Barriers to helping patients quit smoking: Lack of knowledge about cessation methods, E-cigarettes, and why nurse practitioners and physician assistants can help

OBJECTIVES

Health care settings are ideal for addressing patients' smoking and quitting, but barriers may limit providers' assistance with cessation, including lack of knowledge about newer devices being used by some smokers to quit (e.g., e-cigarettes). Cessation practices among nurse practitioners (NPs) and physician assistants (PAs) are also unknown.

STUDY DESIGN

Cross-sectional.

METHODS

Participants (N = 459) were 151 oncologists, 150 primary care physicians (PCPs), 98 nurse practitioners (NPs), and 60 physician assistants (PAs) recruited from a national online panel who completed an online survey.

RESULTS

Four barriers were common across specialties: "patient doesn't want to quit, and it is their decision," "smoking is not reason for patient's visit; must treat the immediate problem first," "patient wants to quit on their own," and "lack of effective methods available." While a majority of oncologists (58%) were aware of free telephone counseling for cessation, only 29% of NPs were aware. Perceived knowledge of e-cigarettes was low. Greater comfort treating patients' smoking predicted greater frequency of engagement in 4 of 5 general cessation practices (βs = 0.15-0.26, all p ≤ .001). NPs and PAs more frequently asked patients about smoking and e-cigarette use compared to oncologists, but oncologists more frequently referred patients to effective quitting resources (e.g., quitlines).

CONCLUSIONS

NPs and PAs may be uniquely positioned to provide cessation assistance, but providers need more education on currently available, effective cessation methods, and about e-cigarettes. Addressing patient resistance to offers of cessation services and improving clinical workflows to enhance cessation service provision should be investigated in future research.

Effectiveness of Peer-Support Interventions for Smoking Cessation: A Systematic Review and Meta-analysis

INTRODUCTION

Peer support has been recommended to promote smoking cessation, but results from prior meta-analyses have not established its efficacy. We conducted a systematic review and meta-analysis to assess current evidence and identify potential modifiers of efficacy.

METHODS

Randomized controlled trials of peer-support interventions with a smoking cessation outcome were identified in January 2022 from PubMed and references listed in identified studies. The meta-analysis outcome measure was mean risk ratio (RR, 95% confidence interval [CI]) for abstinence at the longest follow-up timepoint between 3 and 9 months from baseline. Potential modifiers tested were peer smoking status (former, current, or unknown), follow-up timepoint, abstinence measure, and cumulative engagement time between peers and smokers ("dose"). Studies were assessed for risk of bias and certainty of evidence.

RESULTS

We identified 16 trials, which varied in abstinence effect size (RR 0.61-3.07), sample size (23-2121), dose (41-207 minutes), and follow-up timepoint (<1-15 months). Across 15 trials with follow-up between 3 and 9 months (N = 8573 participants; 4565 intervention, 4008 control), the pooled Mantel-Haenszel RR was 1.34 (95% CI: 1.11-1.62). Effect sizes were greatest among interventions with formerly smoking peers (RR 1.43, 95% CI 1.17-1.74; five trials). We found positive effects for follow-up timepoints ≥3 months but no effect of intervention dose. The overall quality of evidence was deemed "very low."

CONCLUSIONS

Peer-support interventions increased smoking abstinence. There remains a lack of consensus about how to define a peer. Intervention features such as peer smoking status appear to have explanatory power. Additional high-quality and more comparable trials are needed.

IMPLICATIONS

This study reviewed the latest evidence from randomized controlled trials and found that peer-support interventions enhance smoking cessation. Efficacy varies with key intervention features such as peer smoking status and follow-up timepoint, which may be used to facilitate development of more effective peer-support interventions. Future trials and reviews would benefit from careful consideration and clear reporting of peer smoking status, length of follow-up, abstinence measures, and intervention dose.

Developing a Game (Inner Dragon) Within a Leading Smartphone App for Smoking Cessation: Design and Feasibility Evaluation Study

BACKGROUND

Several stand-alone smartphone apps have used serious games to provide an engaging approach to quitting smoking. So far, 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 was 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 broad program that seeks to assess the effectiveness of the gamified app for smoking cessation.

METHODS

In phase 1, the study team undertook a multistep process to design and develop the game, including web-based 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 (SD 13.1; median 8; range 1-46), with a mean duration per session of 5.8 (median 1.1; range 0-81.1) minutes. Overall, three-fourths (18/24, 75%) of the participants entered the Inner Dragon game at least once and had a mean of 2.4 (SD 2.4) sessions of game use. The use of Inner Dragon was positively associated with the total number of app sessions (correlation 0.57). The mean satisfaction score of participants who provided ratings (11/24, 46%) was 4.2 (SD 0.6) on a 5-point scale; however, satisfaction ratings for Inner Dragon were only completed by 13% (3/24) of the participants.

CONCLUSIONS

Findings supported further development and evaluation of Inner Dragon as a beneficial feature of Smoke Free. The next step of this study 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.

Spatial Analysis of Changes in Cigarette Sales in Massachusetts and Bordering States Following the Massachusetts Menthol Flavor Ban

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.

Changes in Smoking Cessation-Related Behaviors Among US Adults During the COVID-19 Pandemic

IMPORTANCE

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.

OBJECTIVE

To investigate changes in smoking cessation-related behaviors in the US during the COVID-19 pandemic.

DESIGN, SETTING, AND PARTICIPANTS

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.

EXPOSURES

Calendar year and 4-week sales periods.

MAIN OUTCOMES AND MEASURES

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.

RESULTS

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.

CONCLUSIONS AND RELEVANCE

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.

COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020

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.

Association of Cigarette Sales With Comprehensive Menthol Flavor Ban in Massachusetts

This cohort study examines whether cigarette sales changed after Massachusetts banned menthol-flavored tobacco products.

Pilot Randomized Controlled Trial of Feasibility, Acceptability, and Preliminary Efficacy of a Web-Based Physical Activity and Sedentary Time Intervention for Survivors of Physical Inactivity-Related Cancers

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.

Abstract PR-01: Association of Affordable Care Act Medicaid expansions with healthcare access and utilization among people who smoke

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 &gt;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.

Stressors and Other Pandemic-related Predictors of Prospective Changes in Psychological Distress

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.

Association between Smoking Cannabis and Quitting Cigarettes in a Large American Cancer Society Cohort

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.

Prospective COVID-19 related changes in physical activity and sedentary time and associations with symptoms of depression and anxiety

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.

Can Physical Activity and Healthy Diet Help Long-Term Cancer Survivors Manage Their Fear of Recurrence?

Objective: Fear of cancer recurrence (FCR) adversely affects quality of life, but health behaviors such as physical activity (PA) and fruit and vegetable intake (FVI) may help alleviate FCR for some survivors. This cross-sectional study tested the common-sense model (CSM) of FCR by investigating associations between constructs from the CSM (perceived illness consequences, control over health, and timeline), and survivors' health behaviors, health self-efficacy, and FCR. Methods: Using wave 3 data from the American Cancer Society Longitudinal Study of Cancer Survivorship-I, path analyses were conducted among mixed-cancer participants (N = 2,337) who were on average 8.8 mean years post-diagnosis. Results: A final good fitting model [χ ² (5, N = 2,337) = 38.12, p < 0.001; SRMR = 0.02; CFI = 0.99; RMSEA = 0.05] indicated that perceiving fewer illness consequences, and greater control over one's health, were directly associated with higher PA (β = 0.15 and -0.24, p < 0.01, respectively) and higher health self-efficacy (β = 0.24, -0.38, p < 0.01, respectively). Timeline (i.e., perceiving cancer as chronic) was directly associated with lower health self-efficacy (β = -0.15, p < 0.01) and higher FCR (β = 0.51, p < 0.01). Both greater PA and FVI were directly associated with higher health self-efficacy (β = 0.10 and 0.11, p < 0.01, respectively) which in turn showed a direct association with lower FCR (β = -0.15, p < 0.01). Conclusion: Increasing survivors' sense of control over health, decreasing perceived chronicity of the illness, and mitigating its consequences may increase their health behaviors and health self-efficacy, which in turn could decrease their FCR. Longitudinal and experimental studies are needed to confirm these findings.

Association of teleworking and smoking behavior of U.S. wage and salary workers

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 < .001 for all; 0.01, p = .862 for men; -2.40, p < .001 for women) and who worked more frequently from home (-0.21, p < .001 for all; -0.76, p < .001 for men; -0.03, p = .045 for women). Smoking intensity (cigarettes per day) was lower among those employed in telecommuting amenable occupations (-3.39, p = .03 for all; -0.36, p = .90 for men; -4.30, p = .21 for women). We found no statistically significant association between smoking intensity and telecommuting frequency.

CONCLUSIONS

The lower likelihood of smoking and lower level of smoking intensity among telecommuting wage and salary workers suggests the need for proactive efforts to address the potential exacerbation in occupation-related smoking disparities between occupations that are and are not amenable to telecommuting.

Peer Mentoring and Automated Text Messages for Smoking Cessation: A Randomized Pilot Trial

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.

Trust of Information about Tobacco and E-Cigarettes from Health Professionals versus Tobacco or Electronic Cigarette Companies: Differences by Subgroups and Implications for Tobacco Messaging

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 (N = 3,738). Two relative trust measures were developed identifying respondents who trust tobacco companies or e-cigarette companies as much as or more than health professionals for information about the health effects of tobacco products or e-cigarettes versus those who place more trust in health professionals. Dependent variables were smoking status (current, former, never) and e-cigarette use (ever, never). Bivariate analyses and multivariable logistic regressions were conducted in SAS 9.4 using jackknife replicate weights.Respondents who trusted tobacco or e-cigarette companies as much as or more than health professionals were disproportionately from racial/ethnic minority groups or had low levels of income or education (all p < 0.05). Relative trust was not associated with smoking status. After controlling for demographics, respondents who trusted e-cigarette companies as much as or more than health professionals had 87% greater odds (95% CI: 1.16, 3.00) of e-cigarette use, compared to respondents who placed higher trust in health professionals.Findings suggest that population subgroups with greater trust in e-cigarette companies relative to health professionals are more prone to e-cigarette use. Targeted communication strategies may be needed for underserved populations and to counter messaging from e-cigarette companies.

Investigating relationships among cancer survivors' engagement in an online support community, social support perceptions, well-being, and moderating effects of existing (offline) social support

PURPOSE

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."

METHODS

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.

RESULTS

More frequent social/communal and interpersonal communication engagement were associated with increased online social support (p < .0001), and the relationship between interpersonal communication engagement and online social support was strongest for survivors reporting lower offline social support (interaction β = - .35, p < .001). Greater online social support was associated with increased well-being, but only among survivors reporting low offline social support (interaction β = - .35, p < .0001).

CONCLUSIONS

Engagement in online survivor communities may increase support perceptions that promote well-being, but benefits may accrue more to survivors reporting low offline social support.

IMPLICATIONS FOR CANCER SURVIVORS

Newly diagnosed cancer survivors, particularly those with unmet emotional/informational support needs, should be given the opportunity to communicate with other survivors through online survivor support networks.

Smoking versus quitting and fear of cancer recurrence 9 years after diagnosis in the American Cancer Society's Longitudinal Study of Cancer Survivors-I (SCS-I)

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.

The relationship between fear of cancer recurrence and health behaviors: A nationwide longitudinal study of cancer survivors

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).

Dual cigarette and e-cigarette use in cancer survivors: an analysis using Population Assessment of Tobacco Health (PATH) data

PURPOSE

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

IMPLICATIONS FOR CANCER SURVIVORS

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.

Educational attainment & quitting smoking: A structural equation model approach

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 NRT >1 month (≤high school: β = -0.50, p < 0.001; college: β = -0.24, p = 0.019). Use of NRT >1 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 NRT >1 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.

To Text or Not to Text? Technology-based Cessation Communication Preferences among Urban, Socioeconomically Disadvantaged Smokers

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.

Topic Modeling of Smoking- and Cessation-Related Posts to the American Cancer Society's Cancer Survivor Network (CSN): Implications for Cessation Treatment for Cancer Survivors Who Smoke

Introduction

Smoking is a risk factor in at least 18 cancers, and approximately two-thirds of cancer survivors continue smoking following diagnosis. Text mining of survivors' online posts related to smoking and quitting could inform strategies to reduce smoking in this vulnerable population.

Methods

We identified posts containing smoking/cessation-related keywords from the Cancer Survivors Network (CSN), an online cancer survivor community of 166 000 members and over 468 000 posts since inception. Unsupervised topic model analysis of posts since 2000 using Latent Dirichlet Allocation extracted 70 latent topics which two subject experts inspected for themes based on representative terms. Posterior analysis assessed the distribution of topics within posts, and the range of themes discussed across posts.

Results

Less than 1% of posts (n = 3998) contained smoking/cessation-related terms, and covered topics related to cancer diagnoses, treatments, and coping. The most frequent smoking-related topics were quit smoking methods (5.4% of posts), and the environment for quitters (2.9% of posts), such as the stigma associated with being a smoker diagnosed with cancer and lack of empathy experienced compared to nonsmokers. Smoking as a risk factor for one's diagnosis was a primary topic in only 1.7% of smoking/cessation-related posts.

Conclusions

The low frequency of smoking/cessation-related posts may be due to expected criticism/stigma for smoking but may also suggests a need for health care providers to address smoking and assist with quitting in the diagnostic and treatment process. Topic model analysis revealed potential barriers that should be addressed in devising clinical or population-level interventions for cancer survivors who smoke.

Implications

Although smoking is a major risk factor for cancer, little is known about cancer patients' or survivors' views or concerns about smoking and quitting. This study used text mining of posts to an online community of cancer patients and survivors to investigate contexts in which smoking or quitting is discussed. Results indicated that smoking and quitting discussions were relatively rare, but nevertheless provide insight into barriers that may need to be addressed in cessation interventions for survivors.

Randomised controlled trial of stand-alone tailored emails for smoking cessation

INTRODUCTION

Digital 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.

METHODS

Smokers 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.

RESULTS

Across 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 (ps<0.05). Missing=smoking and multiple imputation analyses based on 25 data sets corroborated results. Participants in the DEG were also more likely to use non-medication aids (eg, quit smoking website, cessation class/clinic) compared with the SEG (OR=1.34, p=0.02, CI 1.06 to 1.71), but use of these or NRT by the 4-week follow-up (vs no use) increased abstinence across follow-ups primarily for those in the SEG.

CONCLUSIONS

Stand-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.

Evaluation of a Novel Difficulty of Smoking Cessation Phenotype Based on Number of Quit Attempts

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.

A Prospective Cohort Study of Cigarette Prices and Smoking Cessation in Older Smokers

Background: Cigarette price increases effectively prevent smoking initiation and reduce cigarette consumption among young smokers. However, the impact of cigarette prices on smoking cessation among older smokers is less clear, particularly for those aged 65 years and older, a group that is at highest risk of smoking-related disease and will almost double in the United States between 2012 and 2050.Methods: Biennial questionnaires administered between 1997 and 2013 assessed smoking status for 9,446 Cancer Prevention Study-II Nutrition Cohort participants who were ≥50 years old and lived in Washington, DC, and 48 states. For each interval between biennial questionnaires, change in price per pack and average price level per pack were calculated. The separate associations between these price variables and smoking cessation during the same time interval were determined.Results: In multivariable-adjusted models, each $1.00 price increase was associated with a 9% higher rate of quitting [rate ratio (RR) = 1.09; 95% confidence interval (CI), 1.04-1.14). Each $1.00 increase in average price was associated with a 6% higher rate of quitting (RR = 1.06; 95% CI, 1.02-1.10). The association with average price was strongest among smokers aged 65 years and older (RR = 1.07; 95% CI, 1.04-1.11) and, for price change, for smokers with no major prevalent disease (RR = 1.13; 95% CI, 1.07-1.19).Conclusions: These results suggest that increasing cigarette prices will promote quitting even among smokers aged 65 years and older.Impact: Increasing cigarette prices through higher taxes could reduce smoking rates among older adults and decrease risk of smoking-related cancers and diseases in this high-risk group. Cancer Epidemiol Biomarkers Prev; 26(7); 1071-7. ©2017 AACR.

The Role of Perceived Similarity in Supportive Responses to Victims of Negative Life Events

The authors examined whether participants’ perceived similarity to an ostensible victim of a negative life event influenced their supportiveness during a live interaction. Two competing models were considered: (a) increased similarity would be associated with increased supportiveness through attraction to the target and (b) increased similarity would be associated with decreased supportiveness through anxiety (due to heightened vulnerability). Participants (N = 241) met individually with a confederate posing as a cancer patient. Reactions were assessed, including verbal and nonverbal behaviors, both before and after the interaction, by participants themselves and by observers of the interaction. Results supported a model based on the classic similarity/attraction paradigm: Perceived similarity indirectly predicted participant-reported supportiveness/warmth and smiling through its relationship to attraction. Results extend the literature on similarity and attraction to the stress and coping arena and suggest that emphasizing perceived similarities to victims would be beneficial.

Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout

Background

Awareness campaigns are ubiquitous, but little is known about their potential effectiveness because traditional evaluations are often unfeasible. For 40 years, the “Great American Smokeout” (GASO) has encouraged media coverage and popular engagement with smoking cessation on the third Thursday of November as the nation’s longest running awareness campaign.

Objective

We proposed a novel evaluation framework for assessing awareness campaigns using the GASO as a case study by observing cessation-related news reports and Twitter postings, and cessation-related help seeking via Google, Wikipedia, and government-sponsored quitlines.

Methods

Time trends (2009-2014) were analyzed using a quasi-experimental design to isolate spikes during the GASO by comparing observed outcomes on the GASO day with the simulated counterfactual had the GASO not occurred.

Results

Cessation-related news typically increased by 61% (95% CI 35-87) and tweets by 13% (95% CI −21 to 48) during the GASO compared with what was expected had the GASO not occurred. Cessation-related Google searches increased by 25% (95% CI 10-40), Wikipedia page visits by 22% (95% CI −26 to 67), and quitline calls by 42% (95% CI 19-64). Cessation-related news media positively coincided with cessation tweets, Internet searches, and Wikipedia visits; for example, a 50% increase in news for any year predicted a 28% (95% CI −2 to 59) increase in tweets for the same year. Increases on the day of the GASO rivaled about two-thirds of a typical New Year’s Day—the day that is assumed to see the greatest increases in cessation-related activity. In practical terms, there were about 61,000 more instances of help seeking on Google, Wikipedia, or quitlines on GASO each year than would normally be expected.

Conclusions

These findings provide actionable intelligence to improve the GASO and model how to rapidly, cost-effectively, and efficiently evaluate hundreds of awareness campaigns, nearly all for the first time.

Does a Recent Cancer Diagnosis Predict Smoking Cessation? An Analysis From a Large Prospective US Cohort

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.

Prevalence and correlates of smoking and cessation-related behavior among survivors of ten cancers: findings from a nationwide survey nine years after diagnosis

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.

An fMRI study of nicotine-deprived smokers' reactivity to smoking cues during novel/exciting activity

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.

Smoking abstinence-related expectancies among American Indians, African Americans, and women: potential mechanisms of tobacco-related disparities

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.

A content analysis of popular smartphone apps for smoking cessation

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.

Abstract B54: A candidate gene study of smoking cessation

Background: Efforts to identify genes that influence smoking cessation have been largely unsuccessful to date. However, SNPs in the chromosome 15q25 region that encodes the nicotinic receptor subunits CHRNA5, CHRNA3, and CHRNB4 have been consistently and strongly associated with nicotine dependence as measured directly through dependence surveys or indirectly with smoking quantity (cigarettes per day, cpd). These SNPs have been found to either be modestly or not at all associated with smoking cessation as defined by a variety of different phenotypes. Despite the fact that nicotine dependence influences smoking cessation, these results suggest that cessation may be influenced by a wider range of genetic variants than just those that influence measures of nicotine dependence.

Methods: To identify genes important for smoking cessation, we defined a smoking cessation phenotype based on number of quit attempts; easy quitters achieved successful, long-term (&gt; 1 year) abstinence after their first quit attempt and difficult quitters reported ≥10 attempts before either continuing to smoke or quitting. We identified 1,500 easy quitters and 1,500 difficult quitters who were participants in the Cancer Prevention Study-3 (CPS-3), a large prospective study of cancer incidence and mortality conducted by the American Cancer Society. The association of 83 SNPs from 25 nicotine signaling and metabolism genes that had previously been associated with some aspect of smoking behavior with difficulty quitting was determined using logistic regression.

Results: Three SNPs in three separate genes were significantly associated with difficult quitting (p&lt;0.05). These were SLC6A3 rs2652511 [per allele odds ratio (OR)=0.89, 95% confidence intervals (CI): 0.80-0.99, p-trend=0.040], HTR1B rs6298 (per allele OR=0.88, 95% CI: 0.80-0.99, p-trend=0.034), and CHRNA5 rs16969968 (per allele OR=1.12, 95% CI: 1.00-1.22, p-trend=0.045). A genetic risk score based on number of risk alleles from these three SNPs was also associated with difficult quitting (OR=1.62, 95% CI:1.26-2.08, p=1.9 x 10-4 for score of 5-6 versus 0-2). None of the associations remained statistically significant after correction for multiple comparisons.

Conclusions: Although none of the SNPs investigated were statistically significantly associated with the number of quit attempts, these results suggest that examining this phenotype in future genome-wide association studies would be useful for the discovery of genes that could be targeted for the development of novel smoking cessation aids.

Citation Format: Victoria L. Stevens, Susan M. Gapstur, Juzhong Sun, Eric J. Jacobs, Mia M. Gaudet, J. Lee Westmaas, Alpa V. Patel. A candidate gene study of smoking cessation. [abstract]. In: Proceedings of the Twelfth Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2013 Oct 27-30; National Harbor, MD. Philadelphia (PA): AACR; Can Prev Res 2013;6(11 Suppl): Abstract nr B54.

Intense passionate love attenuates cigarette cue-reactivity in nicotine-deprived smokers: an FMRI study

Self-expanding experiences like falling in love or engaging in novel, exciting and interesting activities activate the same brain reward mechanism (mesolimbic dopamine pathway) that reinforces drug use and abuse, including tobacco smoking. This suggests the possibility that reward from smoking is substitutable by self-expansion (through competition with the same neural system), potentially aiding cessation efforts. Using a model of self-expansion in the context of romantic love, the present fMRI experiment examined whether, among nicotine-deprived smokers, relationship self-expansion is associated with deactivation of cigarette cue-reactivity regions. Results indicated that among participants who were experiencing moderate levels of craving, cigarette cue-reactivity regions (e.g., cuneus and posterior cingulate cortex) showed significantly less activation during self-expansion conditions compared with control conditions. These results provide evidence that rewards from one domain (self-expansion) can act as a substitute for reward from another domain (nicotine) to attenuate cigarette cue reactivity.

College student reactions to health warning labels: sociodemographic and psychosocial factors related to perceived effectiveness of different approaches

OBJECTIVE

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.

METHOD

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.

RESULTS

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 (p<0.01), White (p<0.01), and nonsmokers (p=0.04), lower perceived smoking prevalence (p<0.01), and greater receptivity to laws/restrictions around smoking (p<0.01) 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).

CONCLUSIONS

Understanding factors related to perceived effectiveness of different pictorial warnings among subpopulations should inform health warning labels released by the FDA.

Using the internet to understand smokers' treatment preferences: informing strategies to increase demand

BACKGROUND

Most smokers attempt to quit on their own even though cessation aids can substantially increase their chances of success. Millions of smokers seek cessation advice on the Internet, so using it to promote cessation products and services is one strategy for increasing demand for treatments. Little is known, however, about what cessation aids these smokers would find most appealing or what predicts their preferences (eg, age, level of dependence, or timing of quit date).

OBJECTIVE

The objective of our study was to gain insight into how Internet seekers of cessation information make judgments about their preferences for treatments, and to identify sociodemographic and other predictors of preferences.

METHODS

An online survey assessing interest in 9 evidence-based cessation products and services was voluntarily completed by 1196 smokers who visited the American Cancer Society's Great American Smokeout (GASO) webpage. Cluster analysis was conducted on ratings of interest.

RESULTS

In total, 48% (572/1196) of respondents were "quite a bit" or "very much" interested in nicotine replacement therapy (NRT), 45% (534/1196) in a website that provides customized quitting advice, and 37% (447/1196) in prescription medications. Only 11.5% (138/1196) indicated similar interest in quitlines, and 17% (208/1196) in receiving customized text messages. Hierarchical agglomerative cluster analysis revealed that interest in treatments formed 3 clusters: interpersonal-supportive methods (eg, telephone counseling, Web-based peer support, and in-person group programs), nonsocial-informational methods (eg, Internet programs, tailored emails, and informational booklets), and pharmacotherapy (NRT, bupropion, and varenicline). Only 5% (60/1196) of smokers were "quite a bit" or "very much" interested in interpersonal-supportive methods compared with 25% (298/1196) for nonsocial-informational methods and 33% (399/1196) for pharmacotherapy. Multivariate analyses and follow-up comparisons indicated that level of interest in pharmacotherapy ("quite a bit or "very much" vs. "not at all") varied as a function of education (n = 575, χ(2) (3) =16.6, P = .001), age (n = 528, χ(2) (3) = 8.2, P = .04), smoking level (n = 514, χ(2) (3) = 9.5, P = .02), and when smokers were planning to quit (n = 607, χ(2) (4) = 34.0, P < .001). Surprisingly, greater age was associated with stronger interest in nonsocial-informational methods (n = 367, χ(2) (3) = 10.8, P = .01). Interest in interpersonal-supportive methods was greater if smokers had used a quitline before (n = 259, χ(2) (1) = 18.3, P < .001), or were planning to quit earlier rather than later (n = 148, χ(2) (1) = 4.9, P = .03).

CONCLUSIONS

Smokers accessing the Internet for information on quitting appear to differentiate cessation treatments by how much interpersonal interaction or support the treatment entails. Quitting date, smoking level, and sociodemographic variables can identify smokers with varying levels of interest in the 3 classes of cessation methods identified. These results can potentially be used to more effectively target and increase demand for these treatments among smokers searching the Internet for cessation information.

The influence of sexual orientation and masculinity on young men's tobacco smoking

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 self-consciousness 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.

Self-expansion and smoking abstinence

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.

Randomized controlled trial of an interactive internet smoking cessation program with long-term follow-up

BACKGROUND

Internet programs for smoking cessation are widely available but few controlled studies demonstrate long-term efficacy.

PURPOSE

To determine the 13-month effectiveness of an Internet program presenting a set sequence of interactive steps, and the role of depressed affect.

METHODS

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).

RESULTS

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.

CONCLUSIONS

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.

Depressive symptoms and smokers' perceptions of lung cancer risk: moderating effects of tobacco dependence

Smokers who acknowledge the personal health risks of smoking are more likely to attempt quitting. Unfortunately, many smokers are unrealistically optimistic about their health risks. Depressed smokers, however, may be more realistic about their risks. These studies examined the relationship between depressive symptoms and risk perceptions among two groups: college-age smokers (N = 128) and smokers from the nationally representative HINTS database (N = 1,246). In the college sample, among highly tobacco dependent smokers, more depressed smokers believed more strongly that quitting eliminates lung cancer risk (b = - .27, p = .01), and they estimated a faster reversal of risk after quitting (b = - .70, p = .03). In the HINTS sample, among highly tobacco dependent women, the more depressed they were, the higher their perceived risk of developing lung cancer (b = .23, p = .05). In sum, depressive symptoms among some smokers may lead to heightened risk perceptions. However the belief that quitting can reduce risk quickly might encourage smokers to postpone quitting. Cessation programs could benefit from tailoring their programs accordingly.

Parental communication not to smoke and adolescent cigarette smokers' readiness to quit: differences by age

There is limited information on the relationship between parental practices that specifically discourage current cigarette smoking and adolescent cessation, and how this relationship varies by age. Among 1629 adolescent smokers, self-reported receipt of parental communication not to smoke was significantly and positively associated with readiness to quit. The strength and significance of this association decreased from early to middle adolescence and was not significant in late adolescence.

Paradoxical effects of social support on blood pressure reactivity among defensive individuals

BACKGROUND

Social support can reduce cardiovascular responses to an acute stressor. However, prior clinical research suggests that defensive individuals may react negatively to social support.

PURPOSE

This experiment examined whether emotional support provided during a speech stressor would escalate rather than decrease blood pressure (BP) reactivity among defensive individuals.

METHODS

After completing personality measures, 176 female undergraduates were randomly assigned to give a speech in 1 of 3 social conditions: alone, or with a neutral or supportive confederate present. Mean arterial BP was assessed at baseline, immediately before, and during and after the stressor.

RESULTS

In the supportive condition, defensiveness predicted higher BP reactivity during anticipation (beta = .35, p = .04) and delivery of the speech (beta = .32, p = .03), and longer recovery to baseline BP levels (beta = .35, p = .01). In the absence of support (i.e., alone and neutral conditions), defensiveness was not associated with BP reactivity. Defensiveness also predicted greater dissociation between subjective stress and BP responses (beta = .35, p = .05), but only in the supportive condition.

CONCLUSIONS

According to results, the provision of social support during stressors does not benefit defensive individuals' BP reactivity but has the opposite effect.

Autonomy (vs. sociotropy) and depressive symptoms in quitting smoking: evidence for trait-congruence and the role of gender

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 (beta=.47, p=.0001) than for women (beta=.20, p=.05). After accounting for autonomy's relationship with depressive symptoms, greater autonomy was inversely associated with lapsing among men (beta=-.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.