patterns of survivors many years after diagnosis and correlates of smoking status and patterns, likelihood of quitting, and intentions to quit. Methods: Cross-sectional analyses were conducted among survivors of 10 cancers recruited by stratified random sampling from cancer registries in a nationwide, longitudinal, quality-of-life study (n = 2,938). Results: Approximately 9 years after diagnosis, 9.3% of all survivors were current (past 30-day) smokers. Smoking prevalence was highest among survivors of bladder (17.2%), lung (14.9%), and ovarian (11.6%) cancers. Most current smokers (83%) smoked daily, averaging 14.7 cigarettes per day (cpd). Forty percent of daily smokers smoked more than 15 cpd. Nondaily smokers smoked a mean of 10.9 days in the last 30 days and averaged 5.7 cpd on smoking days. Current smoking was associated with younger age, lower education and income, and greater alcohol consumption. Quitting after diagnosis was associated with having a smoking-related cancer. Roughly, a third of current smokers intended to quit, 40% within the next month. The odds of intending to quit were lower if survivors were married, older, or smoked more. Conclusions: This population-based study indicated that smoking can persist long after initial diagnosis and at high levels and identified characteristics associated with quitting and intentions to quit. Impact: Findings can be used to identify survivors most at risk for continued smoking and to inform tailoring of cessation treatments for survivors. Cancer Epidemiol Biomarkers Prev; 23(9); 1783–92. ©2014 AACR.

Research has documented tobacco-related health disparities by race and gender. Prior research, however, has not examined expectancies about the smoking cessation process (i.e., abstinence-related expectancies) as potential contributors to tobacco-related disparities in special populations. This cross-sectional study compared abstinence-related expectancies between American Indian (n = 87), African American (n = 151), and White (n = 185) smokers, and between women (n = 231) and men (n = 270) smokers. Abstinence-related expectancies also were examined as mediators of race and gender relationships with motivation to quit and abstinence self efficacy. Results indicated that American Indians and African Americans were less likely than Whites to expect withdrawal effects, and more likely to expect that quitting would be unproblematic. African Americans also were less likely than Whites to expect smoking cessation interventions to be effective. Compared with men, women were more likely to expect withdrawal effects and weight gain. These expectancy differences mediated race and gender relationships with motivation to quit and abstinence self-efficacy. Findings emphasize potential mechanisms underlying tobacco-related health disparities among American Indians, African Americans, and women and suggest a number of specific approaches for targeting tobacco dependence interventions to these populations.

Background Smartphone applications (apps) are increasingly available for smoking cessation. Purpose This study examined the content of popular apps for smoking cessation for both iPhone and Android operating systems in February 2012. Methods A total of 252 smoking-cessation apps were identified for the iPhone and 148 for the Android. Across both operating systems, the most popular apps were identified ( n =47 for the iPhone and n =51 for the Android) and analyzed for their (1) approach to smoking cessation and (2) adherence to an index based on the U.S. Public Health Service's Clinical Practice Guidelines for Treating Tobacco Use and Dependence. Where available, apps were coded for frequency of downloads. The analysis took place in 2012. Results Overall, popular apps have low levels of adherence, with an average score of 12.9 of a possible 42 on the Adherence Index. No apps recommended calling a quitline, and only a handful of apps recommended using approved medications (4.1%). Android apps in the sample were downloaded worldwide between 310,800 and 1,248,000 times per month. For both the iPhone and Android, user ratings were positively associated with scores on the Adherence Index. For the iPhone, display order was also positively associated with scores on the Adherence Index. Conclusions Apps could be improved by better integration with the Clinical Practice Guidelines and other evidence-based practices.

Background Tobacco smoking is the single most preventable cause of death in the United States today. Oncologists are in a unique position to affect the health and economic burdens of smoking by encouraging cessation among their patients who smoke. Methods The authors describe and review the effectiveness of current smoking cessation interventions as well as strategies that can be used to encourage cessation among patients. Three types of smoking cessation interventions are described: minimal (or self-help) interventions, behavioral interventions, and pharmacotherapy. The effectiveness of combinations of these types of treatments is also discussed. Results Oncology professionals can improve their patients’ chances for success by implementing various cost-effective and easily executed smoking cessation interventions. Advice from a physician to quit smoking has resulted in long-term quit rates of up to 10.2%, and nicotine transdermal patches, nicotine gum, inhalers, and nasal sprays are also effective. Conclusions Oncologists are encouraged to adopt the “4As” treatment protocol recommended by the National Cancer Institute: ask patients about their smoking status, advise them to quit, assist by recommending pharmacotherapy, counseling, and psychosocial self-help materials, and arrange follow-up.

Engaging in novel/exciting ("self-expanding") activities activates the mesolimbic dopamine pathway, a brain reward pathway also associated with the rewarding effects of nicotine. This suggests that self-expanding activities can potentially substitute for the reward from nicotine. We tested this model among nicotine-deprived smokers who, during fMRI scanning, played a series of two-player cooperative games with a relationship partner. Games were randomized in a 2 (self-expanding vs. not) x 2 (cigarette cue present vs. absent) design. Self-expansion conditions yielded significantly greater activation in a reward region (caudate) than did non-self-expansion conditions. Moreover, when exposed to smoking cues during the self-expanding versus the non-self-expanding cooperative games, smokers showed less activation in a cigarette cue-reactivity region, a priori defined [temporo-parietal junction (TPJ)] from a recent meta-analysis of cue-reactivity. In smoking cue conditions, increases in excitement associated with the self-expanding condition (versus the non-self-expanding condition) were also negatively correlated with TPJ activation. These results support the idea that a self-expanding activity promoting reward activation attenuates cigarette cue-reactivity among nicotine-deprived smokers. Future research could focus on the parameters of self-expanding activities that produce this effect, as well as test the utility of self-expansion in clinical interventions for smoking cessation.

Background Numerous studies have sought to identify genes that influence the ability to quit smoking, but none found any that are consistently associated with smoking cessation. Methods We developed a novel difficulty of quitting smoking phenotype based on the extremes of the number of quit attempts needed to achieve successful abstinence: Easy quitters were defined as having achieved long-term (>1 year) abstinence after their first quit attempt and difficult quitters as having reported 10 or more quit attempts. We conducted a two-stage study to determine if this phenotype could be useful for identifying single nucleotide polymorphisms (SNPs) that influence smoking cessation. In stage 1, 82 SNPs in 26 genes involved in nicotine signaling and metabolism were genotyped in 1357 easy quitters and 1321 difficult quitters from Cancer Prevention Study 3 (CPS-3). In stage 2, the 11 SNPs associated with difficult quitting in stage 1 (p < .1) were genotyped in an independent sample of 1300 easy quitters and 1299 difficult quitters from CPS-3. Results Three of 11 SNPs (HTR1B rs6298, NR4A2 rs834829, and CYP2A65 rs8192729) were significantly associated with the difficult quitting phenotype in stage 2 (p < .05). In addition, a polygenic risk score based on the 11 SNPs identified in stage 1 was significantly associated with the difficult quitting phenotype in stage 2 (odds ratio = 1.08, 95% confidence interval: 1.03-1.14 per quintile, p trend = 4.5×10-3). Conclusions Using a novel difficulty of quitting phenotype, three gene variants and a polygenic risk score based on 11 SNPs were found to be significantly associated with smoking cessation. Implications Our results provide evidence that a difficulty of quitting smoking phenotype based on the extremes of number of quit attempts could be a useful tool for identifying genetic variants that influence difficulty of smoking cessation. Knowledge of these genetic variants will indicate biological pathways that could be targeted for the development of novel smoking cessation aids and could be used to determine which smokers are most likely to benefit from such smoking cessation aids.

Health-focused interventions can prevent the devastating effects of many illnesses by encouraging changes in behavior. Interventions that recognize the multiple influences on behavior will have the greatest likelihood of success, but increased sensitivity to their costs, convenience, and reach has led to innovative new treatments, for example internet programs for post-traumatic stress disorder or smoking cessation. Nonetheless, although the landscape in which interventions can be delivered has changed, attention to principles of design and methodology remain the same. This chapter describes proven scientific methods in designing and evaluating interventions, and illustrates how understanding the causes of illnesses and health, and using theoretically driven and multilevel approaches to develop interventions, can save lives by promoting health and preventing illness.

Objective: The prevalence of smoking among gay men is considerably higher than in the general population. To investigate possible causes of this health risk disparity, this study used multilevel modeling of daily diary data to examine the temporal relationship between smoking and both sexual orientation concealment and masculine gender role variables. Method: Gay (n 136) and heterosexual (n 56) university students (mean age 20.56, SD 2.13) completed measures of boyhood and current gender nonconformity, as well as daily measures of smoking, negative affect, and masculinity selfconsciousness across 9 days. Gay participants additionally indicated the extent to which they concealed their sexual orientation each day. Results: The same percentage of gay (17.7%; n 24) and heterosexual (17.9% n 10) participants smoked over the course of the study. Gay men who smoked, however, smoked on more days across the study, t 2.20, p .05. Boyhood gender nonconformity and current masculinity significantly predicted the average odds of smoking for all participants. Daily masculinity self-consciousness also predicted the odds of smoking for all participants, although it predicted those odds more strongly for heterosexual men (b 1.00, p .001) than for gay men (b .31, p .06). Gay participants’ attempts to conceal their sexual orientation on a given day positively predicted their likelihood of smoking that day. Conclusions: Results suggest the need to consider the role of gender nonconformity, masculinity self-consciousness, and sexual orientation stress in future investigations of smoking among young men.

Introduction: The majority of smokers attempt to quit smoking on their own, but in any given year, only 5% or less are successful. To improve cessation rates, tapping social networks for social support during quitting has been recommended or tested in some interventions. Prior reviews of this research, however, have concluded that there is little to no evidence that partner support interventions are effective. Discussion: Given the theoretical importance of the concept of social support, its demonstrated value in treatments that are implicitly supportive (e.g., telephone counseling), and the general lack of a guiding conceptual framework for research on the effects of peer or partner support for cessation, we describe theoretical models that explicitly incorporate social support constructs in predicting motivation for and success in quitting. Conclusion: Better differentiation of support concepts and elucidating causal pathways will lead to studies that demonstrate the value of social relationships in improving smokers’ likelihood of cessation. The majority of smokers attempt to quit smoking on their

Internet programs for smoking cessation are widely available but few controlled studies demonstrate long-term efficacy.To determine the 13-month effectiveness of an Internet program presenting a set sequence of interactive steps, and the role of depressed affect.In a randomized controlled trial sponsored by the American Cancer Society, a treatment condition (n = 1,106) was compared to a control site (n = 1,047).More treatment condition participants were abstinent (30-day point prevalence) than control site participants (12.9% vs. 10.1%, p.05) at 13 months. This effect was greater among participants not reporting depressed affect (15.0% vs. 10.1%, p.01). Among smokers who reported depressed affect, there was no difference in abstinence between the treatment and control conditions.Data support the long-term efficacy of an Internet intervention for cessation modeled on a structured, in-person treatment approach, especially for participants not experiencing daily depressed affect.

Helping smokers quit is important as smoking is the number one preventable cause of death in the U.S. Smoking activates the mesolimbic dopamine reward system which is also responsible for pleasure associated with other behaviors, including engaging in novel, exciting and/or challenging (i.e., self-expanding) events. We hypothesized that the reward activation achieved by experiencing self-expanding events can supplant the reinforcement normally provided by smoking and can thus facilitate quitting. We investigated this hypothesis among 74 current and 66 former smokers who reported the self-expanding events they experienced for the 2 months prior to their most successful or final, quit attempt, respectively. Former smokers, compared to current smokers, reported significantly more self-expanding events and that the events were more helpful to their quitting. For current smokers, there was a significant moderate-to-large positive correlation between number of self-expanding events and number of days subsequently abstained from smoking. The results support the proposition that experiencing self-expanding activities or events can be beneficial for smoking abstinence.