Self-related neural response to tailored smoking-cessation messages predicts quitting.
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ABSTRACT:
SUBMITTER: Chua HF
PROVIDER: S-EPMC3109081 | biostudies-literature | 2011 Apr
REPOSITORIES: biostudies-literature
Publications
Self-related neural response to tailored smoking-cessation messages predicts quitting.
Chua Hannah Faye HF Ho S Shaun SS Jasinska Agnes J AJ Polk Thad A TA Welsh Robert C RC Liberzon Israel I Strecher Victor J VJ
Nature neuroscience 20110227 4
Tailored health interventions can be more effective in eliciting positive behavior change than generic interventions, but the underlying neural mechanisms are not yet understood. Here, 91 smokers participated in a functional magnetic resonance imaging session and a tailored smoking-cessation program. We found that increases in activation in self-related processing regions, particularly dorsomedial prefrontal cortex, to tailored messages predicted quitting during a 4-month follow-up. ...[more]
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Project description:IntroductionHealth authorities are advising smokers to quit to reduce their COVID-related risk. The types of messages that may be effective in alerting smokers to this risk and encouraging a quit attempt are unknown. The aim of this study was to test a series of messages to identify potentially effective communication approaches.MethodsAn online survey was completed by 1509 smokers across three countries (Australia: n = 604; New Zealand: n = 304; United Kingdom: n = 601) in April-May 2020. Respondents were randomly assigned to view just one of four quit messages, two of which explicitly referred to the coronavirus, one referred to risk of chest infection, and one encouraged cessation for financial reasons. Outcome variables included quit intentions, further information seeking, message perceptions, and health and financial concerns.ResultsAll four messages were associated with significant differences in the proportions of respondents intending to quit within the following 2 wk (increase range: 11%-34%) and with substantial proportions of respondents electing to access additional information (range: 37%-50%). The differences in intentions were significantly larger for the two health-related messages that specifically mentioned the coronavirus. All messages were perceived favorably in terms of acceptability, believability, effectiveness, and personal relevance. Negligible differences in health and financial concerns were observed.ConclusionsSmokers in Australia, New Zealand, and the United Kingdom appear likely to be receptive to messages about their COVID-related risk. Such messages have the potential to increase quit intentions and prompt information-seeking behaviors.ImplicationsThe COVID-19 pandemic represents an opportunity to encourage smokers to quit to reduce both their COVID-related risks and their risks of a broad range of noncommunicable diseases.
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Project description:INTRODUCTION The number of cessation clinics in China have been increasing ever since the Chinese government supported the establishment of smoking cessation clinics (SCCs) in each province in 2014. Many studies have examined smoking cessation behaviors among male smokers, but few of female smokers. This study aimed to understand female smokers’ quitting behaviors in SCCs and identify predictors of successful cessation. METHODS This study used data of the SCCs Platform in China from 2018 to 2020. The self-reported 7-day point prevalence of abstinence rate (PPAR) at 1 month and at 3 months follow-up and the continuous abstinence rate (CAR) at 3 months follow-up are reported based on smokers’ characteristics and intention to treat analysis. A multiple logistic regression model was used to identify predictors of continuous abstinence at 3 months follow-up. RESULTS The 7-day PPAR of female outpatients in SCCs was 29.20% at 1 month follow-up and 28.36% at 3 months follow-up. The CAR at 3 months follow-up was 19.88%. Female smokers who were prepared to quit within 7 days (AOR=2.86; 95% CI: 1.53–5.32), today (AOR=4.01; 95% CI: 2.35–6.85), had started to quit (AOR=7.11; 95% CI: 4.12–12.27), and used a combination of counseling and drugs (AOR=2.41; 95% CI: 1.73–3.35) were more likely to quit smoking. Associated with lower quitting rates were: living in the central region of China (AOR=0.47; 95% CI: 0.31–0.73) and the west region (AOR=0.48; 95% CI: 0.31–0.73); being aged 30–39 years (AOR=0.39; 95% CI: 0.23–0.64), and 40–49 years (AOR=0.41; 95% CI:0.24–0.69); being unemployed (AOR=0.64; 95% CI: 0.45–0.91); having a fair perceived health status at the first visit (AOR=0.65; 95% CI: 0.47–0.91) and a poor one (AOR=0.37; 95% CI: 0.21–0.64); having a moderate nicotine dependence (AOR=0.64; 95% CI: 0.44–0.92) and a severe one (AOR=0.50; 95% CI: 0.34–0.72). CONCLUSIONS In our study, the region of residence, age, employment, perceived health status, Fagerström test for nicotine dependence (FTND), readiness to quit, and intervention model were independent predictors of quitting for female smokers. Improving the motivation to quit, providing intensive psychological interventions and equipping SCCs with cessation medication would assist female smokers to quit.
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Project description:BackgroundTailored, web-assisted interventions can reach many smokers. Content from other smokers (peers) through crowdsourcing could enhance relevance.PurposeTo evaluate whether peers can generate tailored messages encouraging other smokers to use a web-assisted tobacco intervention (Decide2Quit.org).MethodsPhase 1: In 2009, smokers wrote messages in response to scenarios for peer advice. These smoker-to-smoker (S2S) messages were coded to identify themes. Phase 2: resulting S2S messages, and comparison expert messages, were then e-mailed to newly registered smokers. In 2012, subsequent Decide2Quit.org visits following S2S or expert-written e-mails were compared.ResultsPhase 1: a total of 39 smokers produced 2886 messages (message themes: attitudes and expectations, improvements in quality of life, seeking help, and behavioral strategies). For not-ready-to-quit scenarios, S2S messages focused more on expectations around a quit attempt and how quitting would change an individual's quality of life. In contrast, for ready-to-quit scenarios, S2S messages focused on behavioral strategies for quitting. Phase 2: In multivariable analysis, S2S messages were more likely to generate a return visit (OR=2.03, 95% CI=1.74, 2.35), compared to expert messages. A significant effect modification of this association was found, by time-from-registration and message codes (both interaction terms p<0.01). In stratified analyses, S2S codes that were related more to "social" and "real-life" aspects of smoking were driving the main association of S2S and increased return visits.ConclusionsS2S peer messages that increased longitudinal engagement in a web-assisted tobacco intervention were successfully collected and delivered. S2S messages expanded beyond the biomedical model to enhance relevance of messages.Trial registrationThis study is registered at www.clinicaltrials.gov NCT00797628 (web-delivered provider intervention for tobacco control [QUIT-PRIMO]) and NCT01108432 (DPBRN Hygienists Internet Quality Improvement in Tobacco Cessation [HiQuit]).
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Project description:INTRODUCTION:The 10-item version of the Questionnaire of Smoking Urges (QSU-brief) has demonstrated excellent reliability. However, the QSU-brief may be too long to use in clinical settings. We developed a new craving index called the Tobacco Craving Index (TCI) and investigated how closely the TCI grade is associated with success of quitting smoking in Japanese smoking cessation therapy (SCT) patients. METHODS:The TCI questionnaire consists of two items: the first question asks about the strength of tobacco craving on a 4-point scale, and the second question asks about the frequency of tobacco craving per day on a 4-point scale. We conducted a prospective cohort study of 85 participants who underwent the Japanese SCT at a Japanese smoking cessation clinic. We administered the QSU-brief and TCI at each of the 5 sessions during the 12-week SCT. RESULTS:Significant correlations were observed between the TCI grade and QSU-brief score (r=0.27, 0.55, 0.72, 0.58 and 0.68, at the five sessions). The change in mean TCI grade showed a similar trend as the change in mean QSU-brief score among the 43 patients who succeeded in quitting smoking and also among the 7 patients who failed to quit smoking by the last session. Both TCI and QSU-brief assessed after the second session were significantly associated with the smoking status at the last session. The area under the receiver operating characteristic curve for the success of quitting smoking in TCI grade was 0.615-0.881 at the 5 sessions, whereas it was 0.536-0.849 in QSU-brief score. CONCLUSIONS:The TCI can be used as a predictive tool for success of quitting smoking in the Japanese SCT. As the TCI consists of two questionnaire items, it can be easily administered in smoking cessation interventions.
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Project description:IntroductionPharmacists are uniquely positioned within the community to provide smoking cessation counseling to their patients. However, pharmacists experience significant barriers to providing counseling, including limited time, reimbursement, and training in counseling techniques. We tested a computer-driven software system, "Exper_Quit" (EQ), that provided individually tailored interventions to patients who smoke and matching tailored reports for pharmacists to help guide cessation counseling.MethodsA two-phase design was used to recruit an observation-only group (OBS; n = 100), followed by participants (n = 200) randomly assigned to receive either EQ-assisted pharmacist counseling or EQ plus 8 weeks of nicotine transdermal patch (EQ+). Both treatment groups were scheduled to receive two follow-up counseling calls from pharmacists.ResultsMost participants in the EQ and EQ+ groups reported receiving counseling from a pharmacist, including follow-up calls, while none of the OBS participants reported speaking with the pharmacist about cessation. At 6 months, fewer OBS participants reported a quit attempt (42%) compared with EQ (76%) or EQ+ (65%) participants (p < .02). At 6 months, 7-day point-prevalence abstinence was 28% and 15% among the EQ+ and EQ groups, respectively, compared with 8% among OBS participants (p < .01), and EQ+ participants were twice as likely to be quit than were EQ participants (p < .01).DiscussionA tailored software system can facilitate the delivery of smoking cessation counseling to pharmacy patients. Results suggest that EQ was successful in increasing (a) the delivery of cessation counseling, (b) quit attempts, and (c) quit rates. Pharmacists can play an important role in the effective delivery of smoking cessation counseling.
| S-EPMC2825100 | biostudies-literature