Use of tobacco cessation treatments among young adult smokers: 2005 National Health Interview Survey

Informing the development of interventions for e-cigarette use and prevention of transition to cigarette smoking in young adults: A qualitative study

E-cigarette use in young individuals may increase risk for cigarette smoking initiation. Over half of young adults who use e-cigarettes voiced their desire to quit e-cigarettes. Mobile-based interventions may allow for an easy-to-use platform to engage young adults in cessation services and reduce risk for cigarette uptake. To inform development of such programs, this study sought to gather information about what young adults want to see included in e-cigarette cessation interventions that also target future smoking risk. Nine online focus groups (n = 33) were conducted in July and August 2022 with young adults who either (1) currently used e-cigarettes, (2) formerly used e-cigarettes, or (3) initiated nicotine use with e-cigarettes but subsequently smoked cigarettes (dual use). Two research team members independently coded the transcripts and identified themes. A third researcher independently reviewed the coding and thematic analysis. Participants believed that mobile-based interventions should include peer support, ways to track cessation progress, education about the harms of e-cigarettes, gamification, and incentivization. They also believed that to prevent future cigarette smoking, interventions need to include education about the harms of smoking, teach refusal skills for offers to smoke, and incorporate personal anecdotes from former smokers. To increase their readiness, motivation, and self-efficacy to quit, participants who continue to use e-cigarettes reported needing effective substitutions to replace e-cigarettes, barriers to hinder their access to e-cigarettes, and social support. Findings from this study may be useful to incorporate when developing interventions designed to reduce e-cigarette use and risk of progression to smoking for young adults.

The Impact of Smokers' Information-Seeking Behavior on Smoking Cessation

INTRODUCTION

Smoking has a harmful effect on human body and is rated to be the primary cause of preventable premature disease and death worldwide, while it is responsible for at least 25 life-threatening diseases.

METHODS

An empirical investigation has been carried out through the development and distribution of a structured questionnaire. The sample of empirical investigation consisted of 150 smokers aged over 18 years (response rate 85.7%).

ANALYSIS

Descriptive analysis and correlation control of questionnaire variables are used to report the findings of the study.

RESULTS

Information about passive smoking, smoking consequences, and current therapies in quitting smoking were rated highest among smoke-related information needs. The main sources of information were family/relatives/friends/colleagues and Internet and less important factors were formal sources like medical staff, health professionals, and primary health care services. Ε-health literacy is correlated with higher self-efficacy, positive intention to quit smoking, and better educational level while is negatively correlated with increasing age.

CONCLUSIONS

The creation of specialized programs and upgraded information services is fundamental for successful smoking cessation. These programs and services should be addressed to all socioeconomic groups and combined with the improvement in smokers' e-health literacy will contribute to a higher self-efficacy and finally drive them to quit smoking.

Tailored text message and web intervention for smoking cessation in U.S. socioeconomically-disadvantaged young adults: A randomized controlled trial

The prevalence of cigarette smoking in young adults is higher among those with socioeconomic disadvantage than those without. Low treatment-seeking among young adult smokers is compounded by few efficacious smoking cessation interventions for this group, particularly socioeconomically-disadvantaged young adults (SDYA) who smoke cigarettes. The goal of this study was to test a tailored smoking-cessation intervention for SDYA. 343 SDYA aged 18-30 living in the U.S. (85% female) who smoke cigarettes with access to a smartphone and interest in quitting smoking in the next six months were recruited online in Spring 2020 and randomized to referral to online quit resources (usual care control; n = 171) or a 12-week tailored text message smoking-cessation program with a companion web-based intervention (n = 172). Intent to treat analyses examined associations between study condition, self-reported 30-day point prevalence abstinence (PPA), and confidence to quit smoking at 12 weeks, controlling for potential confounders. Intervention group participants had greater self-reported 30-day PPA at 12-weeks than controls (adjusted relative risk 3.93, 95% CI 2.14-7.24). Among those who continued smoking, the intervention increased confidence to quit (0.81 points, 95% confidence interval 0.08-1.53). Weekly engagement in the intervention predicted greater cessation. A tailored text message intervention for SDYA increased smoking abstinence and confidence to quit at the end-of-treatment. Findings may have been influenced by recruitment at the start of the COVID pandemic but suggest that text messaging is an acceptable and efficacious cessation strategy for SDYA smokers. Future studies should examine the impact on longer-term smoking-cessation and importance of intervention tailoring for SDYA.

Smartphone Application for Smoking Cessation (Quit with US): A Randomized Controlled Trial among Young Adult Light Smokers in Thailand

This study aimed to determine the efficacy of a smartphone application named Quit with US among young adult smokers. An open-label, parallel, 2-group, randomized controlled trial with a 12-week follow-up was conducted between March and November 2020 among undergraduate students (18 to 24 years) in Chiang Mai Province, Thailand. A total of 273 participants were assigned by simple randomization procedure to the Quit with US intervention group (n = 137) or the control group (n = 136). All participants received pharmacists’ smoking cessation counseling at baseline and follow-ups. In addition, the intervention group’s participants were advised to use Quit with US. The baseline and 12-week follow-up assessments were conducted at a study unit, whereas other follow-ups were completed over the telephone. The primary abstinence outcome was the exhaled CO concentration level (≤6 ppm) verified 7-day point prevalence abstinence. At baseline, the participants’ mean (standard deviation) age was 21.06 (1.62) years. Most identified as daily smokers (57.9%, n = 158), consumed ≤10 cigarettes daily (89.4%, n = 244), and expressed low level of nicotine dependence as measured by Heaviness of Smoking Index score (86.1%, n = 235). Regarding intention-to-treat analyses, participants in the Quit with US intervention group achieved significantly greater smoking abstinence rate than those in the control group (58.4% (80/137) vs. 30.9% (42/136), risk ratio = 1.89, 95% confidence intervals = 1.42 to 2.52, p < 0.001). In conclusion, Quit with US integrated with pharmacists’ smoking cessation counseling significantly enhanced smoking abstinence rates among young adult light smokers consuming ≤ 10 cigarettes daily.

Characteristics of Patients Engaging in Quitline Counseling After an Electronic Referral

INTRODUCTION

Proactive, electronic referral of primary care patients to quitlines has great potential to provide evidence-based tobacco-cessation assistance to tobacco users. However, the quitline contact rates and engagement of individuals beyond 1 counseling call are poor. This study examines the characteristics of electronically referred patients who engage with the quitline.

METHODS

This cross-sectional study included 2,407 primary care patients who reported using tobacco and accepted an electronic referral to the quitline. Outcomes included contact, enrollment, and receipt of ≥2 counseling sessions from the quitline. All measures were assessed from the electronic health record. The association of patient characteristics and outcomes was evaluated using logistic regression modeling with generalized estimating equation methods. Data were collected in 2016‒2018 and were analyzed in 2020.

RESULTS

Among 2,407 referred patients, 794 (33.0%) were contacted; of those, 571 enrolled (71.9%); and of those, 240 (42.0%) engaged in ≥2 quitline counseling sessions. In multivariable analyses, older adults (aged 50-64 and ≥65 years) were significantly more likely to be contacted (OR=2.32, 95% CI=1.6, 3.4) and to receive ≥2 counseling sessions (OR=2.34, 95% CI=1.2, 4.7) than those aged 18-34 years. Those with both Medicare and Medicaid insurance coverage were more likely than those with Medicaid only to be contacted (OR=1.71, 95% CI=1.4, 2.2), to enroll (OR=1.84, 95% CI=1.2, 2.9), and to receive ≥2 counseling sessions (OR=1.83, 95% CI=1.2, 2.9).

CONCLUSIONS

The current quitline phone-based approach is less likely to engage younger adults and those with Medicaid coverage; however, there is a need to improve quitline engagement across all patients. Identification and testing of alternative engagement approaches are needed.

Evaluating the use of a recommender system for selecting optimal messages for smoking cessation: patterns and effects of user-system engagement

Background

Motivational messaging is a frequently used digital intervention to promote positive health behavior changes, including smoking cessation. Typically, motivational messaging systems have not actively sought feedback on each message, preventing a closer examination of the user-system engagement. This study assessed the granular user-system engagement around a recommender system (a new system that actively sought user feedback on each message to improve message selection) for promoting smoking cessation and the impact of engagement on cessation outcome.

Methods

We prospectively followed a cohort of current smokers enrolled to use the recommender system for 6 months. The system sent participants motivational messages to support smoking cessation every 3 days and used machine learning to incorporate user feedback (i.e., user’s rating on the perceived influence of each message, collected on a 5-point Likert scale with 1 indicating strong disagreement and 5 indicating strong agreement on perceiving the influence on quitting smoking) to improve the selection of the following message. We assessed user-system engagement by various metrics, including user response rate (i.e., the percent of times a user rated the messages) and the perceived influence of messages. We compared retention rates across different levels of user-system engagement and assessed the association between engagement and the 7-day point prevalence abstinence (missing outcome = smoking) by using multiple logistic regression.

Results

We analyzed data from 731 participants (13% Black; 73% women). The user response rate was 0.24 (SD = 0.34) and user-perceived influence was 3.76 (SD = 0.84). The retention rate positively increased with the user response rate (trend test P < 0.001). Compared with non-response, six-month cessation increased with the levels of response rates: low response rate (odds ratio [OR] = 1.86, 95% confidence interval [CI]: 1.07–3.23), moderate response rate (OR = 2.30, 95% CI: 1.36–3.88), high response rate (OR = 2.69, 95% CI: 1.58–4.58). The association between perceived message influence and the outcome showed a similar pattern.

Conclusions

High user-system engagement was positively associated with both high retention rate and smoking cessation, suggesting that investigation of methods to increase engagement may be crucial to increase the impact of the recommender system for smoking cessation.

Trial registration

Registration Identifier: NCT03224520. Registration date: July 21, 2017.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11803-8.

An Avatar-Led Intervention Promotes Smoking Cessation in Young Adults: A Pilot Randomized Clinical Trial

BACKGROUND

Smoking remains a global concern, especially for young adults. There is a dearth of smoking cessation programs for this population, who seldom seek help or are motivated to quit.

PURPOSE

This pilot study assessed the effectiveness of a digital avatar-led Acceptance and Commitment Therapy (ACT) smoking cessation program (Flexiquit) for young adult smokers at all levels of motivation to quit.

METHODS

Smokers with no particular interest in quitting smoking (65.45% reported being in pre-contemplation or contemplation stages of change) were recruited from three universities (105 smoking ≥ 1 cigarette per day during the past 30 days, 68 females). Those who completed questionnaires online (N = 84; M = 22.44 years, SD = 2.61, range 18-28 years old) were randomized to either a six-session avatar-led intervention (Flexiquit; N = 49) or a wait-list control (N = 35). Primary outcomes included cessation status (7-day point prevalence) and number of cigarettes smoked per day; secondary outcomes were nicotine dependence, intention-to-quit smoking and self-efficacy, assessed at pre- and post-intervention, and only for Flexiquit at 6-month follow-up.

RESULTS

In intention-to-treat analysis more participants (OR = 3.10, 95% CI = 0.92-10.41) in the treatment group (28.57%) versus the control group (11.43%) reported quitting smoking; however, the difference was not statistically significant (p = .067). There were statistically significant decreases in average number of cigarettes, nicotine dependence and increases in self-efficacy, and intention-to-quit smoking compared to controls. Treatment gains in the Flexiquit group were maintained through the 6-month follow-up.

CONCLUSIONS

An avatar-led digitized smoking cessation intervention based on ACT could increase the odds of quitting smoking. Findings suggest that a digitized program designed to engage young adults in smoking cessation may result in quitting smoking and has a high applicability potential especially among the hard-to-reach population of young adults.

QUESTION

Can an avatar-led digitized Acceptance and Commitment Therapy (ACT) smoking cessation intervention result in quitting smoking and increasing intention to quit among young smokers at various levels of motivation to quit, compared to a wait-list control group?

FINDINGS

In this pilot randomized clinical trial that included 84 smokers, 28.57% in the treatment condition versus 11.43% in the wait-list control group were abstinent at post (intention-to-treat [ITT] analysis). An avatar-led digitized ACT smoking cessation intervention results in high quitting smoking rates and has a high applicability potential especially among the hard-to-reach population of young adult smokers.

Feasibility of a Smoking Cessation Smartphone App (Quit with US) for Young Adult Smokers: A Single Arm, Pre-Post Study

While smartphone applications (apps) have been shown to enhance success with smoking cessation, no study has been conducted among young adult smokers aged 18-24 years in Thailand. Quit with US was developed based on the 5 A's model and self-efficacy theory. This single arm, pre-post study was conducted aiming to assess results after using Quit with US for 4 weeks. The primary outcome was a biochemically verified 7-day point prevalence of smoking abstinence. The secondary outcomes included smoking behaviors, knowledge and attitudes toward smoking and smoking cessation, and satisfaction and confidence in the smartphone app. A total number of 19 young adult smokers were included; most participants were males (68.4%) with the mean (SD) age of 20.42 (1.46) years. After 4 weeks of study, the primary outcome demonstrated a smoking cessation rate of 31.6%. All 19 participants expressed better smoking behaviors and better knowledge and attitudes toward smoking and smoking cessation. Further, they were satisfied with the smartphone app design and content and expressed confidence in using it. These findings provided preliminary evidence that Quit with US was found to be a potentially effective smoking cessation smartphone app for young adult smokers.

Developing a targeted e-cigarette health communication campaign for college students

BACKGROUND

E-cigarette use among college students has increased over the last several years, however, there are few published studies on e-cigarette interventions designed to prevent the initiation and escalation of e-cigarette use and to empower cessation for this population.

METHODS

We developed an e-cigarette health communication campaign for a large Midwestern university through collaboration between academic and student service departments. We conducted focus group discussions (7 groups; 4-25 per group; n = 98) to (a) understand the context of e-cigarette use on campus and (b) solicit feedback on sample messaging. We conducted thematic analysis using focus group notes and used findings to design final campaign messages and materials.

RESULTS

Six themes emerged: (a) vaping as a popular social activity, (b) progression to and perceptions of addiction, (c) cessation, (d) health effects and uncertainty, (e) intervention points, and (f) individual agency and message tone. Final campaign messages addressed the most salient points from the focus groups and were designed to increase the perceived susceptibility to and severity of risks of e-cigarette use and to increase perceived efficacy for quitting in accord with the Extended Parallel Processing Model (EPPM). Campaign messages and materials were integrated into wellness programming and disseminated across the university and community.

CONCLUSIONS

Our focus group discussions allowed campaign messages and materials to be tailored to college students. Collaborative approaches between academic and wellness programs can leverage scientific expertise and student services infrastructure to enhance programming on college campuses.

Internet-based intervention compared to brief intervention for smoking cessation in Brazil: a pilot study (Preprint)

Background

Smoking is still the leading cause of preventable death. Governments and health care providers should make available more accessible resources to help tobacco users stop.

Objective

This study describes a pilot longitudinal study that evaluated the efficacy of an internet-based intervention compared to the brief intervention for smoking cessation among Brazilians.

Methods

Eligible participants were recruited and randomly allocated to one of the two interventions. Measures were drawn by comparing cessation rates, motivation scores, and sought treatment between groups, assessed 1 and 3 months after the intervention. Inferential analysis was performed to compare the participants’ characteristics, and the intention to treat was calculated.

Results

A total of 49 smokers were enrolled in this study (n=25, 51% in the brief intervention group; n=24, 49% in the internet-based intervention group). Mean age was 44.5 (SD 13.3) years; most were male (n=29, 59.2%), had elementary school (n=22, 44.9%), smoked 14.5 cigarettes per day on average (SD 8.6), and had a mean score of 4.65 for nicotine dependence and 5.7 for motivation to quit. Moreover, 35 (71%) participants answered follow-up 1, and 19 (39%) answered follow-up 2. The results showed similar rates of cessation and reduction for both intervention groups.

Conclusions

The internet-based intervention was slightly more effective for smoking cessation, while the brief intervention was more effective in reducing the number of cigarettes smoked per day. This difference was small and had no statistical significance even after adjusting for intention-to-treat analysis. These results should be interpreted with caution, especially due to the small sample size.

Predictors of Cigarette Smoking Cessation in Adolescents: A Systematic Review

PURPOSE

To update a systematic review published in 2012 that identified predictors of cigarette smoking cessation among adolescents.

METHODS

The PubMed and Web of Science databases were searched for relevant articles published between September 2010 and January 2018, using the following keywords: smoking OR tobacco OR cessation; quit OR stop; longitudinal OR prospective OR cohort. Our search identified 3,399 articles. Inclusion criteria included longitudinal studies (intervention and cohort studies) evaluating cigarette smoking cessation in young people (aged 10-24 years). After screening, in total, 34 articles were included in the review.

RESULTS

In total, 63 predictors of smoking cessation among adolescents were identified, with 36 new predictors that were not identified in the previous review: nine sociodemographic factors, 13 psychosocial factors, five behavioral factors, 19 social influences factors, eight smoking related variables, six environmental factors, 2 health related variables, and one genetic factor.

CONCLUSIONS

To increase the probability of successful smoking cessation, strategies targeting young smokers should consider both individual and environmental predictors of cessation.

Real-World Effectiveness of Smoking Cessation Strategies for Young and Older Adults: Findings From a Nationally Representative Cohort

INTRODUCTION

Young adults have high combustible cigarette and e-cigarette use rates, and low utilization of evidence-based smoking cessation strategies compared to older adults. It is unknown whether young adults who try to quit smoking without assistance, with evidence-based strategies, or with e-cigarettes, are equally successful compared to older adults.

AIMS AND METHODS

This analysis used a population-based sample from the Population Assessment of Tobacco and Health study of young adult (aged 18-24, n = 745) and older adult (aged 25-64, n = 2057) established cigarette smokers at Wave 1 (2013-2014) who reported having made a quit attempt at Wave 2 (2014-2015). Cessation strategies were: behavioral therapy, pharmacotherapy, product substitution, 2+ strategies, and unassisted. Logistic regression estimated associations between cessation strategy and short-term cessation status at Wave 2 (quit, no quit); multinomial logistic regression predicted long-term cessation patterns at Waves 2 and 3 (sustained quit, temporary quit, delayed quit, no quit).

RESULTS

No cessation strategy (ref: unassisted) significantly predicted short-term cessation. No cessation strategy (ref: unassisted) significantly predicted long-term cessation patterns for young adults. Substitution with e-cigarettes predicted short-term cessation for older daily smokers of ≥5 cigarettes/day (adjusted odds ratio [AOR]: 1.70; 95% confidence interval: 1.08, 2.67) but did not predict long-term cessation patterns.

CONCLUSIONS

Despite differences in cessation strategy use between young and older adult smokers, strategy effectiveness largely did not differ by age group. No strategy examined, including e-cigarettes, was significantly associated with successful cessation for young adults. More work is needed to identify effective interventions that help young adult smokers quit.

IMPLICATIONS

(1) Neither behavioral support, pharmacotherapy, nor product substitution was associated with short-term cessation for young or older adults compared to quitting unassisted. (2) Neither behavioral support, pharmacotherapy, nor product substitution was associated with longer-term cessation for young or older adults compared to quitting unassisted. (3) Substitution with e-cigarettes predicted short-term cessation for older daily smokers of ≥5 cigarettes/day but was not associated with longer-term cessation.

Electronic Cigarette Cessation among Adolescents and Young Adults

BACKGROUND

E-cigarette use is common among adolescents and young adults, yet little is known about e-cigarette cessation among this group. The current study assessed e-cigarette cessation attempts, interest in e-cigarette cessation, and methods of e-cigarette cessation most favored by young e-cigarette users.

METHODS

A cross-sectional survey was administered via Facebook and Instagram between February and April 2019 to enroll current, regular e-cigarette using adolescents and young adults who reported non-regular use of other tobacco products. Participants included 212 (51.4% female) adolescents and young adults (14 to 21 years of age) who reported six or more days of e-cigarette use and less than four days of other tobacco product use in the last 30 days.

RESULTS

More than half (n = 110; 51.9%) of the participants reported at least one past serious e-cigarette quit attempt. Among those, the average number of past quit attempts was 2.9 (SD = 3.9). Of the 157 (74.1%) participants who indicated they were interested in quitting e-cigarettes, 78 (49.7%) endorsed health risks as their primary reason for wanting to quit e-cigarettes. The most frequently endorsed intervention methods to aid in e-cigarette cessation were those delivered via digital methods, such as smartphone apps.

CONCLUSION

The current study provides preliminary data to support continued development of e-cigarette cessation treatments for adolescents and young adults. Future research should evaluate the potential use of digital methods to aid in e-cigarette cessation.

The Put It Out Project (POP) Facebook Intervention for Young Sexual and Gender Minority Smokers: Outcomes of a Pilot, Randomized, Controlled Trial

INTRODUCTION

This trial investigated whether a Facebook smoking cessation intervention culturally tailored to young sexual and gender minority (SGM) smokers (versus non-tailored) would increase smoking abstinence.

METHODS

Participants were 165 SGM young adult US smokers (age 18-25) recruited from Facebook in April 2018 and randomized to an SGM-tailored (POP; N = 84) or non-tailored (TSP-SGM; N = 81) intervention. Interventions delivered weekly live counseling sessions and 90 daily Facebook posts to participants in Facebook groups. Primary analyses compared POP and TSP-SGM on biochemically verified smoking abstinence (yes/no; primary outcome), self-reported 7-day point prevalence abstinence (yes/no), reduction in cigarettes per week by 50+% from baseline (yes/no), making a quit attempt during treatment (yes/no), and stage of change (precontemplation/contemplation vs. preparation/action). Supplemental analyses compared POP to two historical control groups.

RESULTS

POP participants were more likely than TSP-SGM participants to report smoking abstinence at 3 (23.8% vs. 12.3%; OR = 2.50; p = .03) and 6 months (34.5% vs. 12.3%; OR = 4.06; p < .001) and reduction in smoking at 3 months (52.4% vs. 39.5%; OR = 2.11; p = .03). Biochemically verified smoking abstinence did not significantly differ between POP and TSP-SGM at 3 (OR = 2.00; p = .33) or 6 months (OR = 3.12; p = .08), potentially due to challenges with remote biochemical verification. In supplemental analyses, POP participants were more likely to report abstinence at 3 (OR = 6.82, p = .01) and 6 (OR = 2.75, p = .03) months and reduced smoking at 3 months (OR = 2.72, p = .01) than participants who received a referral to Smokefree.gov.

CONCLUSIONS

This pilot study provides preliminary support for the effectiveness of a Facebook smoking cessation intervention tailored to SGM young adults.

IMPLICATIONS

SGM individuals have disproportionately high smoking prevalence. It is unclear whether smoking cessation interventions culturally tailored to the SGM community are more effective than non-tailored interventions. This pilot trial found preliminary evidence that an SGM-tailored Facebook smoking cessation intervention increased reported abstinence from smoking, compared to a non-tailored intervention.

TRIAL REGISTRATION

NCT03259360.

Tobacco Advertising, Anti-Tobacco Information Exposure, Environmental Smoking Restrictions, and Unassisted Smoking Cessation Among Chinese Male Smokers: A Population-Based Study

The study examined the prevalence of unassisted smoking cessation among Chinese urban male smokers and factors important in the decision to quit. A cross-sectional survey employing multistage sampling involving 5,782 participants in six cities in China was conducted. Survey respondents reported their smoking cessation status and related individual and environmental variables. Among current smokers 1,112 or 35.0% (95% CI [31.0%, 40.8%]) had attempted to quit and of those who had made such an attempt 87.6% reported that they had done so without assistance. Of all former smokers (3,389), most (97.6%; 95% CI [96.7%, 98.5%]) quit without assistance. Logistic regression analysis showed those who engaged in physical exercise and who had more belief in their ability to quit were more than twice as likely to make a quit attempt and be successful than those in comparable reference groups. Exposure to tobacco advertising was negatively associated with both unassisted quit attempts and success. By contrast, exposure to anti-tobacco information was positively associated with unassisted quit attempts while household and workplace smoking restrictions were negatively associated with unassisted attempts to quit. Most attempts to quit smoking among Chinese males are unassisted. Unassisted attempts to quit smoking and success rates are highly influenced by the presence of environmental smoking restrictions, tobacco advertising, and exposure to anti-tobacco information. Smoking cessation programs and policies in China need to pay greater attention to the social and cultural norms, which perpetuate high levels of smoking.

Real-world unassisted quit success and related contextual factors: a population-based study of Chinese male smokers

OBJECTIVES

To examine the association of exposure to secondhand smoke (SHS) and tobacco advertising with unassisted smoking cessation among Chinese male smokers.

METHODS

A questionnaire was administered to 6500 male adult smokers from six cities in China selected in a cross-sectional multistage sampling design. The survey collected self-reported demographic characteristics, smoking and cessation status, SHS exposure and tobacco advertising exposure, with 5782 valid questionnaires included in this study. Multiple logistic regression analysis was used to assess the association of unassisted smoking cessation with exposure to SHS and tobacco advertising.

RESULTS

42.1% of smokers who made unassisted quit attempts achieved abstinence (95% CI 32.5% to 51.7%). SHS (adjusted OR (aOR) 0.36; 95% CI 0.18 to 0.71; p=0.033) and tobacco advertising exposure (aOR 0.63; 95% CI 0.37 to 0.95; p=0.039) were negatively associated with unassisted smoking cessation.

CONCLUSION

The vast majority of Chinese male smokers rely on unassisted methods to quit smoking. Success prevalence is high, which is very beneficial to health. This study suggests that exposure to secondhand smoking and tobacco advertising hinders the success of unassisted cessation. These findings speak to the need for environmental tobacco control measures to promote unassisted smoking cessation among Chinese adult male smokers.

Smoking-Cessation Interventions for U.S. Young Adults: Updated Systematic Review

CONTEXT

Recent data suggest that the onset of cigarette smoking is now more likely during young adulthood than adolescence. Additionally, the landscape of delivering smoking-cessation interventions has changed in the past decade, with the emergence of mobile phone and web-based approaches. The objective of this study is to update a 2010 systematic review of smoking-cessation interventions for U.S. young adults (aged 18-24 years).

EVIDENCE ACQUISITION

Electronic searches were conducted in CINAHL, the Cochrane Library, Embase, PsycINFO, PubMed, Scopus, and Sociological Abstracts to identify eligible interventions from August 31, 2009 through July 17, 2019. Two independent coders critically evaluated the methodology and findings of all retrieved articles. Data analysis was conducted in 2019.

EVIDENCE SYNTHESIS

A total of 17 RCTs and 1 nonrandomized study were added to the original 14 studies meeting the inclusion criteria for this review; these studies varied with respect to sample size, intervention, assessed outcomes, and smoking measures. Of the new studies, 3 increased cessation in the short term, 2 at 6 months, and 1 had short-term effects on cigarette reduction. Pooled analyses supported the use of interventions employing social cognitive theory, quitline counseling, and text message programs for short-term cessation in young adults.

CONCLUSIONS

Of 32 included studies, 9 demonstrated efficacy of smoking cessation or reduction in U.S. young adults. There were no eligible pharmacologic interventions included in this review. Findings support the promise of 3 approaches for young adult cessation not included in the prior review: text message interventions, sustained quit-and-win contests, and multiple behavior interventions.

Cold Turkey and Hot Vapes? A National Study of Young Adult Cigarette Cessation Strategies

INTRODUCTION

Young adults have high smoking rates and low utilization of evidence-based smoking cessation strategies. We investigated smoking cessation intentions, strategy use, and socioeconomic predictors of strategy use among young adult smokers (age 18-24) and compared patterns with those of older adults (age 25-64).

METHODS

We used a population-based sample from the Population Assessment of Tobacco and Health (PATH) study of young adult (n = 1,881) and older adult (n = 6,366) established smokers of conventional cigarettes at Wave 1 (2013-2014), who were surveyed at Wave 2 (2014-2015). Simple regression analysis compared intentions to quit between age groups. Among Wave 1 smokers who reported a Wave 2 quit attempt (young adults [YA] n = 748; older adults [OA] n = 2,068), bivariate and multinomial logistic regression estimated differences in use of behavioral support, pharmacotherapy, product substitution, and unassisted quit attempts. Interaction terms estimated age-group differences in relationships between predictors and cessation strategy use.

RESULTS

Young adults planned to quit on a longer time frame, expressed lower interest in quitting, and were more confident they would be successful, compared with older adults. Young adults were significantly less likely to use pharmacotherapy (adjusted odds ratio: 0.15; confidence interval: 0.09, 0.24; reference: quitting unassisted). Both groups reported using product substitution (YA: 31.6%; OA: 28.5%), primarily with e-cigarettes, more than any evidence-based cessation strategy. Socioeconomic predictors of cessation strategy use did not differ between age groups.

CONCLUSIONS

More research on why young adult smokers underutilize evidence-based cessation support is needed, as are innovative efforts to increase intentions to quit and utilization of cessation assistance.

IMPLICATIONS

Young adulthood is a key transition time for tobacco use, and early cessation substantially reduces the risk of morbidity and mortality from smoking. In the context of high e-cigarette and polytobacco use, this study finds young adults have significantly less intention to quit than older adults and are less likely to use evidence-based cessation strategies to help quit. Innovative methods are needed to increase young adult intentions to quit and use of evidence-based cessation assistance.

Using social media for smoking cessation interventions: a systematic review

Background:

Previous studies have shown that smoking tobacco significantly increases both incidence and mortality rates for many diseases. Social media has become one of the most influential platforms for various smoking cessation interventions. However, results from smoking cessation interventions have differed from study to study. Limited studies have summarised cessation outcomes from social media–based interventions. Therefore, the objective of this review is to explore the effectiveness of using social media for smoking cessation.

Methods:

We searched PubMed, MEDLINE, PsycINFO, and CINAHL for articles between June 2008 and June 2018, and also assessed the references of selected articles. We included studies that used social media as intervention platforms, provided a baseline assessment before the intervention, and provided smoking cessation outcomes after the intervention.

Results:

We identified 13 original studies that enrolled between 16 and 1698 participants; 7-day Point Prevalence Abstinence (PPA) rate was the most frequently used measure of abstinence, with a range of 7%–75%, regardless of the measurement time, study design, and analysis methods. Social media–based smoking cessation interventions were effective, because (1) smokers reported higher 7-day PPA rates after intervention compared to baseline and (2) smokers reported higher 7-day PPA rates in intervention groups than in control groups. Moreover, at each time point, approximately half of all smokers in studies reporting abstinence were found to be biochemically abstinent. There were no significant differences in the effectiveness of smoking cessation outcomes between those that used existing popular social networking platforms (e.g. Pechmann et al’s studies) and those that used individually designed interactive platforms (e.g. MyLastDip, iQuit system, Quitxt system).

Conclusions:

This review highlights the effectiveness of social media–based smoking cessation intervention studies. Due to the widespread use of social media, as well as its low cost, we suggest embedding smoking cessation interventions within existing popular social media platforms.

Disparities in Cessation Behaviors Between Hispanic and Non-Hispanic White Adult Cigarette Smokers in the United States, 2000-2015

Introduction

Hispanic adults make up a growing share of US adult smokers, and smoking is a major preventable cause of disease and death among Hispanic adults. No previous study has compared trends in smoking cessation behaviors among Hispanic adults and non-Hispanic white adults over time. We examined trends in cessation behaviors among Hispanic and non-Hispanic white adult cigarette smokers during 2000–2015.

Methods

Using self-reported data from the National Health Interview Survey, we compared trends in quit attempts, receipt of advice to quit from a health professional, and use of cessation treatment (counseling and/or medication) among Hispanic and non-Hispanic white adult smokers. We also assessed these behaviors among 4 Hispanic subgroups. We conducted analyses in 2018–2019.

Results

Past-year quit attempts increased during 2000–2015 among both non-Hispanic white and Hispanic smokers, with no significant differences between these groups. Receiving advice to quit increased significantly among non-Hispanic white adults but did not increase significantly among Hispanic adults. Cessation treatment use increased among both non-Hispanic white and Hispanic adults. Throughout 2000–2015, the prevalence of receiving advice to quit and using cessation treatments was lower among Hispanic adults than non-Hispanic white adults. In 2015, a higher proportion of Hispanic than non-Hispanic white smokers visited a health care provider without receiving advice to quit.

Conclusion

Hispanic adult smokers are less likely to receive advice to quit and to use proven cessation treatments than non-Hispanic white smokers, and this pattern persisted over time. Culturally competent educational initiatives directed at both providers and Hispanic communities could help eliminate this marked and persistent disparity.

"Isn't there a bunch of side effects?": A focus group study on the beliefs about cessation treatments of non-college educated young adult smokers

Smoking remains more prevalent among non-college educated and racial/ethnic minority young adults in the U.S. These smokers are less likely than their college educated/non-Hispanic white counterparts to use cessation treatments approved by the U.S. Food and Drug Administration (FDA). Alternative cessation methods (e.g., e-cigarettes) have also grown in popularity among smokers. Therefore, we conducted a focus group study to explore perceptions and beliefs about various cessation treatments among, racially/ethnically diverse, non-college educated young adult smokers. Seventy-five 18-29-year-old current smokers without a 4-year college education were recruited from the U.S. Washington, D.C. metropolitan area and attended one of twelve focus groups to discuss their awareness, beliefs, experiences, and intention for future use of cessation treatments. Focus groups were stratified by race/ethnicity (non-Hispanic white, non-Hispanic black, and Hispanic) and educational attainment (≤ high school vs. some college without obtaining a bachelor's degree). We used a thematic approach to analyze the discussions. We found that few participants were aware of cessation counseling or cessation related programs. Many participants reported previously using nicotine replacement therapies and e-cigarettes to quit smoking. Participants had little intention to use prescription medications due to perceived side effects. Participants' awareness, beliefs, and intentions of using other cessation treatments varied by race/ethnicity and educational attainment. In conclusion, our findings, if confirmed by subsequent quantitative studies, suggest that targeted media campaigns may be needed to explain the contents and benefits of behavioral cessation programs to non-college educated young adult smokers. Targeted media messages aim to overcome negative perceptions related to nicotine replacement therapy and prescription medications among non-college educated young adult smokers, especially those from racial/ethnic minority populations, may promote successful smoking cessation in this population.

A randomized controlled trial to test the effectiveness of a peer-based social mobile game intervention to reduce smoking in youth

Smoking is a major cause of worldwide morbidity and mortality. Almost no evidence-based intervention programs are available to help youth quit smoking. We argue that ineffective targeting of peer influence and engagement difficulties are significant barriers to successful youth smoking cessation. To address these barriers, we developed the mobile game intervention HitnRun. A two-armed randomized controlled trial (RCT; n = 144) was conducted and young smokers (Mage = 19.39; SDage = 2.52) were randomly assigned to either play HitnRun or read a psychoeducational brochure. Prior to, directly following the intervention period, and after three-month follow-up, weekly smoking behavior, abstinence rates, intervention dose, and peer- and engagement-related factors were assessed. Results indicated similar reductions in weekly smoking levels and similar abstinence rates for both groups. Yet, we found a dose effect with HitnRun only: The longer participants played HitnRun, the lower their weekly smoking levels were. In the brochure group, a higher dose was related to higher weekly smoking levels at all measurement moments. Exploratory analyses showed the most powerful effects of HitnRun for participants who connected with and were engaged by the intervention. Future work should build on the promising potential of HitnRun by increasing personalization efforts and strengthening peer influence components.

Pharmacological Treatment of Youth Substance Use Disorders

While the majority of youth who experiment with alcohol and drugs do not develop problematic levels of use, 5% of adolescents and 15% of young adults meet criteria for a substance use disorder (SUD). Pharmacotherapy, in combination with behavioral interventions, has the potential to increase the likelihood of successful treatment for youth struggling with SUD; however, the literature in this area is limited. To date, there are no Food and Drug Administration (FDA)-approved medications for adolescent SUD, other than buprenorphine, which has been approved down to 16 years of age for opioid use disorder. Despite alcohol and cannabis being the most commonly used substances during adolescence, only three medications have been tested among this demographic, and only two have warranted further study (i.e., naltrexone for alcohol and N-acetylcysteine for cannabis use disorder). Although less common in adolescents and young adults, the most promising pharmacological findings for this age group are for opioid (buprenorphine) and tobacco (bupropion and varenicline) use disorders. In addition, despite the recent marked increases in electronic nicotine delivery systems (i.e., vaping) among youth, treatment strategies are still in their infancy and no recommendation exists for how to promote cessation for youth vaping. Current findings are limited by: small, demographically homogeneous samples; few trials, including a substantial number of youth younger than 18; low retention; medication adherence rates; and minimal information on effective dosing levels and long-term outcomes. Overall, pharmacotherapy may be a potentially effective strategy to increase treatment effects; however, more rigorous research trials are warranted before FDA approval would be granted for any of the potential adjunctive medications in this age group.

E-cigarette Use, Tobacco Product Polyuse, and Motivations for Use among Baltimore Young Adults

Objective

We examined reasons for e-cigarette use, tobacco product polyuse, and tobacco cessation interest among tobacco-using young adults from an urban setting.

Methods

Participants (N = 97) completed a risk factor survey. Descriptive statistics and prevalence estimates of polytobacco use patterns, motivations for tobacco use, tobacco cessation interest, and beliefs and risk perceptions about tobacco use were explored.

Results

All participants had a history of polyuse, and 85% were current polyusers. Stress was the primary reason reported for tobacco use. Compared to single-product users, current polyusers also were more likely to mention environment and cheap cost as reasons for use. Most participants perceived cigarettes to be as addictive as cocaine or heroin, although this perception was less common among e-cigarette users than non-users. Among study participants, 59% reported wanting to stop using tobacco completely. Among current polyusers, those that used e-cigarettes were more likely to report cessation attempts during the past year and express interest in enrolling in a quit smoking text messaging program.

Conclusion

In our sample there was a high prevalence of polytobacco product use and complex tobacco use patterns among young adults, both in and out of college, from an urban community.

"I'm Scared of the Disappointment": Young Adult Smokers' Relational Identity Gaps and Management Strategies as Sites of Communication Intervention

While cigarette smoking is decreasing among young adults, rates of nicotine consumption through other devices, most notably electronic cigarettes, are on the rise. Framed by communication theory of identity, this study examines young adult smokers' experiences with relational others in regard to their smoking. Focus group discussions and individual interviews convened with 20 young adult cigarette and electronic cigarette smokers revealed identity gaps implicating the relational layer of identity, including personal-relational, enacted-relational, and personal-enacted-relational identity gaps. Participants used communicative and behavioral strategies to manage relational discrepancies. The documented identity gaps and management strategies present opportunities for targeted smoking cessation interventions that amplify dissonance created through identity gaps as a motivational tactic.

Smoking Cessation among Female and Male Veterans before and after a Randomized Trial of Proactive Outreach

Introduction:

Female veterans smoke cigarettes at high rates compared with both male veterans and nonveteran women. Proactive outreach (PRO) to smokers may reduce gender disparities in cessation care. The objectives of this study were to compare baseline experiences with VA smoking cessation care for men and women and to assess for gender differences in response to a PRO intervention.

Methods:

We conducted a post hoc subgroup analysis of a pragmatic, multisite randomized, controlled trial comparing PRO with usual care (UC). Baseline experiences included physician advice to quit, satisfaction with care, and past-year treatment use. At the 1-year follow-up, treatment use, quit attempts, and 6-month prolonged abstinence for women and men randomized to PRO versus UC were compared using logistic regression.

Results:

Baseline and follow-up surveys were returned by 138 women and 2,516 men. At baseline, women were less likely than men to report being very or somewhat satisfied with the process of obtaining smoking cessation medications in the VA (47% of women vs. 62% of men), but no less likely to report having used cessation medications from the VA in the past year (39% of women vs. 34% of men). After the intervention, phone counseling and combined therapy increased among both women and men in PRO as compared with UC. At the 1-year follow-up, men in PRO were significantly more likely to report prolonged abstinence than those in UC (odds ratio, 1.65; 95% CI, 1.28–2.14); results for women were in the same direction but not statistically significant (odds ratio, 1.39; 95% CI, 0.48–3.99).

Conclusions:

Satisfaction with cessation care in VA remains low. PRO to smokers was associated with an increased use of cessation therapies, and increased odds of achieving prolonged abstinence. A subgroup analysis by gender did not reveal significant differences in the treatment effect.

E-cigarette Use Among Young Adults in the U.S

INTRODUCTION

Use of e-cigarettes is increasing among young adults in the U.S. Whether e-cigarette use serves as an aid to smoking reduction or cessation among young adults remains a matter of contention. This analysis examines patterns of e-cigarette use in relation to cigarette smoking in a nationally representative sample of U.S. young adults.

METHODS

Data were analyzed from nationally representative U.S. adults, aged 18 to 35years (N=12,415), in the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III. Logistic regression assessed associations between e-cigarette use and smoking intensity, continuity, and reduction while controlling for several potential confounding factors. Data were analyzed in 2018.

RESULTS

Among cigarette smokers, e-cigarette use was associated with higher odds of tobacco use disorder (AOR=2.58, 95% CI=1.73, 3.83) and daily cigarette smoking (AOR=1.67, 95% CI=1.73, 3.83). Among adults aged 26-35years, e-cigarette use was also associated with heavy cigarette smoking (AOR=2.01, 95% CI=1.09, 3.74). Among lifetime smokers, e-cigarette use was associated with lower odds of stopping smoking (AOR=0.14, 95% CI=0.08, 0.23) and lower odds of a 50% reduction in cigarettes smoked per day (AOR=0.63, 95% CI=0.43, 0.93). Only 13.1% of young adults who ever used e-cigarettes reported using them to help stop or quit smoking.

CONCLUSIONS

Use of e-cigarettes by U.S. young adults, most of which is not intended to help reduce smoking, is related to more rather than less frequent and intensive cigarette smoking.

Comparison of Developers' and End-Users' Perspectives About Smoking Cessation Support Through the Crush the Crave App

Background

High smoking rates among end-users, combined with their high rates of app use, render this age group as a particularly captive audience for quit smoking apps. There is emerging evidence that apps are an effective way to support smoking cessation among end-users. How the expectations behind the design of apps align with the needs and preferences of end-users, and if this differs by gender, is poorly understood, limiting the ability to evaluate and scale these interventions.

Objective

The objective of this qualitative case study was to detail how the overall design approach of Crush the Crave (CTC), a quit smoking app that targets end-users, compares with young adult women’s and men’s perspectives and experiences, with consideration for the influence of gender.

Methods

Semistructured interviews were conducted with 15 developers involved in the development of CTC and 31 young adult CTC users. Data were analyzed inductively to derive thematic findings of the perceived pros and cons of CTC by both developers and end-users. Findings were grouped under 4 categories (1) technology and platforms utilized for the app, (2) foundation of app content, (3) underlying focus of the app, and (4) look, feel and functionality of the app.

Results

Under the category, technology and platforms utilized for the app, it was found that both developers and end-users agreed that apps aligned with the needs and preferences of young adult smokers. Major limitations with the technology identified by end-users were the frequent “glitches” and requirement for internet or data. For the category, foundation of app content,developers agreed that the strength of CTC was in its strong evidence-base. What mattered to end-users, however, was that the content was packaged positively, focusing on the benefits of quitting versus the consequences of smoking. It was found under the category, underlying focus of the app, that the individually-led focus of the app resonated with both developers and end-users, especially young men. Under the final category, look, feel and functionality of the app, it was found that developers were very positive about the app's aesthetics but end-users thought that the aesthetics incited a negative effect. Also, while end-users found it easy to use, they did not find the app intuitive. Finally, end-users thought that, because the app functions were largely based on a user’s quit date versus their ongoing efforts, this often lent to unmeaningful data.

Conclusions

The current study findings highlight the importance of understanding multiple perspectives of stakeholders involved in a mobile-based intervention. By gathering the viewpoints of developers and end-users, both problematic and effective approaches that underlie development goals were revealed as a means of informing the development, implementation, and evaluation of future electronic health (eHealth) interventions.

Tobacco Use and Cessation Behaviors in Young Adults: 2016 National Health Interview Survey

OBJECTIVES

To examine differences in tobacco use and cessation between young adults (aged 18-24 years) and adults aged 25 years or older.

METHODS

We used data from the 2016 US National Health Interview Survey (n = 33 028) to identify 13 494 current and former cigarette smokers (562 aged 18-24 years; 12 932 aged 25 years or older). We analyzed correlations between age group, cigarette smoking, cessation behaviors, and other tobacco and nicotine use.

RESULTS

Among current and former smokers, those aged 18 to 24 years had lower odds of having quit for 1 year or longer and higher odds of having tried e-cigarettes, cigars, pipes, and smokeless tobacco compared with adults aged 25 years or older, as well as higher odds of daily e-cigarette and smokeless tobacco use. Young adult smokers used fewer cigarettes per day than did those aged 25 years or older (mean = 8.8 vs 12.3), had higher odds of making a past-year quit attempt (adjusted odds ratio [AOR] = 1.42), and had lower odds of having a health professional talk to them about smoking (AOR = 0.44).

CONCLUSIONS

Greater experimentation with noncigarette products, lower cigarette consumption, and greater interest in quitting smoking invite novel intervention approaches to tobacco reduction, cessation, and relapse prevention in young adults.

Smoking cessation intervention trial outcomes for sexual and gender minority young adults

OBJECTIVE

Sexual and gender minority (SGM) individuals are more likely to smoke than are non-SGM individuals. It is unclear whether smoking cessation interventions for young adults are effective in the SGM population. The purpose of this study was to compare smoking cessation, other health risk behaviors, and intervention usability between SGM and non-SGM young adult smokers participating in a digital smoking cessation intervention trial.

METHODS

Young adult smokers (N = 500; 135 SGM) were assigned to a 90-day Facebook smoking cessation intervention (treatment) or referred to Smokefree.gov (control). Intervention participants were assigned to private Facebook groups tailored to their readiness to quit smoking. Participants reported their smoking status and other health risk behaviors at baseline, 3, 6, and 12 months. Usability of the intervention (i.e., perceptions of the intervention and treatment engagement) was assessed in the intervention group at 3 months.

RESULTS

Smoking cessation and intervention usability did not significantly differ between SGM participants and non-SGM participants. A greater proportion of SGM participants were at high risk for physical inactivity over the 12-month follow-up period (odds ratio [OR] = 1.55, p = .005).

CONCLUSION

SGM and non-SGM young adult smokers did not differ in their smoking cessation rates, perceptions of, or engagement in a digital intervention. Health risk behavior patterns were mostly similar; however, the disparity in physical activity between SGM and non-SGM smokers widened over time. Tailored interventions for SGM young adult smokers could increase focus on SGM experiences that can underlie multiple health risk behaviors, such as discrimination and the normativity of smoking. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Associations between marijuana use and tobacco cessation outcomes in young adults

Marijuana and tobacco co-use is common among young adults, and findings are mixed regarding the association between marijuana use and smoking cessation outcomes. This study examined the longitudinal relationships between marijuana use and smoking cessation outcomes among young adults (aged 18-25 years; N = 500) enrolled in a 3-month smoking cessation intervention on Facebook. At baseline and 3, 6, and 12 months, participants reported their marijuana use and their smoking behaviors (seven-day point prevalence abstinence from smoking, cigarettes per day, quit attempts) and readiness to quit. Longitudinal analyses controlled for experimental condition and adjusted for baseline stage of change, baseline average cigarettes per day, sex, alcohol use, and age participants began smoking regularly. Use of marijuana by young adult smokers was associated with a lower likelihood of reduced smoking (OR = 0.71, 95% CI [0.51, 0.98], p = .036) and a lower likelihood of abstaining from smoking (OR = 0.56, 95% CI [0.35, 0.90], p = .017) in the past seven days, as assessed over 12 months of follow-up. Use of marijuana was not significantly associated with perceptions of or engagement in the smoking cessation intervention, stage of change for quitting smoking, or tobacco quit attempts (all p's > 0.08). Study findings indicate that while marijuana use is unrelated to motivation to quit tobacco and engage in cessation interventions, marijuana use is associated with less success in reducing and abstaining from tobacco. Additional support and targeted tobacco cessation strategies to address challenges associated with marijuana co-use may be needed.

Effect of a Mobile Phone Intervention on Quitting Smoking in a Young Adult Population of Smokers: Randomized Controlled Trial

Background

Digital mobile technology presents a promising medium for reaching young adults with smoking cessation interventions because they are the heaviest users of this technology.

Objective

The aim of this study was to determine the efficacy of an evidence-informed smartphone app for smoking cessation, Crush the Crave (CTC), on reducing smoking prevalence among young adult smokers in comparison with an evidence-informed self-help guide, On the Road to Quitting (OnRQ).

Methods

A parallel, double-blind, randomized controlled trial with 2 arms was conducted in Canada to evaluate CTC. In total, 1599 young adult smokers (aged 19 to 29 years) intending to quit smoking in the next 30 days were recruited online and randomized to receive CTC or the control condition OnRQ for a period of 6 months. The primary outcome measure was self-reported continuous abstinence at the 6-month follow-up.

Results

Overall follow-up rates were 57.41% (918/1599) and 60.48% (967/1599) at 3 and 6 months, respectively. Moreover, 45.34% (725/1599) of participants completed baseline, 3-, and 6-month follow-up. Intention-to-treat analysis (last observation carried forward) showed that continuous abstinence (N=1599) at 6 months was not significantly different at 7.8% (64/820) for CTC versus 9.2% (72/779) for OnRQ (odds ratio; OR 0.83, 95% CI 0.59-1.18). Similarly, 30-day point prevalence abstinence at 6 months was not significantly different at 14.4% (118/820) and 16.9% (132/779) for CTC and OnRQ, respectively (OR 0.82, 95% CI 0.63-1.08). However, these rates of abstinence were favorable compared with unassisted 30-day quit rates of 11.5% among young adults. Secondary measures of quit attempts and the number of cigarettes smoked per day at 6-month follow-up did not reveal any significant differences between groups. For those who completed the 6-month follow-up, 85.1% (359/422) of young adult smokers downloaded CTC as compared with 81.8% (346/423) of OnRQ, χ²_1(N=845)=1.6, P=.23. Furthermore, OnRQ participants reported significantly higher levels of overall satisfaction (mean 3.3 [SD 1.1] vs mean 2.6 [SD 1.3]; t₆₄₄=6.87, P<.001), perceived helpfulness (mean 5.8 [SD 2.4] vs mean 4.3 [SD 2.6], t₆₅₇=8.0, P<.001), and frequency of use (mean 3.6 [SD 1.2] vs mean 3.2 [SD 1.1], t₆₈₃=5.7, P<.001) compared with CTC participants.

Conclusions

CTC was feasible for delivering cessation support but was not superior to a self-help guide in helping motivated young adults to quit smoking. CTC will benefit from further formative research to address satisfaction and usage. As smartphone apps may not serve as useful alternatives to printed self-help guides, there is a need to conduct further research to understand how digital mobile technology smoking cessation interventions for smoking cessation can be improved.

Trial Registration

ClinicalTrials.gov NCT01983150; http://clinicaltrials.gov/ct2/show/NCT01983150 (Archived by WebCite at http://www.webcitation.org/6VGyc0W0i)

A randomized controlled evaluation of the tobacco status project, a Facebook intervention for young adults

AIMS

To test the efficacy of the Tobacco Status Project (TSP) Facebook smoking cessation intervention for young adults relative to referral to an on-line program on biochemically verified 7-day abstinence from smoking.

DESIGN

Two-group parallel randomized controlled trial, comparing TSP (n = 251) to on-line control (n = 249) with follow-up to 12 months.

SETTING

On-line, throughout the United States.

PARTICIPANTS

Young adult cigarette smokers (mean age 21 years; 73% white, 55% female, 87% daily smokers).

INTERVENTIONS AND COMPARATOR

TSP provided private Facebook groups tailored to stage of change to quit smoking, daily contacts, weekly live counseling sessions, and for those ready to quit, six cognitive behavioral therapy counseling sessions. Some TSP groups were assigned randomly to receive a monetary incentive for engagement. Control provided referral to the National Cancer Institute Smokefree.gov website.

MEASUREMENTS

PRIMARY OUTCOME: Biochemically verified 7-day abstinence over 12 months.

SECONDARY OUTCOMES

Post-treatment (3-month) abstinence; reported abstinence, quit attempt, reduction in smoking, readiness to quit smoking over 12 months.

FINDINGS

Verified 7-day abstinence was not significantly different for intervention compared with control over 1 year: month 3 (8.3 versus 3.2%), 6 (6.2 versus 6.0%), and 12 (5.9 versus 10.0%); odds ratio (OR) = 1.07; 95% confidence interval (CI) = 0.23, 4.97; retention = 71%. There was an effect at 3 months (OR = 2.52; CI = 1.56, 4.04; P < 0.0001). There were no 12-month treatment effects for reported abstinence (P = 0.746), reduction in smoking by 50% or more (P = 0.533), likelihood of having made a quit attempt (P = 0.387) or stage of change over time (0.968). Participants in TSP engaged more and rated the intervention more favorably than those in the control condition.

CONCLUSIONS

Compared with referral to a smoking cessation website, a novel USA-focused Facebook smoking cessation intervention did not improve abstinence from smoking over 1 year, but increased abstinence at the end of treatment and was engaging to participants.

Acceptability and compliance with a remote monitoring system to track smoking and abstinence among young smokers

BACKGROUND

Similar to adult smokers, quit attempts among younger smokers almost inevitably result in relapse. Unlike adults, less is known about the process of relapse in this younger age group. A technology-based remote monitoring system may allow for detailed and accurate characterization of smoking and abstinence and would help to improve cessation strategies.

OBJECTIVES

This study describes a mobile system that captures smoking using breath carbon monoxide (CO) and real-time self-reports of smoking behavior. Compliance, feasibility, acceptability, and accuracy of the system were measured during a quit attempt and subsequent monitoring period.

METHODS

The mobile application (My Mobile Monitor, M3) combined breath CO with ecological momentary assessment, delivered via smartphone. Participants (N = 16; 75% female) were daily smokers between the ages of 19 and 25, who used the app for 11 days during which they agreed to make a quit attempt. Acceptability, compliance, and abstinence were measured.

RESULTS

Participants averaged 22.3 ± 2.0 years old and smoked an average of 13.0 ± 6.1 cigarettes per day. Overall session compliance was 69% and during the quit attempt, 56% of participants abstained from smoking for at least 24 hours. Agreement between self-reported smoking compared to breath CO was generally high, when available for comparison, though underreporting of cigarettes was likely.

CONCLUSION

This study demonstrates feasibility of a remote monitoring app with younger smokers, though improvements to promote compliance are needed. Remote monitoring to detect smoking and abstinence represents a step forward in the improvement of cessation strategies, but user experience and personalization are vital.

Intergenerational pathways linking maternal early life adversity to offspring birthweight

Adverse birth outcomes can lead to problematic long-term outcomes for children, and are also known to transmit socioeconomic disadvantage across generations, thereby amplifying the importance of identifying their social determinants. However, the full set of factors causing adverse birth outcomes remains unknown. Drawing together theory describing intragenerational (life course) processes linking early life adversity to adult health, and intergenerational transmissions of inequality via birthweight, this study tests a chain of risk that originates within early adolescence, impacts young women's risky health behaviors in late adolescence/early adulthood and risky health behaviors during pregnancy, and ultimately decreases offspring's birthweight. We do so using structural equation models and prospective, population-level data on a racially and socioeconomically diverse cohort of young adults (National Longitudinal Study of Adolescent to Adult Health). Results (a) reveal four pathways that fully mediate the association between a young woman's family-of-origin socioeconomic status in adolescence and her offspring's birthweight, and (b) identify a trigger effect-a place in the chain of risk where prevention efforts could be targeted, thereby breaking the chain of risk leading to poor offspring health at birth for vulnerable individuals.

Does free or lower cost smoking cessation medication stimulate quitting? Findings from the International Tobacco Control (ITC) Netherlands and UK Surveys

OBJECTIVE

To investigate whether mentioning free or lower cost smoking cessation medication as a trigger for thinking about quitting is related to higher medication use, more quit attempts and quit success, and whether these associations are modified by education and income.

METHODS

Data were derived from the 2013 and 2014 surveys of the International Tobacco Control Netherlands (n=1164) and UK (n=768) cohort. Logistic regression analyses were used to assess associations between mentioning in 2013 that free/lower cost smoking cessation medication was a trigger for thinking about quitting smoking and the use of medication, quit attempts and smoking cessation in 2014.

RESULTS

37.0% of smokers in the UK and 24.9% of smokers in the Netherlands mentioned free/lower cost medication as a trigger for thinking about quitting. Smokers who mentioned this trigger were more likely to have used cessation medication during a quit attempt both in the UK (OR=4.19, p<0.001) and in the Netherlands (OR=2.14, p=0.033). The association between mentioning free/lower cost medication as a trigger for thinking about quitting and actual quit attempts was significant in the UK (OR=1.45, p=0.030), but not in the Netherlands (OR=1.10, p=0.587). There was no significant association with quit success. Associations did not differ across income and education groups.

CONCLUSION

Free/lower cost smoking cessation medication may increase the use of cessation medication and stimulate quit attempts among smokers with low, moderate and high education and income.

Reasons for quitting smoking in young adult cigarette smokers

BACKGROUND

Although most young adult smokers want to quit smoking, few can do so successfully. Increased understanding of reasons to quit in this age group could help tailor interventions, but few studies document reasons to quit in young adults or examine reasons to quit by smoker characteristics.

METHODS

In 2011-12, 311 current smokers (age 22-28, M=24.1; 48.9% male, 51.1% female; 50.4% daily smokers) from the Nicotine Dependence in Teens Study completed the Adolescent Reasons for Quitting scale. We assessed differences in the importance of 15 reasons to quit by sex, education, smoking frequency, quit attempt in the past year, perceived difficulty in quitting, and motivation to quit. We also examined differences between participants who discounted the importance of long-term health risks and those who acknowledged such risks.

RESULTS

Concerns about getting sick or still smoking when older were considered very important by >70% of participants. Median scores were higher among daily smokers, those who had tried to quit or who expressed difficulty quitting, and those with strong motivation to quit. Discounters (14.5% of participants) were primarily nondaily, low-consumption smokers. Their Fagerström Test for Nicotine Dependence scores did not differ from non-discounters', and 11% (vs. 35.7% of non-discounters) were ICD-10 tobacco dependent.

CONCLUSIONS

Novel smoking cessation interventions are needed to help young adult smokers quit by capitalizing on their health concerns. Discounters may need educational intervention to better understand the impact of even "light" smoking on their health before or in conjunction with quit interventions.

Smoking in Italy 2007, with a Focus on the Young

Aims and Background

Although smoking has been on the decline in Italy, its prevalence is still high among younger individuals. We analyzed data from the 2007 tobacco survey and present the findings on smoking prevalence by selected characteristics, with a particular focus on the young.

Methods

The data were collected from 3,057 Italians aged 15 years and older in March and April 2007 who were randomly selected to be representative of the general Italian population. The prevalence of self-reported current smoking was estimated overall and by age group, education, geographic region, and gender. Additionally, intentions to quit and trends in smoking in the total population and among individuals aged 15–24 years were estimated.

Results

The smoking prevalence overall was 23.5% (27.9% among males and 19.3% among females), with higher estimates among adults living in central regions and among men with a lower educational level. Among individuals aged 15–24 years, since 2001 the male prevalence has fluctuated between 30% and 35% and the female prevalence between 20% and 25%. Overall, the prevalence decreased by approximately 40% in this age group. A small percentage (3.3%) reported having intention to quit smoking in the next 6 months.

Conclusions

The smoking prevalence is the lowest estimate reported since 1957, and the gap between men and women has diminished. Compared to earlier birth cohorts, the lower current estimate among younger adults suggests that the rates will decrease in the future.

Barriers to Quitting Smoking Among Young Adults: The Role of Socioeconomic Status

PURPOSE

The aims of this analysis were to explore how self-reported barriers to quitting vary by socioeconomic status (SES) among young-adult smokers and to assess their relationship to quitting.

DESIGN

This analysis uses 2 waves of telephone-survey data from the Minnesota Adolescent Community Cohort study.

SETTING

Midwestern United States.

PARTICIPANTS

Participants (n = 419) were smokers aged 17 to 24 years.

MEASURES

Socioeconomic status was estimated using the highest level of education completed by the participants' parents. Demographics, smoking behavior, and perceived barriers to quitting were collected via survey questions.

ANALYSIS

Differences in barriers by SES were assessed using prevalence ratios (PRs). Relative risks were calculated to assess the association between barriers and quitting status 1 year later, testing for effect modification by SES.

RESULTS

Compared to the high SES group (n = 314), the low SES group (n = 105) was more likely to report several barriers to quitting; however, only the risk of gaining weight was significantly more common (PR: 1.38 [1.05-1.83]). There were no significant associations between barriers and quitting status 1 year later, but the number of cigarettes per day was consistently related to the likelihood of quitting 1 year later, regardless of SES.

CONCLUSION

Despite the limited generalizability to racially diverse populations and different geographic locations, the results suggest perceived barriers may not differ by SES or predict quitting among young adults; however, nicotine dependence may play an important role.

Do social characteristics influence smoking uptake and cessation during young adulthood?

OBJECTIVES

This study uses a Bourdieusian approach to assess young adults' resources and examines their association with smoking initiation and cessation.

METHODS

Data were drawn from 1450 young adults participating in the Interdisciplinary Study of Inequalities in Smoking, a cohort study in Montreal, Canada. We used logistic regression models to examine the association between young adults' income, education, and peer smoking at baseline and smoking onset and cessation.

RESULTS

Young adults where most or all of their friends smoked had greater odds of smoking onset. Young adults that had completed pre-university postsecondary education also had higher odds of smoking onset after controlling for social support, employment status, and lacking money to pay for expenses. Income and the sociodemographic variables age and sex were not associated with smoking onset. Young adults where half of their friends smoked or where most to all of their friends smoked had lowers odds of smoking cessation. Men were more likely to cease smoking than women. Education, income and age were not associated with cessation.

CONCLUSIONS

Interventions focusing on peer smoking may present promising avenues for tobacco prevention in young adults.

A Community-Based "Street Team" Tobacco Cessation Intervention by and for Youth and Young Adults

Most tobacco users initiate use as youth or young adults. To promote tobacco cessation for this group and encourage non-users' engagement in tobacco control efforts, a community-based organization developed a "Street Team" brief outreach intervention that enlisted youth and young adults to encourage their peers to stop tobacco use through a brief intervention. Street Team members provided education, a Quit Kit, and referrals to cessation resources at a total of 27 community events over a four-year period. Tobacco users (n = 279) completed assessments of tobacco use, quit intention, and quit self-efficacy at baseline. Self-reports of cessation outcomes including past week abstinence were assessed 1-, 3-, and 6-months post-intervention. Perceptions of the intervention were gathered from Street Team members (n = 28) and intervention participants post-intervention. T-tests and χ²-tests were used to compare those who completed at least one follow-up assessment to those lost to follow-up. Time effects were analyzed using fixed effect models. Missing = using analyses indicate 16.1, 18.6, and 12.5% 7-day quit rate at 1-, 3-, and 6-months follow-up. Feedback from intervention participants indicate the intervention was acceptable and that discussions with Street Team members and provision of quit kits motivated tobacco users to consider quitting. All Street Team members responded positively to their participation in the intervention. This Street Team approach for youth and young adults is promising as an effective approach to the promotion of tobacco cessation among users and engagement and empowerment in tobacco control efforts among non-users.

Treatment barriers among younger and older socioeconomically disadvantaged smokers

OBJECTIVES

Underutilization of smoking cessation treatments contributes to high rates of smoking in socioeconomically disadvantaged populations. Guided by a conceptual framework, the present study explored how healthcare provider factors, social environment characteristics, and cessation beliefs influence treatment utilization among low-income smokers and whether these associations vary by age.

STUDY DESIGN

Analyses were conducted on baseline data from 2406 participants enrolled in a randomized controlled trial that evaluated the effectiveness of a proactive outreach cessation intervention among a sample of younger (18-34 years) and older (35-64 years) smokers enrolled in public healthcare assistance programs.

METHODS

Multivariable logistic regression models predicted past year cessation treatment utilization (CTU) among younger and older smokers. Independent variables included measures of healthcare provider barriers, social environment characteristics, and cessation beliefs.

RESULTS

Younger smokers were less likely to have CTU than older smokers (27.2% vs 36.2%; P <.001). In both groups, number of cigarettes per day, more problems accessing healthcare, receiving medication-related cessation advice, and readiness to quit were positively associated with CTU (P <.05). Among younger smokers, living with another smoker was associated with lower odds of CTU while receipt of cessation advice was associated (P = .033) with higher odds of CTU.

CONCLUSIONS

In this sample of low-income smokers, interest in quitting was high but treatment utilization was low. Increasing utilization of cessation treatments via interventions that target issues specific to low-income smokers, including healthcare provider access and advice, the home environment, and motivation to quit, is an important step toward reducing smoking rates in this population.

Feasibility and Acceptability of a Text Message-Based Smoking Cessation Program for Young Adults in Lima, Peru: Pilot Study

Background

In Peru’s urban communities, tobacco smoking generally starts during adolescence and smoking prevalence is highest among young adults. Each year, many attempt to quit, but access to smoking cessation programs is limited. Evidence-based text messaging smoking cessation programs are an alternative that has been successfully implemented in high-income countries, but not yet in middle- and low-income countries with limited tobacco control policies.

Objective

The objective was to assess the feasibility and acceptability of an short message service (SMS) text message-based cognitive behavioral smoking cessation program for young adults in Lima, Peru.

Methods

Recruitment included using flyers and social media ads to direct young adults interested in quitting smoking to a website where interested participants completed a Google Drive survey. Inclusion criteria were being between ages 18 and 25 years, smoking at least four cigarettes per day at least 6 days per week, willing to quit in the next 30 days, owning a mobile phone, using SMS text messaging at least once in past year, and residing in Lima. Participants joined one of three phases: (1) focus groups and in-depth interviews whose feedback was used to develop the SMS text messages, (2) validating the SMS text messages, and (3) a pilot of the SMS text message-based smoking cessation program to test its feasibility and acceptability among young adults in Lima. The outcome measures included adherence to the SMS text message-based program, acceptability of content, and smoking abstinence self-report on days 2, 7, and 30 after quitting.

Results

Of 639 participants who completed initial online surveys, 42 met the inclusion criteria and 35 agreed to participate (focus groups and interviews: n=12; validate SMS text messages: n=8; program pilot: n=15). Common quit practices and beliefs emerged from participants in the focus groups and interviews informed the content, tone, and delivery schedule of the messages used in the SMS text message smoking cessation program. A small randomized controlled pilot trial was performed to test the program’s feasibility and acceptability; nine smokers were assigned to the SMS text message smoking cessation program and six to a SMS text message nutrition program. Participant retention was high: 93% (14/15) remained until day 30 after quit day. In all, 56% of participants (5/9) in the SMS text message smoking cessation program reported remaining smoke-free until day 30 after quit day and 17% of participants (1/6) in the SMS text message nutrition program reported remaining smoke-free during the entire program. The 14 participants who completed the pilot reported that they received valuable health information and approved the delivery schedule of the SMS text messages.

Conclusions

This study provides initial evidence that a SMS text message smoking cessation program is feasible and acceptable for young adults residing in Lima.

Utilization of smoking cessation medication benefits among medicaid fee-for-service enrollees 1999-2008

Objective

To assess state coverage and utilization of Medicaid smoking cessation medication benefits among fee-for-service enrollees who smoked cigarettes.

Methods

We used the linked National Health Interview Survey (survey years 1995, 1997–2005) and the Medicaid Analytic eXtract files (1999–2008) to assess utilization of smoking cessation medication benefits among 5,982 cigarette smokers aged 18–64 years enrolled in Medicaid fee-for-service whose state Medicaid insurance covered at least one cessation medication. We excluded visits during pregnancy, and those covered by managed care or under dual enrollment (Medicaid and Medicare). Multivariate logistic regression was used to determine correlates of cessation medication benefit utilization among Medicaid fee-for-service enrollees, including measures of drug coverage (comprehensive cessation medication coverage, number of medications in state benefit, varenicline coverage), individual-level demographics at NHIS interview, age at Medicaid enrollment, and state-level cigarette excise taxes, statewide smoke-free laws, and per-capita tobacco control funding.

Results

In 1999, the percent of smokers with ≥1 medication claims was 5.7% in the 30 states that covered at least one Food and Drug Administration (FDA)-approved cessation medication; this increased to 9.9% in 2008 in the 44 states that covered at least one FDA-approved medication (p<0.01). Cessation medication utilization was greater among older individuals (≥ 25 years), females, non-Hispanic whites, and those with higher educational attainment. Comprehensive coverage, the number of smoking cessation medications covered and varenicline coverage were all positively associated with utilization; cigarette excise tax and per-capita tobacco control funding were also positively associated with utilization.

Conclusions

Utilization of medication benefits among fee-for-service Medicaid enrollees increased from 1999–2008 and varied by individual and state-level characteristics. Given that the Affordable Care Act bars state Medicaid programs from excluding any FDA-approved cessation medications from coverage as of January 2014, monitoring Medicaid cessation medication claims may be beneficial for informing efforts to increase utilization and maximize smoking cessation.

Cessation Strategies Young Adult Smokers Use After Participating in a Facebook Intervention

BACKGROUND

Young adults underutilize current evidence-based smoking cessation strategies; yet social media are widely used and accepted among this population. A better understanding of whether and how young adults try to quit smoking in the context of a social media smoking cessation intervention could inform future intervention improvements.

OBJECTIVES

We examined frequency, strategies used, and predictors of self-initiated 24-hour quit attempts among young adults participating in a Facebook intervention.

METHODS

A total of 79 young adult smokers (mean age = 20.8; 20.3% female) were recruited on Facebook for a feasibility trial. Participants joined motivationally tailored private Facebook groups and received daily posts over 12 weeks. Assessments were completed at baseline, 3-, 6-, and 12-month follow-up.

RESULTS

In 12 months, 52 participants (65.5%) completed 215 quit attempts (mean = 4.1; median = 4; range 1-14); 75.4% of attempts were undertaken with the Facebook intervention alone, 17.7% used an electronic cigarette (e-cigarette), 7.4% used nicotine replacement therapy (NRT), and 3.7% used additional professional advice. Non-daily smokers, those who smoked fewer cigarettes, and those in an advanced stage of change at baseline were more likely to make a quit attempt. E-cigarette use to aide a quit attempt during the study period was associated with reporting a past year quit attempt at baseline. No baseline characteristics predicted NRT use.

CONCLUSIONS

After participating in a Facebook smoking cessation intervention, young adults predominantly tried to quit without additional assistance. E-cigarettes are used more frequently as cessation aid than NRT. The use of evidence-based smoking cessation strategies should be improved in this population.

A Pilot Study of Retail 'Vape Shops' in the San Francisco Bay Area

INTRODUCTION

The use of electronic cigarettes or vape devices is increasing, and products are evolving rapidly. This study assessed retail vape shops in the San Francisco Bay Area to describe store characteristics, products offered, advertisements and health claims, as well as employees’ perceptions of their customers’ demographics, and practices to support smoking cessation.

METHODS

We conducted store audits of shops that exclusively sell vape devices with physical addresses in San Francisco and Alameda counties (n=23, response rate 72%) and interviewed vape shop owners/employees.

RESULTS

While all stores carried second and third generation vape devices, 83% of stores did not carry first generation devices. Employees estimated the majority of their customers bought devices for smoking cessation or to replace tobacco, and a small minority purchased for first-time recreational use. Employees most frequently recommended dosing nicotine based on usual cigarette consumption, adjusting doses based on “throat hit” or cravings, use of a second or third generation e-cigarette, and encouraged customers to experiment and customize to “whatever works for you” as smoking cessation advice.

CONCLUSIONS

Vape shops report a significant number of their customers are interested in smoking cessation, and employees are giving smoking cessation advice. A subpopulation of customers includes some nicotine novices. Studies of vape shops should include both observations and interviews with employees in order to detect important informal practices that may differ from posted signs or printed advertising. These practices include cessation counseling, product claims, and custom discount prices or bargaining.

Young Adult Utilization of a Smoking Cessation Website: An Observational Study Comparing Young and Older Adult Patterns of Use

Background

There is little research on how young adults or young adult subgroups utilize and engage with Web-based cessation interventions when trying to quit smoking. Addressing this knowledge gap is important to identify opportunities to optimize the effectiveness of online cessation programs across diverse young adult users.

Objective

This study examines utilization of the BecomeAnEX.org smoking cessation website among young adults and young adult subgroups compared with older adults to identify patterns of use by age, gender, and race/ethnicity.

Methods

Study participants were 5983 new registered users on a free smoking cessation website who were aged 18 to 70 years. Website utilization was tracked for 6 months; metrics of use included website visits, pages per visit, length of visit, and interaction with specific website features. Differences in website use by age were examined via bivariate analyses and multivariate logistic regression adjusted for age, gender, and race/ethnicity. Interactions were examined to determine differences by gender and race/ethnicity within young (18- to 24-year-olds and 25- to 34-year-olds) and older (35 years and older) adult segments.

Results

A greater percentage of young adults aged 18 to 34 years visited the site only once compared with older adults aged 35 years and older (72.05% vs 56.59%, respectively; P<.001). Young adults also spent less time on the site and viewed fewer pages than older adults. In adjusted analyses, young adults were significantly less likely than older adults to visit the site more than once (18-24 years: adjusted odds ratio [AOR] 0.58, 95% CI 0.49-0.68, P<.001; 25-34 years: AOR 0.56, 95% CI 0.50-0.64, P<.001), spend more than 3 minutes on the site (18-24 years: AOR 0.67, 95% CI 0.57-0.79, P<.001; 25-34 years: AOR 0.56, 95% CI 0.49-0.64, P<.001), view 12 or more pages (18-24 years: AOR 0.72, 95% CI 0.61-0.83; P<.001; 25-34 years: AOR 0.67, 95% CI 0.59-0.76, P<.001), utilize the BecomeAnEX.org community (18-24 years: AOR 0.61, 95% CI 0.48-0.79, P<.001; 25-34 years: AOR 0.73, 95% CI 0.60-0.88, P<.001), or utilize Separation Exercises (18-24 years: AOR 0.68, 95% CI 0.51-0.89, P<.01; 25-34 years: AOR 0.77, 95% CI 0.63-0.94, P<.01). Gender differences in utilization were more pronounced among young adults compared with older adults, with lower levels of utilization among young men than young women. For all age groups, utilization was higher among whites and African Americans than among Hispanics and other racial minorities, with one exception—BecomeAnEX.org community utilization was significantly higher among Hispanic young adults compared with white and African American young adults.

Conclusions

Results point to important areas of inquiry for future research and development efforts. Research should focus on enhancing demand and increasing engagement among younger adults and men, examining strategies for capitalizing on young adult developmental needs, and increasing utilization of effective site features among diverse young adult users.