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.

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 (ßs = 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.

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.

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.

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.

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.

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.

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 (ß = 0.15 and -0.24, p < 0.01, respectively) and higher health self-efficacy (ß = 0.24, -0.38, p < 0.01, respectively). Timeline (i.e., perceiving cancer as chronic) was directly associated with lower health self-efficacy (ß = -0.15, p < 0.01) and higher FCR (ß = 0.51, p < 0.01). Both greater PA and FVI were directly associated with higher health self-efficacy (ß = 0.10 and 0.11, p < 0.01, respectively) which in turn showed a direct association with lower FCR (ß = -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.

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 ß = - .35, p < .001). Greater online social support was associated with increased well-being, but only among survivors reporting low offline social support (interaction ß = - .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.