Biomarker Feedback Research Articles

Showing smokers with vascular disease images of their arteries to motivate cessation: A pilot study

To examine the potential impact of visual personalized biomarker feedback on intention to stop smoking and to evaluate possible underlying causal pathways. This study is a pilot for a randomized controlled trial. Outcome measures were assessed immediately after the intervention and at 4 weeks follow-up. Twenty-three smokers attending a cardiovascular outpatient clinic in London were randomly allocated to one of two groups: to either receive a print-out of an ultrasound image of their carotid artery showing atherosclerotic plaque alongside an image of a disease-free artery, or to receive routine verbal feedback. The intervention significantly increased perceptions of susceptibility to smoking-related diseases (Cohen's h=0.99) and led to increases both in engagement in smoking cessation behaviours (Cohen's h=0.79) and intentions to stop smoking (Cohn's d=0.44). The latter was moderated by self-efficacy: the intervention increased intention to stop smoking only in people with higher levels of self-efficacy with regard to stopping smoking. This study provides preliminary support for the potential effectiveness of personalized biomarker feedback to increase intentions to stop smoking. It also highlights the need to target and increase self-efficacy in smoking cessation interventions.

An intervention study of smoking cessation with feedback on genetic cancer susceptibility in Japan

Background. To evaluate whether feedback of genetic information regarding an L-myc polymorphism, identified as impacting on tobacco-related cancer risk, has an influence on smoking cessation, an intervention study was conducted. Methods. We recruited smokers from first-visit outpatients at Aichi Cancer Center Hospital. Six hundred and seventeen participated and were allocated into two groups: the biomarker feedback group (BF) and the follow-up smoking status group (FS). The subjects were asked for their smoking status at enrolment and at 3- and 9-month follow-ups. BF subjects were notified about their L-myc genotype. Results. The smoking cessation rate at 9-month follow-up was essentially the same for both BF and FS cases, at 18.8% and 17.0%, respectively ( P = 0.798). However, a difference in the rate was evident with non-cancer subjects (12.7% and 8.4%, respectively, P = 0.237), especially in females (15.0% and 4.2%, respectively, P = 0.024). The non-cancer subjects informed of their genotype were more likely to quit smoking than the FS patients; particularly in those having a risky genotype, this was significant (odds ratio: 2.87, P = 0.003). Again it was most prominent in females. Conclusion. Feedback regarding an L-myc polymorphism did not impact on smoking cessation overall but appeared to benefit smokers without cancer. In addition, gender could affect the response to the feedback.

Dispositional motivations and genetic risk feedback

This study examined interest in genetic testing for lung cancer susceptibility among college students, a group whose smoking rates have increased significantly in the last decade. Sixteen smokers who participated in focus group discussions indicated a generally high level of interest in testing. They also indicated that knowledge of genetic susceptibility would make them feel anxious and motivate them to quit smoking. The study also examined, in a separate sample of undergraduate smokers ( n = 186), whether these outcomes depend on personality differences in threat sensitivity—responsiveness of the behavioral inhibition system (BIS)—and reward sensitivity—responsiveness of the behavioral activation system (BAS). Smokers completed measures of personality and risk perceptions at baseline and rated risk perceptions, affect, and likelihood of changing smoking behavior in response to 2 hypothetical risk feedback scenarios (high vs. low risk). Smokers higher in reward sensitivity (reward responsiveness) evidenced greater interest in taking genetic tests. If a test indicated elevated risk smokers higher in reward responsiveness would perceive themselves at increased risk and attempt to quit smoking. Threat sensitive smokers would react with greater negative affect. Overall, results indicate that genetic biomarker feedback is a motivator for college student smokers to quit and would be more effective among smokers high in reward sensitivity.

Motivating prepartum smoking cessation: a consideration of biomarker feedback.

Maternal smoking is the single most important modifiable cause of poor pregnancy outcomes in the United States. To further reduce prepartum smoking prevalence, new and innovative treatment strategies have been called for. According to the Public Health Service's clinical practice guideline, one counseling strategy that warrants further investigation is use of biomarker feedback to educate women about the adverse effects of their smoking and the risks it poses to their health and the health of their unborn children. Many women who fail to quit smoking during pregnancy underestimate its risks. Providing tangible evidence of smoking-related risk may help motivate future cessation attempts. This article looks at the rationale and evidence for using biomarker feedback as a cessation aid during pregnancy. Limitations of the existing research and key considerations for future investigations are presented.

Motivating smoking cessation among dental patients: smokers' interest in biomarker testing for susceptibility to tobacco-related cancers.

This study examined interest in receiving biomarker testing for tobacco-related cancer susceptibility among 148 smokers seeking routine oral health care in a public dental clinic. Patients completed a brief, self-report survey assessing their smoking history, tobacco-related illness history, readiness to quit smoking, perceived risk and worry about cancer, and their interest in being tested for genetic susceptibility for tobacco-related cancers. Participants were socioeconomically and ethnically diverse, and were primarily long-standing, nicotine-dependent smokers. Most reported (83%) interest in biomarker feedback, and most (86%) understood that a certain genetic make-up could place them at increased risk for tobacco-related cancers. Those participants who felt that quitting smoking would reduce future cancer risk, were at least in the contemplation stage of quitting readiness, felt more worried and more at risk for developing cancer, women and younger smokers were more interested in genetic testing (all ps < 0.20). Multivariate logistic regression analyses indicated that gender and risk perceptions were associated with interest in testing. The public dental clinic setting holds potential for innovative smoking cessation interventions using personalized risk feedback.

Genetic susceptibility testing in smoking-cessation treatment: One-year outcomes of a randomized trial

This study evaluated the long-term impact of genetic susceptibility biomarker feedback on smoking behavior change and symptoms of depression in 426 male and female smokers. Smokers were randomized to one of three smoking-cessation interventions: minimal contact quit-smoking counseling (QSC), QSC + exposure biomarker feedback (EBF), and QSC + EBF + biomarker feedback about genetic susceptibility to lung cancer (SBF). The logistic regression model for quit attempt revealed a significant main effect for treatment such that participants in the SBF group were more than two times more likely to make a quit attempt than participants in the QSC group. There was not a significant difference between EBF and QSC participants. The results also revealed a significant effect for baseline stage of change. Those smokers in the preparation stage at baseline were more than three times more likely to make a quit attempt over the 12 months following treatment. The models for 30-day cessation and follow-up smoking rate revealed no significant main or interacting effects for treatment. A repeated measures analysis of variance revealed a significant main effect for time, indicating that an initial increase in depression in the genetic susceptibility group was not maintained over time. Genetic susceptibility feedback has the intended effects on motivation to quit, but it may need to be delivered within a more intensive smoking-cessation treatment for the heightened motivation to translate into smoking cessation.