Association between self-reported motivation to quit smoking with effectiveness of smoking cessation intervention among patients hospitalized for acute coronary syndromes in Switzerland.
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SUBMITTER: Worni-Schudel I
PROVIDER: S-EPMC8683949 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:IntroductionMost people who smoke cigarettes are not willing (ie, not ready) to make a quit attempt (QA) at any given time. Unfortunately, interventions intended to increase QAs and the success of QAs are only modestly effective. Identifying processes leading to QAs and quitting success could guide intervention development.Aims and methodsThis is a secondary analysis of a randomized factorial trial of 6 weeks of motivation-phase interventions among primary care patients (N = 517) who were initially unwilling to quit but were willing to reduce their smoking. Using logistic regression, we controlled for treatment condition and tested whether baseline or change in smoking-related constructs after 6 weeks of treatment predicted (1) making an at least 24 h QA between weeks 6 and 26 and (2) quitting success at week 26 (7-day point-prevalence abstinence among those who made a QA). Predictors included cigarettes/day, time to first cigarette, motivation to quit, quitting self-efficacy, anticipated urges to smoke if quit, positive affect, negative affect, and time spent around others who smoke.ResultsIn multivariable models that included all smoking-related constructs, changes in the following variables predicted initiating a QA above and beyond other variables: greater baseline time to first cigarette (odds ratio [OR] = 1.60), increases in time to first cigarette (OR = 1.27), and increases in quitting self-efficacy (OR = 1.14). Increased motivation to quit predicted conversion of a QA into quitting success at 26 weeks (OR = 1.36).ConclusionPredictors of making a QA differed from predictors of quitting success. Predictors of QAs and success could each serve as important treatment targets of motivation-phase interventions.ImplicationsMotivation-phase interventions for people initially unwilling to quit smoking cigarettes may be improved by striving to increase their (1) time to first cigarette and quitting self-efficacy to promote QAs and (2) motivation to quit to promote quit success. Future experimental tests of such interventions are needed to identify causal determinants of QAs and quitting success.
| S-EPMC7443596 | biostudies-literature
Project description:This study examined the prevalence of non-smoking norms in England and their associations with motivation to stop smoking, quit attempts, and cessation. Data were from a representative cross-sectional survey of 1,521 adults (301 combustible tobacco smokers). Descriptive non-smoking norms were endorsed, with just 16% of adults (12% of smokers) believing smoking was uncommon. Injunctive non-smoking norms were more prevalent, with 60-77% of adults (17-48% of smokers) viewing smoking as something of which others disapproved. Personal non-smoking norms were also prevalent among all adults (73% indicated they would prefer to live with a non-smoker) but not smokers (69% had no preference). Smokers who endorsed stronger descriptive non-smoking norms had increased odds of reporting high motivation to stop smoking (ORadj?=?1.63, 95%CI 1.06-2.52). Female (but not male) past-year smokers who endorsed stronger injunctive (ORadj?=?2.19, 95%CI 1.41-3.42) and personal (ORadj?=?1.90, 95%CI 1.29-2.82) non-smoking norms had increased odds of having made a past-year quit attempt. In conclusion, perceived descriptive non-smoking norms are not held by the majority of adults in England. Injunctive and personal non-smoking norms are prevalent among all adults but lower among smokers. There is some evidence that smokers - in particular, women - who endorse stronger non-smoking norms are more likely to be motivated to stop smoking and to make a quit attempt.
| S-EPMC7320183 | biostudies-literature
Project description:BACKGROUND:China has the highest global prevalence of cigarette smokers, accounting for more than 40% of the total cigarette consumption in the world. Considering the shortage of smoking cessation services in China, and the acceptability, feasibility, and efficacy of mobile-phone-based text messaging interventions for quitting smoking in other countries, we conducted a mobile-phone-based smoking cessation study in China. METHODS AND FINDINGS:We conducted a randomized controlled trial in China across 30 cities and provinces from August 17, 2016, to May 27, 2017. Adult smokers aged 18 years and older with the intention to quit smoking were recruited and randomized to a 12-week high-frequency messaging (HFM) or low-frequency messaging (LFM) intervention ("Happy Quit") or to a control group in a 5:2:3 ratio. The control group received only text messages unrelated to quitting. The primary outcome was biochemically verified continuous smoking abstinence at 24 weeks. Secondary outcomes included (1) self-reported 7-day point prevalence of abstinence (i.e., not even a puff of smoke, for the last 7 days) at 1, 4, 8, 12, 16, 20, and 24 weeks; (2) self-reported continuous abstinence at 4, 12, and 24 weeks; and (3) self-reported average number of cigarettes smoked per day. A total of 1,369 participants received 12 weeks of intervention or control text messages with continued follow-up for 12 weeks. The baseline characteristics of participants among the HFM (n = 674), LFM (n = 284), and control (n = 411) groups were similar. The study sample included 1,295 (94.6%) men; participants had a mean age of 38.1 (SD 9.79) years and smoked an average of 20.1 (SD 9.19) cigarettes per day. We included the participants in an intention-to-treat analysis. Biochemically verified continuous smoking abstinence at 24 weeks occurred in 44/674 participants in the HFM group (6.5%), 17/284 participants in the LFM group (6.0%), and 8/411 participants (1.9%) in the control group; participants in both the HFM (odds ratio [OR] = 3.51, 95% CI 1.64-7.55, p < 0.001) and the LFM (OR = 3.21, 95% CI 1.36-7.54], p = 0.002) intervention groups were more likely to quit smoking than those in the control group. However, there was no difference in quit rate between the HFM and LFM interventions. We also found that the 7-day point quit rate from week 1 to week 24 ranged from approximately 10% to more than 26% with the intervention and from less than 4% to nearly 12% without the intervention. Those who continued as smokers in the HFM group smoked 1 to 3 fewer cigarettes per day than those in the LFM group over the 24 weeks of trial. Among study limitations, the participants were able to use other smoking cessation services (although very few participants reported using them), cotinine tests can only detect smoking status for a few days, and the proportion of quitters was small. CONCLUSIONS:Our findings demonstrate that a mobile-phone-based text messaging intervention (Happy Quit), with either high- or low-frequency messaging, led to smoking cessation in the present study, albeit in a low proportion of smokers, and can therefore be considered for use in large-scale intervention efforts in China. Mobile-phone-based interventions could be paired with other smoking cessation services for treatment-seeking smokers in China. TRIAL REGISTRATION:ClinicalTrials.gov NCT02693626.
| S-EPMC6298640 | biostudies-literature
Project description:CONTEXT:To provide a systematic review and cost-effectiveness analysis on smoking interventions targeting smokers not ready to quit, a population that makes up approximately 32% of current smokers. EVIDENCE ACQUISITION:Twenty-two studies on pharmacological, behavioral, and combination smoking-cessation interventions targeting smokers not ready to quit (defined as those who reported they were not ready to quit at the time of the study) published between 2000 and 2017 were analyzed. The effectiveness (measured by the number needed to treat) and cost effectiveness (measured by costs per quit) of interventions were calculated. All data collection and analyses were performed in 2017. EVIDENCE SYNTHESIS:Smoking interventions targeting smokers not ready to quit can be as effective as similar interventions for smokers ready to quit; however, costs of intervening on this group may be higher for some intervention types. The most cost-effective interventions identified for this group were those using varenicline and those using behavioral interventions. CONCLUSIONS:Updating clinical recommendations to provide cessation interventions for this group is recommended. Further research on development of cost-effective treatments and effective strategies for recruitment and outreach for this group are needed. Additional studies may allow for more nuanced comparisons of treatment types among this group.
| S-EPMC6055474 | biostudies-literature
Project description:We examined participant characteristics as moderators of adolescents' smoking cessation outcomes as a function of intervention: Not-on-Tobacco (N-O-T), N-O-T with a physical activity (PA) module (N-O-T+FIT), or Brief Intervention (BI).We randomly assigned youth (N = 232) recruited from public high schools to an intervention, and measured their baseline levels of PA and motivation to quit. The number of cigarettes/day for weekdays and weekends was obtained at baseline and 3-month follow-up.Across timepoints, cigarette use declined for youth in N-O-T (p = .007) and N-O-T+FIT (ps < .02), but not BI (n.s.). For N-O-T+FIT youth, the steepest declines in weekday smoking occurred for those with high PA levels (p = .02). Weekend cigarette use decreased for N-O-T+FIT youth with moderate-high levels of intrinsic motivation to quit (ps < .04).Adolescents may benefit from interventions designed to address the barriers faced during a quit attempt, including their motivation to make a change and their engagement in other healthy behaviors such as physical activity.
| S-EPMC5546298 | biostudies-literature
Project description:Setting a target quit date (TQD) is often an important component in smoking cessation treatment, but ambiguity remains concerning the optimal timing (ie, quitting spontaneously versus delaying to prepare).We examined four questions about the timing of TQDs and smoking outcomes in secondary analyses of The iQUITT Study, a randomized trial of Internet and telephone treatment for cessation: (1) What are the characteristics of TQDs set using an online interactive quit date tool?, (2) What are the characteristics of individuals who use a quit date tool and do they differ from those who do not?, (3) Are there differences in smoker characteristics, treatment utilization, and cessation outcomes based TQD timing?, and (4) Is maintenance of an initial TQD predictive of abstinence or do changes to TQDs lead to cessation?A total of 825 adult current cigarette smokers were randomized to enhanced Internet or enhanced Internet plus telephone counseling. Latency to TQD in days was calculated as the date difference between the initial TQD and enhanced Internet registration; prospective TQD setters were stratified into four latency groups (0, 1-14, 15-28, 29+ days). Baseline variables, website utilization, and 3-month cessation outcomes were examined between prospective TQD groups. Desire and confidence to quit, number of TQDs, and website logins were tested as predictors of 30-day point prevalence abstinence (ppa) at 3 months (responder-only analyses). Classification and regression tree (CART) analysis explored interactions among baseline variables, website utilization, and latency to TQD as predictors of 30-day ppa.There were few baseline differences between individuals who used the quit date tool and those who did not. Prospective TQDs were set as follows: registration day was 17.1% (73/427), 1-14 days was 37.7% (161/427), 15-28 days was 18.5% (79/427), and 29+ days was 26.7% (114/427). Participants with a TQD within 2 weeks had higher baseline self-efficacy scores but did not differ on smoking variables. Individuals whose TQD was the same day as registration had the highest logins, page views, number of TQDs set using the tool, and messages sent to other members. Logistic regression revealed a significant interaction between number of TQDs and website logins for 30-day ppa (P=.005). Among those with high logins, 41.8% (33/79) with 1 TQD were abstinent versus 25.9% (35/135) with 2+TQDs. Logins and self-efficacy predicted 30-day ppa in the CART model.TQD timing did not predict cessation outcomes in standard or exploratory analyses. Self-efficacy and an apparent commitment to an initial TQD were the components most highly related to abstinence but only via interactions with website utilization. Findings highlight the importance of feeling efficacious about handling specific smoking situations and engaging with treatment. Additional research focused on increasing engagement in Web-based cessation studies is needed.ClinicalTrials.gov: NCT00282009; http://clinicaltrials.gov/show/NCT00282009 (Archived by WebCite at http://www.webcitation.org/6Kt7NrXDl).
| S-EPMC3958692 | biostudies-literature
Project description:Smoking is the most preventable cause of death, thus justifying efforts to effectively motivate quitting. We compared the effectiveness of financial versus health messages to motivate smoking cessation. Low-income individuals disproportionately smoke and, given their greater income constraints, we hypothesized that making financial costs of smoking more salient would encourage more smokers to try quitting. Further, we predicted that financial messages would be stronger in financial settings where pecuniary constraints are most salient.We conducted a field study in low-income areas of New Haven, Connecticut using brochures with separate health vs. financial messages to motivate smoking cessation. Displays were rotated among community settings-check-cashing, health clinics, and grocery stores. We randomized brochure displays with gain-framed cessation messages across locations.Our predictions were confirmed. Financial messages attracted significantly more attention than health messages, especially in financial settings.These findings suggest that greater emphasis on the financial gains to quitting and use of financial settings to provide cessation messages may be more effective in motivating quitting. Importantly, use of financial settings could open new, non-medical venues for encouraging cessation. Encouraging quitting could improve health, enhance spending power of low-income smokers, and reduce health disparities in both health and purchasing power.
| S-EPMC4869074 | biostudies-literature
Project description:IntroductionThe aim of this study was to explore the utility of measuring motivation to quit smoking as a predictor of abstinence maintenance among smokers who wanted to quit and who were included in a multicenter study conducted in daily clinical practice.MethodsThis observational, longitudinal (prospective cohort), multicenter study was conducted in smoking clinics in Spain and the Argentine Republic in daily clinical practice. Motivation was assessed using three quantitative motivation tests and a Visual Analogue Scale. Statistical analysis included descriptive, association measures and logistic regression models.ResultsOf a total of 404 subjects, 273 were ultimately included for analysis (147 women; 53.8%), mean age 51±11 years). In one year, 53.5% (36.13% by intention to treat) of subjects (146) were successful in quitting smoking [men: 45.2% (66) and women: 54.8% (80)], with no differences between sexes. None of the scales utilized was associated, in an unquestionable or direct way, with long-term abstinence, although three of them, in a very complex model, with additional variables and added interactions, were associated with the 'result' variable, when other variables intervened in certain circumstances.ConclusionsNone of the analyzed motivational scales alone demonstrated an association with success or failure in quitting smoking; thus, their use in isolation is of no value. Some of the scales analyzed might be related to the maintenance of abstinence but in complex models where other variables intervene, which makes interpretation considerably difficult. Therefore, the predictive capacity of the tests analyzed, based on the models, was low.
| S-EPMC8240875 | biostudies-literature
Project description:IntroductionDual-smoker couples are a highly prevalent group who report low motivation to quit smoking.AimsThis study tested the effect of a messaging intervention (couples- vs. individual-focused smoking outcomes) on motivation to quit among dual-smoker couples and examined the moderating effect of perceived support.MethodsA total of 202 individuals in 101 dual-smoker couples were randomized by dyad using a 2 (frame: gain/loss) by 2 (outcome focus: individual/couple) factorial design. Participants reviewed scenarios of either positive or negative outcomes of quitting versus not quitting as they applied to either the individual or the couple. Participants then reported their own motivation to quit and motivation for their partner to quit. The main outcome was motivation to quit smoking.ResultsNo main effects of framing or message focus emerged. Significant interactions between message focus and negative support predicted motivation for self and partner to quit. Individuals who reported lower negative support reported greater motivation for self to quit and less motivation for partner to quit after reviewing couple- (vs. individual-) focused messages.ConclusionsIndividuals in dual-smoker couples typically report low motivation to quit smoking. Couple-focused messages may increase motivation to quit among individuals who are not receiving negative support from their partners.
| S-EPMC6561728 | biostudies-literature
Project description:BackgroundCigarette smoking is a risk factor for severe COVID-19 disease. Understanding smokers' responses to the pandemic will help assess its public health impact and inform future public health and provider messages to smokers.ObjectiveTo assess risk perceptions and change in tobacco use among current and former smokers during the COVID-19 pandemic.DesignCross-sectional survey conducted in May-July 2020 (55% response rate) PARTICIPANTS: 694 current and former daily smokers (mean age 53, 40% male, 78% white) who had been hospitalized pre-COVID-19 and enrolled into a smoking cessation clinical trial at hospitals in Massachusetts, Pennsylvania, and Tennessee.Main measuresPerceived risk of COVID-19 due to tobacco use; changes in tobacco consumption and interest in quitting tobacco use; self-reported quitting and relapse since January 2020.Key results68% (95% CI, 65-72%) of respondents believed that smoking increases the risk of contracting COVID-19 or having a more severe case. In adjusted analyses, perceived risk was higher in Massachusetts where COVID-19 had already surged than in Pennsylvania and Tennessee which were pre-surge during survey administration (AOR 1.56, 95% CI, 1.07-2.28). Higher perceived COVID-19 risk was associated with increased interest in quitting smoking (AOR 1.72, 95% CI 1.01-2.92). During the pandemic, 32% (95% CI, 27-37%) of smokers increased, 37% (95% CI, 33-42%) decreased, and 31% (95% CI, 26-35%) did not change their cigarette consumption. Increased smoking was associated with higher perceived stress (AOR 1.49, 95% CI 1.16-1.91). Overall, 11% (95% CI, 8-14%) of respondents who smoked in January 2020 (pre-COVID-19) had quit smoking at survey (mean, 6 months later) while 28% (95% CI, 22-34%) of former smokers relapsed. Higher perceived COVID-19 risk was associated with higher odds of quitting and lower odds of relapse.ConclusionsMost smokers believed that smoking increased COVID-19 risk. Smokers' responses to the pandemic varied, with increased smoking related to stress and increased quitting associated with perceived COVID-19 vulnerability.
| S-EPMC8183588 | biostudies-literature